568 citations · 751 across the 32 of their papers we have counts for
5 papers · 1 filter
Generalization of Deep Convolutional Neural Networks -- A Case-study on Open-source Chest Radiographs
Nazanin Mashhaditafreshi, Amara Tariq, Judy Wawira Gichoya +1
Deep Convolutional Neural Networks (DCNNs) have attracted extensive attention and been applied in many areas, including medical image analysis and clinical diagnosis. One major cha…
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…
Artificial Intelligence for Global Health: Learning From a Decade of Digital Transformation in Health Care
Varoon Mathur, Saptarshi Purkayastha, Judy Wawira Gichoya
The health needs of those living in resource-limited settings are a vastly overlooked and understudied area in the intersection of machine learning (ML) and health care. While the…
A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images
Pradeeban Kathiravelu, Puneet Sharma, Ashish Sharma +7
Executing machine learning (ML) pipelines in real-time on radiology images is hard due to the limited computing resources in clinical environments and the lack of efficient data tr…
Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes
A. K. Bhavani Singh, Mounika Guntu, Ananth Reddy Bhimireddy +2
In the United States, 25% or greater than 200 billion dollars of hospital spending accounts for administrative costs that involve services for medical coding and billing. With the…