4 citations · 6 across the 5 of their papers we have counts for
5 papers
Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation
Jing Jin, Xu Liu, Te Gao +6
Whole Slide Image (WSI) representation is critical for cancer subtyping, cancer recognition and mutation prediction.Training an end-to-end WSI representation model poses significan…
Asymmetric Patch Sampling for Contrastive Learning
Chengchao Shen, Jianzhong Chen, Shu Wang +3
Asymmetric appearance between positive pair effectively reduces the risk of representation degradation in contrastive learning. However, there are still a mass of appearance simila…
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
Jin Liu, Junbin Mao, Hanhe Lin +6
Due to its complexity, graph learning-based multi-modal integration and classification is one of the most challenging obstacles for disease prediction. To effectively offset the ne…
Exploring Contextual Relationships for Cervical Abnormal Cell Detection
Yixiong Liang, Shuo Feng, Qing Liu +5
Cervical abnormal cell detection is a challenging task as the morphological discrepancies between abnormal and normal cells are usually subtle. To determine whether a cervical cell…
MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation
Xu Tian, Jin Liu, Hulin Kuang +3
Accurately detecting Alzheimer's disease (AD) and predicting mini-mental state examination (MMSE) score are important tasks in elderly health by magnetic resonance imaging (MRI). M…