@ IKIM
EN Universitätsmedizin Essen — Institut für Künstliche Intelligenz in der Medizin
Jens Kleesiek

Jens Kleesiek

Professor für translationale bildgeführte Onkologie
Institut für Künstliche Intelligenz in der Medizin
Im Zentrum von Jens’ Forschung steht die Anwendung selbstüberwachter und schwach überwachter Lernverfahren, um klinisch relevante Muster in großen, komplexen Daten zu erkennen, sowie die Integration multimodaler Datenquellen zur Verbesserung der Entscheidungsfindung am Behandlungsort. Er studierte Medizin in Heidelberg und Bioinformatik in Hamburg, wo er 2012 in Informatik promovierte. Nach Stationen am Universitätsklinikum Heidelberg und am Deutschen Krebsforschungszentrum (DKFZ) erwarb er die Facharztanerkennung in Radiologie, die Habilitation (venia legendi) und die Zusatzweiterbildung Medizinische Informatik.

Publikationen

2026

Can one model fit all? Evaluating foundation models for time series forecasting across clinical medicine Gernot Pucher, Amin Dada, Aurel Agbodoyetin, Felix Nensa, Martin Schuler, Hans Christian Reinhardt, Jens Kleesiek, Christopher Sauer Artificial Intelligence in Medicine Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study Bahadir Eryilmaz, Kamyar Arzideh, Mikel Bahn, Hendrik Damm, Sina Warmer, Henning Schäfer, Ahmad Idrissi-Yaghir, Tabea M. G. Pakull, Lea Jessica Albrecht, Jens Kleesiek, Georg C. Lodde, Christoph M. Friedrich, Elisabeth Livingstone, Dirk Schadendorf, Katarzyna Borys, Felix Nensa, René Hosch Journal of Medical Internet Research Large language models enable prognostic stratification of cancer patients using real-world clinical notes Niklas Kiermeyer, Tim Lenfers, Amin Dada, Julian Friedrich, Sameh Khattab, Eric Knop, Jan Egger, Markus Pauly, Andreas Jung, Grégoire Montavon, Jens T. Siveke, Marcel Wiesweg, Stefan Kasper, Ulf Peter Neumann, Frederick Klauschen, Sylvia Hartmann, Martin Schuler, Philipp Keyl, Jens Kleesiek, Julius Keyl PLOS Digital Health ++nnU-Net: Scaling nnU-Net with Prefix-Based Data Augmentation Ana Sofia Ferreira Santos, André Ferreira, Gijs Luijten, Naida Solak, Lisle Faray de Paiva, Behrus Hinrichs-Puladi, Jens Kleesiek, Jan Egger, Victor Alves arXiv AI and Blood Banking: Predicting Transfusion Demand - A Systematic Review of Forecasting Approaches Merlin Engelke, Osman Alperen Çinar-Koraş, Jens Kleesiek, Peter A. Horn Transfusion Medicine and Hemotherapy Configurable Clinical Information Extraction with Agentic RAG: What Works, What Breaks, and Why Osman Alperen Çinar-Koraş, Marie Bauer, Sameh Khattab, Merlin Engelke, Moon-Sung Kim, Stephan Settelmeier, Shigeyasu Sugawara, Fabian Freisleben, Felix Nensa, Jens Kleesiek arXiv Development and Clinical Validation of a Multimodal AI Framework to Predict Persistent Fever During Antibiotic Therapy in Hospitalized Patients with Cancer Christopher Sauer, Gernot Pucher, Kevin Kopp, Aman Deep, Anna-Maria Stark, Marcel Wiesweg, Martin Schuler, Felix Nensa, Hans Christian Reinhardt, Jens Kleesiek Research Square Vessel branching patterns quantified by artificial intelligence as a novel prognostic biomarker in advanced renal cell carcinoma: A post-hoc analysis of the CM914 trial. Hannah Timm, Marieta Toma, Julian Friedrich, Fabian Hörst, Niklas Klümper, Yangping Li, Alexander Effland, Michael Hölzel, Jens Kleesiek, Viktor Grünwald Journal of Clinical Oncology Automatic field-of-view planning for magnetic resonance shoulder imaging using Deep Learning Anton Sheahan Quinsten, Simon Hornisch, Marcel Gratz, Mathias Holtkamp, Michael Forsting, Kai Nassenstein, Lale Umutlu, Armin Lühr, Jens Kleesiek, Moon-Sung Kim, Aydin Demircioğlu Journal of Medical Imaging and Radiation Sciences Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs Amr Abourayya, Jens Kleesiek, Michael Kamp arXiv Robustness of breast lesion segmentation under MRI undersampling improves with k-space-aware deep learning Lukas Thomas Rotkopf, Marco Schlimbach, Julius C. Holzschuh, Heinz-Peter Schlemmer, Jens Kleesiek, Moritz Rempe arXiv Salvage Radiotherapy Confers an Overall Survival Advantage in Biochemical Recurrence of Prostate Cancer: Evidence from the International PROMISE Registry Nika Guberina, Madeleine J. Karpinski, Maja Guberina, Sebastian Hoberück, Matthias Miederer, Tobias Hölscher, Isabel Rauscher, Matthias Eiber, Andrew Nguyen, Lela Theus, Matteo Bauckneht, Helen Scholtissek, Kambiz Rahbar, Jonathan Miksch, Daniele Antonio Pizzuto, Karolien Goffin, Caner Civan, Shima F. Reinwand, Andreas Stang, Jens Kleesiek, Anja Merkel-Jens, Lale Umutlu, Alfonso Santangelo, Timo F. W. Soeterik, Stephan Beintner-Skawran, Andrej Vondrak, Anders Bjartell, Laura Evangelista, Sazan Rasul, Marcin Miszczyk, Adrien Holzgreve, Gabriel T. Sheikh, Andrea Di Giorgio, Andrea Farolfi, Ken Herrmann, Boris Hadaschik, Wolfgang P. Fendler, Martin Stuschke Journal of Nuclear Medicine The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT – Multitracer Multicenter Generalization Jakob Dexl, Katharina Jeblick, Andreas Mittermeier, Balthasar Schachtner, Anna Theresa Stüber, Johanna Topalis, Maximilian R. Rokuss, Fabian Isensee, Klaus Maier-Hein, Hamza Kalisch, Jens Kleesiek, Constantin Seibold, Hussain Alasmawi, Lap Yan Lennon Chan, Yixuan Yuan, Alexander Jaus, Rainer Stiefelhagen, Pauline Ornela Megne Choudja, Konstantin Nikolaou, Christian la Fougère, Sergios Gatidis, Matthias P. Fabritius, Maurice Heimer, Gizem Abaci, Lalith Kumar Shiyam Sundar, Rudolf A. Werner, Jens Ricke, Clemens C. Cyran, Thomas Küstner, Michael Ingrisch arXiv Umsetzung der Leitlinienempfehlungen einer organprotektiven Therapie bei Menschen mit Typ-2-Diabetes und Herz-Kreislauf-Erkrankungen, Herzinsuffizienz oder Nierenerkrankungen: Erkenntnisse aus der Praxis einer deutschen Universitätsklinik Karzan Suliman, Young Hee Lee-Barkey, Alexander Brehmer, Bernd Stratmann, Jasmin M. Klose, Tim Lenfers, Jens Kleesiek, Susanne Reger-Tan, Julius Keyl Diabetologie und Stoffwechsel CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models Fabian Hörst, Moritz Rempe, Helmut Becker, Lukas Heine, Julius Keyl, Jens Kleesiek Computer Methods and Programs in Biomedicine Choroidal vascularity across aging and the spectrum of age-related macular degeneration: an AI-based OCT study Benja Vahldiek, Lukas Heine, Anna Vahldiek, Jasper Schröter, Jan-Niklas Wolf, Michael Swora, Lars Reissberg, Laurenz Pauleikhoff, Jens Kleesiek, Daniel Pauleikhoff Graefe’s Archive for Clinical and Experimental Ophthalmology Explainable AI Predicts Hematoxicity from Cancer Treatment Using Multimodal Real-World Data Julius Keyl, Philipp Keyl, Tim Lenfers, René Hosch, Niklas Kiermeyer, Simon Schallenberg, Moon-Sung Kim, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Fuehrer-Sakel, Sied Kebir, Viktor Grünwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper, Rainer Kimmig, Stephan Lang, Tienush Rassaf, Alexander Roesch, Dirk Schadendorf, Jens T. Siveke, Martin Stuschke, Ulrich Sure, Matthias Totzeck, Anja Welt, Marcel Wiesweg, Jan Egger, Sylvia Hartmann, Grégoire Montavon, Felix Nensa, Klaus-Robert Müller, Martin Schuler, Jens Kleesiek, Frederick Klauschen medRxiv Generative Modeling of Complex-Valued Brain MRI Data Marco Schlimbach, Moritz Rempe, Jessica Mnischek, Lukas Thomas Rotkopf, Jens Weingarten, Jens Kleesiek, Kevin