LS-Net: a convolutional neural network for leaf segmentation of rosette plants. - Mainak Deb; Arpan Garai; Arunita Das; Krishna Gopal Dhal (Neural Comput. Appl., 2022)

A survey on recent trends in deep learning for nucleus segmentation from histopathology images. - Anusua Basu; Pradip Senapati; Mainak Deb; Rebika Rai; Krishna Gopal Dhal (Evol. Syst., 2024)

Sharp dense U-Net: an enhanced dense U-Net architecture for nucleus segmentation. - Pradip Senapati; Anusua Basu; Mainak Deb; Krishna Gopal Dhal (Int. J. Mach. Learn. Cybern., 2024)

TopoNets: High performing vision and language models with brain-like topography. - Mayukh Deb; Mainak Deb; N. Apurva Ratan Murty (ICLR, 2025)

Small-scale adversarial perturbations expose differences between predictive encoding models of human fMRI responses. - Nikolas McNeal; Mainak Deb; N. Apurva Ratan Murty (UniReps, 2025)