ECGNet: Deep Network for Arrhythmia Classification. - Balamurali Murugesan; Vignesh Ravichandran; Keerthi Ram; S. P. Preejith; Jayaraj Joseph; Sharath M. Shankaranarayana; Mohanasankar Sivaprakasam (MeMeA, 2018)

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)

RespNet: A deep learning model for extraction of respiration from photoplethysmogram. - Vignesh Ravichandran; Balamurali Murugesan; Vaishali Balakarthikeyan; Keerthi Ram; Preejith S. P; Jayaraj Joseph; Mohanasankar Sivaprakasam (EMBC, 2019)

Deep Network for Capacitive ECG Denoising. - Vignesh Ravichandran; Balamurali Murugesan; Sharath M. Shankaranarayana; Keerthi Ram; Preejith S. P; Jayaraj Joseph; Mohanasankar Sivaprakasam (MeMeA, 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)

RespNet: A deep learning model for extraction of respiration from photoplethysmogram. - Vignesh Ravichandran; Balamurali Murugesan; Vaishali Balakarthikeyan; Sharath M. Shankaranarayana; Keerthi Ram; S. P. Preejith; Jayaraj Joseph; Mohanasankar Sivaprakasam (CoRR, 2019)

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (CoRR, 2019)

MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet Loss. - Sriprabha Ramanarayanan; Balamurali Murugesan; Ananth Kalyanasundaram; Surya Prabhakaran; Keerthi Ram; Shantanu Patil; Mohanasankar Sivaprakasam (EMBC, 2020)

Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. - Sricharan Vijayarangan; Balamurali Murugesan; Vignesh Ravichandran; S. P. Preejith; Jayaraj Joseph; Mohanasankar Sivaprakasam (EMBC, 2020)

RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG. - Sricharan Vijayarangan; Vignesh Ravichandran; Balamurali Murugesan; Preejith S. P; Jayaraj Joseph; Mohanasankar Sivaprakasam (EMBC, 2020)

Dual-Encoder-Unet For Fast Mri Reconstruction. - Amrit Kumar Jethi; Balamurali Murugesan; Keerthi Ram; Mohanasankar Sivaprakasam (ISBI Workshops, 2020)

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)

DC-WCNN: A Deep Cascade of Wavelet Based Convolutional Neural Networks for MR Image Reconstruction. - Sriprabha Ramanarayanan; Balamurali Murugesan; Keerthi Ram; Mohanasankar Sivaprakasam (ISBI, 2020)

AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesis. - JayaChandra Raju; Balamurali Murugesan; Keerthi Ram; Mohanasankar Sivaprakasam (MLMIR@MICCAI, 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)

MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction. - Sriprabha Ramanarayanan; Balamurali Murugesan; Keerthi Ram; Mohanasankar Sivaprakasam (MIDL, 2020)

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (Medical Image Anal., 2020)

Style Transfer based Coronary Artery Segmentation in X-ray Angiogram. - Supriti Mulay; Keerthi Ram; Balamurali Murugesan; Mohanasankar Sivaprakasam (ICCVW, 2021)

A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction. - Balamurali Murugesan; Sriprabha Ramanarayanan; Sricharan Vijayarangan; Keerthi Ram; Naranamangalam R. Jagannathan; Mohanasankar Sivaprakasam (Comput. Medical Imaging Graph., 2021)

Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit. - Nicky Nirlipta Sahoo; Balamurali Murugesan; Ayantika Das; Srinivasa Karthik; Keerthi Ram; Steffen Leonhardt; Jayaraj Joseph; Mohanasankar Sivaprakasam (EMBC, 2022)

Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. - Balamurali Murugesan; Sukesh Adiga V; Bingyuan Liu; Herve Lombaert; Ismail Ben Ayed; Jose Dolz (MICCAI (3), 2023)

Calibrating segmentation networks with margin-based label smoothing. - Balamurali Murugesan; Bingyuan Liu; Adrian Galdran; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2023)

MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction. - Sriprabha Ramanarayanan; Balamurali Murugesan; Arun Palla; Keerthi Ram; Ramesh Venkatesan; Mohanasankar Sivaprakasam (Neurocomputing, 2023)

Robust Calibration of Large Vision-Language Adapters. - Balamurali Murugesan; Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (ECCV (24), 2024)

Class and Region-Adaptive Constraints for Network Calibration. - Balamurali Murugesan; Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (MICCAI (8), 2024)

Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. - Balamurali Murugesan; Rukhshanda Hussain; Rajarshi Bhattacharya; Ismail Ben Ayed; Jose Dolz (WACV, 2024)

Do not trust what you trust: Miscalibration in Semi-supervised Learning. - Shambhavi Mishra; Balamurali Murugesan; Ismail Ben Ayed; Marco Pedersoli; Jose Dolz (CoRR, 2024)

Do not trust what you trust: Miscalibration in Semisupervised Learning. - Shambhavi Mishra; Balamurali Murugesan; Ismail Ben Ayed; Marco Pedersoli; Jose Dolz (Trans. Mach. Learn. Res., 2024)

KDPhys: An attention guided 3D to 2D knowledge distillation for real-time video-based physiological measurement. - Nicky Nirlipta Sahoo; Vs Sachidanand; Matcha Naga Gayathri; Balamurali Murugesan; Keerthi Ram; Jayaraj Joseph; Mohanasankar Sivaprakasam (Biomed. Signal Process. Control., 2025)

Neighbor-aware calibration of segmentation networks with penalty-based constraints. - Balamurali Murugesan; Sukesh Adiga Vasudeva; Bingyuan Liu; Herve Lombaert; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2025)