Kröninger arXiv Screening for patients at risk for cardiac amyloidosis via electronic health records: A multicenter machine learning development and validation study Clemens P. Spielvogel, David Kersting, David Haberl, Maximilian Autherith, Laurenz Hauptmann, Josef Yu, Juliane Hennenberg, Kilian Kluge, Moon-Sung Kim, Stephan Settelmeier, Jing Ning, Katarina Kumpf, Markus Köfler, Felix Hofer, Katharina Mascherbauer, Julia Mascherbauer, Andreas Kammerlander, Tatjana Traub-Weidinger, Gregor Kasprian, Tienush Rassaf, Jens Kleesiek, Ken Herrmann, Philipp Bartko, Christian Hengstenberg, Marcus Hacker, Raffaella Calabretta, Christian Nitsche medRxiv Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models Kamyar Arzideh, René Hosch, Amin Turki, Bahadir Eryilmaz, Mikel Bahn, Henning Schäfer, Ahmad Idrissi-Yaghir, Sameh Khattab, Amin Dada, Hideo A. Baba, Dirk Schadendorf, Martin Schuler, Jens Kleesiek, Sylvia Hartmann, Felix Nensa, Julius Keyl JCO Clinical Cancer Informatics AIANO: Enhancing Information Retrieval with AI-Augmented Annotation Sameh Khattab, Marie Bauer, Lukas Heine, Till Rostalski, Jens Kleesiek, Julian Friedrich arXiv Guidelines for Reporting Studies on Large Language Models in Radiology: An International Delphi Expert Survey Jonathan Kottlors, Andra-Iza Iuga, Christian Bluethgen, Keno K. Bressem, Jakob Nikolas Kather, Linda Moy, Christoph Wald, Wei Wang, Tianming Liu, Erik Ranschaert, Thomas Dratsch, Jens Kleesiek, Roman Johannes Gertz, Pranav Rajpurkar, Arash Bedayat, Matthias A. Fink, Almut Zeeck, Akshay Chaudhari, Tarik Alkasab, Honghan Wu, Felix Nensa, Benyou Wang, Nils Große Hokamp, Kai Roman Laukamp, Thorsten Persigehl, David Maintz, Daniel Truhn, Simon Lennartz Radiology Large language models for simplifying radiology reports: a systematic review and meta-analysis of patient, public, and clinician evaluations Samer Alabed, Abigail Anderson, Ahmed Maiter, Anthony Hughes, Niamh McAnenly, Mahan Salehi, Michael Sharkey, Krit Dwivedi, Alireza Hokmabadi, Fares Alahdab, Mark Stevenson, Ning Ma, Robert Gaizauskas, Tim J Chico, Andy J Swift, Junyi Jessy Li, Jens Kleesiek, Curtis Langlotz The Lancet Digital Health Less Finetuning, Better Retrieval: Rethinking LLM Adaptation for Biomedical Retrievers via Synthetic Data and Model Merging Sameh Khattab, Jean-Philippe Corbeil, Osman Alperen Koraş, Amin Dada, Julian Friedrich, François Beaulieu, Paul Vozila, Jens Kleesiek arXiv Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline Ismail Mese, Tugba Akinci D’Antonoli, Christian Bluethgen, Keno K. Bressem, Renato Cuocolo, Akshay Chaudhari, Ali S. Tejani, Amanda Isaac, Andrea Ponsiglione, Aymen Meddeb, Bardia Khosravi, Bastien Le Guellec, Charles E. Kahn, Chong Hyun Suh, Daniel Pinto dos Santos, Dow-Mu Koh, Eleftherios Tzanis, Elmar Kotter, Errol Colak, Felipe Kitamura, Felix Busch, Felix Nensa, Guang Yang, Henning Müller, Jakob Nikolas Kather, Jawed Nawabi, Jens Kleesiek, Jingyu Zhong, João Santinha, Johannes Haubold, José Guilherme De Almeida, Karim Lekadir, Kostas Marias, Lara Noelle Reiner, Lena Maier-Hein, Linda Moy, Lisa C. Adams, Luis Martí-Bonmatí, Magdalini Paschali, Mana Moassefi, Matthias Dietzel, Merel Huisman, Michael Ingrisch, Michail E. Klontzas, Nikolaos Papanikolaou, Oliver Diaz, Paulo Kuriki, Philipp Seeböck, Pouria Rouzrokh, Quirin D. Strotzer, Seong Ho Park, Shahriar Faghani, Soroosh Tayebi Arasteh, Su Hwan Kim, Vasantha Kumar Venugopal, Woojin Kim, Burak Kocak Diagnostic and Interventional Radiology Unified Causal Discovery and Missing Data Imputation Osman Mian, Jens Kleesiek, Michael Kamp Achieving Over 10× Faster Sample Generation with Conditional Denoising Diffusion André Ferreira, Gijs Luijten, Behrus Hinrichs-Puladi, Jens Kleesiek, Victor Alves, Jan Egger Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores Maximilian Fischer, Alexander Muckenhuber, Robin Peretzke, Luay Farah, Constantin Ulrich, Sebastian Ziegler, Philipp Schader, Lorenz Feineis, Hanno Gao, Shuhan Xiao, Michael Götz, Marco Nolden, Katja Steiger, Jens T. Siveke, Lukas Endrös, Rickmer Braren, Jens Kleesiek, Peter Schüffler, Peter Neher, Klaus Maier-Hein The Journal of Pathology Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer Julius Keyl, René Hosch, Fabian Hörst, Philipp Keyl, Amin Dada, Johannes Haubold, Jannis Straus, Jan Egger, Arndt Stahler, Annika Kurreck, Alexej Ballhausen, Sebastian Stintzing, Stefan Fruehauf, Lothar Müller, Annabel H. S. Alig, Tanja Trarbach, Sylvia Hartmann, Felix Nensa, Jens Kleesiek, Stefan Kasper, Martin Schuler, Dominik P. Modest Clinical Cancer Research Effects of a transformer-based AI-based application to support incontinence-associated dermatitis and pressure injury assessment, nursing care and documentation: Controlled pilot intervention study Hannah Pinnekamp, Vanessa Priester, Johanna Steidle, Khalid Majjouti, Alexander Brehmer, Michaela Tapp-Herrenbrück, Michael Aleithe, Jens Kleesiek, Bernadette Hosters, Uli Fischer International Journal of Nursing Studies Advances Efficient Complex-Valued Vision Transformers for MRI Classification Directly from k-Space Moritz Rempe, Lukas Thomas Rotkopf, Marco Schlimbach, Helmut Becker, Fabian Hörst, Johannes Haubold, Philipp Dammann, Kevin Kröninger, Jens Kleesiek arXiv Enforcing Anatomical Symmetry with Euclidean Distance Transforms for Low-Field MRI Bilateral Structure Segmentation Zdravko Marinov, Jens Kleesiek, Rainer Stiefelhagen Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance From screen to space: evaluating Siemens’ Cinematic Reality application for medical imaging on the Apple Vision Pro Gijs Luijten, Lisle Faray de Paiva, Sebastian Krueger, Alexander Brost, Laura Mazilescu, Ana Sofia Ferreira Santos, Peter F. Hoyer, Jens Kleesiek, Sophia Marie-Therese Schmitz, Ulf Peter Neumann, Jan Egger Frontiers in Virtual Reality GRASPing Anatomy to Improve Pathology Segmentation Keyi Li, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen Machine Learning in Medical Imaging Implementation of guideline-recommended organ-protective therapy in people with type 2 diabetes and cardiovascular disease, heart failure, or kidney disease: real-world evidence from a German University Hospital Karzan Suliman, Young Hee Lee-Barkey, Alexander Brehmer, Bernd Stratmann, Jasmin M. Klose, Tim Lenfers, Jens Kleesiek, Susanne Reger-Tan, Julius Keyl Frontiers in Endocrinology Improving Medical Visual Instruction Tuning with Labeled Datasets Amin Dada, Amanda Butler Contreras, Constantin Seibold, Osman Alperen Koraş, Julius Keyl, Aokun Chen, Cheng Peng, Alexander Brehmer, Kaleb Smith, Jiang Bian, Yonghui Wu, Jens Kleesiek Foundation Models for General Medical AI Not All Ensembles Are Equal: A Short Study on Moderate to Severe Traumatic Brain Injury Segmentation Methods Zdravko Marinov, Jens Kleesiek, Rainer Stiefelhagen Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries OmniMedSeg: A Large-Scale Standardized Benchmark for Interactive Medical Image Segmentation Zdravko Marinov, Alexander Jaus, Simon Reiß, Tobias Schlumberger, Jiale Wei, Di Wen, Junwei Zheng, Jens Kleesiek, Rainer Stiefelhagen Region-Normalized DPO for Medical Image Segmentation under Noisy Judges Hamza Kalisch, Constantin Seibold, Jens Kleesiek, Ken Herrmann, Frederic Jonske arXiv

