| 2025 | MICCAI | An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-task Learning. | Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau |
| 2025 | WACV | DeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-Ray Angiography Projections. | Yiying Wang, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau |
| 2024 | MICCAI | Single-Source Domain Generalization for Coronary Vessels Segmentation in X-Ray Angiography. | Mohammad Z. Atwany, Mojtaba Lashgari, Robin P. Choudhury, Vicente Grau, Abhirup Banerjee |
| 2024 | MICCAI | Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI. | Claas Thesing, Alfonso Bueno-Orovio, Abhirup Banerjee |
| 2024 | MICCAI | Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation. | Wenhui Zhang, Abhirup Banerjee, Surajit Ray |
| 2023 | MICCAI | Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction. | Marcel Beetz, Abhirup Banerjee, Vicente Grau |
| 2018 | MICCAI | Automated Motion Correction and 3D Vessel Centerlines Reconstruction from Non-simultaneous Angiographic Projections. | Abhirup Banerjee, Rajesh K. Kharbanda, Robin Choudhury, Vicente Grau |
| 2013 | CAIP | Contraharmonic Mean Based Bias Field Correction in MR Images. | Abhirup Banerjee, Pradipta Maji |
| 2013 | ICIAP | Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI. | Abhirup Banerjee, Pradipta Maji |