Matthias Ivantsits

18 papers Journal 5Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Coronary Tree Segmentation and Labelling in X-ray Angiography Images Using Graph Deep Learning. Bildverarbeitung für die Medizin Robin Gayet, Alaa Abd El Al, Alexander Meyer, Anja Hennemuth, Matthias Ivantsits, Antonia Popp
2025	J	`jnl`	Corrigendum to "Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge" [Medical Image Analysis, April 2022, Volume 77, 102333]. Medical Image Anal. 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
2024	—	`conf`	Algorithmic Integration and Quantification of Endoscopic and 3D TEE Images in Mitral Valve Surgery. VCBM Matthias Ivantsits, Markus Hüllebrand, Lars Walczak, Juri Welz, Dustin Greve, Isaac Wamala, Simon H. Sündermann, Jörg Kempfert, Volkmar Falk, Anja Hennemuth
2024	—	`conf`	Development and Analysis of a Pipeline for Cardiac Ultrasound Simulation for Deep Learning Segmentation Methods. VCBM Marcel Bauer, Chiara Manini, Stefan Klemmer, Tom Meyer, Matthias Ivantsits, Lars Walczak, Anja Hennemuth, Heiko Tzschätzsch
2024	J	`jnl`	MV-GNN: Generation of continuous geometric representations of mitral valve motion from 3D+t echocardiography. Comput. Biol. Medicine Matthias Ivantsits, Lennart Tautz, Markus Hüllebrand, Lars Walczak, Serdar Akansel, Inna Khasyanova, Jörg Kempfert, Simon H. Sündermann, Volkmar Falk, Anja Hennemuth
2023	—	`conf`	Deep Learning-Based Pulmonary Artery Surface Mesh Generation. STACOM@MICCAI Nina Krüger, Jan Brüning, Leonid Goubergrits, Matthias Ivantsits, Lars Walczak, Volkmar Falk, Henryk Dreger, Titus Kühne, Anja Hennemuth
2023	—	`conf`	Matching Endoscopic 3D Image Data with 4D Echocardiographic Data for Extended Reality Support in Mitral Valve Repair Surgery. Bildverarbeitung für die Medizin Juri Welz, Matthias Ivantsits, Isaac Wamala, Jörg Kempfert, Simon H. Sündermann, Volkmar Falk, Anja Hennemuth
2022	—	`conf`	3D Mitral Valve Surface Reconstruction from 3D TEE via Graph Neural Networks. STACOM@MICCAI Matthias Ivantsits, Boris Pfahringer, Markus Hüllebrand, Lars Walczak, Lennart Tautz, Olena Nemchyna, Serdar Akansel, Jörg Kempfert, Simon H. Sündermann, Anja Hennemuth
2022	J	`jnl`	Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 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 H. 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
2022	J	`jnl`	Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge. Medical Image Anal. 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
2021	—	`ed.`	Cerebral Aneurysm Detection - First Challenge, CADA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings CADA@MICCAI Anja Hennemuth, Leonid Goubergrits, Matthias Ivantsits, Jan-Martin Kuhnigk
2021	J	`jnl`	Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR 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 H. 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
2020	—	`conf`	Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA). CADA@MICCAI Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Anja Hennemuth
2020	—	`conf`	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 Markus Hüllebrand, Matthias Ivantsits, Hannu Zhang, Peter Kohlmann, Jan-Martin Kuhnigk, Titus Kühne, Stefan O. Schönberg, Anja Hennemuth
2020	—	`conf`	Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection. CADA@MICCAI Matthias Ivantsits, Jan-Martin Kuhnigk, Markus Hüllebrand, Titus Kühne, Anja Hennemuth
2020	—	`conf`	Deep-Learning-Based Myocardial Pathology Detection. M&Ms and EMIDEC/STACOM@MICCAI Matthias Ivantsits, Markus Hüllebrand, Sebastian Kelle, Stefan O. Schönberg, Titus Kühne, Anja Hennemuth
2020	—	`conf`	Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds. CADA@MICCAI Matthias Ivantsits, Leonid Goubergrits, Jan Brüning, Andreas Spuler, Anja Hennemuth
2020	—	`conf`	Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine Learning. CADA@MICCAI Matthias Ivantsits, Markus Hüllebrand, Sebastian Kelle, Titus Kühne, Anja Hennemuth