activity
20172021
most citedSample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels

2 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2021

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…

eess.IV20211 cited

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…

eess.IV2021

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…

eess.IV2021

Domain Specific Transporter Framework to Detect Fractures in Ultrasound

Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker +3

Ultrasound examination for detecting fractures is ideally suited for Emergency Departments (ED) as it is relatively fast, safe (from ionizing radiation), has dynamic imaging capabi…

cs.CV20212 cited

Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels

Roberto Vega, Pouneh Gorji, Zichen Zhang +5

Deep learning approaches often require huge datasets to achieve good generalization. This complicates its use in tasks like image-based medical diagnosis, where the small training…

eess.IV20201 cited

A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future

Fatemeh Abdolali, Atefeh Shahroudnejad, Abhilash Rakkunedeth Hareendranathan +3

Thyroid cancer is common worldwide, with a rapid increase in prevalence across North America in recent years. While most patients present with palpable nodules through physical exa…