Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. - Balamurali Murugesan; Kaushik Sarveswaran; Sharath M. Shankaranarayana; Keerthi Ram; Jayaraj Joseph; Mohanasankar Sivaprakasam (EMBC, 2019)

Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. - Balamurali Murugesan; Kaushik Sarveswaran; Sharath M. Shankaranarayana; Keerthi Ram; Jayaraj Joseph; Mohanasankar Sivaprakasam (MLMI@MICCAI, 2019)

Recon-GLGAN: A Global-Local Context Based Generative Adversarial Network for MRI Reconstruction. - Balamurali Murugesan; Vijaya Raghavan S; Kaushik Sarveswaran; Keerthi Ram; Mohanasankar Sivaprakasam (MLMIR@MICCAI, 2019)

Deep detection and classification of mitotic figures. - Balamurali Murugesan; Sakthivel Selvaraj; Kaushik Sarveswaran; Keerthi Ram; Jayaraj Joseph; Mohanasankar Sivaprakasam (Digital Pathology, 2019)

Joint shape learning and segmentation for medical images using a minimalistic deep network. - Balamurali Murugesan; Kaushik Sarveswaran; Sharath M. Shankaranarayana; Keerthi Ram; Mohanasankar Sivaprakasam (CoRR, 2019)

Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. - Balamurali Murugesan; Kaushik Sarveswaran; Sharath M. Shankaranarayana; Keerthi Ram; Mohanasankar Sivaprakasam (CoRR, 2019)

A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation. - Balamurali Murugesan; Kaushik Sarveswaran; Vijaya Raghavan S; Sharath M. Shankaranarayana; Keerthi Ram; Mohanasankar Sivaprakasam (ISBI, 2020)

KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow. - Balamurali Murugesan; Sricharan Vijayarangan; Kaushik Sarveswaran; Keerthi Ram; Mohanasankar Sivaprakasam (MIDL, 2020)