2025

AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain Generalization Jakob Dexl, Sergios Gatidis, Marcel Früh, Katharina Jeblick, Andreas Mittermeier, Anna Theresa Stüber, Balthasar Schachtner, Johanna Topalis, Matthias P. Fabritius, Sijing Gu, Gowtham Krishnan Murugesan, Jeff VanOss, Jin Ye, Junjun He, Anissa Alloula, Bartłomiej W. Papież, Zacharia Mesbah, Romain Modzelewski, Matthias Hadlich, Zdravko Marinov, Rainer Stiefelhagen, Fabian Isensee, Klaus Maier-Hein, Adrian Galdran, Konstantin Nikolaou, Christian la Fougère, Moon-Sung Kim, Nico Kallenberg, Jens Kleesiek, Ken Herrmann, Rudolf A. Werner, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner Journal of Nuclear Medicine 278P Genetic subtype prediction in diffuse gliomas with a vision transformer-based model P. S. Gundla, F. Atak, M. Nezamabadi, N. Leimkühler, S. Alig, S. Klein, Jens Kleesiek, Hans Christian Reinhardt, E. Kocakavuk ESMO Real World Data and Digital Oncology Advancing Continuous Glucose Monitoring for Inpatient Clinical Decision Support: Individual Algorithmic Mean Absolute Relative Difference Jill von Conta, Fin Hendrik Bahnsen, Lutz Heinemann, Lukas van Baal, Jens Kleesiek, Dagmar Fuehrer-Sakel, Susanne Tan Diabetes Care Automated CT-based sarcopenia assessment for risk stratification of patients undergoing colorectal cancer resection Johannes Vogelsang, Gernot Pucher, Fabian Hörst, René Hosch, Johannes Haubold, Philipp Keyl, Christopher Sauer, David Albers, Peter Markus, Jan P. Neuhaus, Andreas D. Rink, Jürgen Treckmann, Ulf Peter Neumann, Kai Nassenstein, Michael Forsting, Hideo A. Baba, Jan Egger, Stefan Kasper, Martin Schuler, Felix Nensa, Jens Kleesiek, Julius Keyl Clinical Surgical Oncology Automated measurement of macular neovascularization lesion size in nAMD using AI segmentation Anna Vahldiek, Lukas Heine, Benja Vahldiek, Jasper Schröter, Jan-Niklas Wolf, Michael Swora, Lars Reissberg, Laurenz Pauleikhoff, Jens Kleesiek, Daniel Pauleikhoff Graefe’s Archive for Clinical and Experimental Ophthalmology Iterative Begleitevaluation eines KI-Entwicklungsprojekts in der Pflege: Eine multizentrische, modifizierte Delphi-Studie Michaela Tapp-Herrenbrück, Khalid Majjouti, Alexander Brehmer, Vanessa Priester, Hannah Pinnekamp, Michael Aleithe, Uli Fischer, Jens Kleesiek, Bernadette Hosters 70. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. \textbar PUBLISSO CONFERENCE CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation Hamza Kalisch, Fabian Hörst, Jens Kleesiek, Ken Herrmann, Constantin Seibold 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) FHIR-Former: enhancing clinical predictions through Fast Healthcare Interoperability Resources and large language models Merlin Engelke, Giulia Baldini, Jens Kleesiek, Felix Nensa, Amin Dada Journal of the American Medical Informatics Association Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification Katarzyna Borys, Johannes Haubold, Julius Keyl, Maria A. Bali, Riccardo De Angelis, Kévin Brou Boni, Nicolas Coquelet, Judith Kohnke, Giulia Baldini, Lennard Kroll, Sara Schramm, Andreas Stang, Eugen Malamutmann, Jens Kleesiek, Moon-Sung Kim, Stefan Kasper, Jens T. Siveke, Marcel Wiesweg, Anja Merkel-Jens, Benedikt Michael Schaarschmidt, Viktor Grünwald, Sebastian Bauer, Arzu Oezcelik, Servet Bölükbas, Ken Herrmann, Rainer Kimmig, Stephan Lang, Jürgen Treckmann, Martin Stuschke, Boris Hadaschik, Lale Umutlu, Michael Forsting, Dirk Schadendorf, Christoph M. Friedrich, Martin Schuler, René Hosch, Felix Nensa npj Digital Medicine LiMeTrack: A lightweight biosample management platform for the multicenter SATURN3 consortium Florian Heyl, Jonas Gassenschmidt, Lukas Heine, Frederik Voigt, Jens Kleesiek, Oliver Stegle, Jens T. Siveke, Melanie Boerries, Roland F. Schwarz, Laura Godfrey medRxiv Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data Jonah Bosserhoff, Julius Keyl, Tim Lenfers, Dagmar Fuehrer-Sakel, Marc Wichert, Frederick Klauschen, Martin Schuler, Sylvia Hartmann, Philipp Keyl, Jens Kleesiek medRxiv Controlled Pilot Intervention Study on the Effects of an AI-Based Application to Support Incontinence-Associated Dermatitis and Pressure Injury Assessment, Nursing Care and Documentation: Study Protocol Hannah Pinnekamp, Vanessa Rentschler, Khalid Majjouti, Alexander Brehmer, Michaela Tapp-Herrenbrück, Michael Aleithe, Jens Kleesiek, Bernadette Hosters, Uli Fischer Research in Nursing & Health A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment Jean-Philippe Corbeil, Amin Dada, Jean-Michel Attendu, Asma Ben Abacha, Alessandro Sordoni, Lucas Caccia, François Beaulieu, Thomas Lin, Jens Kleesiek, Paul Vozila Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) Does Biomedical Training Lead to Better Medical Performance? Amin Dada, Osman Alperen Koraş, Marie Bauer, Jean-Philippe Corbeil, Amanda Butler Contreras, Constantin Seibold, Kaleb Smith, Julian Friedrich, Jens Kleesiek Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM²) Nursing-centered development of an AI-based decision support system in pressure ulcer and incontinence-associated dermatitis management - a mixed methods study Khalid Majjouti, Vanessa Priester, Michaela Tapp-Herrenbrück, Alexander Brehmer, Hannah Pinnekamp, Michael Aleithe, Uli Fischer, Jens Kleesiek, Bernadette Hosters BMC Nursing Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence Models Lukas Heine, Anna Vahldiek, Benja Vahldiek, Fabian Hörst, Constantin Seibold, Mael Lever, Laurenz Pauleikhoff, Nikolaos Bechrakis, Daniel Pauleikhoff, Jens Kleesiek Translational Vision Science & Technology Towards Conditioning Clinical Text Generation for User Control Osman Alperen Koraş, Rabi Bahnan, Jens Kleesiek, Amin Dada Findings of the Association for Computational Linguistics: ACL 2025 An automated information extraction model for unstructured discharge letters using large language models and GPT-4 Robert M. Siepmann, Giulia Baldini, Cynthia S. Schmidt, Daniel Truhn, Gustav Anton Müller-Franzes, Amin Dada, Jens Kleesiek, Felix Nensa, René Hosch Healthcare Analytics De-identification of medical imaging data: a comprehensive tool for ensuring patient privacy Moritz Rempe, Lukas Heine, Constantin Seibold, Fabian Hörst, Jens Kleesiek European Radiology Performing the HINTS-exam using a mixed-reality head-mounted display in patients with acute vestibular syndrome: a feasibility study Nadia Sadok, Gijs Luijten, Fin Hendrik Bahnsen, Christina Gsaxner, Lorenz Peters, Theda Eichler, Theresa Rombach, Stephan Lang, Sameh Khattab, Jens Kleesiek, Dagny Holle, Moritz Meyer, Jan Egger Frontiers in Neurology Preliminary Evaluation of an Open-Source LLM for Lay Translation of German Clinical Documents Tabea M. G. Pakull, Amin Dada, Hendrik Damm, Anke Fleischhauer, Sven Benson, Noëlle Bender, Nicola Prasuhn, Katharina Kaminski, Christoph M. Friedrich, Peter A. Horn, Jens Kleesiek, Dirk Schadendorf, Ina Pretzell Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health) Accuracy and Reliability of Intermittent Scanning and Real-Time Continuous Glucose Monitoring Systems in Diabetes Emergencies Lukas van Baal, Lutz Heinemann, Johanna Reinold, Jill von Conta, Fin Hendrik Bahnsen, Jens Kleesiek, Dagmar Führer, Susanne Tan Journal of Diabetes Science and Technology Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Yuxuan Chen, Behrus Puladi, Fen-hua Zhao, Kelsey L. Pomykala, Jens Kleesiek, Alejandro F. Frangi, Jan Egger ACM Comput. Surv. Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Lisa C. Adams, Keno K. Bressem Journal of the American Medical Informatics Association PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation Moritz Rempe, Fabian Hörst, Helmut Becker, Marco Schlimbach, Lukas Thomas Rotkopf, Kevin Kröninger, Jens Kleesiek arXiv Unlocking the potential of digital pathology: Novel baselines for compression Maximilian Fischer, Peter Neher, Peter Schüffler, Sebastian Ziegler, Shuhan Xiao, Robin Peretzke, David Clunie, Constantin Ulrich, Michael Baumgartner, Alexander Muckenhuber, Silvia Dias Almeida, Michael Götz, Jens Kleesiek, Marco Nolden, Rickmer Braren, Klaus Maier-Hein Journal of Pathology Informatics Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosis Luca Salhöfer, Francesco Bonella, Mathias Meetschen, Lale Umutlu, Michael Forsting, Benedikt Michael Schaarschmidt, Marcel Klaus Opitz, Jens Kleesiek, René Hosch, Sven Koitka, Vicky Parmar, Felix Nensa, Johannes Haubold Journal of Thoracic Imaging Cracking the PUMA Challenge in 24 Hours with CellViT++ and nnU-Net Negar Shahamiri, Moritz Rempe, Lukas Heine, Jens Kleesiek, Fabian Hörst arXiv Virtual reality support during systemic cancer therapy to improve anxiety/depressive symptoms and reduce toxicity in patients with gastrointestinal cancers—OncoVR Stefan Kasper, S. Liszio, K. Schorrmann, M. Gerigk, S. Jovic, Oliver Basu, K. Kostbade, B. Goraus, Abdelrahman Elsakka, Behrus Puladi, Jens Kleesiek, Martin Schuler, Gijs Luijten, Jan Egger ESMO Gastrointestinal Oncology Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence Julius Keyl, Philipp Keyl, Grégoire Montavon, René Hosch, Alexander Brehmer, Liliana Mochmann, Philipp Jurmeister, Gabriel Dernbach, Moon-Sung Kim, Sven Koitka, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Führer-Sakel, Martin Glas, Viktor Grünwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper, Rainer Kimmig, Stephan Lang, Tienush Rassaf, Alexander Roesch, Dirk Schadendorf, Jens T. Siveke, Martin Stuschke, Ulrich Sure, Matthias Totzeck, Anja Welt, Marcel Wiesweg, Hideo A. Baba, Felix Nensa, Jan Egger, Klaus-Robert Müller, Martin Schuler, Frederick Klauschen, Jens Kleesiek Nature Cancer MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters Amin Dada, Osman Alperen Koraş, Marie Bauer, Amanda Butler, Kaleb Smith, Jens Kleesiek, Julian Friedrich arXiv MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque Rafique Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Kuestner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Loeffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Eduardo A. Garza-Villarreal, Thania Balducci, Diego Angeles-Valdez, Roberto Souza, Leticia Rittner, Richard Frayne, Yuanfeng Ji, Soumick Chatterjee, Andreas Nuernberger, Joao Pedrosa, Carlos Ferreira, Guilherme Aresta, Antonio Cunha, Aurelio Campilho, Yannick Suter, Jose Garcia, Alain Lalande, Emmanuel Audenaert, Claudia Krebs, Timo Van Leeuwen, Evie Vereecke, Rainer Roehrig, Frank Hoelzle, Vahid Badeli, Kathrin Krieger, Matthias Gunzer, Jianxu Chen, Amin Dada, Miriam Balzer, Jana Fragemann, Frederic Jonske, Moritz Rempe, Stanislav Malorodov, Fin Hendrik Bahnsen, Constantin Seibold, Alexander Jaus, Ana Sofia Ferreira Santos, Mariana Lindo, André Ferreira, Victor Alves, Michael Kamp, Amr Abourayya, Felix Nensa, Fabian Hoerst, Alexander Brehmer, Lukas Heine, Lars E. Podleska, Matthias A. Fink, Julius Keyl, Konstantinos Tserpes, Moon-Sung Kim, Shireen Elhabian, Hans Lamecker, Dzenan Zukic, Beatriz Paniagua, Christian Wachinger, Martin Urschler, Luc Duong, Jakob Wasserthal, Peter F. Hoyer, Oliver Basu, Thomas Maal, Max J. H. Witjes, Ping Luo, Björn Menze, Mauricio Reyes, Christos Davatzikos, Behrus Puladi, Jens Kleesiek, Jan Egger, Zongwei Zhou, Jiancheng Yang, Chongyu Qu, Tiezheng Zhang, Xiaoxi Chen, Wenxuan Li, Marek Wodzinski, Paul Friedrich, Kangxian Xie, Viet Duc Vu, Christopher Schlachta, Sandrine De Ribaupierre, Rajnikant Patel, Roy Eagleson, Heinrich Mächler, Thomas Küstner, Arcot Sowmya, Vincenzo Ferrari, Florian Dubost, Stefanie Schreiber, Hendrik Mattern, Oliver Speck, Daniel Haehn, Christoph John, Vicky Vandenbossche, Aline Van Oevelen, Kate Duquesne, Hamza Mekhzoum, Jef Vandemeulebroucke, Hauke Heidemeyer, Rainer Röhrig, Frank Hölzle, Timo van Meegdenburg, Zdravko Marinov, Paul F. Jäger, Rainer Stiefelhagen, Fabian Hörst, Yannik Hanusrichter, Martin Weßling, Marcel Dudda, Gregor Schiele, Ti-chiun Chang, Seyed-Ahmad Ahmadi, Thomas M. Deserno, Pascal Fua, Alan L. Yuille Biomedical Engineering / Biomedizinische Technik Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-Guided Radiotherapy Nikoo Moradi, André Ferreira, Behrus Puladi, Jens Kleesiek, Emad Fatemizadeh, Gijs Luijten, Victor Alves, Jan Egger Head and Neck Tumor Segmentation for MR-Guided Applications Evaluating Zero-Shot Foundation Models for Time Series Forecasting in Clinical Settings: A Simulation Study with Electronic Health Records Gernot Pucher, Amin Dada, Felix Nensa, Martin Schuler, Christian Reinhardt, Jens Kleesiek, Christopher Sauer AI4TS: AI for Time Series Analysis Foreign object segmentation in chest x-rays through anatomy-guided shape insertion Constantin Seibold, Hamza Kalisch, Lukas Heine, Simon Reiß, Jens Kleesiek arXiv Implementierung von künstlicher Intelligenz (KI) im Gesundheitswesen: Historische Entwicklung, aktuelle Technologien und Herausforderungen Jill von Conta, Merlin Engelke, Fin Hendrik Bahnsen, Amin Dada, Elisabeth Liebert, Felix Nensa, Jens Kleesiek, Anke Diehl Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution Maximilian Fischer, Peter Neher, Tassilo Wald, Silvia Dias Almeida, Shuhan Xiao, Peter Schüffler, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Jens Kleesiek, Marco Nolden, Klaus Maier-Hein Medical Optical Imaging and Virtual Microscopy Image Analysis msiFlow: automated workflows for reproducible and scalable multimodal mass spectrometry imaging and microscopy data analysis Philippa Spangenberg, Sebastian Bessler, Lars Widera, Jenny Bottek, Mathis Richter, Stephanie Thiebes, Devon Siemes, Sascha D. Krauß, Lukasz G. Migas, Siva Swapna Kasarla, Prasad Phapale, Jens Kleesiek, Dagmar Führer, Lars C. Moeller, Heike Heuer, Raf Van de Plas, Matthias Gunzer, Oliver Soehnlein, Jens Soltwisch, Olga Shevchuk, Klaus Dreisewerd, Daniel R. Engel Nature Communications Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data Lukas Heine, Fabian Hörst, Jana Fragemann, Gijs Luijten, Jan Egger, Fin Hendrik Bahnsen, Saquib Sarfraz, Jens Kleesiek, Constantin Seibold, M. Saquib Sarfraz Machine Learning Methods in Visualisation for Big Data (EuroVis Workshop) Three-Dimensional Quantification of Macular OCT Alterations Improves the Diagnostic Performance of Artificial Intelligence Models Lukas Heine, Anna Vahldiek, Benja Vahldiek, Fabian Hörst, Constantin Seibold, Mael Lever, Laurenz Pauleikhoff, Nikolaos Bechrakis, Daniel Pauleikhoff, Jens Kleesiek Translational Vision Science & Technology Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries Frederic Jonske, Moon-Sung Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek Computer Methods and Programs in Biomedicine Why implementing machine learning algorithms in the clinic is not a plug-and-play solution: a simulation study of a machine learning algorithm for acute leukaemia subtype diagnosis Gernot Pucher, Till Rostalski, Felix Nensa, Jens Kleesiek, Hans Christian Reinhardt, Christopher Sauer eBioMedicine

