Fabian Isensee

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All published works

Action	Title	Year	Authors
+ PDF Chat	ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models	2025	Wenxuan Li Pedro R. A. S. Bassi Tianyu Lin Yu-Cheng Chou Xiangyu Zhou Yucheng Tang Fabian Isensee Kang Wang Qi Chen Xiaowei Xu
+ PDF Chat	Scaling nnU-Net for CBCT Segmentation	2024	Fabian Isensee Yannick Kirchhoff Lars Kraemer Maximilian Rokuss Constantin Ulrich Klaus H. Maier-Hein
+ PDF Chat	Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?	2024	Pedro R. A. S. Bassi Wenxuan Li Yucheng Tang Fabian Isensee Zifu Wang Jieneng Chen Yu-Cheng Chou Yannick Kirchhoff Maximilian Rokuss Ziyan Huang
+ PDF Chat	Decoupling Semantic Similarity from Spatial Alignment for Neural Networks	2024	Tassilo Wald Constantin Ulrich Gregor Köhler David Zimmerer Stefan Denner Michael Baumgartner Fabian Isensee Priyank Jaini Klaus H. Maier‐Hein
+ PDF Chat	Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting	2024	Maximilian Rokuss Yannick Kirchhoff Saikat Roy Bálint Kovàcs Constantin Ulrich Tassilo Wald Maximilian Zenk Stefan Denner Fabian Isensee Philipp Kickingereder
+ PDF Chat	Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge	2024	Bálint Kovàcs Shuhan Xiao Maximilian Rokuss Constantin Ulrich Fabian Isensee Klaus H. Maier-Hein
+ PDF Chat	From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging	2024	Maximilian Rokuss Bálint Kovàcs Yannick Kirchhoff Shuhan Xiao Constantin Ulrich Klaus H. Maier-Hein Fabian Isensee
+ PDF Chat	Quality Assured: Rethinking Annotation Strategies in Imaging AI	2024	Tim Rädsch Annika Reinke Vivienn Weru Minu D. Tizabi Nicholas Heller Fabian Isensee Annette Kopp‐Schneider Lena Maier‐Hein
+ PDF Chat	Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation	2024	Maximilian Zenk David Zimmerer Fabian Isensee Jeremias Traub Tobias Norajitra Paul F. Jäger Klaus H. Maier‐Hein
+ PDF Chat	Mitigating False Predictions In Unreasonable Body Regions	2024	Constantin Ulrich Catherine Knobloch Julius C. Holzschuh Tassilo Wald Maximilian Rokuss Maximilian Zenk Maximilian Fischer Michael Baumgartner Fabian Isensee Klaus H. Maier‐Hein
+ PDF Chat	nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation	2024	Fabian Isensee Tassilo Wald Constantin Ulrich Michael Baumgartner Saikat Roy Klaus H. Maier‐Hein Paul F. Jaeger
+ PDF Chat	Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures	2024	Yannick Kirchhoff Maximilian Rokuss Saikat Roy Bálint Kovàcs Constantin Ulrich Tassilo Wald Maximilian Zenk Philipp Kickingereder Jens Kleesiek Fabian Isensee
+ PDF Chat	Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation	2024	Karol Gotkowski Carsten Lüth Paul F. Jäger Sebastian Ziegler Lars Krämer Stefan Denner Shuhan Xiao Nico Disch Klaus H. Maier‐Hein Fabian Isensee
+	Understanding metric-related pitfalls in image analysis validation	2024	Annika Reinke Minu D. Tizabi Michael Baumgartner Matthias Eisenmann Doreen Heckmann-Nötzel Ali Emre Kavur Tim Rädsch Carole H. Sudre Laura Ación Michela Antonelli
+	Metrics reloaded: recommendations for image analysis validation	2024	Lena Maier‐Hein Annika Reinke Patrick Godau Minu D. Tizabi Florian Buettner Evangelia Christodoulou Ben Glocker Fabian Isensee Jens Kleesiek Michal Kozubek
+ PDF Chat	RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement	2024	Gregor Koehler Tassilo Wald Constantin Ulrich David Zimmerer Paul F. Jaeger Jörg K. H. Franke Simon Kohl Fabian Isensee Klaus H. Maier‐Hein
