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2020 – today
- 2023
[j3]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)- [i29]Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia J. Wagner, Rami Al-Maskari, Emilia Gryska, Mihail I. Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertürk, Daniel Rueckert, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud:
Approaching Peak Ground Truth. CoRR abs/2301.00243 (2023) - [i28]Matthias Keicher, Matan Atad, David Schinz, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Nassir Navab:
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading. CoRR abs/2303.12031 (2023) - 2022
- [c21]Paul Engstler, Matthias Keicher, David Schinz, Kristina Mach, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Ashkan Khakzar, Nassir Navab:
Interpretable Vertebral Fracture Diagnosis. iMIMIC@MICCAI 2022: 71-81 - [c20]Bailiang Jian, Mohammad Farid Azampour, Francesca De Benetti, Johannes Oberreuter, Christina Bukas, Alexandra S. Gersing, Sarah C. Foreman, Anna-Sophia Dietrich, Jon Rischewski, Jan S. Kirschke, Nassir Navab, Thomas Wendler:
Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine. MICCAI (6) 2022: 227-236 - [i27]Paul Engstler, Matthias Keicher, David Schinz, Kristina Mach, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Ashkan Khakzar, Nassir Navab:
Interpretable Vertebral Fracture Diagnosis. CoRR abs/2203.16273 (2022) - [i26]Bailiang Jian, Mohammad Farid Azampour, Francesca De Benetti, Johannes Oberreuter, Christina Bukas, Alexandra S. Gersing, Sarah C. Foreman, Anna-Sophia Dietrich, Jon Rischewski, Jan S. Kirschke, Nassir Navab, Thomas Wendler:
Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine. CoRR abs/2205.07568 (2022) - [i25]Florian Kofler, Suprosanna Shit, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Rami Al-Maskari, Hongwei Li, Harsharan Bhatia, Timo Loehr, Marie Piraud, Ali Ertürk, Jan Kirschke, Jan Peeken, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze:
blob loss: instance imbalance aware loss functions for semantic segmentation. CoRR abs/2205.08209 (2022) - [i24]Florian Kofler, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster, Hongwei Li, Tom Finck, Suprosanna Shit, Johannes C. Paetzold, Spyridon Bakas, Marie Piraud, Jan Kirschke, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze:
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. CoRR abs/2205.10355 (2022) - [i23]Moritz Roman Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, Roland Wiest, Waldo Enrique Valenzuela Pinilla, Mauricio Reyes, Maria Inês Meyer, Sook-Lei Liew, Florian Kofler, Ivan Ezhov, David Robben, Alexander Hutton, Tassilo Friedrich, Teresa Zarth, Johannes Bürkle, The Anh Baran, Bjoern H. Menze, Gabriel Broocks, Lukas Meyer, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Benno Ikenberg, Benedikt Wiestler, Jan S. Kirschke:
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. CoRR abs/2206.06694 (2022) - [i22]Matan Atad, Vitalii Dmytrenko, Yitong Li, Xinyue Zhang, Matthias Keicher, Jan Kirschke, Benedikt Wiestler, Ashkan Khakzar, Nassir Navab:
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN. CoRR abs/2207.07553 (2022) - 2021
- [j2]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) - [j1]Ezequiel de la Rosa, Diana Maria Sima, Bjoern H. Menze, Jan S. Kirschke, David Robben:
AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning. Medical Image Anal. 74: 102211 (2021) - [c19]Hongwei Li, Sunita Gopal, Anjany Sekuboyina, Jianguo Zhang, Chen Niu, Carolin M. Pirkl, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze:
Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. UNSURE/PIPPI@MICCAI 2021: 44-53 - [c18]Christina Bukas, Bailiang Jian, Luis F. Rodriguez Venegas, Francesca De Benetti, Sebastian Ruehling, Anjany Sekuboyina, Jens Gempt, Jan S. Kirschke, Marie Piraud, Johannes Oberreuter, Nassir Navab, Thomas Wendler:
Patient-Specific Virtual Spine Straightening and Vertebra Inpainting: An Automatic Framework for Osteoplasty Planning. MICCAI (4) 2021: 529-539 - [i21]Florian Kofler, Ivan Ezhov, Fabian Isensee, Fabian Balsiger, Christoph Berger, Maximilian Koerner, Johannes C. Paetzold, Hongwei Li, Suprosanna Shit, Richard McKinley, Spyridon Bakas, Claus Zimmer, Donna P. Ankerst, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze:
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient. CoRR abs/2103.06205 (2021) - [i20]Hans Liebl, David Schinz, Anjany Sekuboyina, Luca Malagutti, Maximilian T. Löffler, Amirhossein Bayat, Malek El Husseini, Giles Tetteh, Katharina Grau, Eva Niederreiter, Thomas Baum, Benedikt Wiestler, Bjoern H. Menze, Rickmer Braren, Claus Zimmer, Jan S. Kirschke:
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data. CoRR abs/2103.06360 (2021) - [i19]Christina Bukas, Bailiang Jian, Luis F. Rodriguez Venegas, Francesca De Benetti, Sebastian Ruehling, Anjany Sekuboyina, Jens Gempt, Jan S. Kirschke, Marie Piraud, Johannes Oberreuter, Nassir Navab, Thomas Wendler:
Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning. CoRR abs/2103.07279 (2021) - [i18]Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze:
Differentiable Deconvolution for Improved Stroke Perfusion Analysis. CoRR abs/2103.17111 (2021) - [i17]Giles Tetteh, Fernando Navarro, Johannes C. Paetzold, Jan Kirschke, Claus Zimmer, Bjoern H. Menze:
A Deep Learning Approach to Predicting Collateral Flow in Stroke Patients Using Radiomic Features from Perfusion Images. CoRR abs/2110.12508 (2021) - 2020
