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ORCIDKlaus H. Maier-Hein
Klaus Hermann Maier-Hein – Klaus H. Fritzsche
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- affiliation: German Cancer Research Center, Heidelberg, Germany
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Journal Articles
- 2023
[j39]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023)- 2022
- [j38]Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Leonardo Ayala, Jan Siad El Barbari, Eric Mandelka, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
C-arm positioning for standard projections during spinal implant placement. Medical Image Anal. 81: 102557 (2022) - [j37]Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru:
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. 82: 102605 (2022) - [j36]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:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - 2021
- [j35]Sarina Thomas, Lisa Kausch, Holger Kunze, Maxim Privalov, André Klein, Jan Siad El Barbari, Celia Martín Vicario, Jochen Franke, Klaus H. Maier-Hein:
Computer-assisted contralateral side comparison of the ankle joint using flat panel technology. Int. J. Comput. Assist. Radiol. Surg. 16(5): 767-777 (2021) - [j34]Lisa Kausch, Sarina Thomas, Holger Kunze, Maxim Privalov, Sven Yves Vetter, Jochen Franke, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Correction to: Toward automatic C‑arm positioning for standard projections in orthopedic surgery. Int. J. Comput. Assist. Radiol. Surg. 16(9): 1637 (2021) - [j33]Andreas K. Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
IJCARS: BVM 2021 special issue. Int. J. Comput. Assist. Radiol. Surg. 16(12): 2067-2068 (2021) - [j32]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) - [j31]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) - [j30]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, 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. Medical Image Anal. 69: 101950 (2021) - [j29]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-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) - [j28]Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf:
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage 238: 118216 (2021) - [j27]Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - 2020
- [j26]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) - [j25]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. 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. npj Digit. Medicine 3 (2020) - 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) - 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 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) - 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) - 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) - 2015
- [j8]Peter F. Neher, Maxime Descoteaux, Jean-Christophe Houde, Bram Stieltjes, Klaus H. Maier-Hein:
Strengths and weaknesses of state of the art fiber tractography pipelines - A comprehensive in-vivo and phantom evaluation study using Tractometer. Medical Image Anal. 26(1): 287-305 (2015) - 2014
- [j7]Caspar J. Goch, Bram Stieltjes, Romy Henze, Jan Hering, Luise Poustka, Hans-Peter Meinzer, Klaus H. Maier-Hein:
Quantification of changes in language-related brain areas in autism spectrum disorders using large-scale network analysis. Int. J. Comput. Assist. Radiol. Surg. 9(3): 357-365 (2014) - [j6]Michael Bach, Frederik B. Laun, Alexander Leemans, Chantal M. W. Tax, Geert Jan Biessels, Bram Stieltjes, Klaus H. Maier-Hein:
Methodological considerations on tract-based spatial statistics (TBSS). NeuroImage 100: 358-369 (2014) - 2013
- [j5]Marco Nolden, Sascha Zelzer, Alexander Seitel, Diana Wald, Michael Müller, Alfred M. Franz, Daniel Maleike, Markus Fangerau, Matthias Baumhauer, Lena Maier-Hein, Klaus H. Maier-Hein, Hans-Peter Meinzer, Ivo Wolf:
The Medical Imaging Interaction Toolkit: challenges and advances. Int. J. Comput. Assist. Radiol. Surg. 8(4): 607-620 (2013) - 2010
- [j4]Klaus H. Fritzsche, Bram Stieltjes, Sarah Schlindwein, Thomas van Bruggen, Marco Essig, Hans-Peter Meinzer:
