activity
20212023
most citedAn Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19

5 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2023

Towards Non-contact 3D Ultrasound for Wrist Imaging

Antony Jerald, A. N. Madhavanunni, Gayathri Malamal +1

Objective: The objective of this work is an attempt towards non-contact freehand 3D ultrasound imaging with minimal complexity added to the existing point of care ultrasound (POCUS…

eess.IV2023

Fast Marching based Tissue Adaptive Delay Estimation for Aberration Corrected Delay and Sum Beamforming in Ultrasound Imaging

M. S. Asif, Gayathri Malamal, A. N. Madhavanunni +5

Conventional ultrasound (US) imaging employs the delay and sum (DAS) receive beamforming with dynamic receive focus for image reconstruction due to its simplicity and robustness. H…

eess.IV2023

A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanical Track

Antony Jerald, A. N. Madhavanunni, Gayathri Malamal +2

Ultrasound imaging is the most popular medical imaging modality for point-of-care bedside imaging. However, 2D ultrasound imaging provides only limited views of the organ of intere…

eess.SP2022

Learning while Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging

Mayank Katare, Mahesh Raveendranatha Panicker, A N Madhavanunni +1

In the recent past, there have been many efforts to accelerate adaptive beamforming for ultrasound (US) imaging using neural networks (NNs). However, most of these efforts are base…

eess.IV2021★ 1 cited

A Performance Investigation of Receive Beamforming Schemes in Specular Tissue Characterization

Gayathri Malamal, Mahesh Raveendranatha Panicker

This work presents a comparison of the delay and sum (DAS), filtered delay multiply and sum (DMAS), minimum variance (MV) and specular receive beamforming schemes in the context of…

eess.IV2021★ 5 cited

An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19

Mahesh Raveendranatha Panicker, Yale Tung Chen, Gayathri M +4

Ultrasound is fast becoming an inevitable diagnostic tool for regular and continuous monitoring of the lung with the recent outbreak of COVID-19. In this work, a novel approach is…