175 citations · 337 across the 15 of their papers we have counts for
16 papers
PhysioAI: Clinical Knowledge-Guided Semantic Supervision for Skeleton-Based Physiotherapy Action Recognition
Jie Cao, Euijoon Ahn, Anwar Hassan +1
Skeleton-based action recognition can support automated tracking of physiotherapy exercises, particularly in remote rehabilitation settings where continuous in-person supervision i…
Heterogeneity-Aware Deep Learning for Tumour Classification from Multiparametric MRI
Yue Xia, Euijoon Ahn, Tian Xia +3
Intra-tumoural heterogeneity (ITH) reflects spatial variation in tumour biology and is an important determinant of tumour behaviour, prognosis, and treatment response. Radiomics an…
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…