Publications

Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology. Computerized Medical Imaging and Graphics. 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 (2023).

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An Opinion on ChatGPT in Health Care—Written by Humans Only. Journal of Nuclear Medicine. Jens Kleesiek, Yonghui Wu, Gregor Stiglic, Jan Egger, Jiang Bian (2023).

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An AI-based segmentation and analysis pipeline for high-field MR monitoring of cerebral organoids. bioRxiv. 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 (2023).

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Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging. arXiv. Zdravko Marinov, Simon Reiß, David Kersting, Jens Kleesiek, Rainer Stiefelhagen (2023).

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Histology-based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning. medRxiv. 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 (2023).

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Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images. arXiv. Zdravko Marinov, Rainer Stiefelhagen, Jens Kleesiek (2023).

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ChatGPT in Healthcare: A Taxonomy and Systematic Review. medRxiv. Jianning Li, Amin Dada, Jens Kleesiek, Jan Egger (2023).

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The HoloLens in medicine: A systematic review and taxonomy. Medical Image Analysis. Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger (2023).

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Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomics. Investigative Radiology. 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 T 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 O Floca, Jens Hillengass, Elias K Mai, Niels Weinhold, Tim F Weber, Hartmut Goldschmidt, Heinz-Peter Schlemmer, Klaus Maier-Hein, Stefan Delorme, Peter Neher (2023).

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Novel measures for the diagnosis of hepatic steatosis using contrast-enhanced computer tomography images. European Journal of Radiology. Sebastian Prinz, Jacob M. Murray, Christian Strack, Johanna Nattenmüller, Kelsey L Pomykala, Heinz-Peter Schlemmer, Stephanie Badde, Jens Kleesiek (2023).

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Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues. ISBI 2023. Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen (2023).

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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. European Journal of Nuclear Medicine and Molecular Imaging. Moon Kim, Robert Seifert, Jana Fragemann, David Kersting, Jacob Murray, Frederic Jonske, Kelsey L. Pomykala, Jan Egger, Wolfgang P. Fendler, Ken Herrmann, Jens Kleesiek (2023).

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Das Netzwerk Universitätsmedizin: Technisch-organisatorische Ansätze für Forschungsdatenplattformen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 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 Vogl, Bernd Hamm, Tobias Penzkofer, Wiebke Schirrmeister, Rainer Röhrig, Felix Walcher, Raphael Majeed, Bernadett Erdmann, Simone Scheithauer, Hajo Grundmann, Alexander Dilthey, Anna Bludau (2023).

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Contrast Agent Dose Reduction in MRI Utilizing a Generative Adversarial Network in an Exploratory Animal Study. Investigative Radiology. 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 (2023).

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A web-based radiomics module for image feature extraction for tumor characterization. Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and Applications. Theresa Huebner, Aaron Berger, Daniel Wild, Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Gijs Luijten, Jens Kleesiek, Jan Egger (2023).

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Current State of Community-Driven Radiological AI Deployment in Medical Imaging. arXiv. 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 Michael 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 (2022).

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Deep learning-based assessment of body composition and liver tumor burden for survival modeling in advanced colorectal cancer. Journal of Cachexia, Sarcopenia and Muscle. 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 (2022).

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Open-Source Skull Reconstruction with MONAI. arXiv. Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger (2022).

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Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology. arXiv. 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 (2022).

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Multimodal survival prediction in advanced pancreatic cancer using machine learning. ESMO Open. J. Keyl, S. Kasper, M. Wiesweg, J. Götze, M. Schönrock, M. Sinn, A. Berger, E. Nasca, K. Kostbade, B. Schumacher, P. Markus, D. Albers, J. Treckmann, K. W. Schmid, H. -U. Schildhaus, J. T. Siveke, M. Schuler, J. Kleesiek (2022).

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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 (2022).

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Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. 33rd British Machine Vision Conference. Constantin Seibold, Simon Reiß, Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen (2022).

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'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient. arXiv. Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek (2022).

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Training beta-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. arXiv. Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger (2022).

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The HoloLens in Medicine: A systematic Review and Taxonomy. arXiv. Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger (2022).

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Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity. Scientific Reports. René Hosch, Simone Kattner, Marc Moritz Berger, Thorsten Brenner, Johannes Haubold, Jens Kleesiek, Sven Koitka, Lennard Kroll, Anisa Kureishi, Nils Flaschel, Felix Nensa (2022).

