82 citations · 163 across the 5 of their papers we have counts for
6 papers
Video to All-in-focus Image Reconstruction Algorithm for Automated Microscopic Urinalysis
Chinmay Nema, Hari Om Aggrawal, Dipam Goswami +2
Microscopic urinalysis is a routine diagnostic test at hospitals. Recent studies have demonstrated the effectiveness of deep learning methods to automate microscopic urinalysis. Th…
Realistic wave-optics simulation of X-ray dark-field imaging at a human scale
Yongjin Sung, Brandon Nelson, Rajiv Gupta
Background: X-ray dark-field imaging (XDFI) has been explored to provide superior performance over the conventional X-ray imaging for the diagnosis of many pathologic conditions. A…
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
Farhad Maleki, Katie Ovens, Rajiv Gupta +3
Purpose: Despite the potential of machine learning models, the lack of generalizability has hindered their widespread adoption in clinical practice. We investigate three methodolog…
Urine Microscopic Image Dataset
Dipam Goswami, Hari Om Aggrawal, Rajiv Gupta +1
Urinalysis is a standard diagnostic test to detect urinary system related problems. The automation of urinalysis will reduce the overall diagnostic time. Recent studies used urine…
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic
Ramesh Raskar, Isabel Schunemann, Rachel Barbar +29
Containment, the key strategy in quickly halting an epidemic, requires rapid identification and quarantine of the infected individuals, determination of whom they have had close co…
Split Learning for collaborative deep learning in healthcare
Maarten G. Poirot, Praneeth Vepakomma, Ken Chang +3
Shortage of labeled data has been holding the surge of deep learning in healthcare back, as sample sizes are often small, patient information cannot be shared openly, and multi-cen…