25 citations · 31 across the 6 of their papers we have counts for
6 papers
HyperWalker: Dynamic Hypergraph-Based Deep Diagnosis for Multi-Hop Clinical Modeling across EHR and X-Ray in Medical VLMs
Yuezhe Yang, Hao Wang, Yige Peng +2
Automated clinical diagnosis remains a core challenge in medical AI, which usually requires models to integrate multi-modal data and reason across complex, case-specific contexts.…
Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function
Shijia Zhou, Euijoon Ahn, Hao Wang +5
The measurement of fetal thalamus diameter (FTD) and fetal head circumference (FHC) are crucial in identifying abnormal fetal thalamus development as it may lead to certain neurops…
GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement
Hao Wang, Euijoon Ahn, Jinman Kim
Remote physiological measurement (RPM) is an essential tool for healthcare monitoring as it enables the measurement of physiological signs, e.g., heart rate, in a remote setting vi…
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification
Hao Wang, Euijoon Ahn, Lei Bi +1
The clinical diagnosis of skin lesion involves the analysis of dermoscopic and clinical modalities. Dermoscopic images provide a detailed view of the surface structures whereas cli…
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images
Hao Wang, Euijoon Ahn, Jinman Kim
Supervised deep learning methods have achieved considerable success in medical image analysis, owing to the availability of large-scale and well-annotated datasets. However, creati…
Self-supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss
Hao Wang, Euijoon Ahn, Jinman Kim
Recent advances in supervised deep learning methods are enabling remote measurements of photoplethysmography-based physiological signals using facial videos. The performance of the…