Jan Kirschke

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Magnetic Resonance Images

Quality Estimation

Brain Tumor Segmentation

Top Venues

Medical Image Anal.

Publications

Martin Frank, Fabian Holzberger, Medeea Horvat, Jan Kirschke, Matthias Mayr, Markus Muhr, Natalia Nebulishvili, Alexander Popp, Julian Schwarting, Barbara I. Wohlmuth
Numerical simulation of endovascular treatment options for cerebral aneurysms. CoRR (2024)
Poulami Sinhamahapatra, Suprosanna Shit, Anjany Sekuboyina, Malek El Husseini, David Schinz, Nicolas Lenhart, Bjoern H. Menze, Jan Kirschke, Karsten Roscher, Stephan Günnemann
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes. CoRR (2024)
Julian Schwarting, Fabian Holzberger, Markus Muhr, Martin Renz, Tobias Boeckh-Behrens, Barbara I. Wohlmuth, Jan Kirschke
Numerical simulation of individual coil placement - A proof-of-concept study for the prediction of recurrence after aneurysm coiling. CoRR (2024)
Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Oezguen Turgut, Izabela Horvath, Diana Waldmannstetter, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR (2023)
Anjany Sekuboyina, Jannik Irmai, Suprosanna Shit, Jan Kirschke, Bjoern Andres, Bjoern H. Menze
Pushing the Limits of an FCN and A CRF Towards Near-Ideal Vertebrae Labelling. ISBI (2023)
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 (2023)
Florian Kofler, Suprosanna Shit, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Rami Al-Maskari, Hongwei Bran Li, Harsharan Bhatia, Timo Loehr, Marie Piraud, Ali Ertürk, Jan Kirschke, Jan C. Peeken, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze
blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation. IPMI (2023)
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. ISBI (2023)
Hongwei Bran Li, Syed Muhammad Anwar, Gian Marco Conte, Florian Kofler, Koen Van Leemput, Marie Piraud, Ivan Ezhov, Felix Meissen, Maruf Adewole, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Thomas Yu, Verena Chung, Timothy Bergquist, James A. Eddy, Jake Albrecht, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR (2023)
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 (2023)
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 (2022)
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. BrainLes@MICCAI (2022)
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 (2022)
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 (2022)
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)
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 (2021)
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 (2021)
Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. CoRR (2018)
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)
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 (2018)
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 (2018)
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)