5 citations · 6 across the 5 of their papers we have counts for
5 papers
covEcho Resource constrained lung ultrasound image analysis tool for faster triaging and active learning
Jinu Joseph, Mahesh Raveendranatha Panicker, Yale Tung Chen +5
Lung ultrasound (LUS) is possibly the only medical imaging modality which could be used for continuous and periodic monitoring of the lung. This is extremely useful in tracking the…
Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging
Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker +7
Most applications of deep learning techniques in medical imaging are supervised and require a large number of labeled data which is expensive and requires many hours of careful ann…
Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging
Roshan P Mathews, Mahesh Raveendranatha Panicker, Abhilash R Hareendranathan +6
The COVID-19 pandemic has highlighted the need for a tool to speed up triage in ultrasound scans and provide clinicians with fast access to relevant information. The proposed video…
Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos
Arpan Tripathi, Mahesh Raveendranatha Panicker, Abhilash R Hareendranathan +4
Lung ultrasound (LUS) is an increasingly popular diagnostic imaging modality for continuous and periodic monitoring of lung infection, given its advantages of non-invasiveness, non…
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…