+ PDF Chat	ParticleSeg3D: A scalable out-of-the-box deep learning segmentation solution for individual particle characterization from micro CT images in mineral processing and recycling	2023	Karol Gotkowski Shuvam Gupta Jose R. A. Godinho Camila G. S. Tochtrop Klaus H. Maier‐Hein Fabian Isensee
+ PDF Chat	USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging	2023	Sophie Ostmeier Brian Axelrod Fabian Isensee Jeroen Bertels Michael Mlynash Søren Christensen Maarten G. Lansberg Gregory W. Albers Rajen Sheth Benjamin F.J. Verhaaren
+ PDF Chat	Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient	2023	Florian Kofler Ivan Ezhov Fabian Isensee Fabian Balsiger Christoph Berger Maximilian Koerner Beatrice Demiray Julia Rackerseder Johannes C. Paetzold Hongwei Li
+	CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization	2023	Carsten T. Lüth David Zimmerer Gregor Koehler Paul F. Jaeger Fabian Isensee Jens Petersen Klaus H. Maier‐Hein
+	ParticleSeg3D: A Scalable Out-of-the-Box Deep Learning Segmentation Solution for Individual Particle Characterization from Micro CT Images in Mineral Processing and Recycling	2023	Karol Gotkowski Shuvam Gupta Jose R. A. Godinho Camila G. S. Tochtrop Klaus H. Maier‐Hein Fabian Isensee
+	Understanding metric-related pitfalls in image analysis validation	2023	Annika Reinke Minu D. Tizabi Michael Baumgartner Matthias Eisenmann Doreen Heckmann-Nötzel Ali Emre Kavur Tim Rädsch Carole H. Sudre Laura Ación Michela Antonelli
+	MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation	2023	Saikat Roy Gregor Koehler Constantin Ulrich Michael Baumgartner Jens Petersen Fabian Isensee Paul F. Jaeger Klaus H. Maier‐Hein
+	MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation	2023	Constantin Ulrich Fabian Isensee Tassilo Wald Maximilian Zenk Michael Baumgartner Klaus H. Maier‐Hein
+	Why is the winner the best?	2023	Matthias Eisenmann Annika Reinke Vivienn Weru Minu D. Tizabi Fabian Isensee Tim Adler Sharib Ali Vincent Andrearczyk Marc Aubreville Ujjwal Baid
+	Transformer Utilization in Medical Image Segmentation Networks	2023	Saikat Roy Gregor Koehler Michael Baumgartner Constantin Ulrich Jens Petersen Fabian Isensee Klaus H. Maier‐Hein
+ PDF Chat	Extending nnU-Net Is All You Need	2023	Fabian Isensee Constantin Ulrich Tassilo Wald Klaus H. Maier‐Hein
+	The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT	2023	Nicholas Heller Fabian Isensee Dasha Trofimova Resha Tejpaul Zhongchen Zhao Huai Chen Lisheng Wang Alex Golts Daniel Khapun Daniel Shats
+	Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency	2023	Tassilo Wald Constantin Ulrich Fabian Isensee David Zimmerer Gregor Koehler Michael Baumgartner Klaus H. Maier‐Hein
+	Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection	2023	Bálint Kovàcs Nils Netzer Michael Baumgartner Carolin Eith Dimitrios Bounias Clara Meinzer Paul F. Jaeger Kevin S. Zhang Ralf Floca A.J. Schrader
+	RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement	2023	Gregor Koehler Tassilo Wald Constantin Ulrich David Zimmerer Paul F. Jaeger Jörg K. H. Franke Simon Kohl Fabian Isensee Klaus H. Maier‐Hein
+	Look Ma, no code: fine tuning nnU-Net for the AutoPET II challenge by only adjusting its JSON plans	2023	Fabian Isensee Klaus H. Maier‐Hein
+	Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps	2023	Florian Kofler Hendrik Möller Josef A. Buchner Ezequiel de la Rosa Ivan Ezhov Marcel Rosier Isra Mekki Suprosanna Shit Moritz Negwer Rami Al-Maskari
+	Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA	2023	Kaiyuan Yang Fabio Musio Yihui Ma Norman Juchler Johannes C. Paetzold Rami Al-Maskari Luciano Höher Hongwei Li İbrahim Ethem Hamamcı Anjany Sekuboyina