2024

Brain Tumour Removing and Missing Modality Generation using 3D WDM André Ferreira, Gijs Luijten, Behrus Puladi, Jens Kleesiek, Victor Alves, Jan Egger arXiv Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation André Ferreira, Tiago Jesus, Behrus Puladi, Jens Kleesiek, Victor Alves, Jan Egger arXiv Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks Alexander Jaus, Constantin Seibold, Simon Reiß, Zdravko Marinov, Keyi Li, Zeling Ye, Stefan Krieg, Jens Kleesiek, Rainer Stiefelhagen The 39th Annual AAAI Conference on Artificial Intelligence Medical large language models are susceptible to targeted misinformation attacks Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Mueller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn npj Digital Medicine Real-world federated learning in radiology: hurdles to overcome and benefits to gain Markus Ralf Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon-Sung Kim, Nicolai R Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Klaus Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus Maier-Hein, Andreas Bucher, Rickmer Braren Journal of the American Medical Informatics Association Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging Sergios Gatidis, Marcel Früh, Matthias P. Fabritius, Sijing Gu, Konstantin Nikolaou, Christian la Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Yukun Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazzoli, Mehdi Astaraki, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner Nature Machine Intelligence Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset Alexander Jaus, Constantin Seibold, Kelsey Hermann, Negar Shahamiri, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen 2024 IEEE International Conference on Image Processing (ICIP) Combining PSMA-PET and PROMISE to re-define disease stage and risk in patients with prostate cancer: a multicentre retrospective study Madeleine J. Karpinski, Johannes Hüsing, Kevin Claassen, Lennart Möller, Hiltraud Kajüter, Florian Oesterling, Viktor Grünwald, Lale Umutlu, Jens Kleesiek, Tugce Telli, Anja Merkel-Jens, Anika Hüsing, Claudia Kesch, Ken Herrmann, Matthias Eiber, Sebastian Hoberück, Philipp Tobias Meyer, Felix Kind, Kambiz Rahbar, Michael Schäfers, Andreas Stang, Boris Hadaschik, Wolfgang P. Fendler The Lancet Oncology Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation? Alexander Jaus, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen arXiv Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting Maximilian R. Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus Maier-Hein arXiv Privacy-preserving large language models for structured medical information retrieval Isabella Catharina Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan, Zunamys I. Carrero, Daniel Paech, Jens Kleesiek, Matthias P. Ebert, Daniel Truhn, Jakob Nikolas Kather npj Digital Medicine AI-derived body composition parameters as prognostic factors in patients with HCC undergoing TACE in a multicenter study Lukas Müller, Aline Mähringer-Kunz, Timo Alexander Auer, Uli Fehrenbach, Bernhard Gebauer, Johannes Haubold, Benedikt Michael Schaarschmidt, Moon-Sung Kim, René Hosch, Felix Nensa, Jens Kleesiek, Thierno D. Diallo, Michel Eisenblätter, Hanna Kuzior, Natascha Roehlen, Dominik Bettinger, Verena Steinle, Philipp Mayer, David Zopfs, Daniel Pinto dos Santos, Roman Kloeckner JHEP Reports Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Jacqueline Lammert, Lisa C. Adams, Keno K. Bressem arXiv Early versus late response to PD-1-based immunotherapy in metastatic melanoma Georg C. Lodde, Fang Zhao, Rudolf Herbst, Patrick Terheyden, Jochen Utikal, Claudia Pföhler, Jens Ulrich, Alexander Kreuter, Peter Mohr, Ralf Gutzmer, Friedegund Meier, Edgar Dippel, Michael Weichenthal, Philipp Jansen, Bernd Kowall, Wolfgang Galetzka, Fabian Hörst, Jens Kleesiek, Birte Hellwig, Jörg Rahnenführer, Luisa Rajcsanyi, Triinu Peters, Anke Hinney, Jan-Malte Placke, Antje Sucker, Annette Paschen, Jürgen C. Becker, Elisabeth Livingstone, Lisa Zimmer, Alpaslan Tasdogan, Alexander Roesch, Eva Hadaschik, Dirk Schadendorf, Klaus Griewank, Selma Ugurel European Journal of Cancer Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management: a retrospective cohort and clinical implementation study Alexander Brehmer, Christopher Sauer, Jayson Salazar Rodríguez, Kelsey Herrmann, Moon-Sung Kim, Julius Keyl, Fin Hendrik Bahnsen, Benedikt Frank, Martin Koehrmann, Tienush Rassaf, Amir-Abbas Mahabadi, Boris Hadaschik, Christopher Darr, Ken Herrmann, Susanne Tan, Jan Buer, Thorsten Brenner, Hans Christian Reinhardt, Felix Nensa, Michael Gertz, Jan Egger, Jens Kleesiek Journal of Medical Internet Research Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi Computer Methods and Programs in Biomedicine How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation André Ferreira, Naida Solak, Jianning Li, Philipp Dammann, Jens Kleesiek, Victor Alves, Jan Egger arXiv Der mobile Patient Jan Egger, Jens Kleesiek Human Hospital: wertschätzend. sinnstiftend. menschlich. Multisensory Extended Reality Applications Offer Benefits for Volumetric Biomedical Image Analysis in Research and Medicine Kathrin Krieger, Jan Egger, Jens Kleesiek, Matthias Gunzer, Jianxu Chen Journal of Imaging Informatics in Medicine Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images Zdravko Marinov, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen CVPR24 MedSAMonLaptop Tumor likelihood estimation on MRI prostate data by utilizing k-Space information Moritz Rempe, Fabian Hörst, Constantin Seibold, Boris Hadaschik, Marco Schlimbach, Jan Egger, Kevin Kröninger, Felix Breuer, Martin Blaimer, Jens Kleesiek arXiv Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner arXiv Little is Enough: Improving Privacy by Sharing Labels in Federated Semi-Supervised Learning Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoff Webb, Michael Kamp arXiv CLUE: A Clinical Language Understanding Evaluation for LLMs Amin Dada, Marie Bauer, Amanda Butler Contreras, Osman Alperen Koraş, Constantin Seibold, Kaleb Smith, Jens Kleesiek arXiv GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger Medical Image Analysis A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction Michael Lackner, Behrus Puladi, Jens Kleesiek, Jan Egger, Jianning Li arXiv Advancing Healthcare Through Open Science: StudierFenster and MedShapeNet Christina Gsaxner, Gijs Luijten, Jianning Li, Jens Kleesiek, Behrus Puladi, Jan Egger Characteristics and outcomes of patients (pts) with metastatic castration-resistant prostate cancer (mCRPC) treated with lutetium-177–PSMA-617 (PSMA-RLT) in a real-world setting. David Kersting, Moon-Sung Kim, Lukas Puellen, Kathi Seidl-Rathkopf, Nicole Schinwald, Philani Mpofu, Ivy Altomare, Arun Sujenthiran, Trevor Joseph Royce, Christoph Buhl, Viktor Grünwald, Ken Herrmann, Jens Kleesiek, Boris Hadaschik Journal of Clinical Oncology Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review Ana Carolina Alves, André Ferreira, Gijs Luijten, Jens Kleesiek, Behrus Puladi, Jan Egger, Victor Alves arXiv Diminished Reality for Emerging Applications in Medicine through Inpainting Christina Gsaxner, Shohei Mori, Gijs Luijten, Viet Duc Vu, Timo van Meegdenburg, Gabriele A. Krombach, Jens Kleesiek, Eck Ulrich, Nassir Navab, Yan Guo, Xiaojun Chen, Frank Hölzle, Behrus Puladi, Jan Egger Metrics reloaded: recommendations for image analysis validation Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, A. Emre Kavur, Carole H. Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Annette Kopp-Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Björn Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger Nature Methods Response to the comment on “The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery: a narrative review” Behrus Puladi, Christina Gsaxner, Jens Kleesiek, Frank Hölzle, Rainer Röhrig, Jan Egger International Journal of Oral and Maxillofacial Surgery Understanding metric-related pitfalls in image analysis validation Annika Reinke, Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L. Martel, Erik Meijering, Björn Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein Nature Methods Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline Fabian Hörst, Sajad H. Schaheer, Giulia Baldini, Fin Hendrik Bahnsen, Jan Egger, Jens Kleesiek Bildverarbeitung für die Medizin 2024 Anatomy-Guided Pathology Segmentation Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon-Sung Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosis Luca Salhöfer, Francesco Bonella, Mathias Meetschen, Lale Umutlu, Michael Forsting, Benedikt Michael Schaarschmidt, Marcel Klaus Opitz, Jens Kleesiek, René Hosch, Sven Koitka, Vicky Parmar, Felix Nensa, Johannes Haubold Journal of Thoracic Imaging Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Jacqueline Lammert, Lisa C. Adams, Keno K. Bressem ChatGPT in healthcare: A taxonomy and systematic review Jianning Li, Amin Dada, Behrus Puladi, Jens Kleesiek, Jan Egger Computer Methods and Programs in Biomedicine Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi Zenodo Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy Zdravko Marinov, Paul F. Jäger, Jan Egger, Jens Kleesiek, Rainer Stiefelhagen IEEE Transactions on Pattern Analysis and Machine Intelligence Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical Data Frederic Jonske, Kevin Osthues, Amin Dada, Enrico Nasca, Jana Fragemann, Julian Alff, Oleh Bakumenko, Marcel Birnbach, Maxim Kondratenko, Lars Reinike, Benjamin Schulz, Fabian Siethoff, Tobias Simon, Joey Wang, Nils Zhang, Fin Hendrik Bahnsen, Jan Egger, Moon-Sung Kim, Maria Lymbery, Jens Kleesiek, Johannes Kraus Artificial Intelligence for Security: Enhancing Protection in a Changing World Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical Data Frederic Jonske, Kevin Osthues, Amin Dada, Enrico Nasca, Jana Fragemann, Julian Alff, Oleh Bakumenko, Marcel Birnbach, Maxim Kondratenko, Lars Reinike, Benjamin Schulz, Fabian Siethoff, Tobias Simon, Joey Wang, Nils Zhang, Fin Hendrik Bahnsen, Jan Egger, Moon-Sung Kim, Maria Lymbery, Jens Kleesiek, Johannes Kraus Artificial Intelligence for Security: Enhancing Protection in a Changing World Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning Maximilian Fischer, Peter Neher, Peter Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus Maier-Hein Machine Learning in Medical Imaging k-strip: A novel segmentation algorithm in k-space for the application of skull stripping Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kroeninger, Jan Egger, Jens Kleesiek Computer Methods and Programs in Biomedicine Multilingual Natural Language Processing Model for Radiology Reports -- The Summary is all you need! Mariana Lindo, Ana Sofia Ferreira Santos, André Ferreira, Jianning Li, Gijs Luijten, Gustavo Correia, Moon-Sung Kim, Benedikt Michael Schaarschmidt, Cornelius Deuschl, Johannes Haubold, Jens Kleesiek, Jan Egger, Victor Alves arXiv Prognostic value of deep learning-derived body composition in advanced pancreatic cancer—a retrospective multicenter study Julius Keyl, Andreas Bucher, F. Jungmann, René Hosch, A. Ziller, R. Armbruster, P. Malkomes, T. M. Reissig, Sven Koitka, I. Tzianopoulos, Philipp Keyl, K. Kostbade, David Albers, Peter Markus, Jürgen Treckmann, Kai Nassenstein, Johannes Haubold, Marcus R. Makowski, Michael Forsting, Hideo A. Baba, Stefan Kasper, Jens T. Siveke, Felix Nensa, Martin Schuler, Georgios Kaissis, Jens Kleesiek, Rickmer Braren ESMO Open Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods Zdravko Marinov, Moon-Sung Kim, Jens Kleesiek, Rainer Stiefelhagen Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures Yannick Kirchhoff, Maximilian R. Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus Maier-Hein Computer Vision – ECCV 2024 What is Diminished Virtuality? A Directional and Layer-Based Taxonomy for the Reality-Virtuality Continuum Jan Egger, Christina Gsaxner, Jens Kleesiek, Behrus Puladi JMIR XR and Spatial Computing

2023

Current State of Community-Driven Radiological AI Deployment in Medical Imaging (Preprint) Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Brad Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Bucher, Ming Melvin Qin, Gigon Bae, Hyeonhoon Lee, Jorge M Cardoso, Sebastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Cook, David Bericat, Matthew Lungren, Risto Haukioja, Haris Shuaib JMIR AI 1294 External validation of machine learning models to predict efficacy and toxicity of immune checkpoint inhibitors using real-world pan cancer cohorts Zoltan Kiss, Levente Lippenszky, Balazs Laczi, Pablo Napan-Molina, Eszter Csernai, Alexander Brehmer, Moon-Sung Kim, Julius Keyl, Jens T. Siveke, Moritz Meyer, Viktor Grünwald, Stefan Kasper, Alexander Roesch, Martin Schuler, Travis Osterman, Jan Wolber, Jens Kleesiek Journal for ImmunoTherapy of Cancer 3D surgical instrument collection for computer vision and extended reality Gijs Luijten, Christina Gsaxner, Jianning Li, Antonio Pepe, Narmada Ambigapathy, Moon-Sung Kim, Xiaojun Chen, Jens Kleesiek, Frank Hölzle, Behrus Puladi, Jan Egger Scientific Data 3D-COSI ~ 3D Collection of Surgical Instruments Gijs Luijten, Christina Gsaxner, Jianning Li, Antonio Pepe, Narmada Ambigapathy, Moon-Sung Kim, Xiaojun Chen, Jens Kleesiek, Frank Hölzle, Behrus Puladi, Jan Egger Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence Julius Keyl, Philipp Keyl, Grégoire Montavon, René Hosch, Alexander Brehmer, Liliana Mochmann, Philipp Jurmeister, Gabriel Dernbach, Moon-Sung Kim, Sven Koitka, Sebastian Bauer, Nikolaos Bechrakis, Michael Forsting, Dagmar Fuehrer-Sakel, Martin Glas, Viktor Gruenwald, Boris Hadaschik, Johannes Haubold, Ken Herrmann, Stefan Kasper, Rainer Kimmig, Tienush Rassaf, Alexander Roesch, Dirk Schadendorf, Jens T. Siveke, Martin Stuschke, Ulrich Sure, Matthias Totzeck, Anja Welt, Marcel Wiesweg, Hideo A. Baba, Felix Nensa, Jan Egger, Klaus-Robert Mueller, Martin Schuler, Frederick Klauschen, Jens Kleesiek medRxiv The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery: a narrative review Behrus Puladi, Christina Gsaxner, Jens Kleesiek, Frank Hölzle, Rainer Röhrig, Jan Egger International Journal of Oral and Maxillofacial Surgery Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger arXiv Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images Zdravko Marinov, Rainer Stiefelhagen, Jens Kleesiek Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Improvement in Disease Diagnosis in Computed Tomography Images by Correlating Organ Volumes with Disease Occurrences in Humans Timo van Meegdenburg, Jens Kleesiek, Jan Egger, Sören Perrey BioMedInformatics Medical Foundation Models are Susceptible to Targeted Misinformation Attacks Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Mueller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn arXiv Virtual Reality, Augmented Reality, Augmented Virtuality, or Mixed Reality in Cardiopulmonary Resuscitation: Which Extended Reality am I Using for Teaching Adult Basic Life Support? Nino Fijačko, Špela Metličar, Jens Kleesiek, Jan Egger, Todd P Chang Resuscitation Apple Vision Pro for Healthcare: \"The Ultimate Display\"? Jan Egger, Christina Gsaxner, Xiaojun Chen, Jiang Bian, Jens Kleesiek, Behrus Puladi arXiv Challenges for AI Regulation in Health and for Healthcare Organizations: Notes from the University of Florida's NSF-Sponsored Workshop on AI Governance Mattia Prosperi, Jiang Bian, Christopher Albert Harle, Mo Wang, Gwen Lee, Yixuan Li, Gregor Stiglic, Jens Kleesiek, Praditporn Pongtriang, Pierangelo Veltri ACM SIGBioinformatics Record Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning Fabian Hörst, Saskia Ting, Sven-Thorsten Liffers, Kelsey L. Pomykala, Katja Steiger, Markus Albertsmeier, Martin K. Angele, Sylvie Lorenzen, Michael Quante, Wilko Weichert, Jan Egger, Jens T. Siveke, Jens Kleesiek JCO Clinical Cancer Informatics Intraoperative Molecular Positron Emission Tomography Imaging for Intraoperative Assessment of Radical Prostatectomy Specimens Christopher Darr, Pedro Fragoso Costa, Theresa Kahl, Alexandros Moraitis, Jenna Engel, Mulham Al-Nader, Henning Reis, Jens Köllermann, Claudia Kesch, Ulrich Krafft, Tobias Maurer, Daniel Köhler, Susanne Klutmann, Fabian Falkenbach, Jens Kleesiek, Wolfgang P. Fendler, Boris Hadaschik, Ken Herrmann European Urology Open Science Kommentar zu KI – Sarkoidose oder Lymphom? Maschinelles Lernen performt gut Jens Kleesiek RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren Information extraction from weakly structured radiological reports with natural language queries Amin Dada, Tim Leon Ufer, Moon-Sung Kim, Max Hasin, Nicola Spieker, Michael Forsting, Felix Nensa, Jan Egger, Jens Kleesiek European Radiology Open-source skull reconstruction with MONAI Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger SoftwareX Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines Alexander Jaus, Constantin Seibold, Kelsey Hermann, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen arXiv Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon-Sung Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen arXiv CellViT: Vision Transformers for Precise Cell Segmentation and Classification Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens T. Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek arXiv Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management Alexander Brehmer, Christopher Sauer, Jayson Salazar, Kelsey Hermmann, Moon-Sung Kim, Julius Keyl, Fin Hendrik Bahnsen, Benedikt Frank, Martin Köhrmann, Tienush Rassaf, Amir-Abbas Mahabadi, Boris Hadaschik, Christopher Darr, Ken Herrmann, Susanne Tan, Jan Buer, Thorsten Brenner, Hans Christian Reinhardt, Felix Nensa, Michael Gertz, Jan Egger, Jens Kleesiek The autoPET challenge: Towards fully automated lesion segmentation in oncologic PET/CT imaging Sergios Gatidis, Marcel Früh, , Matthias Fabritius, Sijing Gu, Christian la Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazolli, Mehdi Astaraki, Bernhard Schölkopf, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge Jianning Li, David G. Ellis, Oldřich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Španěl, Michele R. Aizenberg, Jens Kleesiek, Jan Egger Medical Image Analysis Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek Computerized Medical Imaging and Graphics An AI-based segmentation and analysis pipeline for high-field MR monitoring of cerebral organoids Luca Deininger, Sabine Jung-Klawitter, Petra Richter, Manuel Fischer, Kianush Karimian-Jazi, Michael Breckwoldt, Martin Bendszus, Sabine Heiland, Jens Kleesiek, Ralf Mikut, Daniel Hübschmann, Daniel Schwarz bioRxiv An Opinion on ChatGPT in Health Care—Written by Humans Only Jens Kleesiek, Yonghui Wu, Gregor Stiglic, Jan Egger, Jiang Bian Journal of Nuclear Medicine ChatGPT in Healthcare: A Taxonomy and Systematic Review Jianning Li, Amin Dada, Jens Kleesiek, Jan Egger medRxiv Histology-based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning Fabian Hörst, Saskia Ting, Sven-Thorsten Liffers, Kelsey L. Pomykala, Katja Steiger, Markus Albertsmeier, Marting K. Angele, Sylvie Lorenzen, Michael Quante, Wilko Weichert, Jan Egger, Jens T. Siveke, Jens Kleesiek medRxiv Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging Zdravko Marinov, Simon Reiß, David Kersting, Jens Kleesiek, Rainer Stiefelhagen arXiv A web-based radiomics module for image feature extraction for tumor characterization Theresa Huebner, Aaron Berger, Daniel Wild, Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Gijs Luijten, Jens Kleesiek, Jan Egger Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and Applications Challenges in Implementing the Local Node Infrastructure for a National Federated Machine Learning Network in Radiology Paul-Philipp Jacobs, Constantin Ehrengut, Andreas Bucher, Tobias Penzkofer, Mathias Lukas, Jens Kleesiek, Timm Denecke Healthcare Contrast Agent Dose Reduction in MRI Utilizing a Generative Adversarial Network in an Exploratory Animal Study Johannes Haubold, Gregor Jost, Jens Matthias Theysohn, Johannes Maximilian Ludwig, Yan Li, Jens Kleesiek, Benedikt Michael Schaarschmidt, Michael Forsting, Felix Nensa, Hubertus Pietsch, René Hosch Investigative Radiology Das Netzwerk Universitätsmedizin: Technisch-organisatorische Ansätze für Forschungsdatenplattformen Ralf Heyder, Heyo K. Kroemer, Silke Wiedmann, Christina Pley, Carolin Heyer, Peter Heuschmann, Jörg Janne Vehreschild, Dagmar Krefting, Thomas Illig, Matthias Nauck, Jens Schaller, Monika Kraus, Wolfgang Hoffmann, Dana Stahl, Sabine Hanß, Gabriele Anton, Christian Schäfer, Jens-Peter Reese, Sina M. Hopff, Roberto Lorbeer, Bettina Lorenz-Depiereux, Hans-Ulrich Prokosch, Sven Zenker, Roland Eils, Andreas Bucher, Jens Kleesiek, Thomas J. Vogl, Bernd Hamm, Tobias Penzkofer, Wiebke Schirrmeister, Rainer Röhrig, Felix Walcher, Raphael Majeed, Bernadett Erdmann, Simone Scheithauer, Hajo Grundmann, Alexander Dilthey, Anna Bludau Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz Evaluation of thresholding methods for the quantifcation of 68Ga‑PSMA‑11 PET molecular tumor volume and their efect on survival prediction in patients with advanced prostate cancer undergoing 177Lu‑PSMA‑617 radioligand therapy Moon-Sung Kim, Robert Seifert, Jana Fragemann, David Kersting, Jacob M. Murray, Frederic Jonske, Kelsey L. Pomykala, Jan Egger, Wolfgang P. Fendler, Ken Herrmann, Jens Kleesiek European Journal of Nuclear Medicine and Molecular Imaging FAM: Relative Flatness Aware Minimization Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp Topological, Algebraic and Geometric Learning Workshops 2023 Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting Lukas Heine, Fabian Hörst, Enrico Nasca, Jens T. Siveke, Jan Egger, Moon-Sung Kim, Fin Hendrik Bahnsen, Jens Kleesiek Proceedings of the 57th Hawaii International Conference on System Sciences Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-institutional Patient-based Data Normalization Wen Li, Saikit Lam, Yinghui Wang, Chenyang Liu, Tian Li, Jens Kleesiek, Andy Lai-Yin Cheung, Ying Sun, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai IEEE Journal of Biomedical and Health Informatics Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon-Sung Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen ISBI 2023 Novel measures for the diagnosis of hepatic steatosis using contrast-enhanced computer tomography images Sebastian Prinz, Jacob M. Murray, Christian Strack, Johanna Nattenmüller, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Stephanie Badde, Jens Kleesiek European Journal of Radiology On the Impact of Cross-Domain Data on German Language Models Amin Dada, Aokun Chen, Cheng Peng, Kaleb Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomics Markus Wennmann, Wenlong Ming, Fabian Bauer, Jiri Chmelik, André Klein, Charlotte Uhlenbrock, Martin Grözinger, Kim-Celine Kahl, Tobias Nonnenmacher, Manuel Debic, Thomas Hielscher, Heidi Thierjung, Lukas Thomas Rotkopf, Nikolas Stanczyk, Sandra Sauer, Anna Jauch, Michael Götz, Felix T Kurz, Kai Schlamp, Marius Horger, Saif Afat, Britta Besemer, Martin Hoffmann, Johannes Hoffend, Doris Kraemer, Ullrich Graeven, Adrian Ringelstein, David Bonekamp, Jens Kleesiek, Ralf Floca, Jens Hillengass, Elias K Mai, Niels Weinhold, Tim F. Weber, Hartmut Goldschmidt, Heinz-Peter Schlemmer, Klaus Maier-Hein, Stefan Delorme, Peter Neher Investigative Radiology The HoloLens in medicine: A systematic review and taxonomy Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger Medical Image Analysis

