Thabo Mahendiran

According to our database, Thabo Mahendiran authored at least 5 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

ODySSeI: An Open-Source End-to-End Framework for Automated Detection, Segmentation, and Severity Estimation of Lesions in Invasive Coronary Angiography Images.

Anand Choudhary, Xiaowu Sun, Thabo Mahendiran, Ortal Yona Senouf, Denise Auberson, Bernard De Bruyne, Stéphane Fournier, Olivier Muller, Emmanuel Abbe, Pascal Frossard, Dorina Thanou

CoRR, March, 2026

Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective.

Xiaowu Sun, Theofilos Belmpas, Ortal Yona Senouf, Emmanuel Abbe, Pascal Frossard, Bernard De Bruyne, Denise Auberson, Olivier Muller, Stéphane Fournier, Thabo Mahendiran, Dorina Thanou

Medical Image Anal., 2026

2025

Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins.

Xiaowu Sun, Thabo Mahendiran, Ortal Yona Senouf, Denise Auberson, Bernard De Bruyne, Stéphane Fournier, Olivier Muller, Pascal Frossard, Emmanuel Abbe, Dorina Thanou

CoRR, December, 2025

CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography.

Camille Challier, Xiaowu Sun, Thabo Mahendiran, Ortal Yona Senouf, Bernard De Bruyne, Denise Auberson, Olivier Muller, Stéphane Fournier, Pascal Frossard, Emmanuel Abbe, Dorina Thanou

CoRR, July, 2025

2024

Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography.

Xiaowu Sun, Theofilos Belmpas, Ortal Yona Senouf, Emmanuel Abbe, Pascal Frossard, Bernard De Bruyne, Olivier Muller, Stéphane Fournier, Thabo Mahendiran, Dorina Thanou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024