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2020 – today
- 2024
[c22]Balamurali Murugesan
, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Robust Calibration of Large Vision-Language Adapters. ECCV (24) 2024: 147-165- [c21]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Class and Region-Adaptive Constraints for Network Calibration. MICCAI (8) 2024: 57-67 - [c20]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: 290-301 - [i22]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 abs/2401.14487 (2024) - [i21]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Class and Region-Adaptive Constraints for Network Calibration. CoRR abs/2403.12364 (2024) - [i20]Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
Do not trust what you trust: Miscalibration in Semi-supervised Learning. CoRR abs/2403.15567 (2024) - [i19]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Robust Calibration of Large Vision-Language Adapters. CoRR abs/2407.13588 (2024) - 2023
- [j4]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: 126606 (2023) - [j3]Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz:
Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. 87: 102826 (2023) - [c19]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: 572-581 - [i18]Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz:
Trust your neighbours: Penalty-based constraints for model calibration. CoRR abs/2303.06268 (2023) - [i17]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 abs/2307.00097 (2023) - 2022
- [c18]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: 1327-1330 - [i16]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 abs/2207.01791 (2022) - [i15]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 abs/2207.11886 (2022) - [i14]Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz:
Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR abs/2209.09641 (2022) - 2021
- [j2]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: 101942 (2021) - [c17]Supriti Mulay, Keerthi Ram, Balamurali Murugesan, Mohanasankar Sivaprakasam:
Style Transfer based Coronary Artery Segmentation in X-ray Angiogram. ICCVW 2021: 3386-3394 - [i13]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 abs/2111.05055 (2021) - 2020
- [j1]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) - [c16]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: 300-303 - [c15]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: 345-348 - [c14]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: 1584-1587 - [c13]Amrit Kumar Jethi, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
Dual-Encoder-Unet For Fast Mri Reconstruction. ISBI Workshops 2020: 1-4 - [c12]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: 1069-1073 - [c11]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: 1949-1953 - [c10]JayaChandra Raju, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesis. MLMIR@MICCAI 2020: 102-110 - [c9]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: 515-526 - [c8]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: 696-708 - [i12]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 abs/2001.02387 (2020) - [i11]Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction. CoRR abs/2001.02397 (2020) - [i10]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 abs/2004.05319 (2020) - [i9]Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. CoRR abs/2004.05399 (2020) - [i8]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 abs/2004.08103 (2020)
2010 – 2019
- 2019
- [c7]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: 5556-5559 - [c6]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: 7223-7226 - [c5]Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep Network for Capacitive ECG Denoising. MeMeA 2019: 1-6 - [c4]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: 3-15 - [c3]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: 292-300 - [c2]Balamurali Murugesan, Sakthivel Selvaraj, Kaushik Sarveswaran, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep detection and classification of mitotic figures. Digital Pathology 2019: 109560T - [i7]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 abs/1901.08824 (2019) - [i6]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 abs/1902.04099 (2019) - [i5]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 abs/1902.04236 (2019) - [i4]Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep Network for Capacitive ECG Denoising. CoRR abs/1903.12536 (2019) - [i3]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 abs/1908.05311 (2019) - [i2]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 abs/1908.09262 (2019) - [i1]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 abs/1910.03667 (2019) - 2018
- [c1]Balamurali Murugesan, Vignesh Ravichandran, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Sharath M. Shankaranarayana, Mohanasankar Sivaprakasam:
ECGNet: Deep Network for Arrhythmia Classification. MeMeA 2018: 1-6
Coauthor Index
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