+	The Liver Tumor Segmentation Benchmark (LiTS)	2022	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand
+ PDF Chat	The Medical Segmentation Decathlon	2022	Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze Olaf Ronneberger Ronald M. Summers
+ PDF Chat	Classification of diffraction patterns using a convolutional neural network in single-particle-imaging experiments performed at X-ray free-electron lasers	2022	Dameli Assalauova Alexandr Ignatenko Fabian Isensee Darya Trofimova Ivan A. Vartanyants
+	Semantic segmentation of multispectral photoacoustic images using deep learning	2022	Melanie Schellenberg Kris K. Dreher Niklas Holzwarth Fabian Isensee Annika Reinke Nicholas Schreck Alexander Seitel Minu D. Tizabi Lena Maier‐Hein Janek Gröhl
+	Extending nnU-Net is all you need	2022	Fabian Isensee Constantin Ulrich Tassilo Wald Klaus H. Maier‐Hein
+	USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations	2022	Sophie Ostmeier Brian Axelrod Jeroen Bertels Fabian Isensee Maarten G. Lansberg Søren Christensen Gregory W. Albers Li-Jia Li Jeremy J. Heit
+	Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads	2022	René Caspart Sebastian Ziegler Arvid Weyrauch Holger Obermaier Simon Raffeiner Leon Pascal Schuhmacher Jan M. Scholtyssek Darya Trofimova Marco Nolden Ines Reinartz
+	Biomedical image analysis competitions: The state of current participation practice	2022	Matthias Eisenmann Annika Reinke Vivienn Weru Minu D. Tizabi Fabian Isensee Tim Adler Patrick Godau Veronika Cheplygina Michal Kozubek Sharib Ali
+ PDF Chat	Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads	2022	René Caspart Sebastian Ziegler Arvid Weyrauch Holger Obermaier Simon Raffeiner Leon Pascal Schuhmacher Jan M. Scholtyssek Darya Trofimova Marco Nolden Ines Reinartz
+	Metrics reloaded: Recommendations for image analysis validation	2022	Lena Maier‐Hein Annika Reinke Patrick Godau Minu D. Tizabi Florian Buettner Evangelia Christodoulou Ben Glocker Fabian Isensee Jens Kleesiek Michal Kozubek
+	Band selection for oxygenation estimation with multispectral/hyperspectral imaging	2021	Leonardo Ayala Fabian Isensee Sebastian Wirkert Anant Vemuri Klaus H. Maier‐Hein Baowei Fei Lena Maier‐Hein
+	GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data	2021	Jens Petersen Gregor Koehler David Zimmerer Fabian Isensee Paul F. Jäger Klaus H. Maier‐Hein
+	Continuous-Time Deep Glioma Growth Models	2021	Jens Petersen Fabian Isensee Gregor Köhler Paul F. Jäger David Zimmerer Ulf Neuberger Wolfgang Wick Jürgen Debus Sabine Heiland Martin Bendszus
+	How can we learn (more) from challenges? A statistical approach to driving future algorithm development.	2021	Tobias Roß Pierangela Bruno Annika Reinke Manuel Wiesenfarth Lisa Koeppel Peter M. Full Bünyamin Pekdemir Patrick Godau Darya Trofimova Fabian Isensee
+	GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data	2021	Jens Petersen Gregor Köhler David Zimmerer Fabian Isensee Paul F. Jäger Klaus H. Maier‐Hein
+	nnDetection: A Self-configuring Method for Medical Object Detection	2021	Michael Baumgartner Paul F. Jaeger Fabian Isensee Klaus H. Maier‐Hein
+	Common Limitations of Image Processing Metrics: A Picture Story	2021	Annika Reinke Matthias Eisenmann Minu D. Tizabi Carole H. Sudre Tim Rädsch Michela Antonelli Tal Arbel Spyridon Bakas M. Jorge Cardoso Veronika Cheplygina
+ PDF Chat	Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI	2021	Peter M. Full Fabian Isensee Paul F. Jäger Klaus H. Maier‐Hein
+ PDF Chat	nnU-Net for Brain Tumor Segmentation	2021	Fabian Isensee Paul F. Jäger Peter M. Full Philipp Kickingereder Klaus H. Maier‐Hein
+ PDF Chat	nnDetection: A Self-configuring Method for Medical Object Detection	2021	Michael Baumgartner Paul F. Jäger Fabian Isensee Klaus H. Maier‐Hein
+ PDF Chat	Continuous-Time Deep Glioma Growth Models	2021	Jens Petersen Fabian Isensee Gregor Köhler Paul F. Jäger David Zimmerer Ulf Neuberger Wolfgang Wick Jürgen Debus Sabine Heiland Martin Bendszus
+	Classification of diffraction patterns using a convolutional neural network in single particle imaging experiments performed at X-ray free-electron lasers	2021	Dameli Assalauova Alexandr Ignatenko Fabian Isensee Sergey G. Bobkov Darya Trofimova Ivan A. Vartanyants
+	The Medical Segmentation Decathlon	2021	Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider Bennett A. Landman Geert Litjens Bjoern Menze Olaf Ronneberger Ronald M. Summers
+	How can we learn (more) from challenges? A statistical approach to driving future algorithm development	2021	Tobias L. Roß Pierangela Bruno Annika Reinke Manuel Wiesenfarth Lisa Koeppel Peter M. Full Bünyamin Pekdemir Patrick Godau Darya Trofimova Fabian Isensee
+	Common Limitations of Image Processing Metrics: A Picture Story	2021	Annika Reinke Minu D. Tizabi Carole H. Sudre Matthias Eisenmann Tim Rädsch Michael Baumgartner Laura Ación Michela Antonelli Tal Arbel Spyridon Bakas
+	Continuous-Time Deep Glioma Growth Models	2021	Jens Petersen Fabian Isensee Gregor Köhler Paul F. Jäger David Zimmerer Ulf Neuberger Wolfgang Wick Jürgen Debus Sabine Heiland Martin Bendszus
+	GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data	2021	Jens Petersen Gregor Köhler David Zimmerer Fabian Isensee Paul F. Jäger Klaus H. Maier‐Hein
+	Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient	2021	Florian Kofler Ivan Ezhov Fabian Isensee Fabian Balsiger Christoph Berger Maximilian Koerner Beatrice Demiray Julia Rackerseder Johannes C. Paetzold Hongwei Li
+ PDF Chat	CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	2020	Ali Emre Kavur Naciye Sinem Gezer Mustafa Barış Sinem Aslan Pierre-Henri Conze Vladimir Groza Duc Duy Pham Soumick Chatterjee Philipp Ernst Savaş Özkan
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein
+	Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI	2020	Peter M. Full Fabian Isensee Paul F. Jäger Klaus H. Maier‐Hein
+	nnU-Net for Brain Tumor Segmentation	2020	Fabian Isensee Paul F. Jaeger Peter M. Full Philipp Kickingereder Klaus H. Maier‐Hein
+	The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge	2020	Nicholas Heller Fabian Isensee Klaus H. Maier‐Hein Xiaoshuai Hou Chunmei Xie Fengyi Li Nan Yang Guangrui Mu Zhiyong Lin Miofei Han
+ PDF Chat	The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping	2020	Alex Zwanenburg Martin Vallières Mahmoud A. Abdalah Hugo J.W.L. Aerts Vincent Andrearczyk Aditya Apte Saeed Ashrafinia Spyridon Bakas Roelof J. Beukinga Ronald Boellaard
+	Robust Medical Instrument Segmentation Challenge 2019	2020	Tobias L. Roß Annika Reinke Peter M. Full Martin Wagner Hannes Kenngott Martin Apitz Hellena Hempe Diana Mindroc Filimon Patrick Scholz Thuy Nuong Tran
+	OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images	2020	Fabian Isensee Klaus H. Maier‐Hein
+	Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI	2020	Peter M. Full Fabian Isensee Paul F. Jäger Klaus H. Maier‐Hein
+	nnU-Net for Brain Tumor Segmentation	2020	Fabian Isensee Paul F. Jaeger Peter M. Full Philipp Kickingereder Klaus H. Maier‐Hein
+	ModelHub.AI: Dissemination Platform for Deep Learning Models.	2019	Ahmed Hosny Michael Schwier Christoph Berger Evin Pınar Örnek Mehmet Turan Phi Vu Tran Leon Weninger Fabian Isensee Klaus H. Maier‐Hein Richard McKinley
+ PDF Chat	Automated brain extraction of multisequence MRI using artificial neural networks	2019	Fabian Isensee Marianne Schell Irada Pflueger Gianluca Brugnara David Bonekamp Ulf Neuberger Antje Wick Heinz‐Peter Schlemmer Sabine Heiland Wolfgang Wick
+	An attempt at beating the 3D U-Net	2019	Fabian Isensee Klaus H. Maier‐Hein
+	Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection -- Extended Abstract	2019	Davbid Zimmerer Simon Kohl Jens Petersen Fabian Isensee Klaus H. Maier‐Hein
+	Deep Probabilistic Modeling of Glioma Growth	2019	Jens Petersen Paul F. Jäger Fabian Isensee Simon Kohl Ulf Neuberger Wolfgang Wick Jürgen Debus Sabine Heiland Martin Bendszus Philipp Kickingereder
+	Unsupervised Anomaly Localization using Variational Auto-Encoders	2019	David Zimmerer Fabian Isensee Jens Petersen Simon Kohl Klaus H. Maier‐Hein
+	Task-specific multispectral band selection	2019	Sebastian Wirkert Fabian Isensee Anant Vemuri Leonardo Ayala Klaus H. Maier‐Hein Baowei Fei Lena Maier‐Hein
+	nnU-Net: Breaking the Spell on Successful Medical Image Segmentation.	2019	Fabian Isensee Jens Petersen Simon Kohl Paul F. Jäger Klaus H. Maier‐Hein
+ PDF Chat	Unsupervised Anomaly Localization Using Variational Auto-Encoders	2019	David Zimmerer Fabian Isensee Jens Petersen Simon Kohl Klaus H. Maier‐Hein
+ PDF Chat	Deep Probabilistic Modeling of Glioma Growth	2019	Jens Petersen Paul F. Jäger Fabian Isensee Simon Kohl Ulf Neuberger Wolfgang Wick Jürgen Debus Sabine Heiland Martin Bendszus Philipp Kickingereder
+	Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection -- Short Paper	2019	David Zimmerer Simon Kohl Jens Petersen Fabian Isensee Klaus H. Maier‐Hein
+	Deep Probabilistic Modeling of Glioma Growth	2019	Jens Petersen Paul F. Jäger Fabian Isensee Simon Kohl Ulf Neuberger Wolfgang Wick Jürgen Debus Sabine Heiland Martin Bendszus Philipp Kickingereder
+	The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge	2019	Nicholas Heller Fabian Isensee Klaus H. Maier‐Hein Xiaoshuai Hou Chunmei Xie Fengyi Li Nan Yang Guangrui Mu Zhiyong Lin Miofei Han
+	ModelHub.AI: Dissemination Platform for Deep Learning Models	2019	Ahmed Hosny Michael Schwier Christoph Berger Evin Pınar Örnek Mehmet Turan Phi V Tran Leon Weninger Fabian Isensee Klaus H. Maier‐Hein Richard McKinley
+	Unsupervised Anomaly Localization using Variational Auto-Encoders	2019	David Zimmerer Fabian Isensee Jens Petersen Simon Kohl Klaus H. Maier‐Hein
+	Band selection for oxygenation estimation with multispectral/hyperspectral imaging	2019	Leonardo Ayala Fabian Isensee Sebastian Wirkert Anant Vemuri Klaus H. Maier‐Hein Baowei Fei Klaus H. Maier‐Hein
+	The Liver Tumor Segmentation Benchmark (LiTS)	2019	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand
+	An attempt at beating the 3D U-Net	2019	Fabian Isensee Klaus H. Maier‐Hein
+	No New-Net	2018	Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier‐Hein
+	nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation	2018	Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger Simon Kohl Jakob Wasserthal Gregor Koehler Tobias Norajitra Sebastian Wirkert
+ PDF Chat	Exploiting the potential of unlabeled endoscopic video data with self-supervised learning	2018	Tobias Roß David Zimmerer Anant Vemuri Fabian Isensee Manuel Wiesenfarth Sebastian Bodenstedt Fabian Both Philip Kessler Martin Wagner Beat P. Müller‐Stich
