Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays

SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding

Modeling genotype–protein interaction and correlation for Alzheimer’s disease: a multi-omics imaging genetics study

Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study

MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs

BrLP (Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge)

Longitudinal changes in subcortical functional connectivity during Alzheimer’s disease progression

Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition

Insulin resistance prediction from wearables and routine blood biomarkers

GNNExplainer: Generating Explanations for Graph Neural Networks

Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

RETAIN: An Interpretable Predictive Model for
Healthcare using Reverse Time Attention Mechanism

An expanding manifold in transmodal regions characterizes adolescent reconfiguration of structural connectome organization

DistDiff (Distribution-Aware Data Expansion with Diffusion Models)

M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Imag

Dual-stream multi-dependency graph neural network enables precise cancer survival analysis