Balamurali Murugesan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 46

Top Topics

Weakly Supervised

Image Reconstruction

Laplacian Pyramid

Convolutional Neural Networks

Top Venues

Publications

Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
Do not trust what you trust: Miscalibration in Semi-supervised Learning. CoRR (2024)
Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints. CoRR (2024)
Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
Class and Region-Adaptive Constraints for Network Calibration. CoRR (2024)
Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
Robust Calibration of Large Vision-Language Adapters. CoRR (2024)
Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. WACV (2024)
Sriprabha Ramanarayanan, Balamurali Murugesan, Arun Palla, Keerthi Ram, Ramesh Venkatesan, Mohanasankar Sivaprakasam
MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction. Neurocomputing 554 (2023)
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. 87 (2023)
Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. CoRR (2023)
Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
Trust your neighbours: Penalty-based constraints for model calibration. CoRR (2023)
Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz
Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. MICCAI (3) (2023)
Nicky Nirlipta Sahoo, Balamurali Murugesan, Ayantika Das, Srinivasa Karthik, Keerthi Ram, Steffen Leonhardt, Jayaraj Joseph, Mohanasankar Sivaprakasam
Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit. CoRR (2022)
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR (2022)
Balamurali Murugesan, Sriprabha Ramanarayanan, Sricharan Vijayarangan, Keerthi Ram, Naranamangalam R. Jagannathan, Mohanasankar Sivaprakasam
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction. CoRR (2022)
Nicky Nirlipta Sahoo, Balamurali Murugesan, Ayantika Das, Srinivasa Karthik, Keerthi Ram, Steffen Leonhardt, Jayaraj Joseph, Mohanasankar Sivaprakasam
Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit. EMBC (2022)
Supriti Mulay, Keerthi Ram, Balamurali Murugesan, Mohanasankar Sivaprakasam
Style Transfer based Coronary Artery Segmentation in X-ray Angiogram. ICCVW (2021)
Balamurali Murugesan, Sriprabha Ramanarayanan, Sricharan Vijayarangan, Keerthi Ram, Naranamangalam R. Jagannathan, Mohanasankar Sivaprakasam
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction. Comput. Medical Imaging Graph. 91 (2021)
Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction. CoRR (2021)
Sricharan Vijayarangan, Vignesh Ravichandran, Balamurali Murugesan, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG. CoRR (2020)
Amrit Kumar Jethi, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam
Dual-Encoder-Unet For Fast Mri Reconstruction. ISBI Workshops (2020)
Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow. MIDL (2020)
JayaChandra Raju, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam
AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesis. MLMIR@MICCAI (2020)
Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow. CoRR (2020)
Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction. MIDL (2020)
Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam
DC-WCNN: A Deep Cascade of Wavelet Based Convolutional Neural Networks for MR Image Reconstruction. ISBI (2020)
Sricharan Vijayarangan, Vignesh Ravichandran, Balamurali Murugesan, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG. EMBC (2020)
Sriprabha Ramanarayanan, Balamurali Murugesan, Ananth Kalyanasundaram, Surya Prabhakaran, Keerthi Ram, Shantanu Patil, Mohanasankar Sivaprakasam
MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet Loss. EMBC (2020)
Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam
DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction. CoRR (2020)
Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
A context based deep learning approach for unbalanced medical image segmentation. CoRR (2020)
Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. CoRR (2020)
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, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020)
Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation. ISBI (2020)
Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. EMBC (2020)
Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
Deep Network for Capacitive ECG Denoising. CoRR (2019)
Balamurali Murugesan, Vijaya Raghavan S, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction. CoRR (2019)
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, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR (2019)
Balamurali Murugesan, Vijaya Raghavan S, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam
Recon-GLGAN: A Global-Local Context Based Generative Adversarial Network for MRI Reconstruction. MLMIR@MICCAI (2019)
Balamurali Murugesan, Sakthivel Selvaraj, Kaushik Sarveswaran, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
Deep detection and classification of mitotic figures. Medical Imaging: Digital Pathology (2019)
Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
Deep Network for Capacitive ECG Denoising. MeMeA (2019)
Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
RespNet: A deep learning model for extraction of respiration from photoplethysmogram. EMBC (2019)
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. CoRR (2019)
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. MLMI@MICCAI (2019)
Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Sharath M. Shankaranarayana, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam
RespNet: A deep learning model for extraction of respiration from photoplethysmogram. CoRR (2019)
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation. EMBC (2019)
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
Joint shape learning and segmentation for medical images using a minimalistic deep network. CoRR (2019)
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. CoRR (2019)
Balamurali Murugesan, Vignesh Ravichandran, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Sharath M. Shankaranarayana, Mohanasankar Sivaprakasam
ECGNet: Deep Network for Arrhythmia Classification. MeMeA (2018)