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AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier. arXiv. Lars Heiliger, Zdravko Marinov, André Ferreira, Jana Fragemann, Jacob Murray, David Kersting, Rainer Stiefelhagen, Jens Kleesiek (2022).

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Low bone mineral density is a prognostic factor for elderly patients with HCC undergoing TACE: results from a multicenter study. European Radiology. Lukas Müller, Aline Mähringer-Kunz, Timo Alexander Auer, Uli Fehrenbach, Bernhard Gebauer, Johannes Haubold, Jens M. Theysohn, Moon Kim, Jens Kleesiek, Thierno D. Diallo, Michel Eisenblätter, Dominik Bettinger, Verena Steinle, Philipp Mayer, David Zopfs, Daniel Pinto dos Santos, Roman Kloeckner (2022).

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CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients. Scientific Reports. Lennard Kroll, Annie Mathew, Giulia Baldini, René Hosch, Sven Koitka, Jens Kleesiek, Christoph Rischpler, Johannes Haubold, Dagmar Fuhrer, Felix Nensa, Harald Lahner (2022).

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GAN-based generation of realistic 3D data: A systematic review and taxonomy. arXiv. André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger (2022).

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Deep Learning–driven classification of external DICOM studies for PACS archiving. European Radiology. Frederic Jonske, Maximilian Dederichs, Moon Kim, Julius Keyl, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek (2022).

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Deep Learning–based Assessment of Oncologic Outcomes from Natural Language Processing of Structured Radiology Reports. Radiology: Artificial Intelligence. 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 (2022).

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Artificial intelligence guided enhancement of digital PET: scans as fast as CT?. European Journal of Nuclear Medicine and Molecular Imaging. René Hosch, Manuel Weber, Miriam Sraieb, Nils Flaschel, Johannes Haubold, Moon Kim, Lale Umutlu, Jens Kleesiek, Ken Herrmann, Felix Nensa, Christoph Rischpler, Sven Koitka, Robert Seifert, David Kersting (2022).

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Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force. European Radiology. Oliver Lukas Sedlaczek, Jens Kleesiek, Ferdia A. Gallagher, Jacob 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 (2022).

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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 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 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 (2022).

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Medical Deep Learning – A systematic Meta-Review. Computer Methods and Programs in Biomedicine. Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek (2022).

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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 (2022).

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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. Investigative Radiology. 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 (2022).

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Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism. Diagnostics. Matthias A Fink, Constantin Seibold, Hans-Ulrich Kauczor, Rainer Stiefelhagen, Jens Kleesiek (2022).

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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 (2022).

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Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate. Sascha Ranftl, Malte Rolf-Pissarczyk, Gloria Wolkerstorfer, Antonio Pepe, Jan Egger, Wolfgang von der Linden, Gerhard A. Holzapfel (2022).

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Virtual Biopsy: Just an AI Software or a Medical Procedure?. Journal of Nuclear Medicine. Jacob M. Murray, Bodo Wiegand, Boris Hadaschik, Ken Herrmann, Jens Kleesiek (2022).

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Sparse Convolutional Neural Networks for Medical Image Analysis. Jianning Li, Christina Gsaxner, Antonio Pepe, Dieter Schmalstieg, Jens Kleesiek, Jan Egger (2022).

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Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform. Jan Egger, Daniel Wild, Maximilian Weber, Christopher A. Ramirez Bedoya, Florian Karner, Alexander Prutsch, Michael Schmied, Christina Dionysio, Dominik Krobath, Yuan Jin (2022).

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Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs. Proceedings of Machine Learning Research. Chinmay Prabhakar, Anjany Sekuboyina, Hongwei Bran Li, Johannes C Paetzold, Suprosanna Shit, Tamaz Amiranashvili, Jens Kleesiek, Björn Menze (2022).

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Radiomics in Head and Neck Cancer Outcome Predictions. Diagnostics. Maria Gonçalves, Christina Gsaxner, André Ferreira, Jianning Li, Behrus Puladi, Jens Kleesiek, Jan Egger, Victor Alves (2022).

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Introduction to Machine Learning: Definitions and Hybrid Imaging Applications. Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging. Jens Kleesiek (2022).

