Segmentation and Tracking of Myocardial Boundaries Using Dynamic Programming. - Athira J. Jacob; Alex Varghese; Ganapathy Krishnamurthi (STACOM@MICCAI, 2016)

Estimation of myocardial deformation using correlation image velocimetry. - Athira J. Jacob; Ganapathy Krishnamurthi; Manikandan Mathur (BMC Medical Imaging, 2017)

Supervised Learning for Segmenting Open Boundaries in Medical Images. - Karim Amer; Athira J. Jacob; Gareth Funka-Lea; Noha El-Zehiry (ISBI, 2020)

Automated Estimation of Motion Patterns of the Left Ventricle Supports Cardiomyopathy Identification. - Edmond Astolfi; Athira J. Jacob; Indraneel Borgohain; Akos Varga-Szemes; Puneet Sharma; Tiziano Passerini (FIMH, 2023)

Deep Conditional Shape Models for 3D Cardiac Image Segmentation. - Athira J. Jacob; Puneet Sharma; Daniel Rückert (STACOM@MICCAI, 2023)

DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation. - Athira J. Jacob; Puneet Sharma; Daniel Rueckert (ISBI, 2024)

Towards a vision foundation model for comprehensive assessment of Cardiac MRI. - Athira J. Jacob; Indraneel Borgohain; Teodora Chitiboi; Puneet Sharma; Dorin Comaniciu; Daniel Rueckert (CoRR, 2024)

Fake It Till You Make It: Using Synthetic Data and Domain Knowledge for Improved Text-Based Learning for LGE Detection. - Athira J. Jacob; Puneet Sharma; Daniel Rueckert (CoRR, 2025)

Deep learning-based segmentation of T1 and T2 cardiac MRI maps for automated disease detection. - Andreea Bianca Popescu; Andreas Seitz; Heiko Mahrholdt; Jens Wetzl; Athira J. Jacob; Lucian Mihai Itu; Constantin Suciu; Teodora Chitiboi (CoRR, 2025)