MTSE U-Net: an architecture for segmentation, and prediction of fetal brain and gestational age from MRI of brain. - Tuhinangshu Gangopadhyay; Shinjini Halder; Paramik Dasgupta; Kingshuk Chatterjee; Debayan Ganguly; Surjadeep Sarkar; Sudipta Roy 002 (Netw. Model. Anal. Health Informatics Bioinform., 2022)

"Find the Table": A Contrastive Learning-based Approach with Faster RCNN for Establishing Tabular Entity Relationships. - Sarmistha Das; Tuhinangshu Gangopadhyay; Atulya Deep; Sriparna Saha 001; Alka Maurya (IJCNN, 2023)

A Lightweight Self Attention Based Multi-Task Deep Learning Model for Industrial Solar Panel and Environmental Monitoring. - Tuhinangshu Gangopadhyay; Tanushree Meena; Debojyoti Pal; Sudipta Roy 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)