+	Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge	2018	Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier‐Hein
+	Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection	2018	Paul F. Jaeger Simon Kohl Sebastian Bickelhaupt Fabian Isensee Tristan Anselm Kuder Heinz‐Peter Schlemmer Klaus H. Maier‐Hein
+	Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection	2018	David Zimmerer Simon Kohl Jens Petersen Fabian Isensee Klaus H. Maier‐Hein
+ PDF Chat	Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge	2018	Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier‐Hein
+ PDF Chat	Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features	2018	Fabian Isensee Paul F. Jaeger Peter M. Full Ivo Wolf Sandy Engelhardt Klaus H. Maier‐Hein
+	nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation	2018	Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger Simon Kohl Jakob Wasserthal Gregor Koehler Tobias Norajitra Sebastian Wirkert
+	Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge	2018	Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier‐Hein
+	No New-Net	2018	Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier‐Hein
+ PDF Chat	Clickstream Analysis for Crowd-Based Object Segmentation with Confidence	2017	Eric Heim Alexander Seitel Jonas Andrulis Fabian Isensee Christian Stock Tobias Roß Klaus H. Maier‐Hein
+	Exploiting the potential of unlabeled endoscopic video data with self-supervised learning	2017	Tobias Roß David Zimmerer Anant Vemuri Fabian Isensee Manuel Wiesenfarth Sebastian Bodenstedt Fabian Both Philip Kessler Martin Wagner Beat P. Müller‐Stich
+	Direct White Matter Bundle Segmentation using Stacked U-Nets	2017	Jakob Wasserthal Peter Neher Fabian Isensee Klaus H. Maier‐Hein
+	Direct White Matter Bundle Segmentation using Stacked U-Nets	2017	Jakob Wasserthal Peter Neher Fabian Isensee Klaus H. Maier‐Hein
+	Exploiting the potential of unlabeled endoscopic video data with self-supervised learning	2017	Tobias L. Roß David Zimmerer Anant Vemuri Fabian Isensee Manuel Wiesenfarth Sebastian Bodenstedt Fabian Both Philip Kessler Martin Wagner Beat P. Müller‐Stich

Common Coauthors

Coauthor	Papers Together
Klaus H. Maier‐Hein	88
Jens Petersen	30
Paul F. Jäger	27
David Zimmerer	24
Simon Kohl	18
Bjoern Menze	18
Philipp Kickingereder	17
Spyridon Bakas	17
Lena Maier‐Hein	17
Michael Baumgartner	16
Annette Kopp‐Schneider	16
Annika Reinke	16
Constantin Ulrich	15
Paul F. Jaeger	15
Martin Bendszus	12
Wolfgang Wick	12
Tassilo Wald	11
Manuel Wiesenfarth	11
Peter M. Full	10
Michela Antonelli	10
Minu D. Tizabi	10
Bram van Ginneken	10
Maximilian Rokuss	9
Patrick Godau	9
Bennett A. Landman	9
Gregor Koehler	9
M. Jorge Cardoso	9
Matthias Eisenmann	8
Geert Litjens	8
Michal Kozubek	8
Henning Müller	8
Keyvan Farahani	8
Tim Rädsch	8
Florian Kofler	8
Carole H. Sudre	8
Jens Kleesiek	8
Ronald M. Summers	8
Maximilian Zenk	7
Pierre Jannin	7
Ivan Ezhov	7
Ulf Neuberger	7
Saikat Roy	7
Yannick Kirchhoff	7
Hongwei Li	7
Adrián Galdrán	7
Sabine Heiland	7
Veronika Cheplygina	7
Benedikt Wiestler	7
Anne L. Martel	6
Nasir Rajpoot	6

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	18
+ PDF Chat	Why rankings of biomedical image analysis competitions should be interpreted with care	2018	Lena Maier‐Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic Patrick Scholz Tal Arbel Hrvoje Bogunović Andrew P. Bradley Aaron Carass	13
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	11
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	11