Automated MR morphometry to predict Alzheimer's disease in mild cognitive impairment. Int. J. Comput. Assist. Radiol. Surg. 5(6): 623-632 (2010) - [j3]Daniel Stein, Klaus H. Fritzsche, Marco Nolden, Hans-Peter Meinzer, Ivo Wolf:
The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK). Comput. Methods Programs Biomed. 100(1): 79-86 (2010) - [j2]Klaus H. Fritzsche, Frederik B. Laun, Hans-Peter Meinzer, Bram Stieltjes:
Opportunities and pitfalls in the quantification of fiber integrity: What can we gain from Q-ball imaging? NeuroImage 51(1): 242-251 (2010) - 2008
- [j1]Klaus H. Fritzsche, Aldo von Wangenheim, Daniel Duarte Abdala, Hans-Peter Meinzer:
A computational method for the estimation of atrophic changes in Alzheimer's disease and mild cognitive impairment. Comput. Medical Imaging Graph. 32(4): 294-303 (2008)
Conference and Workshop Papers
- 2024
- [c117]Gianluca Brugnara, Michael Baumgartner, Edwin D. Scholze, Katerina Deike-Hofmann, Klaus Kades, Jonas Scherer, Stefan Denner, Hagen Meredig, Aditya Rastogi, Mustafa A. Mahmutoglu, Christian Ulfert, Ulf Neuberger, Silvia Schönenberger, Kai Schlamp, Zeynep Bendella, Thomas Pinetz, Carsten Schmeel, Wolfgang Wick, Peter A. Ringleb, Ralf Floca, Markus Möhlenbruch, Alexander Radbruch, Martin Bendszus, Klaus H. Maier-Hein, Philipp Vollmuth:
Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke. Bildverarbeitung für die Medizin 2024: 9 - [c116]Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein:
Abstract: Multi-dataset Approach to Medical Image Segmentation - MultiTalent. Bildverarbeitung für die Medizin 2024: 78 - [c115]Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein:
Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt. Bildverarbeitung für die Medizin 2024: 79 - [c114]Lucas Kulla, Philipp Schader, Klaus H. Maier-Hein, Marco Nolden:
Harmonized Import of Clinical Research Data for the Open Source Image Analysis Platform Kaapana. Bildverarbeitung für die Medizin 2024: 102-107 - [c113]Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jäger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Görtz, Viktoria Schütz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein:
Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection. Bildverarbeitung für die Medizin 2024: 114 - [c112]Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein:
Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD. Bildverarbeitung für die Medizin 2024: 115 - [c111]Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heußel, Tobias Norajitra:
Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance. Bildverarbeitung für die Medizin 2024: 129 - [c110]Maximilian Fischer, Peter Neher, Peter Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. Bildverarbeitung für die Medizin 2024: 158 - [c109]Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein:
Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement. Bildverarbeitung für die Medizin 2024: 219 - [c108]Dimitrios Bounias, Michael Baumgartner, Peter Neher, Balint Kovacs, Ralf Floca, Paul F. Jaeger, Lorenz A. Kapsner, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Klaus H. Maier-Hein, Sebastian Bickelhaupt:
Abstract: Object Detection for Breast Diffusion-weighted Imaging. Bildverarbeitung für die Medizin 2024: 334 - [c107]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive. Bildverarbeitung für die Medizin 2024: 335 - [c106]Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein:
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. WACV 2024: 799-807 - 2023
- [c105]Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Leonardo Ayala, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: C-arm Positioning for Standard Projections During Spinal Implant Placement. Bildverarbeitung für die Medizin 2023: 10 - [c104]Fabian Isensee, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein:
Extending nnU-Net Is All You Need. Bildverarbeitung für die Medizin 2023: 12-17 - [c103]Klaus Kades, Jonas Scherer, Maximilian Zenk, Marius Kempf, Klaus H. Maier-Hein:
Abstract: Towards Real-world Federated Learning in Medical Image Analysis using Kaapana. Bildverarbeitung für die Medizin 2023: 140 - [c102]Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein:
