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From the 1 of 10 linked papers with an AI index.

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10 papers

cs.CV2026

Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Yipei Wang, Shiqi Huang, Wen Yan +6

The paper introduces an adversarial causal‑reasoning framework to identify which clinical covariates help or hinder deep‑learning models for prostate MRI cancer grading, showing th…

cs.CV2026

Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability

Qi Li, Yuliang Huang, Shaheer U. Saeed +7

Deep learning-based medical image segmentation models are trained using annotations that exhibit systematic bias and variability across raters. While probabilistic multi-rater appr…

cs.CV2026

Deep EM with Hierarchical Latent Label Modelling for Multi-Site Prostate Lesion Segmentation

Wen Yan, Yipei Wang, Shiqi Huang +5

Label variability is a major challenge for prostate lesion segmentation. In multi-site datasets, annotations often reflect centre-specific contouring protocols, causing segmentatio…

cs.CV2026

Maximizing T2-Only Prostate Cancer Localization from Expected Diffusion Weighted Imaging

Weixi Yi, Yipei Wang, Wen Yan +10

Multiparametric MRI is increasingly recommended as a first-line noninvasive approach to detect and localize prostate cancer, requiring at minimum diffusion-weighted (DWI) and T2-we…

eess.IV2026

On the Degrees of Freedom of Gridded Control Points in Learning-Based Medical Image Registration

Wen Yan, Qianye Yang, Yipei Wang +5

Many registration problems are ill-posed in homogeneous or noisy regions, and dense voxel-wise decoders can be unnecessarily high-dimensional. A sparse control-point parameterisati…

cs.CV2026

ProFound: A moderate-sized vision foundation model for multi-task prostate imaging

Yipei Wang, Yinsong Xu, Weixi Yi +11

Many diagnostic and therapeutic clinical tasks for prostate cancer increasingly rely on multi-parametric MRI. Automating these tasks is challenging because they necessitate expert…