Gregor Köhler

34 papers A* 3A 2Journal 19Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Abstract: An OpenMind for 3D Medical Vision Self-supervised Learning. Bildverarbeitung für die Medizin Constantin Ulrich, Tassilo Wald, Jonathan Suprijadi, Sebastian Ziegler, Michal Nohel, Robin Peretzke, Gregor Köhler, Klaus H. Maier-Hein
2025	J	`jnl`	Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353]. Medical Image Anal. Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé C. M. Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir
2025	J	`jnl`	PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images. Medical Image Anal. Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé C. M. Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir
2025	J	`jnl`	Primus: Enforcing Attention Usage for 3D Medical Image Segmentation. CoRR Tassilo Wald, Saikat Roy, Fabian Isensee, Constantin Ulrich, Sebastian Ziegler, Dasha Trofimova, Raphael Stock, Michael Baumgartner, Gregor Köhler, Klaus H. Maier-Hein
2024	—	`conf`	Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt. Bildverarbeitung für die Medizin Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein
2024	—	`conf`	Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement. Bildverarbeitung für die Medizin Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein
2024	A*	`conf`	Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. NeurIPS Tassilo Wald, Constantin Ulrich, Priyank Jaini, Gregor Köhler, David Zimmerer, Stefan Denner, Fabian Isensee, Michael Baumgartner, Klaus H. Maier-Hein
2024	J	`jnl`	Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. CoRR Tassilo Wald, Constantin Ulrich, Gregor Köhler, David Zimmerer, Stefan Denner, Michael Baumgartner, Fabian Isensee, Priyank Jaini, Klaus H. Maier-Hein
2024	A*	`conf`	Improving Deep Learning Optimization through Constrained Parameter Regularization. NeurIPS Jörg K. H. Franke, Michael Hefenbrock, Gregor Köhler, Frank Hutter
2024	J	`jnl`	PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images. CoRR Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé C. M. Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir
2024	A	`conf`	RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. WACV Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein
2023	—	`conf`	Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 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
2023	J	`jnl`	CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization. CoRR Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Jens Petersen, Klaus H. Maier-Hein
2023	—	`conf`	Contrastive Representations for Unsupervised Anomaly Detection and Localization. Bildverarbeitung für die Medizin Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein
2023	J	`jnl`	Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency. CoRR Tassilo Wald, Constantin Ulrich, Fabian Isensee, David Zimmerer, Gregor Köhler, Michael Baumgartner, Klaus H. Maier-Hein
2023	—	`conf`	MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. MICCAI (4) Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein
2023	J	`jnl`	MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation. CoRR Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein
2023	J	`jnl`	New Horizons in Parameter Regularization: A Constraint Approach. CoRR Jörg K. H. Franke, Michael Hefenbrock, Gregor Köhler, Frank Hutter
2023	J	`jnl`	RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. CoRR Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein
2023	J	`jnl`	SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model. CoRR Saikat Roy, Tassilo Wald, Gregor Köhler, Maximilian Rokuss, Nico Disch, Julius Holzschuh, David Zimmerer, Klaus H. Maier-Hein
2023	J	`jnl`	Transformer Utilization in Medical Image Segmentation Networks. CoRR Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein
2023	J	`jnl`	Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge. CoRR Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Shihao Ma, Adamo Young, Cheng Zhu, Kangkang Meng, Xin Yang, Ziyan Huang, Fan Zhang, Wentao Liu, YuanKe Pan, Shoujin Huang, Jiacheng Wang, Mingze Sun, Weixin Xu, Dengqiang Jia, Jae Won Choi, Natália Alves, Bram De Wilde, Gregor Köhler, Yajun Wu, Manuel Wiesenfarth, Qiongjie Zhu, Guoqiang Dong, Jian He, FLARE Challenge Consortium, Bo Wang
2022	—	`conf`	A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation. FLARE@MICCAI Gregor Köhler, Fabian Isensee, Klaus H. Maier-Hein
2022	J	`jnl`	MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 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
2022	—	`conf`	Unsupervised Anomaly Detection in the Wild. Bildverarbeitung für die Medizin David Zimmerer, Daniel Paech, Carsten T. Lüth, Jens Petersen, Gregor Köhler, Klaus H. Maier-Hein
2021	—	`conf`	Continuous-Time Deep Glioma Growth Models. MICCAI (3) 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
2021	J	`jnl`	Continuous-Time Deep Glioma Growth Models. CoRR 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
2021	J	`jnl`	GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data. CoRR Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein
2021	A	`conf`	GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data. UAI Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein
2021	A*	`conf`	Sample-Efficient Automated Deep Reinforcement Learning. ICLR Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter
2020	J	`jnl`	Sample-Efficient Automated Deep Reinforcement Learning. CoRR Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter
2019	—	`conf`	Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. Bildverarbeitung für die Medizin 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
2019	J	`jnl`	Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control. CoRR Jörg K. H. Franke, Gregor Köhler, Noor H. Awad, Frank Hutter
2018	J	`jnl`	nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. CoRR 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