Yuebin Liang

MORIME: A multi-objective RIME optimization framework for efficient truss design

Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications

ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data

Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning