Heinz-Peter Schlemmer

Heinz-Peter Schlemmer

Head Division of Radiology

German Cancer Research Center (DKFZ)

Publications

2026

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

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 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

2022

'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 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 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 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 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 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

2021

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 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 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

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)

2019

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