Moon-Sung Kim

Moon-Sung Kim

Team Lead Computational Nuclear Medicine · Deputy Director
Institute for AI in Medicine, Germany

Moon studied medicine at the University of Duisburg-Essen, where he developed an early interest in applying computational methods to medical workflows. He went on to train in radiology at Essen University Hospital, where his research on using computer vision techniques in medical imaging diagnostics led him to earn his doctorate with magna cum laude.

Since 2020, he has worked as Team Lead for Medical Informatics at the Institute for Artificial Intelligence in Medicine (IKIM). In this role, he is responsible for the design and implementation of an AI infrastructure tailored to the specific requirements of clinical practice. His work focuses on enabling the systematic development, validation, and deployment of AI algorithms, thereby directing their translation from basic research into robust, clinically validated workflows at scale. Through these efforts, he has contributed to establishing the KITE (AI-Translation Essen) infrastructure initiative in which novel AI methods can be integrated at scale into real-world healthcare settings.

Publications

2026

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 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 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 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

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 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 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 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 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

2024

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 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 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 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 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 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 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 Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods Zdravko Marinov, Moon-Sung Kim, Jens Kleesiek, Rainer Stiefelhagen ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics Oishi Banerjee, Agustina Saenz, Kay Wu, Warren Clements, Adil Zia, Dominic Buensalido, Helen Kavnoudias, Alain S Abi-Ghanem, Nour El Ghawi, Cibele Luna, Patricia Castillo, Khaled Al-Surimi, Rayyan A. Daghistani, Yuh-Min Chen, Heng-sheng Chao, Lars Heiliger, Moon-Sung Kim, Johannes Haubold, Frederic Jonske, Pranav Rajpurkar arXiv preprint arXiv:2408.16208

2023

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 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 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 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 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 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 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

2022

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 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 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–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