Search Results for author: Vincent Wai-Sun Wong

Found 5 papers, 1 papers with code

Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior

no code implementations2 Jul 2024 Chaoxing Huang, Ziqiang Yu, Zijian Gao, Qiuyi Shen, Queenie Chan, Vincent Wai-Sun Wong, Winnie Chiu-Wing Chu, Weitian Chen

This study evaluated a deep learning-based method using Deep Image Prior (DIP) to quantify triglyceride double bonds from chemical-shift encoded multi-echo gradient echo images without network training.

Prompting Vision Foundation Models for Pathology Image Analysis

1 code implementation CVPR 2024 CHONG YIN, SiQi Liu, Kaiyang Zhou, Vincent Wai-Sun Wong, Pong C. Yuen

QAP is based on two quantitative attributes namely K-function-based spatial attributes and histogram-based morphological attributes which are aimed for quantitative assessment of tissue states.

Uncertainty-Aware Self-supervised Neural Network for Liver $T_{1ρ}$ Mapping with Relaxation Constraint

no code implementations7 Jul 2022 Chaoxing Huang, Yurui Qian, Simon Chun Ho Yu, Jian Hou, Baiyan Jiang, Queenie Chan, Vincent Wai-Sun Wong, Winnie Chiu-Wing Chu, Weitian Chen

Epistemic uncertainty and aleatoric uncertainty are modelled for the $T_{1\rho}$ quantification network to provide a Bayesian confidence estimation of the $T_{1\rho}$ mapping.

Self-Supervised Learning

Temporal Matrix Completion with Locally Linear Latent Factors for Medical Applications

no code implementations31 Oct 2016 Frodo Kin Sun Chan, Andy J. Ma, Pong C. Yuen, Terry Cheuk-Fung Yip, Yee-Kit Tse, Vincent Wai-Sun Wong, Grace Lai-Hung Wong

Regular medical records are useful for medical practitioners to analyze and monitor patient health status especially for those with chronic disease, but such records are usually incomplete due to unpunctuality and absence of patients.

Imputation Matrix Completion +1

Cannot find the paper you are looking for? You can Submit a new open access paper.