Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDKlaus H. Maier-Hein
Klaus Hermann Maier-Hein – Klaus H. Fritzsche
Person information
- affiliation: German Cancer Research Center, Heidelberg, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j28]Bjoern H. Menze, Fabian Isensee, Roland Wiest, Benedikt Wiestler, Klaus H. Maier-Hein, Mauricio Reyes, Spyridon Bakas:
Analyzing magnetic resonance imaging data from glioma patients using deep learning. Comput. Medical Imaging Graph. 88: 101828 (2021)- [j27]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, Christopher Weight:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Anal. 67: 101821 (2021) - [j26]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 Kirtaç, 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, Guotai 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:
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Anal. 70: 101920 (2021) - [c71]Jonas Scherer, Marco Nolden, Jens Kleesiek, Jasmin Metzger, Klaus Kades, Verena Schneider, Hanno Gao, Peter F. Neher, Ralf Floca, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Abstract: Joint Imaging Platform for Federated Clinical Data Analytics. Bildverarbeitung für die Medizin 2021: 127 - [c70]Michael Götz, Klaus H. Maier-Hein:
Abstract: Data Augmentation for Information Transfer - Why Controlling for Confounding Effects in Radiomic Studies is Important and How to do it. Bildverarbeitung für die Medizin 2021: 140 - [c69]Lisa Kausch, Sarina Thomas, Holger Kunze, Maxim Privalov, Sven Yves Vetter, Jochen Franke, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: Towards Automatic C-arm Positioning for Standard Projections in Orthopedic Surgery. Bildverarbeitung für die Medizin 2021: 171 - [c68]Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
Abstract: Studying Robustness of Semantic Segmentation under Domain Shift in Cardiac MRI. Bildverarbeitung für die Medizin 2021: 269 - [e5]Christoph Palm, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2021 - Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Informatik Aktuell, Springer 2021, ISBN 978-3-658-33197-9 [contents] - [i37]Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein:
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - 2020
- [j25]Lisa Kausch, Sarina Thomas, Holger Kunze, Maxim Privalov, Sven Yves Vetter, Jochen Franke, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Toward automatic C-arm positioning for standard projections in orthopedic surgery. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1095-1105 (2020) - [c67]Ina Kompan, Charlotte Debus, Michael Ingrisch, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden, Ralf Floca:
Abstract: MITK-ModelFit. Bildverarbeitung für die Medizin 2020: 81 - [c66]David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders. Bildverarbeitung für die Medizin 2020: 199 - [c65]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:
Abstract: Deep Probabilistic Modeling of Glioma Growth. Bildverarbeitung für die Medizin 2020: 215 - [c64]Fabian Isensee, Paul F. Jäger, Peter M. Full, Philipp Vollmuth, Klaus H. Maier-Hein:
nnU-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 118-132 - [c63]Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI 2020: 238-249 - [e4]Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas K. Maier, Klaus H. Maier-Hein, Christoph Palm:
Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 15. bis 17. März 2020 in Berlin. Informatik Aktuell, Springer 2020, ISBN 978-3-658-29266-9 [contents] - [i36]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas 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 B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020) - [i35]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The Future of Digital Health with Federated Learning. CoRR abs/2003.08119 (2020) - [i34]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 Kirtaç, 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, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein:
Robust Medical Instrument Segmentation Challenge 2019. CoRR abs/2003.10299 (2020) - [i33]Fabian Isensee, Klaus H. Maier-Hein:
OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images. CoRR abs/2004.12668 (2020) - [i32]Fabian Isensee, Paul F. Jaeger, Peter M. Full, Philipp Vollmuth, Klaus H. Maier-Hein:
nnU-Net for Brain Tumor Segmentation. CoRR abs/2011.00848 (2020) - [i31]Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI. CoRR abs/2011.07592 (2020) - [i30]Darya Trofimova, Tim Adler, Lisa Kausch, Lynton Ardizzone, Klaus H. Maier-Hein, Ullrich Köthe, Carsten Rother, Lena Maier-Hein:
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks. CoRR abs/2012.08195 (2020)
2010 – 2019
- 2019
- [j24]Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden:
MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI. BMC Bioinform. 20(1): 31:1-31:18 (2019) - [j23]Andreas K. Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Guest editorial of the IJCARS - BVM 2018 special issue. Int. J. Comput. Assist. Radiol. Surg. 14(1): 1-2 (2019) - [j22]André Klein, Jan Warszawski, Jens Hillengaß, Klaus H. Maier-Hein:
Automatic bone segmentation in whole-body CT images. Int. J. Comput. Assist. Radiol. Surg. 14(1): 21-29 (2019) - [j21]Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
IJCARS: BVM 2019 special issue. Int. J. Comput. Assist. Radiol. Surg. 14(11): 1823-1824 (2019) - [j20]Sarina Thomas, Fabian Isensee, Simon Kohl, Maxim Privalov, Nils Beisemann, Benedict Swartman, Holger Keil, Sven Yves Vetter, Jochen Franke, Paul Alfred Grützner, Lena Maier-Hein, Marco Nolden, Klaus H. Maier-Hein:
Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2211-2220 (2019) - [j19]Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein:
Combined tract segmentation and orientation mapping for bundle-specific tractography. Medical Image Anal. 58 (2019) - [j18]Francois Rheault, Etienne St-Onge, Jasmeen Sidhu, Klaus H. Maier-Hein, Nathalie Tzourio-Mazoyer, Laurent Petit, Maxime Descoteaux:
Bundle-specific tractography with incorporated anatomical and orientational priors. NeuroImage 186: 382-398 (2019) - [c62]Peter F. Neher, Bram Stieltjes, Klaus H. Maier-Hein:
Abstract: Anchor-Constrained Plausibility - A Novel Concept for Assessing Tractography and Reducing False-Positives. Bildverarbeitung für die Medizin 2019: 1 - [c61]Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Koehler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein:
Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. Bildverarbeitung für die Medizin 2019: 22 - [c60]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Abstract: Tract Orientation Mapping for Bundle-Specific Tractography. Bildverarbeitung für die Medizin 2019: 30 - [c59]Tobias Stein, Jasmin Metzger, Jonas Scherer, Fabian Isensee, Tobias Norajitra, Jens Kleesiek, Klaus H. Maier-Hein, Marco Nolden:
Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images. Bildverarbeitung für die Medizin 2019: 158-163 - [c58]Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein:
Reg R-CNN: Lesion Detection and Grading Under Noisy Labels. UNSURE/CLIP@MICCAI 2019: 33-41 - [c57]David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Unsupervised Anomaly Localization Using Variational Auto-Encoders. MICCAI (4) 2019: 289-297 - [c56]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:
Deep Probabilistic Modeling of Glioma Growth. MICCAI (2) 2019: 806-814 - [c55]Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. ML4H@NeurIPS 2019: 171-183 - [e3]Heinz Handels, Thomas M. Deserno, Andreas K. Maier, Klaus Hermann Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck. Informatik Aktuell, Springer Vieweg 2019, ISBN 978-3-658-25325-7 [contents] - [i29]Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein:
Combined tract segmentation and orientation mapping for bundle-specific tractography. CoRR abs/1901.10271 (2019) - [i28]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:
Automated brain extraction of multi-sequence MRI using artificial neural networks. CoRR abs/1901.11341 (2019) - [i27]Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Paul F. Jäger, Klaus H. Maier-Hein:
