27 citations · 41 across the 9 of their papers we have counts for
11 papers
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets
Ananth Reddy Bhimireddy, John Lee Burns, Saptarshi Purkayastha +1
Deep learning approaches applied to medical imaging have reached near-human or better-than-human performance on many diagnostic tasks. For instance, the CheXpert competition on det…
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System
Xiaoyuan Guo, Jiali Duan, Saptarshi Purkayastha +3
Improving the retrieval relevance on noisy datasets is an emerging need for the curation of a large-scale clean dataset in the medical domain. While existing methods can be applied…
Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data
Bolu Oluwalade, Sunil Neela, Judy Wawira +2
In recent years, human activity recognition has garnered considerable attention both in industrial and academic research because of the wide deployment of sensors, such as accelero…
Usability and Security of Different Authentication Methods for an Electronic Health Records System
Saptarshi Purkayastha, Shreya Goyal, Bolu Oluwalade +3
We conducted a survey of 67 graduate students enrolled in the Privacy and Security in Healthcare course at Indiana University Purdue University Indianapolis. This was done to measu…
Enabling Secure and Effective Biomedical Data Sharing through Cyberinfrastructure Gateways
Shreya Goyal, Saptarshi Purkayastha, Tyler Phillips +2
Dynaswap project reports on developing a coherently integrated and trustworthy holistic secure workflow protection architecture for cyberinfrastructures which can be used on virtua…
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications
Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha +5
Purpose: Since the recent COVID-19 outbreak, there has been an avalanche of research papers applying deep learning based image processing to chest radiographs for detection of the…