Taming Detection Transformers for Medical Object Detection. Bildverarbeitung für die Medizin 2023: 183-188 - [c101]Irada Pflüger, Tassilo Wald, Fabian Isensee, Marianne Schell, Hagen Meredig, Kai Schlamp, Denise Bernhardt, Gianluca Brugnara, Claus Peter Heußel, Juergen Debus, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein, Philipp Vollmuth:
Abstract: Automated Detection and Quantification of Brain Metastases on Clinical MRI Data using CNNs. Bildverarbeitung für die Medizin 2023: 196 - [c100]Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models. Bildverarbeitung für die Medizin 2023: 245 - [c99]Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
Contrastive Representations for Unsupervised Anomaly Detection and Localization. Bildverarbeitung für die Medizin 2023: 246-252 - [c98]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:
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c97]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 Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, 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 Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-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, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c96]Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein:
cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations. MICCAI (5) 2023: 33-43 - [c95]Stefan Denner, Jonas Scherer, Klaus Kades, Dimitrios Bounias, Philipp Schader, Lisa Kausch, Markus Bujotzek, Andreas Michael Bucher, Tobias Penzkofer, Klaus H. Maier-Hein:
Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications. DEMI@MICCAI 2023: 46-55 - [c94]Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heussel, Tobias Norajitra:
RPTK: The Role of Feature Computation on Prediction Performance. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 113-122 - [c93]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning. MICCAI (8) 2023: 237-246 - [c92]Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. MICCAI (4) 2023: 405-415 - [c91]Lisa Kausch, Sarina Thomas, Holger Kunze, Jan Siad El Barbari, Klaus H. Maier-Hein:
Shape-Based Pose Estimation for Automatic Standard Views of the Knee. MICCAI (7) 2023: 476-486 - [c90]Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jäger, 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:
Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection. MICCAI (7) 2023: 531-540 - [c89]Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein:
MultiTalent: A Multi-dataset Approach to Medical Image Segmentation. MICCAI (3) 2023: 648-658 - [c88]Maximilian Fischer, Peter Neher, Peter Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. MLMI@MICCAI (2) 2023: 427-436 - 2022
- [c87]David Zimmerer, Daniel Paech, Carsten T. Lüth, Jens Petersen, Gregor Köhler, Klaus H. Maier-Hein:
Unsupervised Anomaly Detection in the Wild. Bildverarbeitung für die Medizin 2022: 26-31 - [c86]Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein:
Abstract: nnDetection - A Self-configuring Method for Medical Object Detection. Bildverarbeitung für die Medizin 2022: 50 - [c85]Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: C-arm Positioning for Spinal Standard Projections in Different Intra-operative Settings. Bildverarbeitung für die Medizin 2022: 127 - [c84]Maximilian Fischer, Philipp Schader, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Wilko Weichert, Peter Schüffler, Jens Kleesiek, Jonas Scherer, Klaus Kades, Klaus H. Maier-Hein, Marco Nolden:
DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform. Bildverarbeitung für die Medizin 2022: 273-278 - [c83]Klaus Kades, Jonas Scherer, Jan Scholtyssek, Tobias Penzkofer, Marco Nolden, Klaus H. Maier-Hein:
Efficient DICOM Image Tagging and Cohort Curation Within Kaapana. Bildverarbeitung für die Medizin 2022: 279-284 - [c82]Maximilian Zenk, David Zimmerer, Fabian Isensee, Paul F. Jäger, Jakob Wasserthal, Klaus H. Maier-Hein:
Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks. Bildverarbeitung für die Medizin 2022: 291-296 - [c81]Constantin Marc Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. BMVC 2022: 58 - [c80]Maximilian Fischer, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. MOVI@MICCAI 2022: 73-83 - [c79]Michael Baumgartner, Peter M. Full, Klaus H. Maier-Hein:
Accurate Detection of Mediastinal Lesions with nnDetection. CuRIOUS/KiPA/MELA@MICCAI 2022: 79-85 - [c78]Gregor Köhler, Fabian Isensee, Klaus H. Maier-Hein:
A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation. FLARE@MICCAI 2022: 128-138 - [c77]Klaus Kades, Jonas Scherer, Maximilian Zenk, Marius Kempf, Klaus H. Maier-Hein:
Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana. DeCaF/FAIR@MICCAI 2022: 130-140 - 2021
- [c76]Jonas Scherer, Marco Nolden, Jens Kleesiek, Jasmin Metzger, Klaus Kades, Verena Schneider, Hanno Gao, Peter 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 - [c75]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 - [c74]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 - [c73]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 - [c72]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:
Continuous-Time Deep Glioma Growth Models. MICCAI (3) 2021: 83-92 - [c71]Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
C-Arm Positioning for Spinal Standard Projections in Different Intra-operative Settings. MICCAI (4) 2021: 352-362 - [c70]Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein:
nnDetection: A Self-configuring Method for Medical Object Detection. MICCAI (5) 2021: 530-539 - [c69]Lisa Kausch, Moritz Scherer, Sarina Thomas, André Klein, Fabian Isensee, Klaus H. Maier-Hein:
Automatic image-based pedicle screw planning. Medical Imaging: Image-Guided Procedures 2021 - [c68]Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data. UAI 2021: 939-949 - 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 - 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 Köhler, 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 - 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 - 2017
- [c42]Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter 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 - 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
- [c27]Jan Hering, Ivo Wolf, Tawfik Moher Alsady, Hans-Peter Meinzer, Klaus H. Maier-Hein:
A Memetic Search Scheme for Robust Registration of Diffusion-Weighted MR Images. Bildverarbeitung für die Medizin 2015: 113-118 - [c26]Patrick Philipp, Maria Maleshkova, Michael Götz, Christian Weber, Benedikt Kämpgen, Sascha Zelzer, Klaus H. Maier-Hein, Miriam Klauß, Achim Rettinger:
Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien. Bildverarbeitung für die Medizin 2015: 263-268 - [c25]Christian Weber, Michael Götz, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
Überwachtes Lernen zur Prädiktion von Tumorwachstum. Bildverarbeitung für die Medizin 2015: 473-478 - [c24]Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis. Bildverarbeitung für die Medizin 2015: 486-491 - [c23]Eric Heim, Tobias Roß, Tobias Norajitra, Marco Nolden, Keno März, Daniel Kondermann, Stefanie Speidel, Klaus H. Maier-Hein, Lena Maier-Hein:
Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen. CURAC 2015: 37-42 - [c22]Tobias Norajitra, Hans-Peter Meinzer, Klaus H. Maier-Hein:
3D statistical shape models incorporating 3D random forest regression voting for robust CT liver segmentation. Medical Imaging: Computer-Aided Diagnosis 2015: 941406 - [c21]Peter F. Neher, Michael Götz, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein:
A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. MICCAI (1) 2015: 45-52 - [c20]Michael Götz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein:
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. Brainles@MICCAI 2015: 284-295 - 2014
- [c19]Jan Hering, Peter F. Neher, Hans-Peter Meinzer, Klaus H. Maier-Hein:
Erzeugung von Referenzdaten für Kopfbewegungskorrektur in Diffusion-MRI. Bildverarbeitung für die Medizin 2014: 342-347 - [c18]Tobias Norajitra, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