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In Vivo Repeatability and Multiscanner Reproducibility of MRI Radiomics Features in Patients With Monoclonal Plasma Cell Disorders. Investigative Radiology. Markus Wennmann, Fabian Bauer, André Klein, Jiri Chmelik, Martin Grözinger, Lukas T 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 (2022).

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Generation of Synthetic Rat Brain MRI Scans with a 3D Enhanced Alpha Generative Adversarial Network. Applied Sciences. André Ferreira, Ricardo Magalhães, Sébastien Mériaux, Victor Alves (2022).

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Generation of Synthetic Data: A Generative Adversarial Networks Approach. Big Data Analytics and Artificial Intelligence in the Healthcare Industry. André Ferreira, Ricardo Magalhães, Victor Alves (2022).

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Fine-tuning BERT Models for Summarizing German Radiology Findings. The 4th NAACL Clinical Natural Language Processing Workshop. Siting Liang, Klaus Kades, Matthias A Fink, Peter M Full, Tim F Weber, Jens Kleesiek, Michael Strube, Klaus Maier-Hein (2022).

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DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform. Bildverarbeitung für die Medizin 2022. 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 (2022).

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Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal Study. Investigative Radiology. 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 (2022).

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Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study. Investigative radiology. 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 Frederik Weber, Hartmut Goldschmidt, Stefan Delorme, Klaus Maier-Hein, Heinz-Peter Schlemmer (2022).

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CODEX Meets RACOON – A Concept for Collaborative Documentation of Clinical and Radiological COVID-19 Data. German Medical Data Sciences 2022 – Future Medicine: More Precise, More Integrative, More Sustainable!. Marvin Schmidt, Sebastian Gebauer, Annette Bartholmes, Dennis Kadioglu, Jens Kleesiek, Bernd Hamm, Thomas J. Vogl, Tobias Penzkofer, Andreas Michael Bucher, Holger Storf (2022).

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Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek (2022).

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Beyond Medical Imaging-A Review of Multimodal Deep Learning in Radiology. TechRxiv. Lars Heiliger, Anjany Sekuboyina, Björn Menze, Jan Egger, Jens Kleesiek (2022).

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AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks. Lukas Radl, Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jan Egger (2022).

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AIMHI: Protecting Sensitive Data through Federated Co-Training. Workshop on Federated Learning: Recent Advances and New Challenges (in Conjunction with NeurIPS 2022). Amr Abourayya, Michael Kamp, Erman Ayday, Jens Kleesiek, Kanishka Rao, Geoffrey I. Webb, Bharat Rao (2022).

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Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation. arXiv:2112.00735 [cs, eess]. Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen (2021).

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Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Image.. Arteriosclerosis, Thrombosis, and Vascular Biology. 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 (2021).

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CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary Embolism. Radiology. Matthias A. Fink, Victoria L. Mayer, Thomas Schneider, Constantin Seibold, Rainer Stiefelhagen, Jens Kleesiek, Tim F. Weber, Hans-Ulrich Kauczor (2021).

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Discovering Digital Tumor Signatures—Using Latent Code Representations to Manipulate and Classify Liver Lesions. Cancers. Jens Kleesiek, Benedikt Kersjes, Kai Ueltzhöffer, Jacob M. Murray, Carsten Rother, Ullrich Köthe, Heinz-Peter Schlemmer (2021).

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Computer-Aided Oral and Maxillofacial Surgery: Developments, Applications, and Future Perspectives. Academic Press. Jan Egger, Xiaojun Chen (2021).

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The Federated Tumor Segmentation (FeTS) Challenge. arXiv:2105.05874 [cs, eess]. 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 (2021).

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Common Limitations of Image Processing Metrics: A Picture Story. arXiv:2104.05642 [cs, eess]. 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 Jäger, Lena Maier-Hein (2021).

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A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. npj Digital Medicine. Gabriel Alexander Salg, Maria-Katharina Ganten, Andreas Michael Bucher, Hannes Goetz Kenngott, Matthias Alexander 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 (2021).

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A Relational-learning Perspective to Multi-label Chest X-ray Classification. ISBI 2021. Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone (2021).

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A web client-based online DICOM browser and NRRD converter for Studierfenster. Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications. Christopher A. Ramirez Bedoya, Daniel Wild, Antonio Pepe, Christina Gsaxner, Jianning Li, Jan Egger (2021).

