Matthias Ivantsits

According to our database, Matthias Ivantsits authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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].

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

Medical Image Anal., 2025

Coronary Tree Segmentation and Labelling in X-ray Angiography Images Using Graph Deep Learning.

Robin Gayet, Alaa Abd El Al, Alexander Meyer, Anja Hennemuth, Matthias Ivantsits, Antonia Popp

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024

MV-GNN: Generation of continuous geometric representations of mitral valve motion from 3D+t echocardiography.

Matthias Ivantsits, Lennart Tautz, Markus Hüllebrand, Lars Walczak, Serdar Akansel, Inna Khasyanova, Jörg Kempfert, Simon H. Sündermann, Volkmar Falk, Anja Hennemuth

Comput. Biol. Medicine, 2024

Algorithmic Integration and Quantification of Endoscopic and 3D TEE Images in Mitral Valve Surgery.

Matthias Ivantsits, Markus Hüllebrand, Lars Walczak, Juri Welz, Dustin Greve, Isaac Wamala, Simon H. Sündermann, Jörg Kempfert, Volkmar Falk, Anja Hennemuth

Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2024

Development and Analysis of a Pipeline for Cardiac Ultrasound Simulation for Deep Learning Segmentation Methods.

Marcel Bauer, Chiara Manini, Stefan Klemmer, Tom Meyer, Matthias Ivantsits, Lars Walczak, Anja Hennemuth, Heiko Tzschätzsch

Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2024

2023

Deep Learning-Based Pulmonary Artery Surface Mesh Generation.

Nina Krüger, Jan Brüning, Leonid Goubergrits, Matthias Ivantsits, Lars Walczak, Volkmar Falk, Henryk Dreger, Titus Kühne, Anja Hennemuth

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Matching Endoscopic 3D Image Data with 4D Echocardiographic Data for Extended Reality Support in Mitral Valve Repair Surgery.

Juri Welz, Matthias Ivantsits, Isaac Wamala, Jörg Kempfert, Simon H. Sündermann, Volkmar Falk, Anja Hennemuth

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.

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

Medical Image Anal., 2022

Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge.

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

Medical Image Anal., 2022

3D Mitral Valve Surface Reconstruction from 3D TEE via Graph Neural Networks.

Matthias Ivantsits, Boris Pfahringer, Markus Hüllebrand, Lars Walczak, Lennart Tautz, Olena Nemchyna, Serdar Akansel, Jörg Kempfert, Simon H. Sündermann, Anja Hennemuth

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2020

Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection.

Matthias Ivantsits, Jan-Martin Kuhnigk, Markus Hüllebrand, Titus Kühne, Anja Hennemuth

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Deep-Learning-Based Myocardial Pathology Detection.

Matthias Ivantsits, Markus Hüllebrand, Sebastian Kelle, Stefan O. Schönberg, Titus Kühne, Anja Hennemuth

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine Learning.

Matthias Ivantsits, Markus Hüllebrand, Sebastian Kelle, Titus Kühne, Anja Hennemuth

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA).

Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Anja Hennemuth

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds.

Matthias Ivantsits, Leonid Goubergrits, Jan Brüning, Andreas Spuler, Anja Hennemuth

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Comparison of a Hybrid Mixture Model and a CNN for the Segmentation of Myocardial Pathologies in Delayed Enhancement MRI.

Markus Hüllebrand, Matthias Ivantsits, Hannu Zhang, Peter Kohlmann, Jan-Martin Kuhnigk, Titus Kühne, Stefan O. Schönberg, Anja Hennemuth

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020