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Michael Baumgartner 0001
Person information
- affiliation: German Cancer Research Center, Heidelberg, Germany
- affiliation (former): RWTH Aachen University, Germany
Other persons with the same name
- Michael Baumgartner — disambiguation page
- Michael Baumgartner 0002 — Zurich University of Applied Sciences, Winterthur, Switzerland
- Michael Baumgartner 0003 — Department of Philosophy, University of Geneva, Switzerland
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2020 – today
- 2024
- [c16]Gianluca Brugnara, Michael Baumgartner, Edwin D. Scholze, Katerina Deike-Hofmann, Klaus Kades, Jonas Scherer, Stefan Denner, Hagen Meredig, Aditya Rastogi, Mustafa A. Mahmutoglu, Christian Ulfert, Ulf Neuberger, Silvia Schönenberger, Kai Schlamp, Zeynep Bendella, Thomas Pinetz, Carsten Schmeel, Wolfgang Wick, Peter A. Ringleb, Ralf Floca, Markus Möhlenbruch, Alexander Radbruch, Martin Bendszus, Klaus H. Maier-Hein, Philipp Vollmuth:
Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke. Bildverarbeitung für die Medizin 2024: 9 - [c15]Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein:
Abstract: Multi-dataset Approach to Medical Image Segmentation - MultiTalent. Bildverarbeitung für die Medizin 2024: 78 - [c14]Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein:
Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt. Bildverarbeitung für die Medizin 2024: 79 - [c13]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:
Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection. Bildverarbeitung für die Medizin 2024: 114 - [c12]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:
Abstract: Object Detection for Breast Diffusion-weighted Imaging. Bildverarbeitung für die Medizin 2024: 334 - [c11]Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger:
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. MICCAI (9) 2024: 488-498 - [c10]Constantin Ulrich, Catherine Knobloch, Julius Holzschuh, Tassilo Wald, Maximilian R. Rokuss, Maximilian Zenk, Maximilian Fischer, Michael Baumgartner, Fabian Isensee, Klaus H. Maier-Hein:
Mitigating False Predictions in Unreasonable Body Regions. MLMI@MICCAI (2) 2024: 22-31 - [i15]Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger:
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. CoRR abs/2404.09556 (2024) - [i14]Constantin Ulrich, Catherine Knobloch, Julius Holzschuh, Tassilo Wald, Maximilian R. Rokuss, Maximilian Zenk, Maximilian Fischer, Michael Baumgartner, Fabian Isensee, Klaus H. Maier-Hein:
Mitigating False Predictions In Unreasonable Body Regions. CoRR abs/2404.15718 (2024) - [i13]Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger:
Overcoming Common Flaws in the Evaluation of Selective Classification Systems. CoRR abs/2407.01032 (2024) - 2023
- [c9]Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein:
Taming Detection Transformers for Medical Object Detection. Bildverarbeitung für die Medizin 2023: 183-188 - [c8]Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. MICCAI (4) 2023: 405-415 - [c7]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:
Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection. MICCAI (7) 2023: 531-540 - [c6]Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein:
MultiTalent: A Multi-dataset Approach to Medical Image Segmentation. MICCAI (3) 2023: 648-658 - [i12]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:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i11]Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein:
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation. CoRR abs/2303.09975 (2023) - [i10]Michael Baumgartner, Peter M. Full, Klaus H. Maier-Hein:
Accurate Detection of Mediastinal Lesions with nnDetection. CoRR abs/2303.11214 (2023) - [i9]Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein:
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation. CoRR abs/2303.14444 (2023) - [i8]Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein:
Transformer Utilization in Medical Image Segmentation Networks. CoRR abs/2304.04225 (2023) - [i7]Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein:
Taming Detection Transformers for Medical Object Detection. CoRR abs/2306.15472 (2023) - [i6]Tassilo Wald, Constantin Ulrich, Fabian Isensee, David Zimmerer, Gregor Köhler, Michael Baumgartner, Klaus H. Maier-Hein:
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency. CoRR abs/2307.02516 (2023) - [i5]Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jaeger, 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:
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection. CoRR abs/2309.03652 (2023) - 2022
- [c5]Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein:
Abstract: nnDetection - A Self-configuring Method for Medical Object Detection. Bildverarbeitung für die Medizin 2022: 50 - [c4]Amine Yamlahi, Patrick Godau, Thuy Nuong Tran, Lucas-Raphael Muller, Tim Adler, Minu Tizabi, Michael Baumgartner, Paul Jäger, Lena Maier-Hein:
Heterogeneous Model Ensemble For Automatic Polyp Detection and Tracking In Colonoscopy. EndoCV@ISBI 2022: 25-28 - [c3]Michael Baumgartner, Peter M. Full, Klaus H. Maier-Hein:
Accurate Detection of Mediastinal Lesions with nnDetection. CuRIOUS/KiPA/MELA@MICCAI 2022: 79-85 - [i4]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:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i3]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:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - 2021
- [j2]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:
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage 238: 118216 (2021) - [c2]Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein:
nnDetection: A Self-configuring Method for Medical Object Detection. MICCAI (5) 2021: 530-539 - [i2]Michael Baumgartner, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
nnDetection: A Self-configuring Method for Medical Object Detection. CoRR abs/2106.00817 (2021)
2010 – 2019
- 2019
- [j1]Christoph Haarburger, Justus Schock, Michael Baumgartner, Oliver Rippel, Dorit Merhof:
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis. J. Open Source Softw. 4(38): 1488 (2019) - [c1]Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. MICCAI (4) 2019: 495-503 - [i1]Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. CoRR abs/1906.06058 (2019)
Coauthor Index
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