nnU-Net: Breaking the Spell on Successful Medical Image Segmentation. CoRR abs/1904.08128 (2019) - [i26]Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger:
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities. CoRR abs/1905.13077 (2019) - [i25]David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Unsupervised Anomaly Localization using Variational Auto-Encoders. CoRR abs/1907.02796 (2019) - [i24]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:
Deep Probabilistic Modeling of Glioma Growth. CoRR abs/1907.04064 (2019) - [i23]Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein:
Reg R-CNN: Lesion Detection and Grading under Noisy Labels. CoRR abs/1907.12915 (2019) - [i22]Fabian Isensee, Klaus H. Maier-Hein:
An attempt at beating the 3D U-Net. CoRR abs/1908.02182 (2019) - [i21]David Zimmerer, Jens Petersen, Klaus H. Maier-Hein:
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection. CoRR abs/1911.12161 (2019) - [i20]Ahmed Hosny, Michael Schwier, Christoph Berger, Evin Pinar Örnek, Mehmet Turan, Phi V. Tran, Leon Weninger, Fabian Isensee, Klaus H. Maier-Hein, Richard McKinley, Michael T. Lu, Udo Hoffmann, Bjoern H. Menze, Spyridon Bakas, Andriy Fedorov, Hugo J. W. L. Aerts:
ModelHub.AI: Dissemination Platform for Deep Learning Models. CoRR abs/1911.13218 (2019) - [i19]David Zimmerer, Jens Petersen, Simon A. A. Kohl, Klaus H. Maier-Hein:
A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients. CoRR abs/1912.00003 (2019) - [i18]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, Zachary Edgerton, Ranveer Vasdev, Matthew Peterson, Seán McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. CoRR abs/1912.01054 (2019) - 2018
- [j17]Tobias Roß, David Zimmerer, Anant Suraj Vemuri, Fabian Isensee, Manuel Wiesenfarth, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Annette Kopp-Schneider, Klaus H. Maier-Hein, Lena Maier-Hein:
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. Int. J. Comput. Assist. Radiol. Surg. 13(6): 925-933 (2018) - [j16]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
TractSeg - Fast and accurate white matter tract segmentation. NeuroImage 183: 239-253 (2018) - [j15]Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jaeger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [c54]Paul Jäger, Fabian Isensee, Jens Petersen, David Zimmerer, Jakob Wasserthal, Klaus Hermann Maier-Hein:
Advanced Deep Learning Methods. Bildverarbeitung für die Medizin 2018: 6 - [c53]Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Marco Nolden, Caspar J. Goch, Klaus Hermann Maier-Hein:
Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing. Bildverarbeitung für die Medizin 2018: 22 - [c52]Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia, Michael Götz, Benjamin F. B. Mayer, Klaus Hermann Maier-Hein, Daniel S. Elson, Lena Maier-Hein:
Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed. Bildverarbeitung für die Medizin 2018: 36 - [c51]Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus Hermann Maier-Hein:
Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. Bildverarbeitung für die Medizin 2018: 73 - [c50]Dominik Waibel, Janek Gröhl, Fabian Isensee, Klaus Hermann Maier-Hein, Lena Maier-Hein:
Abstract: Rekonstruktion der initialen Druckverteilung photoakustischer Bilder mit limitiertem Blickwinkel durch maschinelle Lernverfahren. Bildverarbeitung für die Medizin 2018: 201 - [c49]André Klein, Jan Warszawski, Jens Hillengaß, Klaus Hermann Maier-Hein:
Towards Whole-body CT Bone Segmentation. Bildverarbeitung für die Medizin 2018: 204-209 - [c48]Caspar J. Goch, Jasmin Metzger, Martin Hettich, André Klein, Tobias Norajitra, Michael Götz, Jens Petersen, Klaus H. Maier-Hein, Marco Nolden:
Automated Containerized Medical Image Processing Based on MITK and Python - A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data. Bildverarbeitung für die Medizin 2018: 315 - [c47]Peter F. Neher, Bram Stieltjes, Klaus H. Maier-Hein:
Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives. MICCAI (3) 2018: 20-27 - [c46]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Tract Orientation Mapping for Bundle-Specific Tractography. MICCAI (3) 2018: 36-44 - [c45]Jennifer Kamphenkel, Paul F. Jäger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Stefan Delorme, Heinz-Peter Schlemmer, Franziska König, Klaus H. Maier-Hein:
Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images. RAMBO+BIA+TIA@MICCAI 2018: 73-80 - [c44]Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein:
No New-Net. BrainLes@MICCAI (2) 2018: 234-244 - [c43]Simon Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger:
A Probabilistic U-Net for Segmentation of Ambiguous Images. NeurIPS 2018: 6965-6975 - [e2]Andreas K. Maier, Thomas M. Deserno, Heinz Handels, Klaus Hermann Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen. Informatik Aktuell, Springer Vieweg 2018, ISBN 978-3-662-56536-0 [contents] - [i17]Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein:
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge. CoRR abs/1802.10508 (2018) - [i16]André Klein, Jan Warszawski, Jens Hillengaß, Klaus H. Maier-Hein:
Towards whole-body CT Bone Segmentation. CoRR abs/1804.00908 (2018) - [i15]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
TractSeg - Fast and accurate white matter tract segmentation. CoRR abs/1805.07103 (2018) - [i14]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i13]Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger:
A Probabilistic U-Net for Segmentation of Ambiguous Images. CoRR abs/1806.05034 (2018) - [i12]Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein:
Tract orientation mapping for bundle-specific tractography. CoRR abs/1806.05580 (2018) - [i11]Jennifer Kamphenkel, Paul F. Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Koenig, Klaus H. Maier-Hein:
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images. CoRR abs/1807.06277 (2018) - [i10]Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein:
No New-Net. CoRR abs/1809.10483 (2018) - [i9]Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Koehler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein:
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. CoRR abs/1809.10486 (2018) - [i8]Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. CoRR abs/1811.08661 (2018) - [i7]David Zimmerer, Simon A. A. Kohl, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein:
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection. CoRR abs/1812.05941 (2018) - 2017
- [j14]Franciszek Binczyk, Bram Stjelties, Christian Weber, Michael Götz, Klaus H. Maier-Hein, Hans-Peter Meinzer, Barbara Bobek-Billewicz, Rafal Tarnawski, Joanna Polanska:
MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps. Inf. Sci. 384: 235-248 (2017) - [j13]Peter F. Neher, Marc-Alexandre Côté, Jean-Christophe Houde, Maxime Descoteaux, Klaus H. Maier-Hein:
Fiber tractography using machine learning. NeuroImage 158: 417-429 (2017) - [j12]Tobias Norajitra, Klaus H. Maier-Hein:
3D Statistical Shape Models Incorporating Landmark-Wise Random Regression Forests for Omni-Directional Landmark Detection. IEEE Trans. Medical Imaging 36(1): 155-168 (2017) - [c42]Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter F. Neher, Klaus H. Maier-Hein:
Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis. Bildverarbeitung für die Medizin 2017: 6-7 - [c41]Fabian Isensee, Philipp Kickingereder, David Bonekamp, Martin Bendszus, Wolfgang Wick, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Brain Tumor Segmentation Using Large Receptive Field Deep Convolutional Neural Networks. Bildverarbeitung für die Medizin 2017: 86-91 - [c40]Jens Petersen, Sabine Heiland, Martin Bendszus, Jürgen Debus, Klaus H. Maier-Hein:
Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI. Bildverarbeitung für die Medizin 2017: 231-236 - [c39]Michael Götz, Klaus H. Maier-Hein:
Training mit positiven und unannotierten Daten für automatische Voxelklassifikation. Bildverarbeitung für die Medizin 2017: 237-242 - [c38]Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein:
Effective user guidance in online interactive semantic segmentation. Medical Imaging: Computer-Aided Diagnosis 2017: 101341V - [c37]Fabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein:
