68 citations · 117 across the 11 of their papers we have counts for
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cs.CV2026
MedSAD-CLIP: Supervised CLIP with Token-Patch Cross-Attention for Medical Anomaly Detection and Segmentation
Thuy Truong Tran, Minh Kha Do, Phuc Nguyen Duy +1
Medical anomaly detection (MAD) and segmentation play a critical role in assisting clinical diagnosis by identifying abnormal regions in medical images and localizing pathological…
cs.CV2024
Towards Gradient-based Time-Series Explanations through a SpatioTemporal Attention Network
Min Hun Lee
In this paper, we explore the feasibility of using a transformer-based, spatiotemporal attention network (STAN) for gradient-based time-series explanations. First, we trained the S…
cs.CV2024★ 1 cited
Exploring a Multimodal Fusion-based Deep Learning Network for Detecting Facial Palsy
Heng Yim Nicole Oo, Min Hun Lee, Jeong Hoon Lim
Algorithmic detection of facial palsy offers the potential to improve current practices, which usually involve labor-intensive and subjective assessment by clinicians. In this pape…