1 citations · 1 across the 6 of their papers we have counts for
8 papers
Disentangling and Fusing Neurostructural and Vascular Ageing for Retinal Age Prediction
Junwen Zheng, Li Rong Wang, Anthony Zihan Lin +6
Estimating biological age is an important task in ageing research, as it quantifies individual ageing trajectories beyond chronological age. Retinal age estimation has become a wel…
Explainable Uncertainty Estimation for Reliable Medical AI
Li Rong Wang, Jamie Duell, Xinran Xu +6
Artificial intelligence has strong potential to support clinical decision-making, yet its adoption in healthcare remains limited due to a lack of trust. Uncertainty estimation can…
CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model
Xinran Xu, Xiuyi Fan
Accurate estimation of uncertainty in deep learning is critical for deploying models in high-stakes domains such as medical diagnosis and autonomous decision-making, where overconf…
Robust Uncertainty Estimation under Distribution Shift via Difference Reconstruction
Xinran Xu, Li Rong Wang, Xiuyi Fan
Estimating uncertainty in deep learning models is critical for reliable decision-making in high-stakes applications such as medical imaging. Prior research has established that the…
Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation
Junwen Zheng, Xinran Xu, Li Rong Wang +5
Deep learning has demonstrated expert-level performance in melanoma classification, positioning it as a powerful tool in clinical dermatology. However, model opacity and the lack o…
WMKA-Net: A Weighted Multi-Kernel Attention Network for Retinal Vessel Segmentation
Xinran Xu, Yuliang Ma, Sifu Cai +3
Retinal vessel segmentation is crucial for intelligent ophthalmic diagnosis, yet it faces three major challenges: insufficient multi-scale feature fusion, disruption of contextual…
Fully Automated CTC Detection, Segmentation and Classification for Multi-Channel IF Imaging
Evan Schwab, Bharat Annaldas, Nisha Ramesh +6
Liquid biopsies (eg., blood draws) offer a less invasive and non-localized alternative to tissue biopsies for monitoring the progression of metastatic breast cancer (mBCa). Immunof…
EPIHC: Improving Enhancer-Promoter Interaction Prediction by using Hybrid features and Communicative learning
Shuai Liu, Xinran Xu, Zhihao Yang +2
Enhancer-promoter interactions (EPIs) regulate the expression of specific genes in cells, and EPIs are important for understanding gene regulation, cell differentiation and disease…