2 citations · 3 across the 3 of their papers we have counts for
4 papers
A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification
Yixuan Liu, Kanwal K. Bhatia, Ahmed E. Fetit
Despite advances in machine learning-based medical image classifiers, the safety and reliability of these systems remain major concerns in practical settings. Existing auditing app…
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation
Jack Highton, Quok Zong Chong, Samuel Finestone +3
Deep learning models for medical image segmentation and object detection are becoming increasingly available as clinical products. However, as details are rarely provided about the…
Contrastive Learning for View Classification of Echocardiograms
Agisilaos Chartsias, Shan Gao, Angela Mumith +4
Analysis of cardiac ultrasound images is commonly performed in routine clinical practice for quantification of cardiac function. Its increasing automation frequently employs deep l…
Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data
Kanwal K. Bhatia, Mark S. Graham, Louise Terry +4
Purpose: To evaluate Pegasus-OCT, a clinical decision support software for the identification of features of retinal disease from macula OCT scans, across heterogenous populations…