Active shape models incorporating isolated landmarks for medical image annotation. Medical Imaging: Computer-Aided Diagnosis 2014: 90353J - [c17]Philipp Gemmeke, Maria Maleshkova, Patrick Philipp, Michael Götz, Christian Weber, Benedikt Kämpgen, Marco Nolden, Klaus H. Maier-Hein, Achim Rettinger:
Using Linked Data and Web APIs for Automating the Pre-processing of Medical Images. COLD 2014 - 2013
- [c16]Caspar J. Goch, Bram Stieltjes, Romy Henze, Jan Hering, Hans-Peter Meinzer, Klaus H. Fritzsche:
Quantification of Changes in Language-Related Brain Areas in Autism Spectrum Disorders Using Large-Scale Network Analysis. Bildverarbeitung für die Medizin 2013: 51-56 - [c15]Alexandra Tobisch, Peter F. Neher, Matthew C. Rowe, Klaus H. Maier-Hein, Hui Zhang:
Model-Based Super-Resolution of Diffusion MRI. CDMRI/MMBC@MICCAI 2013: 25-34 - [c14]Jan Hering, Ivo Wolf, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imaging. CDMRI/MMBC@MICCAI 2013: 35-44 - [c13]Peter F. Neher, Frederik B. Laun, Bram Stieltjes, Klaus H. Maier-Hein:
Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms. CDMRI/MMBC@MICCAI 2013: 105-113 - [c12]Caspar J. Goch, Basak Oztan, Bram Stieltjes, Romy Henze, Jan Hering, Luise Poustka, Hans-Peter Meinzer, Bülent Yener, Klaus H. Maier-Hein:
Global Changes in the Connectome in Autism Spectrum Disorders. CDMRI/MMBC@MICCAI 2013: 239-247 - 2012
- [c11]Peter F. Neher, Bram Stieltjes, Marco Reisert, Ignaz Reicht, Hans-Peter Meinzer, Klaus H. Fritzsche:
Integration eines globalen Traktographieverfahrens in das Medical Imaging Interaction Toolkit. Bildverarbeitung für die Medizin 2012: 177-182 - [c10]Peter F. Neher, Bram Stieltjes, Marco Reisert, Ignaz Reicht, Hans-Peter Meinzer, Klaus H. Fritzsche:
MITK global tractography. Medical Imaging: Image Processing 2012: 83144D - 2011
- [c9]Thomas van Bruggen, Bram Stieltjes, Hans-Peter Meinzer, Klaus H. Fritzsche:
Tract-Based Spatial Statistics of the Corpus Callosum using Different Tensor-Derived Indices. Bildverarbeitung für die Medizin 2011: 244-248 - 2010
- [c8]Klaus H. Fritzsche, Hans-Peter Meinzer:
MITK-DI. Bildverarbeitung für die Medizin 2010: 246-250 - [c7]Matthias Baumhauer, Jochen Neuhaus, Klaus H. Fritzsche, Hans-Peter Meinzer:
The MITK image guided therapy toolkit and its application for augmented reality in laparoscopic prostate surgery. Medical Imaging: Image-Guided Procedures 2010: 76251G - [c6]Klaus H. Fritzsche, Frederik B. Laun, Bram Stieltjes, Hans-Peter Meinzer:
Directional assessment of fiber integrity in Q-ball imaging. Medical Imaging: Image Processing 2010: 76231G - 2009
- [c5]Klaus H. Fritzsche, Sarah Schlindwein, Bram Stieltjes, Marco Essig, Hans-Peter Meinzer:
Vorhersage des Krankheitsverlaufes von leichten kognitiven Beeinträchtigungen durch automatisierte MRT Morphometrie. Bildverarbeitung für die Medizin 2009: 217-221 - 2008
- [c4]Klaus H. Fritzsche, Frederik L. Giesel, Philipp A. Thomann, Horst K. Hahn, Marco Essig, Hans-Peter Meinzer:
Quantifizierung neurodegenerativer Veränderungen bei der Alzheimer Krankheit. Bildverarbeitung für die Medizin 2008: 363-367 - [c3]Klaus H. Fritzsche, Frederik L. Giesel, Tobias Heimann, Philipp A. Thomann, Horst K. Hahn, Johannes Pantel, Johannes Schröder, Marco Essig, Hans-Peter Meinzer:
Neurodegenerative changes in Alzheimer's disease: a comparative study of manual, semi-automated, and fully automated assessment using MRI. Medical Imaging: Computer-Aided Diagnosis 2008: 69151V - [c2]Stefan Dänzer, Klaus H. Fritzsche:
A simulator for surgery training: optimal sensory stimuli in a bone pinning simulation. Medical Imaging: Image-Guided Procedures 2008: 69181O - 2006
- [c1]Klaus H. Fritzsche, Aldo von Wangenheim, Rüdiger Dillmann, Roland Unterhinninghofen:
Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimer's Disease. CBMS 2006: 191-196
Parts in Books or Collections
- 2014
- [p1]Ofer Pasternak, Klaus H. Maier-Hein, Christian F. Baumgartner, Martha Elizabeth Shenton, Yogesh Rathi, Carl-Fredrik Westin:
The Estimation of Free-Water Corrected Diffusion Tensors. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data 2014: 249-270
Editorship
- 2024
- [e8]Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024. Informatik Aktuell, Springer 2024, ISBN 978-3-658-44036-7 [contents] - 2023