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features. STACOM@MICCAI 2017: 120-129 - [c36]Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia, Michael Götz, Benjamin F. B. Mayer, Klaus H. Maier-Hein, Daniel S. Elson, Lena Maier-Hein:
Physiological Parameter Estimation from Multispectral Images Unleashed. MICCAI (3) 2017: 134-141 - [c35]Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein:
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge. BrainLes@MICCAI 2017: 287-297 - [c34]Philippe Poulin, Marc-Alexandre Côté, Jean-Christophe Houde, Laurent Petit, Peter F. Neher, Klaus H. Maier-Hein, Hugo Larochelle, Maxime Descoteaux:
Learn to Track: Deep Learning for Tractography. MICCAI (1) 2017: 540-547 - [c33]Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus H. Maier-Hein:
Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. MICCAI (1) 2017: 664-671 - [e1]Klaus Hermann Maier-Hein, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 12. bis 14. März 2017 in Heidelberg. Informatik Aktuell, Springer 2017, ISBN 978-3-662-54344-3 [contents] - [i6]Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus H. Maier-Hein:
Adversarial Networks for the Detection of Aggressive Prostate Cancer. CoRR abs/1702.08014 (2017) - [i5]Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus H. Maier-Hein:
Revealing Hidden Potentials of q-Space Imaging in Breast Cancer. CoRR abs/1702.08379 (2017) - [i4]Jakob Wasserthal, Peter F. Neher, Fabian Isensee, Klaus H. Maier-Hein:
Direct White Matter Bundle Segmentation using Stacked U-Nets. CoRR abs/1703.02036 (2017) - [i3]Fabian Isensee, Paul Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein:
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features. CoRR abs/1707.00587 (2017) - [i2]Tobias Roß, David Zimmerer, Anant Suraj Vemuri, Fabian Isensee, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Klaus H. Maier-Hein, Lena Maier-Hein:
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. CoRR abs/1711.09726 (2017) - [i1]Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus H. Maier-Hein:
Adversarial Networks for Prostate Cancer Detection. CoRR abs/1711.10400 (2017) - 2016
- [j11]Jens Kleesiek, Gregor Urban, Alexander Hubert, Daniel Schwarz, Klaus H. Maier-Hein, Martin Bendszus, Armin Biller:
Deep MRI brain extraction: A 3D convolutional neural network for skull stripping. NeuroImage 129: 460-469 (2016) - [j10]Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein:
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. IEEE Trans. Medical Imaging 35(1): 184-196 (2016) - [j9]Jan Hering, Ivo Wolf, Klaus H. Maier-Hein:
Multi-Objective Memetic Search for Robust Motion and Distortion Correction in Diffusion MRI. IEEE Trans. Medical Imaging 35(10): 2280-2291 (2016) - [c32]Tobias Norajitra, Sandy Engelhardt, Thomas Held, Sameer Al-Maisary, Raffaele De Simone, Hans-Peter Meinzer, Klaus H. Maier-Hein:
Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung - Segmentierung per Abstimmung. Bildverarbeitung für die Medizin 2016: 56-61 - [c31]Michael Götz, Christoph Kolb, Christian Weber, Sebastian Regnery, Klaus H. Maier-Hein:
Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern. Bildverarbeitung für die Medizin 2016: 62-67 - [c30]Michael Götz, Stephan Skornitzke, Christian Weber, Franziska Fritz, Philipp Mayer, Marco Koell, Wolfram Stiller, Klaus H. Maier-Hein:
Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection. Medical Imaging: Computer-Aided Diagnosis 2016: 97851R - [c29]Lena Maier-Hein, Tobias Roß, Janek Gröhl, Ben Glocker, Sebastian Bodenstedt, Christian Stock, Eric Heim, Michael Götz, Sebastian J. Wirkert, Hannes Kenngott, Stefanie Speidel, Klaus H. Maier-Hein:
Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence. MICCAI (2) 2016: 616-623 - [c28]Michael Götz, Eric Heim, Keno März, Tobias Norajitra, Mohammadreza Hafezi, Nassim Fard, Arianeb Mehrabi, Max Knoll, Christian Weber, Lena Maier-Hein, Klaus H. Maier-Hein:
A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data. Medical Imaging: Image Processing 2016: 97841I - 2015
- [j8]