Fabian Isensee
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
5
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation. | Karol Gotkowski, Klaus H. Maier-Hein, Fabian Isensee |
| 2024 | ECCV | Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. | Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein |
| 2024 | ECCV | Quality Assured: Rethinking Annotation Strategies in Imaging AI. | Tim Rdsch, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Nicholas Heller, Fabian Isensee, Annette Kopp-Schneider, Lena Maier-Hein |
| 2024 | MICCAI | Scaling nnU-Net for CBCT Segmentation. | Fabian Isensee, Yannick Kirchhoff, Lars Krmer, Maximilian Rokuss, Constantin Ulrich, Klaus H. Maier-Hein |
| 2024 | MICCAI | 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. Jger |
| 2024 | MICCAI | Efficient Pan-Cancer Lesion Segmentation from Partially Labeled Data with nnU-Net. | Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee |
| 2024 | MICCAI | Efficient Cross-Modality Abdominal Organ Segmentation Using nnU-Net and MIND Descriptors. | Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee |
| 2024 | MICCAI | Optimizing nnU-Net with OpenVINO for Fast CPU Inference in Abdominal Organ Segmentation. | Yannick Kirchhoff, Ashis Ravindran, Maximilian Rokuss, Benjamin Hamm, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee |
| 2024 | MICCAI | Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting. | Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus H. Maier-Hein |
| 2024 | WACV | RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. | Gregor Khler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jrg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein |
| 2023 | CVPR | 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 Huaulm, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martn-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rdsch, 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 Brngel, J. Cho, C. Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, lvaro Garca-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, lodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hlne Urien, Joo L. Vilaa, 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, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jger, Annette Kopp-Schneider, Lena Maier-Hein |
| 2023 | MICCAI | Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection. | Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jger, 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 |
| 2023 | MICCAI | MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. | Saikat Roy, Gregor Khler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jger, Klaus H. Maier-Hein |
| 2023 | MICCAI | MultiTalent: A Multi-dataset Approach to Medical Image Segmentation. | Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein |
| 2022 | MICCAI | A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation. | Gregor Khler, Fabian Isensee, Klaus H. Maier-Hein |
| 2021 | MICCAI | nnDetection: A Self-configuring Method for Medical Object Detection. | Michael Baumgartner, Paul F. Jger, Fabian Isensee, Klaus H. Maier-Hein |
| 2021 | MICCAI | Continuous-Time Deep Glioma Growth Models. | Jens Petersen, Fabian Isensee, Gregor Khler, Paul F. Jger, David Zimmerer, Ulf Neuberger, Wolfgang Wick, Jrgen Debus, Sabine Heiland, Martin Bendszus, Philipp Vollmuth, Klaus H. Maier-Hein |
| 2021 | UAI | GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data. | Jens Petersen, Gregor Khler, David Zimmerer, Fabian Isensee, Paul F. Jger, Klaus H. Maier-Hein |
| 2020 | MICCAI | Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI. | Peter M. Full, Fabian Isensee, Paul F. Jger, Klaus H. Maier-Hein |
| 2019 | MICCAI | Deep Probabilistic Modeling of Glioma Growth. | Jens Petersen, Paul F. Jger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jrgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein |
| 2019 | MICCAI | Unsupervised Anomaly Localization Using Variational Auto-Encoders. | David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein |
| 2018 | MICCAI | No New-Net. | Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein |
| 2017 | MICCAI | 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 |
| 2017 | MICCAI | Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge. | Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein |