Paul F. Jaeger

According to our database, Paul F. Jaeger authored at least 67 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy.

Zdravko Marinov, Paul F. Jäger, Jan Egger, Jens Kleesiek, Rainer Stiefelhagen

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Revisiting MAE pre-training for 3D medical image segmentation.

Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko, Andrei Goncharov, Alberto Paderno, Leander Maerkisch, Paul F. Jäger, Klaus H. Maier-Hein

CoRR, 2024

Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities.

Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady

CoRR, 2024

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics.

Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jäger

CoRR, 2024

Visual Prompt Engineering for Medical Vision Language Models in Radiology.

Stefan Denner, Markus Bujotzek, Dimitrios Bounias, David Zimmerer, Raphael Stock, Paul F. Jäger, Klaus H. Maier-Hein

CoRR, 2024

Overcoming Common Flaws in the Evaluation of Selective Classification Systems.

Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger

CoRR, 2024

Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation.

Maximilian Zenk, David Zimmerer, Fabian Isensee, Jeremias Traub, Tobias Norajitra, Paul F. Jäger, Klaus H. Maier-Hein

CoRR, 2024

Enhancing predictive imaging biomarker discovery through treatment effect analysis.

Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein

CoRR, 2024

Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation.

Karol Gotkowski, Carsten T. Lüth, Paul F. Jäger, Sebastian Ziegler, Lars Krämer, Stefan Denner, Shuhan Xiao, Nico Disch, Klaus H. Maier-Hein, Fabian Isensee

CoRR, 2024

Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology.

Stefan Denner, David Zimmerer, Dimitrios Bounias, Markus Bujotzek, Shuhan Xiao, Lisa Kausch, Philipp Schader, Tobias Penzkofer, Paul F. Jäger, Klaus H. Maier-Hein

CoRR, 2024

RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement.

Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.

Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI?

Evangelia Christodoulou, Annika Reinke, Rola Houhou, Piotr Kalinowski, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofiène Boutaj, Sophie Loizillon, Maëlys Solal, Nicola Rieke, Veronika Cheplygina, Michela Antonelli, Leon D. Mayer, Minu Dietlinde Tizabi, M. Jorge Cardoso, Amber L. Simpson, Paul F. Jäger, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation.

Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt.

Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection.

Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jäger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Görtz, Viktoria Schütz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement.

Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Understanding Silent Failures in Medical Image Classification.

Till J. Bungert, Levin Kobelke, Paul F. Jaeger

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Object Detection for Breast Diffusion-weighted Imaging.

Dimitrios Bounias, Michael Baumgartner, Peter Neher, Balint Kovacs, Ralf Floca, Paul F. Jaeger, Lorenz A. Kapsner, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Klaus H. Maier-Hein, Sebastian Bickelhaupt

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD.

Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

The Liver Tumor Segmentation Benchmark (LiTS).

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze

Medical Image Anal., 2023

Application-driven Validation of Posteriors in Inverse Problems.

Tim J. Adler, Jan-Hinrich Nölke, Annika Reinke, Minu Dietlinde Tizabi, Sebastian Gruber, Dasha Trofimova, Lynton Ardizzone, Paul F. Jaeger, Florian Büttner, Ullrich Köthe, Lena Maier-Hein

CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.

Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, 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, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein

CoRR, 2023

Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification.

Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger

CoRR, 2023

CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization.

Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Jens Petersen, Klaus H. Maier-Hein

CoRR, 2023

Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment.

Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation.

Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection.

Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jäger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Goertz, Viktoria Schuetz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Deployment of Image Analysis Algorithms Under Prevalence Shifts.

Patrick Godau, Piotr Kalinowski, Evangelia Christodoulou, Annika Reinke, Minu Tizabi, Luciana Ferrer, Paul F. Jäger, Lena Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Understanding Silent Failures in Medical Image Classification.

Till J. Bungert, Levin Kobelke, Paul F. Jäger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations.

Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification.

Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Why is the Winner the Best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.

David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Contrastive Representations for Unsupervised Anomaly Detection and Localization.

Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.

David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein

IEEE Trans. Medical Imaging, 2022

MONAI: An open-source framework for deep learning in healthcare.

M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng

CoRR, 2022

From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process.

Lukas Klein, Mennatallah El-Assady, Paul F. Jäger

CoRR, 2022

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 Dietlinde Tizabi, Laura Ación, 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 Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. 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

CoRR, 2022

Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings.

Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Heterogeneous Model Ensemble For Automatic Polyp Detection and Tracking In Colonoscopy.

Amine Yamlahi, Patrick Godau, Thuy Nuong Tran, Lucas-Raphael Muller, Tim Adler, Minu Tizabi, Michael Baumgartner, Paul Jäger, Lena Maier-Hein

Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022

Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks.

Maximilian Zenk, David Zimmerer, Fabian Isensee, Paul F. Jäger, Jakob Wasserthal, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Abstract: nnDetection - A Self-configuring Method for Medical Object Detection.

Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.

Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf

NeuroImage, 2021

GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data.

Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein

CoRR, 2021

Common Limitations of Image Processing Metrics: A Picture Story.

Annika Reinke, Matthias Eisenmann, Minu Dietlinde 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 M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. 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

CoRR, 2021

GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data.

Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Continuous-Time Deep Glioma Growth Models.

Jens Petersen, Fabian Isensee, Gregor Köhler, Paul F. Jäger, David Zimmerer, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Vollmuth, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

nnDetection: A Self-configuring Method for Medical Object Detection.

Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Abstract: Studying Robustness of Semantic Segmentation under Domain Shift in Cardiac MRI.

Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Challenges and Opportunities of End-to-End Learning in Medical Image Classification

Paul F. Jäger

PhD thesis, 2020

Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI.

Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

nnU-Net for Brain Tumor Segmentation.

Fabian Isensee, Paul F. Jäger, Peter M. Full, Philipp Vollmuth, Klaus H. Maier-Hein

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Abstract: Deep Probabilistic Modeling of Glioma Growth.

Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

nnU-Net: Breaking the Spell on Successful Medical Image Segmentation.

Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Paul F. Jäger, Klaus H. Maier-Hein

CoRR, 2019

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection.

Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein

Proceedings of the Machine Learning for Health Workshop, 2019

Reg R-CNN: Lesion Detection and Grading Under Noisy Labels.

Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Deep Probabilistic Modeling of Glioma Growth.

Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin

IEEE Trans. Medical Imaging, 2018

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein

CoRR, 2018

Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images.

Jennifer Kamphenkel, Paul F. Jäger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Stefan Delorme, Heinz-Peter Schlemmer, Franziska König, Klaus H. Maier-Hein

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Advanced Deep Learning Methods.

Paul Jäger, Fabian Isensee, Jens Petersen, David Zimmerer, Jakob Wasserthal, Klaus Hermann Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer.

Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus Hermann Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Revealing Hidden Potentials of q-Space Imaging in Breast Cancer.

Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus H. Maier-Hein

CoRR, 2017

Revealing Hidden Potentials of the q-Space Signal in Breast Cancer.

Paul F. Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features.

Fabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017