2022

Current State of Community-Driven Radiological AI Deployment in Medical Imaging Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sebastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Cook, David Bericat, Matthew Lungren, Risto Haukioja, Haris Shuaib arXiv Deep learning-based assessment of body composition and liver tumor burden for survival modeling in advanced colorectal cancer Julius Keyl, René Hosch, Aaron Berger, Oliver Ester, Tobias Greiner, Simon Bogner, Jürgen Treckmann, Saskia Ting, Brigitte Schuchmacher, David Albers, Peter Markus, Marcel Wiesweg, Michael Forsting, Felix Nensa, Martin Schuler, Stefan Kasper, Jens Kleesiek Journal of Cachexia, Sarcopenia and Muscle Open-Source Skull Reconstruction with MONAI Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger arXiv 'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek arXiv Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding Constantin Seibold, Simon Reiß, Saquib Sarfraz, Matthias A. Fink, Victoria L. Mayer, Jan Sellner, Moon-Sung Kim, Klaus Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen 33rd British Machine Vision Conference Model Generalizability Investigation for GFCE-MRI Synthesis in Radiotherapy of NPC patients Using Multi-institutional Data and Patient-based Data Normalization Wen Li, Saikit Lam, Tian Li, Jens Kleesiek, Andy Lai-Yin Cheung, Ying Sun, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai Multimodal survival prediction in advanced pancreatic cancer using machine learning Julius Keyl, Stefan Kasper, Marcel Wiesweg, J. Götze, M. Schönrock, M. Sinn, Aaron Berger, Enrico Nasca, K. Kostbade, B. Schumacher, Peter Markus, David Albers, Jürgen Treckmann, K. W. Schmid, H. -U. Schildhaus, Jens T. Siveke, Martin Schuler, Jens Kleesiek ESMO Open Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek arXiv AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier Lars Heiliger, Zdravko Marinov, André Ferreira, Jana Fragemann, Jacob M. Murray, David Kersting, Rainer Stiefelhagen, Jens Kleesiek arXiv Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity René Hosch, Simone Kattner, Marc Moritz Berger, Thorsten Brenner, Johannes Haubold, Jens Kleesiek, Sven Koitka, Lennard Kroll, Anisa Kureishi, Nils Flaschel, Felix Nensa Scientific Reports The HoloLens in Medicine: A systematic Review and Taxonomy Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger arXiv Training beta-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger arXiv CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients Lennard Kroll, Annie Mathew, Giulia Baldini, René Hosch, Sven Koitka, Jens Kleesiek, Christoph Rischpler, Johannes Haubold, Dagmar Führer, Felix Nensa, Harald Lahner Scientific Reports Low bone mineral density is a prognostic factor for elderly patients with HCC undergoing TACE: results from a multicenter study Lukas Müller, Aline Mähringer-Kunz, Timo Alexander Auer, Uli Fehrenbach, Bernhard Gebauer, Johannes Haubold, Jens Matthias Theysohn, Moon-Sung Kim, Jens Kleesiek, Thierno D. Diallo, Michel Eisenblätter, Dominik Bettinger, Verena Steinle, Philipp Mayer, David Zopfs, Daniel Pinto dos Santos, Roman Kloeckner European Radiology Artificial intelligence guided enhancement of digital PET: scans as fast as CT? René Hosch, Manuel Weber, Miriam Sraieb, Nils Flaschel, Johannes Haubold, Moon-Sung Kim, Lale Umutlu, Jens Kleesiek, Ken Herrmann, Felix Nensa, Christoph Rischpler, Sven Koitka, Robert Seifert, David Kersting European Journal of Nuclear Medicine and Molecular Imaging Deep Learning–based Assessment of Oncologic Outcomes from Natural Language Processing of Structured Radiology Reports Matthias A. Fink, Klaus Kades, Arved Bischoff, Martin Moll, Merle Schnell, Maike Küchler, Gregor Köhler, Jan Sellner, Claus Peter Heußel, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Klaus Maier-Hein, Tim F. Weber, Jens Kleesiek Radiology: Artificial Intelligence Deep Learning–driven classification of external DICOM studies for PACS archiving Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Julius Keyl, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek European Radiology GAN-based generation of realistic 3D data: A systematic review and taxonomy André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger arXiv Metrics reloaded: Pitfalls and recommendations for image analysis validation Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu D. Tizabi, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Goetz Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Björn Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force Oliver Lukas Sedlaczek, Jens Kleesiek, Ferdia A. Gallagher, Jacob M. Murray, Sebastian Prinz, Raquel Perez-Lopez, Evia Sala, Caroline Caramella, Sebastian Diffetock, Nathalie Lassau, Andrew N. Priest, Chikako Suzuki, Roberto Vargas, Tommaso Giandini, Marta Vaiani, Antonella Messina, Lennart K. Blomqvist, Regina G. H. Beets-Tan, Petra Oberrauch, Heinz-Peter Schlemmer, Michael Bach, for the CCE – Imaging Task Force European Radiology k-strip: A novel segmentation algorithm in k-space for the application of skull stripping Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek Medical Deep Learning – A systematic Meta-Review Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek Computer Methods and Programs in Biomedicine Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism Matthias A. Fink, Constantin Seibold, Hans-Ulrich Kauczor, Rainer Stiefelhagen, Jens Kleesiek Diagnostics Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent Recalibration Kevin Sun Zhang, Patrick Schelb, Nils Netzer, Anoshirwan Andrej Tavakoli, Myriam Keymling, Eckhard Wehrse, Robert Hog, Lukas Thomas Rotkopf, Markus Wennmann, Philip Alexander Glemser, Heidi Thierjung, Nikolaus von Knebel Doeberitz, Jens Kleesiek, Magdalena Görtz, Viktoria Schütz, Thomas Hielscher, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Klaus Maier-Hein, David Bonekamp Investigative Radiology Review of Disentanglement Approaches for Medical Applications: Towards Solving the Gordian Knot of Generative Models in Healthcare Jana Fragemann, Lynton Ardizzone, Jan Egger, Jens Kleesiek, Mad Workshop Sparse Convolutional Neural Networks for Medical Image Analysis Jianning Li, Christina Gsaxner, Antonio Pepe, Dieter Schmalstieg, Jens Kleesiek, Jan Egger Virtual Biopsy: Just an AI Software or a Medical Procedure? Jacob M. Murray, Bodo Wiegand, Boris Hadaschik, Ken Herrmann, Jens Kleesiek Journal of Nuclear Medicine AIMHI: Protecting Sensitive Data through Federated Co-Training Amr Abourayya, Michael Kamp, Erman Ayday, Jens Kleesiek, Kanishka Rao, Geoffrey I. Webb, Bharat Rao Workshop on Federated Learning: Recent Advances and New Challenges (in Conjunction with NeurIPS 2022) Beyond Medical Imaging-A Review of Multimodal Deep Learning in Radiology Lars Heiliger, Anjany Sekuboyina, Björn Menze, Jan Egger, Jens Kleesiek TechRxiv Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 CODEX Meets RACOON – A Concept for Collaborative Documentation of Clinical and Radiological COVID-19 Data Marvin Schmidt, Sebastian Gebauer, Annette Bartholmes, Dennis Kadioglu, Jens Kleesiek, Bernd Hamm, Thomas J. Vogl, Tobias Penzkofer, Andreas Bucher, Holger Storf German Medical Data Sciences 2022 – Future Medicine: More Precise, More Integrative, More Sustainable! Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study Markus Wennmann, André Klein, Fabian Bauer, Jiri Chmelik, Martin Grözinger, Charlotte Uhlenbrock, Jakob Lochner, Tobias Nonnenmacher, Lukas Thomas Rotkopf, Sandra Sauer, Thomas Hielscher, Michael Götz, Ralf Floca, Peter Neher, David Bonekamp, Jens Hillengass, Jens Kleesiek, Niels Weinhold, Tim F. Weber, Hartmut Goldschmidt, Stefan Delorme, Klaus Maier-Hein, Heinz-Peter Schlemmer Investigative radiology Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal Study Johannes Haubold, Gregor Jost, Jens Matthias Theysohn, Johannes Maximilian Ludwig, Yan Li, Jens Kleesiek, Benedikt Michael Schaarschmidt, Michael Forsting, Felix Nensa, Hubertus Pietsch, René Hosch Investigative Radiology DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform Maximilian Fischer, Philipp Schader, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Wilko Weichert, Peter Schüffler, Jens Kleesiek, Jonas Scherer, Klaus Kades, Klaus Maier-Hein, Marco Nolden Bildverarbeitung für die Medizin 2022 Fine-tuning BERT Models for Summarizing German Radiology Findings Siting Liang, Klaus Kades, Matthias A. Fink, Peter M. Full, Tim F. Weber, Jens Kleesiek, Michael Strube, Klaus Maier-Hein The 4th NAACL Clinical Natural Language Processing Workshop In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders Markus Wennmann, Fabian Bauer, André Klein, Jiri Chmelik, Martin Grözinger, Lukas Thomas Rotkopf, Peter Neher, Regula Gnirs, Felix T Kurz, Tobias Nonnenmacher, Sandra Sauer, Niels Weinhold, Hartmut Goldschmidt, Jens Kleesiek, David Bonekamp, Tim F. Weber, Stefan Delorme, Klaus Maier-Hein, Heinz-Peter Schlemmer, Michael Götz Investigative Radiology Introduction to Machine Learning: Definitions and Hybrid Imaging Applications Jens Kleesiek Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging Radiomics in Head and Neck Cancer Outcome Predictions Maria Gonçalves, Christina Gsaxner, André Ferreira, Jianning Li, Behrus Puladi, Jens Kleesiek, Jan Egger, Victor Alves Diagnostics Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs Chinmay Prabhakar, Anjany Sekuboyina, Hongwei Bran Li, Johannes C Paetzold, Suprosanna Shit, Tamaz Amiranashvili, Jens Kleesiek, Björn Menze Proceedings of Machine Learning Research

