Xiaojian Wu

Latest

A Longitudinal MRI-Based Artificial Intelligence System to Predict Pathological Complete Response After Neoadjuvant Therapy in Rectal Cancer: A Multicenter Validation Study
Senescence-based colorectal cancer subtyping reveals distinct molecular characteristics and therapeutic strategies
Immunological profiling of human colorectal cancer defines four distinct molecular subtypes
CT-based radiogenomic analysis dissects intratumor heterogeneity and predicts prognosis of colorectal cancer: a multi-institutional retrospective study
Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images
A tumor immune microenvironment-related lncRNA signature for the prognosis and immunotherapeutic sensitivity prediction in colorectal cancer.
Multi-size deep learning based preoperative computed tomography signature for prognosis prediction of colorectal cancer
PIANOS: A platform independent and normalization free single-sample classifier for colorectal cancer
The growth pattern of liver metastases on MRI predicts early recurrence in patients with colorectal cancer: a multicenter study
A model combing an immune-related genes signature and an extracellular matrix-related genes signature in predicting prognosis of left-and right-sided colon cancer
Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer.
Genome-wide analysis indicating cancer associated fibroblast (CAF) impacts on colorectal cancer (CRC) prognosis via immunosuppression.
Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer.
Multi-omics longitudinal analyses in stages I to III CRC patients: Surveillance liquid biopsy test to predict early recurrence and enable risk-stratified postoperative CRC management.
Predicting treatment response from longitudinal images using multi-task deep learning
A novel cell-free DNA methylation-based model improves the early detection of colorectal cancer
Multiomics-based colorectal cancer molecular subtyping using local scaling network fusion
Integrating diffusion components of multi-omics datasets with application to cancer molecular subtyping
Development of a novel liquid biopsy test to diagnose and locate gastrointestinal cancers
Multiomics-Based Colorectal Cancer Molecular Subtyping Using Local Scaling Network Fusion
Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients