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Picture for Jan S. Kirschke

Jan S. Kirschke

Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany

Differentiable Deconvolution for Improved Stroke Perfusion Analysis


Mar 31, 2021
Ezequiel de la Rosa, David Robben, Diana M. Sima, Jan S. Kirschke, Bjoern Menze

* International Conference on Medical Image Computing and Computer-Assisted Intervention 2020 Oct 4 (pp. 593-602) 
* Accepted at MICCAI 2020 

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Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning


Mar 23, 2021
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

* 7 pages, 5 figures, 5 tables 

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A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data


Mar 10, 2021
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 Menze, Rickmer Braren, Claus Zimmer, Jan S. Kirschke

* 18 pages, 2 figures, 2 tables; Hans Liebl, David Schinz equally contributed to this manuscript 

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AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning


Oct 04, 2020
Ezequiel de la Rosa, Diana M. Sima, Bjoern Menze, Jan S. Kirschke, David Robben

* Preprint submitted to Elsevier 

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Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement


Sep 27, 2020
Amirhossein Bayat, Suprosanna Shit, Adrian Kilian, Jürgen T. Liechtenstein, Jan S. Kirschke, Bjoern H. Menze


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Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging


Sep 23, 2020
Hanwool Park, Amirhossein Bayat, Mohammad Sabokrou, Jan S. Kirschke, Bjoern H. Menze


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Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection


Aug 18, 2020
Malek Husseini, Anjany Sekuboyina, Maximilian Loeffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke

* To be presented at MICCAI 2020 

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Inferring the 3D Standing Spine Posture from 2D Radiographs


Jul 13, 2020
Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze


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VerSe: A Vertebrae Labelling and Segmentation Benchmark


Jan 24, 2020
Anjany Sekuboyina, Amirhossein Bayat, Malek E. Husseini, Maximilian Löffler, Markus Rempfler, Jan Kukačka, 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 Zachowk, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Qingyue Wei, Kevin Brown, Matthias Wolf, Alexandre Kirszenberg, Élodie Puybareauq, Björn H. Menze, Jan S. Kirschke


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Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis


Aug 02, 2019
Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Loeffler, Jan S. Kirschke, Bjoern H. Menze

* Accepted at Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019; JSK and BHM are joint supervising authors 

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DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis


Apr 29, 2019
Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze


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Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations


Mar 03, 2019
Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze

* Work under progress 

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A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans


Nov 14, 2018
Ezequiel de la Rosa, Diana M. Sima, Thijs Vande Vyvere, Jan S. Kirschke, Bjoern Menze

* Submitted to ISBI 2019 

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Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior


Apr 04, 2018
Anjany Sekuboyina, Markus Rempfler, Jan Kukačka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze


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A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets


Mar 13, 2017
Anjany Sekuboyina, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze


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