Customizing CNNs for blood vessel segmentation from fundus images. - Sunil Kumar Vengalil; Neelam Sinha; Srinivas S. S. Kruthiventi; R. Venkatesh Babu (SPCOM, 2016)

Structural MRI based texture analysis of corpus callosum in patients with Progressive Supraneuclear Palsy. - Debanjali Bhattacharya; Sunil Kumar Vengalil; Neelam Sinha; Jitender Saini; Pramod Kumar Pal; M. Sandhya (TENCON, 2019)

Whole Tumor Segmentation from Brain MR images using Multi-view 2D Convolutional Neural Network. - Ritu Lahoti; Sunil Kumar Vengalil; Punith B. Venkategowda; Neelam Sinha; Vinod Veera Reddy (EMBC, 2021)

Semi-supervised Learning Using Variational Autoencoder - A Cluster Based Approach. - Sunil Kumar Vengalil; Neelam Sinha (PReMI, 2021)

Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks. - Sunil Kumar Vengalil; Neelam Sinha (CoRR, 2021)

Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks. - Yogesh Kochar; Sunil Kumar Vengalil; Neelam Sinha (CoRR, 2021)

Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data. - Sai Pradeep Chakka; Sunil Kumar Vengalil; Neelam Sinha (CoRR, 2023)