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2020 – today
- 2023
[j4]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)- 2021
- [j3]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73: 102166 (2021) - [i14]Fabian Balsiger, Alain Jungo, Naren Akash R. J, Jianan Chen, Ivan Ezhov, Shengnan Liu, Jun Ma, Johannes C. Paetzold, Vishva Saravanan R, Anjany Sekuboyina, Suprosanna Shit, Yannick Suter, Moshood Yekini, Guodong Zeng, Markus Rempfler:
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference. CoRR abs/2103.05437 (2021) - 2020
- [c14]Raphael Ortiz, Gustavo de Medeiros, Antoine H. F. M. Peters, Prisca Liberali, Markus Rempfler:
RDCNet: Instance Segmentation with a Minimalist Recurrent Residual Network. MLMI@MICCAI 2020: 434-443 - [i13]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR abs/2001.09193 (2020) - [i12]Raphael Ortiz, Gustavo de Medeiros, Antoine H. F. M. Peters, Prisca Liberali, Markus Rempfler:
RDCNet: Instance segmentation with a minimalist recurrent residual network. CoRR abs/2010.00991 (2020)
2010 – 2019
- 2019
- [b1]Markus Rempfler:
Graph Inference in Biomedical Image Analysis. Technical University of Munich, Germany, 2019 - [c13]Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Löffler, Jan S. Kirschke, Bjoern H. Menze:
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis. MICCAI (6) 2019: 375-383 - [i11]Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i10]Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations. CoRR abs/1902.02205 (2019) - [i9]Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Löffler, Jan S. Kirschke, Bjoern H. Menze:
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis. CoRR abs/1907.09254 (2019) - 2018
- [j2]Markus Rempfler, Valentin Stierle, Konstantin Ditzel, Sanjeev Kumar, Philipp Paulitschke, Bjoern Andres, Bjoern H. Menze:
Tracing cell lineages in videos of lens-free microscopy. Medical Image Anal. 48: 147-161 (2018) - [c12]Anjany Sekuboyina, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. MICCAI (4) 2018: 649-657 - [i8]Anjany Sekuboyina, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior. CoRR abs/1804.01307 (2018) - [i7]Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.:
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR abs/1811.02629 (2018) - 2017
- [c11]Markus Rempfler, Jan-Hendrik Lange, Florian Jug, Corinna Blasse, Eugene W. Myers, Bjoern H. Menze, Bjoern Andres:
Efficient Algorithms for Moral Lineage Tracing. ICCV 2017: 4705-4714 - [c10]Markus Rempfler, Sanjeev Kumar, Valentin Stierle, Philipp Paulitschke, Bjoern Andres, Bjoern H. Menze:
Cell Lineage Tracing in Lens-Free Microscopy Videos. MICCAI (2) 2017: 3-11 - [c9]Markus Rempfler, Bjoern Andres, Bjoern H. Menze:
Uncertainty Estimation in Vascular Networks. GRAIL/MFCA/MICGen@MICCAI 2017: 42-52 - [c8]Giles Tetteh, Markus Rempfler, Claus Zimmer, Bjoern H. Menze:
Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction. MLMI@MICCAI 2017: 344-352 - [i6]Markus Rempfler, Jan-Hendrik Lange, Florian Jug, Corinna Blasse, Eugene W. Myers, Bjoern H. Menze, Bjoern Andres:
Efficient Algorithms for Moral Lineage Tracing. CoRR abs/1702.04111 (2017) - [i5]Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün, Mohamed Ezzeldin A. Elshaer, Jana Lipková, Sebastian Schlecht, Freba Ahmaddy, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Felix Hofmann, Melvin D'Anastasi, Seyed-Ahmad Ahmadi, Georgios Kaissis, Julian Holch, Wieland H. Sommer, Rickmer Braren, Volker Heinemann, Bjoern H. Menze:
Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks. CoRR abs/1702.05970 (2017) - [i4]Jana Lipková, Markus Rempfler, Patrick Ferdinand Christ, John S. Lowengrub, Bjoern H. Menze:
Automated Unsupervised Segmentation of Liver Lesions in CT scans via Cahn-Hilliard Phase Separation. CoRR abs/1704.02348 (2017) - [i3]Giles Tetteh, Markus Rempfler, Bjoern H. Menze, Claus Zimmer:
Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction. CoRR abs/1704.03743 (2017) - 2016
- [c7]Esther Alberts, Markus Rempfler, Georgina Alber, Thomas Huber, Jan Kirschke, Claus Zimmer, Bjoern H. Menze:
Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models. ISBI 2016: 428-431 - [c6]Udhayaraj Sivalingam, Michael Wels, Markus Rempfler, Stefan Grosskopf, Michael Sühling, Bjoern H. Menze:
Inner and outer coronary vessel wall segmentation from CCTA using an active contour model with machine learning-based 3D voxel context-aware image force. Medical Imaging: Computer-Aided Diagnosis 2016: 978502 - [c5]Markus Rempfler, Bjoern Andres, Bjoern H. Menze:
The Minimum Cost Connected Subgraph Problem in Medical Image Analysis. MICCAI (3) 2016: 397-405 - [c4]Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Marco Armbruster, Felix Hofmann, Melvin D'Anastasi, Wieland H. Sommer, Seyed-Ahmad Ahmadi, Bjoern H. Menze:
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields. MICCAI (2) 2016: 415-423 - [i2]Markus Rempfler, Bjoern Andres, Bjoern H. Menze:
The Minimum Cost Connected Subgraph Problem in Medical Image Analysis. CoRR abs/1606.06135 (2016) - [i1]Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Marco Armbruster, Felix Hofmann, Melvin D'Anastasi, Wieland H. Sommer, Seyed-Ahmad Ahmadi, Bjoern H. Menze:
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields. CoRR abs/1610.02177 (2016) - 2015
- [j1]Markus Rempfler, Matthias Schneider, Giovanna D. Ielacqua, Xianghui Xiao, Stuart R. Stock, Jan Klohs, Gábor Székely, Bjoern Andres, Bjoern H. Menze:
Reconstructing cerebrovascular networks under local physiological constraints by integer programming. Medical Image Anal. 25(1): 86-94 (2015) - [c3]Markus Rempfler, Matthias Schneider, Giovanna D. Ielacqua, Tim Sprenger, Xianghui Xiao, Stuart R. Stock, Jan Klohs, Gábor Székely, Bjoern Andres, Bjoern H. Menze:
Rekonstruktion zerebraler Gefässnetzwerke aus in-vivo μMRA mittels physiologischem Vorwissen zur lokalen Gefässgeometrie. Bildverarbeitung für die Medizin 2015: 161-166 - [c2]Vasileios Zografos, Alexander Valentinitsch, Markus Rempfler, Federico Tombari, Bjoern H. Menze:
Hierarchical Multi-Organ Segmentation Without Registration in 3D Abdominal CT Images. MCV@MICCAI 2015: 37-46 - 2014
- [c1]Markus Rempfler, Matthias Schneider, Giovanna D. Ielacqua, Xianghui Xiao, Stuart R. Stock, Jan Klohs, Gábor Székely, Bjoern Andres, Bjoern H. Menze:
Extracting Vascular Networks under Physiological Constraints via Integer Programming. MICCAI (2) 2014: 505-512
Coauthor Index
aka: Björn H. Menze
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