- [c17]Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze:
Robustification of Segmentation Models Against Adversarial Perturbations in Medical Imaging. PRIME@MICCAI 2020: 46-57 - [c16]Maximilian Möller, Matthias Kohl, Stefan Braunewell, Florian Kofler, Benedikt Wiestler, Jan S. Kirschke, Björn H. Menze, Marie Piraud:
Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 63-72 - [c15]Amirhossein Bayat, Suprosanna Shit, Adrian Kilian, Jürgen T. Liechtenstein, Jan S. Kirschke, Bjoern H. Menze:
Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement. AutoImplant@MICCAI 2020: 77-84 - [c14]Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze:
Differentiable Deconvolution for Improved Stroke Perfusion Analysis. MICCAI (7) 2020: 593-602 - [c13]Malek El Husseini, Anjany Sekuboyina, Maximilian Löffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke:
Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection. MICCAI (6) 2020: 733-742 - [c12]Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze:
Inferring the 3D Standing Spine Posture from 2D Radiographs. MICCAI (6) 2020: 775-784 - [c11]Diana Waldmannstetter, Fernando Navarro, Benedikt Wiestler, Jan S. Kirschke, Anjany Sekuboyina, Ester Molero, Bjoern H. Menze:
Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment. WBIR 2020: 81-90 - [i16]Anjany Sekuboyina, Amirhossein Bayat, Malek El Husseini, Maximilian Löffler, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Christian Payer, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Qingyue Wei, Kevin Brown, Matthias Wolf, Alexandre Kirszenberg, Élodie Puybareau, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae Labelling and Segmentation Benchmark. CoRR abs/2001.09193 (2020) - [i15]Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze:
Inferring the 3D Standing Spine Posture from 2D Radiographs. CoRR abs/2007.06612 (2020) - [i14]Malek El Husseini, Anjany Sekuboyina, Maximilian Löffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke:
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection. CoRR abs/2008.07831 (2020) - [i13]Amirhossein Bayat, Suprosanna Shit, Adrian Kilian, Jürgen T. Liechtenstein, Jan S. Kirschke, Bjoern H. Menze:
Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement. CoRR abs/2009.10769 (2020) - [i12]Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze:
Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging. CoRR abs/2009.11090 (2020) - [i11]Ezequiel de la Rosa, Diana Maria Sima, Bjoern H. Menze, Jan S. Kirschke, David Robben:
AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning. CoRR abs/2010.01617 (2020)
2010 – 2019
- 2019
- [c10]Florian Kofler, Johannes C. Paetzold, Ivan Ezhov, Suprosanna Shit, Daniel Krahulec, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze:
A Baseline for Predicting Glioblastoma Patient Survival Time with Classical Statistical Models and Primitive Features Ignoring Image Information. BrainLes@MICCAI (1) 2019: 254-261 - [c9]Ezequiel de la Rosa, Diana Maria Sima, Thijs Vande Vyvere, Jan S. Kirschke, Björn H. Menze:
A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. ISBI 2019: 732-735 - [c8]Malek El Husseini, Anjany Sekuboyina, Amirhossein Bayat, Bjoern H. Menze, Maximilian Löffler, Jan S. Kirschke:
Conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures. CSI@MICCAI 2019: 29-38 - [c7]Amirhossein Bayat, Anjany Sekuboyina, Felix Hofmann, Malek El Husseini, Jan S. Kirschke, Bjoern H. Menze:
Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape. CSI@MICCAI 2019: 39-46 - [c6]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 - [c5]Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. MICCAI (4) 2019: 795-803 - [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]Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis. CoRR abs/1904.12894 (2019) - [i8]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
- [c4]Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze:
Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. BrainLes@MICCAI (1) 2018: 199-207 - [c3]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 - [i7]Giles Tetteh, Velizar Efremov, Nils D. Forkert, Matthias Schneider, Jan Kirschke, Bruno Weber, Claus Zimmer, Marie Piraud, Bjoern H. Menze:
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes. CoRR abs/1803.09340 (2018) - [i6]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) - [i5]Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze:
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. CoRR abs/1807.05153 (2018) - [i4]John N. Jomo, Frits de Prenter, Mohamed Elhaddad, Davide D'Angella, Clemens Verhoosel, Stefan Kollmannsberger, Jan S. Kirschke, Vera Nübel, Harald van Brummelen, Ernst Rank:
Robust and parallel scalable iterative solutions for large-scale finite cell analyses. CoRR abs/1809.00828 (2018) - [i3]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) - [i2]Ezequiel de la Rosa, Diana Maria Sima, Thijs Vande Vyvere, Jan S. Kirschke, Bjoern H. Menze:
A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. CoRR abs/1811.05699 (2018) - 2017
- [c2]Anjany Sekuboyina, Jan Kukacka, Jan S. Kirschke, Bjoern H. Menze, Alexander Valentinitsch:
Attention-Driven Deep Learning for Pathological Spine Segmentation. MSKI@MICCAI 2017: 108-119 - [i1]Anjany Sekuboyina, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets. CoRR abs/1703.04347 (2017) - 2016
- [c1]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
Coauthor Index
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