36 citations · 62 across the 5 of their papers we have counts for
5 papers
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…
A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers
Imon Banerjee, Luis de Sisternes, Joelle Hallak +4
We propose a hybrid sequential deep learning model to predict the risk of AMD progression in non-exudative AMD eyes at multiple timepoints, starting from short-term progression (3-…
Intelligent Word Embeddings of Free-Text Radiology Reports
Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman +1
Radiology reports are a rich resource for advancing deep learning applications in medicine by leveraging the large volume of data continuously being updated, integrated, and shared…
Inferring Generative Model Structure with Static Analysis
Paroma Varma, Bryan He, Payal Bajaj +4
Obtaining enough labeled data to robustly train complex discriminative models is a major bottleneck in the machine learning pipeline. A popular solution is combining multiple sourc…