+	A large annotated medical image dataset for the development and evaluation of segmentation algorithms	2019	Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani Bram van Ginneken Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze	9
+ PDF Chat	Methods and open-source toolkit for analyzing and visualizing challenge results	2021	Manuel Wiesenfarth Annika Reinke Bennett A. Landman Matthias Eisenmann Laura Aguilera Saiz M. Jorge Cardoso Lena Maier‐Hein Annette Kopp‐Schneider	9
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	8
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	8
+ PDF Chat	The Importance of Skip Connections in Biomedical Image Segmentation	2016	Michal Drozdzal Eugene Vorontsov Gabriel Chartrand Samuel Kadoury Chris Pal	7
+	Instance Normalization: The Missing Ingredient for Fast Stylization	2016	Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky	6
+	The Liver Tumor Segmentation Benchmark (LiTS)	2022	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand	6
+	Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy	2018	Stanislav Nikolov Sam Blackwell Alexei Zverovitch R. Mendes Michelle Livne Jeffrey De Fauw Yojan Patel Clemens Meyer Harry Askham Bernardino Romera‐Paredes	6
+	The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes	2019	Nicholas Heller Niranjan Sathianathen Arveen Kalapara Edward Walczak Keenan Moore Heather Kaluzniak Joel Rosenberg Paul Blake Zachary Rengel Makinna Oestreich	6
+ PDF Chat	The Medical Segmentation Decathlon	2022	Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze Olaf Ronneberger Ronald M. Summers	6
+ PDF Chat	H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes	2018	Xiaomeng Li Hao Chen Xiaojuan Qi Qi Dou Chi‐Wing Fu Pheng‐Ann Heng	6
+	Attention U-Net: Learning Where to Look for the Pancreas	2018	Ozan Oktay Jo Schlemper Loïc Le Folgoc Matthew C. H. Lee Mattias P. Heinrich‬ Kazunari Misawa Kensaku Mori Steven McDonagh Nils Hammerla Bernhard Kainz	6
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	5
+	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation	2016	Konstantinos Kamnitsas Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Daniel Rueckert Ben Glocker	5
+ PDF Chat	Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model	2016	Matthieu Lê Hervé Delingette Jayashree Kalpathy–Cramer Elizabeth R. Gerstner Tracy Batchelor Jan Unkelbach Nicholas Ayache	4
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	4
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	4
+ PDF Chat	Image-based modeling of tumor growth in patients with glioma.	2011	Bjoern Menze Erin Stretton Ender Konukoğlu Nicholas Ayache	4
+ PDF Chat	Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge	2018	Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier‐Hein	4
+ PDF Chat	Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference	2019	Jana Lipková Panagiotis Angelikopoulos Stephen Wu Esther Alberts Benedikt Wiestler Christian Diehl Christine Preibisch Thomas Pyka Stephanie E. Combs Panagiotis Hadjidoukas	4
+	CNN-based Segmentation of Medical Imaging Data.	2017	Baris Kayalibay Grady W. Jensen Patrick van der Smagt	4
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	4
+	nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation	2018	Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger Simon Kohl Jakob Wasserthal Gregor Koehler Tobias Norajitra Sebastian Wirkert	4
+	The Liver Tumor Segmentation Benchmark (LiTS)	2019	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand	4
+	Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging	2018	Xiaoran Chen Nick Pawlowski Martin Rajchl Ben Glocker Ender Konukoğlu	4
