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20212025
most citedAdaptive Contrast for Image Regression in Computer-Aided Disease Assessment

2 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2025

Contrastive Learning for Semi-Supervised Deep Regression with Generalized Ordinal Rankings from Spectral Seriation

Ce Wang, Weihang Dai, Hanru Bai +1

Contrastive learning methods enforce label distance relationships in feature space to improve representation capability for regression models. However, these methods highly depend…

q-bio.BM2025

A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design

Weihang Dai

Proteins are sequences of amino acids that serve as the basic building blocks of living organisms. Despite rapidly growing databases documenting structural and functional informati…

cs.CV2024

Teach CLIP to Develop a Number Sense for Ordinal Regression

Yao Du, Qiang Zhai, Weihang Dai +1

Ordinal regression is a fundamental problem within the field of computer vision, with customised well-trained models on specific tasks. While pre-trained vision-language models (VL…

cs.CV2023

Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes

Weihang Dai, Xiaomeng Li, Taihui Yu +3

Atrial Fibrillation (AF) is characterized by rapid, irregular heartbeats, and can lead to fatal complications such as heart failure. The disease is divided into two sub-types based…

eess.IV2023★ 1 cited

Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images

Lehan Wang, Weihang Dai, Mei Jin +2

Optical Coherence Tomography (OCT) is a novel and effective screening tool for ophthalmic examination. Since collecting OCT images is relatively more expensive than fundus photogra…

cs.CV2023★ 1 cited

Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks

Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng

Deep regression is an important problem with numerous applications. These range from computer vision tasks such as age estimation from photographs, to medical tasks such as ejectio…

cs.CV2022★ 1 cited

Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos

Weihang Dai, Xiaomeng Li, Xinpeng Ding +1

Left-ventricular ejection fraction (LVEF) is an important indicator of heart failure. Existing methods for LVEF estimation from video require large amounts of annotated data to ach…

cs.CV2021★ 2 cited

Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment

Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu +2

Image regression tasks for medical applications, such as bone mineral density (BMD) estimation and left-ventricular ejection fraction (LVEF) prediction, play an important role in c…