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Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism. ISBI 2021. Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek (2021).

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Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study. JMIR medical informatics. Klaus Kades, Jan Sellner, Gregor Koehler, Peter M. Full, T. Y. Emmy Lai, Jens Kleesiek, Klaus H. Maier-Hein (2021).

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TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning. arXiv preprint arXiv:2110.09974. Meirui Jiang, Xiaofei Zhang, Michael Kamp, Xiaoxiao Li, Qi Dou (2021).

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Towards the Automatization of Cranial Implant Design in Cranioplasty II. Springer International Publishing. Jianning Li, Jan Egger (2021).

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Synthetic skull bone defects for automatic patient-specific craniofacial implant design. Jianning Li, Christina Gsaxner, Antonio Pepe, Ana Morais, Victor Alves, Gord von Campe, Jürgen Wallner, Jan Egger (2021).

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Sparse Convolutional Neural Network for Skull Reconstruction. Cranial Implant Design Challenge. Artem Kroviakov, Jianning Li, Jan Egger (2021).

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SkullBreak/SkullFix–Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks. Oldřich Kodym, Jianning Li, Antonio Pepe, Christina Gsaxner, Sasank Chilamkurthy, Jan Egger, Michal Španěl (2021).

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Relative Flatness and Generalization. Advances in Neural Information Processing Systems. Henning Petzka, Michael Kamp, Linara Adilova, Cristian Sminchisescu, Mario Boley (2021).

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Radiomics in head and neck cancer. Computer-Aided Oral and Maxillofacial Surgery. Maria Gonçalves, Christina Gsaxner, Jan Egger, Victor Alves (2021).

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PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis. Cranial Implant Design Challenge. Lei Yu, Jianning Li, Jan Egger (2021).

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Novelty Detection in Sequential Data by Informed Clustering and Modeling. arXiv preprint arXiv:2103.03943. Linara Adilova, Siming Chen, Michael Kamp (2021).

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MUG500+: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implants. Jianning Li, Marcell Krall, Florian Trummer, Afaque Rafique Memon, Antonio Pepe, Christina Gsaxner, Yuan Jin, Xiaojun Chen, Hannes Deutschmann, Ulrike Zefferer (2021).

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MOMO--Deep Learning-driven classification of external DICOM studies for PACS archivation. arXiv preprint arXiv:2112.00661. Frederic Jonske, Maximilian Dederichs, Moon Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek (2021).

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Medical image segmentation in oral-maxillofacial surgery. Jianning Li, Marius Erdt, Firdaus Janoos, Ti-chiun Chang, Jan Egger (2021).

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Learning to rearrange voxels in binary segmentation masks for smooth manifold triangulation. Cranial Implant Design Challenge. Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger (2021).

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Künstliche Intelligenz in der onkologischen Radiologie: Ein (P)review. Der Radiologe. Andreas M. Bucher, Jens Kleesiek (2021).

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Inside-out instrument tracking for surgical navigation in augmented reality. Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology. Christina Gsaxner, Jianning Li, Antonio Pepe, Dieter Schmalstieg, Jan Egger (2021).

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Holographic augmented reality for DIEP flap harvest. Plastic and reconstructive surgery. Tycho S Wesselius, Jene W Meulstee, Gijs Luijten, Tong Xi, Thomas JJ Maal, Dietmar JO Ulrich (2021).

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Federated Learning from Small Datasets. arXiv preprint arXiv:2110.03469. Michael Kamp, Jonas Fischer, Jilles Vreeken (2021).

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FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. International Conference on Learning Representations. Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou (2021).

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Effects of Pre-Operative Risk Factors on Intensive Care Unit Length of Stay (ICU-LOS) in Major Oral and Maxillofacial Cancer Surgery. Juergen Wallner, Michael Schwaiger, Sarah-Jayne Edmondson, Irene Mischak, Jan Egger, Matthias Feichtinger, Wolfgang Zemann, Mauro Pau (2021).

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Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern (2021).

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Deep learning and particle filter-based aortic dissection vessel tree segmentation. Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging. Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Jan Egger (2021).

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Deep learning and generative adversarial networks in oral and maxillofacial surgery. Antonio Pepe, Gianpaolo Francesco Trotta, Christina Gsaxner, A. Brunetti, Giacomo Donato Cascarano, Vitoantonio Bevilacqua, D. Shen, J. Egger (2021).

