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Matthias Ivantsits
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- affiliation: Charité, Berlin, Germany
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2020 – today
- 2024
- [j3]Matthias Ivantsits
, Lennart Tautz
MV-GNN: Generation of continuous geometric representations of mitral valve motion from 3D+t echocardiography. Comput. Biol. Medicine 182: 109154 (2024) - 2023
- [c9]Juri Welz, Matthias Ivantsits
Matching Endoscopic 3D Image Data with 4D Echocardiographic Data for Extended Reality Support in Mitral Valve Repair Surgery. Bildverarbeitung für die Medizin 2023: 300-305 - [c8]Nina Krüger
Deep Learning-Based Pulmonary Artery Surface Mesh Generation. STACOM@MICCAI 2023: 140-151 - 2022
- [j2]Matthias Ivantsits
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge. Medical Image Anal. 77: 102333 (2022) - [j1]Alain Lalande
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 79: 102428 (2022) - [c7]Matthias Ivantsits
3D Mitral Valve Surface Reconstruction from 3D TEE via Graph Neural Networks. STACOM@MICCAI 2022: 330-339 - 2021
- [e1]Anja Hennemuth
Cerebral Aneurysm Detection - First Challenge, CADA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12643, Springer 2021, ISBN 978-3-030-72861-8 [contents] - [i1]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
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR abs/2108.04016 (2021) - 2020
- [c6]Matthias Ivantsits
Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA). CADA@MICCAI 2020: 3-17 - [c5]Matthias Ivantsits
Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection. CADA@MICCAI 2020: 31-38 - [c4]Matthias Ivantsits
Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine Learning. CADA@MICCAI 2020: 93-103 - [c3]Matthias Ivantsits
Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds. CADA@MICCAI 2020: 104-112 - [c2]Markus Hüllebrand
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: 319-327 - [c1]Matthias Ivantsits
Deep-Learning-Based Myocardial Pathology Detection. M&Ms and EMIDEC/STACOM@MICCAI 2020: 369-377
Coauthor Index
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