- [e7]Thomas M. Deserno, Heinz Handels, Andreas K. Maier, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2023 - Proceedings, German Workshop on Medical Image Computing, Braunschweig, July 2-4, 2023. Informatik Aktuell, Springer 2023, ISBN 978-3-658-41656-0 [contents] - 2022
- [e6]Klaus H. Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022. Informatik Aktuell, Springer 2022, ISBN 978-3-658-36931-6 [contents] - 2021
- [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] - 2020
- [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] - 2019
- [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] - 2018
- [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] - 2017
- [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]
Informal and Other Publications
- 2024
- [i70]Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger:
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation. CoRR abs/2401.08501 (2024) - [i69]Stefan Denner, David Zimmerer, Dimitrios Bounias, Markus Bujotzek, Shuhan Xiao, Lisa Kausch, Philipp Schader, Tobias Penzkofer, Paul F. Jäger, Klaus H. Maier-Hein:
Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology. CoRR abs/2403.06567 (2024) - [i68]Michael Götz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein:
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. CoRR abs/2403.07428 (2024) - [i67]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. CoRR abs/2403.07434 (2024) - [i66]Katerina Deike-Hofmann, Dorottya Dancs, Daniel Paech, Heinz-Peter Schlemmer, Klaus H. Maier-Hein, Philipp Bäumer, Alexander Radbruch, Michael Götz:
Pre-examinations Improve Automated Metastases Detection on Cranial MRI. CoRR abs/2403.08280 (2024) - [i65]Karol Gotkowski, Carsten T. Lüth, Paul F. Jäger, Sebastian Ziegler, Lars Krämer, Stefan Denner, Shuhan Xiao, Nico Disch, Klaus H. Maier-Hein, Fabian Isensee:
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation. CoRR abs/2403.12834 (2024) - 2023
- [i64]Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Jens Petersen, Klaus H. Maier-Hein:
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization. CoRR abs/2301.02126 (2023) - [i63]Karol Gotkowski, Shuvam Gupta, Jose R. A. Godinho, Camila G. S. Tochtrop, Klaus H. Maier-Hein, Fabian Isensee:
[Work in progress] Scalable, out-of-the box segmentation of individual particles from mineral samples acquired with micro CT. CoRR abs/2301.13319 (2023) - [i62]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i61]Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein:
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation. CoRR abs/2303.09975 (2023) - [i60]Michael Baumgartner, Peter M. Full, Klaus H. Maier-Hein:
Accurate Detection of Mediastinal Lesions with nnDetection. CoRR abs/2303.11214 (2023) - [i59]Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein:
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation. CoRR abs/2303.14444 (2023) - [i58]Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein:
Transformer Utilization in Medical Image Segmentation Networks. CoRR abs/2304.04225 (2023) - [i57]Saikat Roy, Tassilo Wald, Gregor Köhler, Maximilian R. Rokuss, Nico Disch, Julius Holzschuh, David Zimmerer, Klaus H. Maier-Hein:
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model. CoRR abs/2304.05396 (2023) - [i56]Lisa Kausch, Sarina Thomas, Holger Kunze, Jan Siad El Barbari, Klaus H. Maier-Hein:
Shape-based pose estimation for automatic standard views of the knee. CoRR abs/2305.16717 (2023) - [i55]Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
atTRACTive: Semi-automatic white matter tract segmentation using active learning. CoRR abs/2305.18905 (2023) - [i54]Marc K. Ickler, Michael Baumgartner, Saikat Roy, Tassilo Wald, Klaus H. Maier-Hein:
Taming Detection Transformers for Medical Object Detection. CoRR abs/2306.15472 (2023) - [i53]Tassilo Wald, Constantin Ulrich, Fabian Isensee, David Zimmerer, Gregor Köhler, Michael Baumgartner, Klaus H. Maier-Hein:
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency. CoRR abs/2307.02516 (2023) - [i52]Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jaeger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein:
