Balamurali Murugesan

According to our database, Balamurali Murugesan authored at least 32 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints.

Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Class and Region-Adaptive Constraints for Network Calibration.

Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Robust Calibration of Large Vision-Language Adapters.

Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz

Proceedings of the Computer Vision - ECCV 2024, 2024

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, October, 2023

Calibrating segmentation networks with margin-based label smoothing.

Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz

Medical Image Anal., 2023

Trust Your Neighbours: Penalty-Based Constraints for Model Calibration.

Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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

Style Transfer based Coronary Artery Segmentation in X-ray Angiogram.

Supriti Mulay, Keerthi Ram, Balamurali Murugesan, Mohanasankar Sivaprakasam

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

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, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic

Medical Image Anal., 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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesis.

JayaChandra Raju, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

DC-WCNN: A Deep Cascade of Wavelet Based Convolutional Neural Networks for MR Image Reconstruction.

Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Dual-Encoder-Unet For Fast Mri Reconstruction.

Amrit Kumar Jethi, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification.

Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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, 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

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

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

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

Deep detection and classification of mitotic figures.

Balamurali Murugesan, Sakthivel Selvaraj, Kaushik Sarveswaran, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the Medical Imaging 2019: Digital Pathology, 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

Proceedings of the Machine Learning for Medical Image Reconstruction, 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

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Deep Network for Capacitive ECG Denoising.

Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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, Jayaraj Joseph, Mohanasankar Sivaprakasam

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

ECGNet: Deep Network for Arrhythmia Classification.

Balamurali Murugesan, Vignesh Ravichandran, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Sharath M. Shankaranarayana, Mohanasankar Sivaprakasam

Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018