18 citations · 36 across the 8 of their papers we have counts for
4 papers · 1 filter
Gradient based Severity Labeling for Biomarker Classification in OCT
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib +2
In this paper, we propose a novel selection strategy for contrastive learning for medical images. On natural images, contrastive learning uses augmentations to select positive and…
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior
Chen Zhou, Ghassan AlRegib, Armin Parchami +1
In smart transportation, intelligent systems avoid potential collisions by predicting the intent of traffic agents, especially pedestrians. Pedestrian intent, defined as future act…
On the Ramifications of Human Label Uncertainty
Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib
Humans exhibit disagreement during data labeling. We term this disagreement as human label uncertainty. In this work, we study the ramifications of human label uncertainty (HLU). O…
Clinical Contrastive Learning for Biomarker Detection
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
This paper presents a novel positive and negative set selection strategy for contrastive learning of medical images based on labels that can be extracted from clinical data. In the…