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Automatic skull defect restoration and cranial implant generation for cranioplasty. Jianning Li, Gord von Campe, Antonio Pepe, Christina Gsaxner, Enpeng Wang, Xiaojun Chen, Ulrike Zefferer, Martin Tödtling, Marcell Krall, Hannes Deutschmann (2021).

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Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations. Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Gabriel Mistelbauer, Dieter Schmalstieg, Dominik Fleischmann (2021).

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AutoImplant 2020-first MICCAI challenge on automatic cranial implant design. Jianning Li, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Estacio, Christian Doenitz, Heiko Ramm, Haochen Shi (2021).

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Augmented reality in oral and maxillofacial surgery. Computer-Aided Oral and Maxillofacial Surgery. Christina Gsaxner, Ulrich Eck, Dieter Schmalstieg, Nassir Navab, Jan Egger (2021).

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Approaches to Uncertainty Quantification in Federated Deep Learning. International Workshops of ECML PKDD 2021. Florian Linsner, Linara Adilova, Sina Däubener, Michael Kamp, Asja Fischer (2021).

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An online platform for automatic skull defect restoration and cranial implant design. Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling. Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger (2021).

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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 (2021).

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A review on patient-specific facial and cranial implant design using Artificial Intelligence (AI) techniques. Afaque Rafique Memon, Jianning Li, Jan Egger, Xiaojun Chen (2021).

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A patch-based-approach for aortic landmarking. Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging. Michael Schmied, Antonio Pepe, Jan Egger (2021).

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A cloud-based centerline algorithm for Studierfenster. Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications. Christina Dionysio, Daniel Wild, Antonio Pepe, Christina Gsaxner, Jianning Li, Luis Alvarez, Jan Egger (2021).

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Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic DiseaseClassification and Localizationin Chest Radiographs. Proceedings of the Asian Conference on Computer Vision (ACCV). Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen (2020).

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Joint Imaging Platform for Federated Clinical Data Analytics. JCO Clinical Cancer Informatics. Jonas Scherer, Marco Nolden, Jens Kleesiek, Jasmin Metzger, Klaus Kades, Verena Schneider, Michael Bach, Oliver Sedlaczek, Andreas M. 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 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 (2020).

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PSMA PET total tumor volume predicts outcome of patients with advanced prostate cancer receiving [177Lu]Lu-PSMA-617 radioligand therapy in a bicentric analysis. European Journal of Nuclear Medicine and Molecular Imaging. 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 (2020).

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Semi-automatically quantified tumor volume using Ga-68-PSMA-11-PET as biomarker for survival in patients with advanced prostate cancer. Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine. Robert Seifert, Ken Herrmann, Jens Kleesiek, Michael A. Schafers, Vijay Shah, Zhoubing Xu, Guillaume Chabin, Sasa Garbic, Bruce Spottiswoode, Kambiz Rahbar (2020).

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Künstliche Intelligenz in der Hybridbildgebung. Der Radiologe. Christian Strack, Robert Seifert, Jens Kleesiek (2020).

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Wie funktioniert Radiomics?. Der Radiologe. Jacob M. Murray, Georgios Kaissis, Rickmer Braren, Jens Kleesiek (2020).

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Wie funktioniert maschinelles Lernen?. Der Radiologe. Jens Kleesiek, Jacob M. Murray, Christian Strack, Georgios Kaissis, Rickmer Braren (2020).

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Towards the automatization of cranial implant design in cranioplasty. Cham: Springer. Jianning Li, Jan Egger (2020).

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Analysis of PSMA expression and outcome in patients with advanced Prostate Cancer receiving $^textrm177$ Lu-PSMA-617 Radioligand Therapy. Theranostics. Robert Seifert, Konstantin Seitzer, Ken Herrmann, Katharina Kessel, Michael Schäfers, Jens Kleesiek, Matthias Weckesser, Martin Boegemann, Kambiz Rahbar (2020).

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Künstliche Intelligenz und maschinelles Lernen in der onkologischen Bildgebung. Der Onkologe. Jens Kleesiek, Jacob M. Murray, Georgios Kaissis, Rickmer Braren (2019).

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Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study. Investigative Radiology. 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 (2019).

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