Matthias Ivantsits

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 12

Top Topics

Generalized Em Algorithm

Surface Reconstruction

Top Venues

M&Ms and EMIDEC/STACOM@MICCAI

Medical Image Anal.

Publications

Juri Welz, Matthias Ivantsits, Isaac Wamala, Jörg Kempfert, Simon H. Sündermann, Volkmar Falk, Anja Hennemuth
Matching Endoscopic 3D Image Data with 4D Echocardiographic Data for Extended Reality Support in Mitral Valve Repair Surgery. Bildverarbeitung für die Medizin (2023)
Nina Krüger, Jan Brüning, Leonid Goubergrits, Matthias Ivantsits, Lars Walczak, Volkmar Falk, Henryk Dreger, Titus Kühne, Anja Hennemuth
Deep Learning-Based Pulmonary Artery Surface Mesh Generation. STACOM@MICCAI (2023)
Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 79 (2022)
Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Yizhuan Jia, Xuesong Li, Suprosanna Shit, Bjoern H. Menze, Ziyu Su, Jun Ma, Ziwei Nie, Kartik Jain, Yanfei Liu, Yi Lin, Anja Hennemuth
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge. Medical Image Anal. 77 (2022)
Matthias Ivantsits, Boris Pfahringer, Markus Hüllebrand, Lars Walczak, Lennart Tautz, Olena Nemchyna, Serdar Akansel, Jörg Kempfert, Simon H. Sündermann, Anja Hennemuth
3D Mitral Valve Surface Reconstruction from 3D TEE via Graph Neural Networks. STACOM@MICCAI (2022)
Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR (2021)
Matthias Ivantsits, Markus Hüllebrand, Sebastian Kelle, Stefan O. Schönberg, Titus Kühne, Anja Hennemuth
Deep-Learning-Based Myocardial Pathology Detection. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Markus Hüllebrand, Matthias Ivantsits, Hannu Zhang, Peter Kohlmann, Jan-Martin Kuhnigk, Titus Kühne, Stefan O. Schönberg, Anja Hennemuth
Comparison of a Hybrid Mixture Model and a CNN for the Segmentation of Myocardial Pathologies in Delayed Enhancement MRI. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Matthias Ivantsits, Leonid Goubergrits, Jan Brüning, Andreas Spuler, Anja Hennemuth
Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds. CADA@MICCAI (2020)
Matthias Ivantsits, Markus Hüllebrand, Sebastian Kelle, Titus Kühne, Anja Hennemuth
Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine Learning. CADA@MICCAI (2020)
Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Anja Hennemuth
Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA). CADA@MICCAI (2020)
Matthias Ivantsits, Jan-Martin Kuhnigk, Markus Hüllebrand, Titus Kühne, Anja Hennemuth
Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection. CADA@MICCAI (2020)