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations. CoRR abs/2307.07254 (2023) - [i51]Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jaeger, 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:
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection. CoRR abs/2309.03652 (2023) - [i50]Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein:
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. CoRR abs/2309.07513 (2023) - [i49]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. CoRR abs/2309.13747 (2023) - [i48]Stefan Denner, Jonas Scherer, Klaus Kades, Dimitrios Bounias, Philipp Schader, Lisa Kausch, Markus Bujotzek, Andreas Michael Bucher, Tobias Penzkofer, Klaus H. Maier-Hein:
Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications. CoRR abs/2309.17285 (2023) - [i47]Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang:
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. CoRR abs/2312.09576 (2023) - 2022
- [i46]Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah J. Sheller, Hans Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus H. Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier E. Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña Quintero, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, et al.:
Federated Learning Enables Big Data for Rare Cancer Boundary Detection. CoRR abs/2204.10836 (2022) - [i45]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i44]Fabian Isensee, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein:
Extending nnU-Net is all you need. CoRR abs/2208.10791 (2022) - [i43]Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. CoRR abs/2210.03416 (2022) - [i42]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - 2021
- [i41]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) - [i40]Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern H. Menze, Klaus H. Maier-Hein, Spyridon Bakas:
The Federated Tumor Segmentation (FeTS) Challenge. CoRR abs/2105.05874 (2021) - [i39]Michael Baumgartner, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
nnDetection: A Self-configuring Method for Medical Object Detection. CoRR abs/2106.00817 (2021) - [i38]Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data. CoRR abs/2106.04967 (2021) - [i37]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:
Continuous-Time Deep Glioma Growth Models. CoRR abs/2106.12917 (2021) - 2020
- [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 A. 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 Mîndroc-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) - 2019
- [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
- [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 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 Köhler, 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
- [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)
Coauthor Index
Thomas M. Deserno
aka: Thomas Martin Deserno
aka: Thomas Martin Deserno
[j39] [j37] [j36] [j32] [j31] [j30] [j29] [j20] [j17] [j15] [c116] [c115] [c113] [c109] [c106] [c104] [c101] [c99] [c98] [c97] [c92] [c90] [c89] [c86] [c82] [c78] [c73] [c72] [c70] [c69] [c68] [c66] [c65] [c64] [c63] [c61] [c59] [c57] [c56] [c55] [c54] [c50] [c44] [c42] [c41] [c37] [c35] [i65] [i64] [i63] [i62] [i61] [i59] [i58] [i53] [i51] [i50] [i49] [i45] [i44] [i41] [i39] [i38] [i37] [i36] [i34] [i33] [i32] [i31] [i28] [i27] [i25] [i24] [i22] [i20] [i18] [i17] [i10] [i9] [i8] [i7] [i4] [i3] [i2]
[j39] [j36] [j28] [j15] [c115] [c113] [c112] [c109] [c108] [c106] [c99] [c98] [c97] [c96] [c92] [c90] [c86] [c82] [c73] [c72] [c70] [c68] [c65] [c64] [c63] [c61] [c58] [c56] [c55] [c54] [c51] [c45] [c37] [c33] [i70] [i69] [i65] [i64] [i62] [i61] [i52] [i51] [i50] [i45] [i42] [i41] [i39] [i38] [i37] [i32] [i31] [i27] [i24] [i23] [i11] [i9] [i8] [i5] [i3]
Simon Kohl
aka: Simon A. A. Kohl
aka: Simon A. A. Kohl
Peter Neher
aka: Peter F. Neher
aka: Peter F. Neher
Philipp Vollmuth
aka: Philipp Kickingereder
aka: Philipp Kickingereder
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