2021

Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen arXiv:2112.00735 [cs, eess] Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Image. Jacob M. Murray, Phillip Pfeffer, Robert Seifert, Alexander Hermann, Jessica Handke, Laura Kummer, Henrike Janssen, Markus A. Weigand, Heinz-Peter Schlemmer, Jan Larmann, Jens Kleesiek Arteriosclerosis, Thrombosis, and Vascular Biology CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary Embolism Matthias A. Fink, Victoria L. Mayer, Thomas Schneider, Constantin Seibold, Rainer Stiefelhagen, Jens Kleesiek, Tim F. Weber, Hans-Ulrich Kauczor Radiology Discovering Digital Tumor Signatures—Using Latent Code Representations to Manipulate and Classify Liver Lesions Jens Kleesiek, Benedikt Kersjes, Kai Ueltzhöffer, Jacob M. Murray, Carsten Rother, Ullrich Köthe, Heinz-Peter Schlemmer Cancers The Federated Tumor Segmentation (FeTS) Challenge Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel Marcus, Mikhail Milchenko, Arash Nazer, Hassan Fathallah-Shaykh, Roland Wiest Andras Jakab, Marc-Andre Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Björn Menze, Klaus Maier-Hein, Spyridon Bakas arXiv:2105.05874 [cs, eess] A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data Gabriel Alexander Salg, Maria-Katharina Ganten, Andreas Bucher, Hannes Goetz Kenngott, Matthias A. Fink, Constantin Seibold, Ricarda Elisabeth Fischbach, Kai Schlamp, Carlos Alberto Velandia, Philipp Fervers, Felix Doellinger, Anna Luger, Saif Afat, Uta Merle, Markus K. Diener, Philippe L. Pereira, Tobias Penzkofer, Thorsten Persigehl, Ahmed Othman, Claus Peter Heußel, Matthias Baumhauer, Gerlig Widmann, Konstantinos Stathopoulos, Bernd Hamm, Thomas J. Vogl, Konstantin Nikolaou, Hans-Ulrich Kauczor, Jens Kleesiek npj Digital Medicine Common Limitations of Image Processing Metrics: A Picture Story Annika Reinke, Matthias Eisenmann, Minu D. Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin Kurc, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus Maier-Hein, Björn Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul F. Jäger, Lena Maier-Hein arXiv:2104.05642 [cs, eess] A Relational-learning Perspective to Multi-label Chest X-ray Classification Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone ISBI 2021 Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study Klaus Kades, Jan Sellner, Gregor Koehler, Peter M. Full, T. Y. Emmy Lai, Jens Kleesiek, Klaus Maier-Hein JMIR medical informatics Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek ISBI 2021 Ai-based aortic vessel tree segmentation for cardiovascular diseases treatment: status quo Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger Künstliche Intelligenz in der onkologischen Radiologie: Ein (P)review Andreas Bucher, Jens Kleesiek Der Radiologe

2020

Joint Imaging Platform for Federated Clinical Data Analytics Jonas Scherer, Marco Nolden, Jens Kleesiek, Jasmin Metzger, Klaus Kades, Verena Schneider, Michael Bach, Oliver Lukas Sedlaczek, Andreas Bucher, Thomas J. Vogl, Frank Grünwald, Jens-Peter Kühn, Ralf-Thorsten Hoffmann, Jörg Kotzerke, Oliver Bethge, Lars Schimmöller, Gerald Antoch, Hans-Wilhelm Müller, Andreas Daul, Konstantin Nikolaou, Christian la Fougère, Wolfgang G. Kunz, Michael Ingrisch, Balthasar Schachtner, Jens Ricke, Peter Bartenstein, Felix Nensa, Alexander Radbruch, Lale Umutlu, Michael Forsting, Robert Seifert, Ken Herrmann, Philipp Mayer, Hans-Ulrich Kauczor, Tobias Penzkofer, Bernd Hamm, Winfried Brenner, Roman Kloeckner, Christoph Düber, Mathias Schreckenberger, Rickmer Braren, Georgios Kaissis, Marcus R. Makowski, Matthias Eiber, Andrei Gafita, Rupert Trager, Wolfgang A. Weber, Jakob Neubauer, Marco Reisert, Michael Bock, Fabian Bamberg, Jürgen Hennig, Philipp Tobias Meyer, Juri Ruf, Uwe Haberkorn, Stefan O. Schoenberg, Tristan Kuder, Peter Neher, Ralf Floca, Heinz-Peter Schlemmer, Klaus Maier-Hein JCO Clinical Cancer Informatics Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic DiseaseClassification and Localizationin Chest Radiographs Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen Proceedings of the Asian Conference on Computer Vision (ACCV) PSMA PET total tumor volume predicts outcome of patients with advanced prostate cancer receiving [177Lu]Lu-PSMA-617 radioligand therapy in a bicentric analysis Robert Seifert, Katharina Kessel, Katrin Schlack, Manuel Weber, Ken Herrmann, Maximilian Spanke, Wolfgang P. Fendler, Boris Hadaschik, Jens Kleesiek, Michael Schäfers, Matthias Weckesser, Martin Boegemann, Kambiz Rahbar European Journal of Nuclear Medicine and Molecular Imaging Semi-automatically quantified tumor volume using Ga-68-PSMA-11-PET as biomarker for survival in patients with advanced prostate cancer Robert Seifert, Ken Herrmann, Jens Kleesiek, Michael Schäfers, Vijay Shah, Zhoubing Xu, Guillaume Chabin, Sasa Garbic, Bruce Spottiswoode, Kambiz Rahbar Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine Künstliche Intelligenz in der Hybridbildgebung Christian Strack, Robert Seifert, Jens Kleesiek Der Radiologe Analysis of PSMA expression and outcome in patients with advanced Prostate Cancer receiving $^textrm177$ Lu-PSMA-617 Radioligand Therapy Robert Seifert, Konstantin Seitzer, Ken Herrmann, Katharina Kessel, Michael Schäfers, Jens Kleesiek, Matthias Weckesser, Martin Boegemann, Kambiz Rahbar Theranostics Wie funktioniert maschinelles Lernen? Jens Kleesiek, Jacob M. Murray, Christian Strack, Georgios Kaissis, Rickmer Braren Der Radiologe Wie funktioniert Radiomics? Jacob M. Murray, Georgios Kaissis, Rickmer Braren, Jens Kleesiek Der Radiologe

2019

Künstliche Intelligenz und maschinelles Lernen in der onkologischen Bildgebung Jens Kleesiek, Jacob M. Murray, Georgios Kaissis, Rickmer Braren Der Onkologe Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study Jens Kleesiek, Jan Nikolas Morshuis, Fabian Isensee, Katerina Deike-Hofmann, Daniel Paech, Philipp Kickingereder, Ullrich Köthe, Carsten Rother, Michael Forsting, Wolfgang Wick, Martin Bendszus, Heinz-Peter Schlemmer, Alexander Radbruch Investigative Radiology