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Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI

Nov 15, 2020
Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus Maier-Hein

* 12 pages, 3 Figures, Contribution to the STACOM Workshop at MICCAI 2020 

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nnU-Net for Brain Tumor Segmentation

Nov 02, 2020
Fabian Isensee, Paul F. Jaeger, Peter M. Full, Philipp Vollmuth, Klaus H. Maier-Hein


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OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images

Apr 27, 2020
Fabian Isensee, Klaus H. Maier-Hein


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Robust Medical Instrument Segmentation Challenge 2019

Mar 23, 2020
Tobias Ross, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mindroc Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo-Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtac, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein

* A pre-print 

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CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

Jan 17, 2020
A. Emre Kavur, N. Sinem Gezer, Mustafa Barış, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savaş Özkan, Bora Baydar, Dmitry Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde Bozdağı Akar, Gözde Ünal, Oğuz Dicle, M. Alper Selver

* 10 pages, 2 figures 

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The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

Dec 02, 2019
Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zach Edgerton, Ranveer Vasdev, Matthew Peterson, Sean McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos

* 18 pages, 7 figures 

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ModelHub.AI: Dissemination Platform for Deep Learning Models

Nov 26, 2019
Ahmed Hosny, Michael Schwier, Christoph Berger, Evin P Örnek, Mehmet Turan, Phi V Tran, Leon Weninger, Fabian Isensee, Klaus H Maier-Hein, Richard McKinley, Michael T Lu, Udo Hoffmann, Bjoern Menze, Spyridon Bakas, Andriy Fedorov, Hugo JWL Aerts


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An attempt at beating the 3D U-Net

Aug 06, 2019
Fabian Isensee, Klaus H. Maier-Hein


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Unsupervised Anomaly Localization using Variational Auto-Encoders

Jul 11, 2019
David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus Maier-Hein


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Deep Probabilistic Modeling of Glioma Growth

Jul 09, 2019
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

* MICCAI 2019 

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

Apr 17, 2019
Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Paul F. Jäger, Klaus H. Maier-Hein


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Automated brain extraction of multi-sequence MRI using artificial neural networks

Jan 31, 2019
Fabian Isensee, Marianne Schell, Irada Tursunova, Gianluca Brugnara, David Bonekamp, Ulf Neuberger, Antje Wick, Heinz-Peter Schlemmer, Sabine Heiland, Wolfgang Wick, Martin Bendszus, Klaus Hermann Maier-Hein, Philipp Kickingereder


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Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection

Dec 14, 2018
David Zimmerer, Simon A. A. Kohl, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein


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

Nov 21, 2018
Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein


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

Sep 27, 2018
Fabian Isensee, Jens Petersen, Andre Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Koehler, Tobias Norajitra, Sebastian Wirkert, Klaus H. Maier-Hein


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No New-Net

Sep 27, 2018
Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein


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Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

Feb 28, 2018
Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein


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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

Jan 31, 2018
Tobias Ross, David Zimmerer, Anant Vemuri, Fabian Isensee, Manuel Wiesenfarth, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Annette Kopp-Schneider, Klaus Maier-Hein, Lena Maier-Hein


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

Jan 25, 2018
Fabian Isensee, Paul Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein

* To appear in the STACOM 2017 proceedings 

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Clickstream analysis for crowd-based object segmentation with confidence

Nov 29, 2017
Eric Heim, Alexander Seitel, Jonas Andrulis, Fabian Isensee, Christian Stock, Tobias Ross, Lena Maier-Hein

* to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 

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Direct White Matter Bundle Segmentation using Stacked U-Nets

Mar 06, 2017
Jakob Wasserthal, Peter F. Neher, Fabian Isensee, Klaus H. Maier-Hein


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