activity
20202022
most citedA deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction

13 citations · 23 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SP2022★ 1 cited

EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation

Vaibhav Joshi, Sricharan V, Preejith SP +1

An electroencephalogram (EEG) signal is currently accepted as a standard for automatic sleep staging. Lately, Near-human accuracy in automated sleep staging has been achievable by…

eess.IV2022★ 13 cited

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 +3

Deep learning networks have shown promising results in fast magnetic resonance imaging (MRI) reconstruction. In our work, we develop deep networks to further improve the quantitati…

eess.SP2021

Multitask Network for Respiration Rate Estimation -- A Practical Perspective

Kapil Singh Rathore, Sricharan Vijayarangan, Preejith SP +1

The exponential rise in wearable sensors has garnered significant interest in assessing the physiological parameters during day-to-day activities. Respiration rate is one of the vi…

math.CO2021★ 2 cited

Hamilton Paths in Dominating Graphs of Trees and Cycles

Kira Adaricheva, Heather Smith Blake, Chassidy Bozeman +4

The dominating graph of a graph has as its vertices all dominating sets of , with an edge between two dominating sets if one can be obtained from the other by the addition o…

eess.SP2020

RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG

Sricharan Vijayarangan, Vignesh R, Balamurali Murugesan +3

Automatic detection of R-peaks in an Electrocardiogram signal is crucial in a multitude of applications including Heart Rate Variability (HRV) analysis and Cardio Vascular Disease(…

eess.SP2020

Robust Modelling of Reflectance Pulse Oximetry for SpO Estimation

Sricharan Vijayarangan, Prithvi Suresh, Preejith SP +2

Continuous monitoring of blood oxygen saturation levels is vital for patients with pulmonary disorders. Traditionally, SpO monitoring has been carried out using transmittance p…

eess.SP2020

Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification

Sricharan Vijayarangan, Balamurali Murugesan, Vignesh R +3

Cardiac arrhythmia is a prevalent and significant cause of morbidity and mortality among cardiac ailments. Early diagnosis is crucial in providing intervention for patients sufferi…

eess.IV2020★ 7 cited

KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow

Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran +2

Deep learning networks are being developed in every stage of the MRI workflow and have provided state-of-the-art results. However, this has come at the cost of increased computatio…