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Balamurali Murugesan

Showing results (1-10 of 10) with videos related to

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Medical Image Analysis|May 5, 2023
Calibrating segmentation networks with margin-based label smoothingBalamurali Murugesan, Bingyuan Liu, Adrian Galdran, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECGSricharan Vijayarangan, Vignesh R, Balamurali Murugesan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentationBalamurali Murugesan, Kaushik Sarveswaran, Sharath M Shankaranarayana, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia ClassificationSricharan Vijayarangan, Balamurali Murugesan, R Vignesh, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 4, 2021
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstructionBalamurali Murugesan, Sriprabha Ramanarayanan, Sricharan Vijayarangan, et al.
Medical Image Analysis|February 20, 2025
Neighbor-aware calibration of segmentation networks with penalty-based constraintsBalamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet LossSriprabha Ramanarayanan, Balamurali Murugesan, Ananth Kalyanasundaram, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
RespNet: A deep learning model for extraction of respiration from photoplethysmogramVignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Deep learning based non-contact physiological monitoring in Neonatal Intensive Care UnitNicky Nirlipta Sahoo, Balamurali Murugesan, Ayantika Das, et al.
Medical Image Analysis|October 21, 2019
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographsJosé Ignacio Orlando, Huazhu Fu, João Barbosa Breda, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|May 5, 2023
Calibrating segmentation networks with margin-based label smoothingBalamurali Murugesan, Bingyuan Liu, Adrian Galdran, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECGSricharan Vijayarangan, Vignesh R, Balamurali Murugesan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentationBalamurali Murugesan, Kaushik Sarveswaran, Sharath M Shankaranarayana, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia ClassificationSricharan Vijayarangan, Balamurali Murugesan, R Vignesh, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 4, 2021
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstructionBalamurali Murugesan, Sriprabha Ramanarayanan, Sricharan Vijayarangan, et al.
Medical Image Analysis|February 20, 2025
Neighbor-aware calibration of segmentation networks with penalty-based constraintsBalamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet LossSriprabha Ramanarayanan, Balamurali Murugesan, Ananth Kalyanasundaram, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
RespNet: A deep learning model for extraction of respiration from photoplethysmogramVignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Deep learning based non-contact physiological monitoring in Neonatal Intensive Care UnitNicky Nirlipta Sahoo, Balamurali Murugesan, Ayantika Das, et al.
Medical Image Analysis|October 21, 2019
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographsJosé Ignacio Orlando, Huazhu Fu, João Barbosa Breda, et al.
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