55 citations · 101 across the 7 of their papers we have counts for
3 papers · 1 filter
Comparing radiologists' gaze and saliency maps generated by interpretability methods for chest x-rays
Ricardo Bigolin Lanfredi, Ambuj Arora, Trafton Drew +2
The interpretability of medical image analysis models is considered a key research field. We use a dataset of eye-tracking data from five radiologists to compare the outputs of int…
Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network
Muhammad F. A. Chaudhary, Sarah E. Gerard, Di Wang +5
Local tissue expansion of the lungs is typically derived by registering computed tomography (CT) scans acquired at multiple lung volumes. However, acquiring multiple scans incurs i…
REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays
Ricardo Bigolin Lanfredi, Mingyuan Zhang, William F. Auffermann +6
Deep learning has shown recent success in classifying anomalies in chest x-rays, but datasets are still small compared to natural image datasets. Supervision of abnormality localiz…