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	4
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	4
+ PDF Chat	Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images	2019	Christoph Baur Benedikt Wiestler Shadi Albarqouni Nassir Navab	3
+	Common Limitations of Image Processing Metrics: A Picture Story	2021	Annika Reinke Minu D. Tizabi Carole H. Sudre Matthias Eisenmann Tim Rädsch Michael Baumgartner Laura Ación Michela Antonelli Tal Arbel Spyridon Bakas	3
+ PDF Chat	A Generative Approach for Image-Based Modeling of Tumor Growth	2011	Bjoern Menze Koen Van Leemput Antti Honkela Ender Konukoglu Marc‐André Weber Nicholas Ayache Polina Golland	3
+ PDF Chat	Heidelberg colorectal data set for surgical data science in the sensor operating room	2021	Lena Maier‐Hein Martin Wagner Tobias Roß Annika Reinke Sebastian Bodenstedt Peter M. Full Hellena Hempe Diana Mîndroc-Filimon Patrick Scholz Thuy Nuong Tran	3
+	nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation	2018	Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger Simon Kohl Jakob Wasserthal Gregor Koehler Tobias Norajitra Sebastian Wirkert	3
+	BIAS: Transparent reporting of biomedical image analysis challenges	2020	Lena Maier‐Hein Annika Reinke Michal Kozubek Anne L. Martel Tal Arbel Matthias Eisenmann Allan Hanbury Pierre Jannin Henning Müller Sinan Onogur	3
+ PDF Chat	Automated brain extraction of multisequence MRI using artificial neural networks	2019	Fabian Isensee Marianne Schell Irada Pflueger Gianluca Brugnara David Bonekamp Ulf Neuberger Antje Wick Heinz‐Peter Schlemmer Sabine Heiland Wolfgang Wick	3
+ PDF Chat	An Overview of Deep Learning Based Methods for Unsupervised and Semi-Supervised Anomaly Detection in Videos	2018	Bangalore Ravi Kiran Dilip Mathew Thomas Ranjith Parakkal	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+ PDF Chat	CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	2020	Ali Emre Kavur Naciye Sinem Gezer Mustafa Barış Sinem Aslan Pierre-Henri Conze Vladimir Groza Duc Duy Pham Soumick Chatterjee Philipp Ernst Savaş Özkan	3
+	Common Limitations of Image Processing Metrics: A Picture Story	2021	Annika Reinke Matthias Eisenmann Minu D. Tizabi Carole H. Sudre Tim Rädsch Michela Antonelli Tal Arbel Spyridon Bakas M. Jorge Cardoso Veronika Cheplygina	3
+	nnU-Net: Breaking the Spell on Successful Medical Image Segmentation.	2019	Fabian Isensee Jens Petersen Simon Kohl Paul F. Jäger Klaus H. Maier‐Hein	3
+ PDF Chat	Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery	2017	Thomas Schlegl Philipp Seeböck Sebastian M. Waldstein Ursula Schmidt‐Erfurth Georg Langs	3
+	2017 Robotic Instrument Segmentation Challenge.	2019	Max Allan Alexey A. Shvets Thomas Kurmann Zichen Zhang Rahul Duggal Yun-Hsuan Su Nicola Rieke Iro Laina Niveditha Kalavakonda Sebastian Bodenstedt	3
+ PDF Chat	The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation	2017	Simon Jégou Michal Drozdzal David Vázquez Adriana Romero Yoshua Bengio	3
+	AND: Autoregressive Novelty Detectors.	2018	Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara	3
+	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	3
+	Learning models for visual 3D localization with implicit mapping	2018	Dan Rosenbaum Frederic Besse Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami	3
+	Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient	2021	Florian Kofler Ivan Ezhov Fabian Isensee Fabian Balsiger Christoph Berger Maximilian Koerner Beatrice Demiray Julia Rackerseder Johannes C. Paetzold Hongwei Li	3