Yuanshen Zhao

The Key Laboratory Of Biomedical Imaging Science And System, State Key Laboratory Of Biomedical Imaging Science And System
Shenzhen, China

Last Updated: 09/26/2026

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Found 19 publications

Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis.

Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis.

Journal: IEEE journal of biomedical and health informatics

Published: August 07, 2026

Machine learning model on multi-omics data enables risk stratification and identifies molecular heterogeneity and therapeutic targets in glioblastoma.

Machine learning model on multi-omics data enables risk stratification and identifies molecular heterogeneity and therapeutic targets in glioblastoma.

Journal: Molecular cancer

Published: September 01, 2025

Discovering proteo-transcriptomic networks via biologically informed heterogeneous graph learning.

Discovering proteo-transcriptomic networks via biologically informed heterogeneous graph learning.

Journal: Nucleic acids research

Published: April 30, 2025

Integrating radiology and histology via co-attention deep learning for predicting progression-free survival in patients with metastatic prostate cancer.

Integrating radiology and histology via co-attention deep learning for predicting progression-free survival in patients with metastatic prostate cancer.

Journal: Chinese medical journal

Published: December 05, 2024

Multimodal fusion of radio-pathology and proteogenomics identify integrated glioma subtypes with prognostic and therapeutic opportunities.

Multimodal fusion of radio-pathology and proteogenomics identify integrated glioma subtypes with prognostic and therapeutic opportunities.

Journal: Nature communications

Published: August 29, 2024

Computational Pathology for Prediction of Isocitrate Dehydrogenase Gene Mutation from Whole Slide Images in Adult Patients with Diffuse Glioma.

Computational Pathology for Prediction of Isocitrate Dehydrogenase Gene Mutation from Whole Slide Images in Adult Patients with Diffuse Glioma.

Journal: The American journal of pathology

Published: September 16, 2023

Imaging-proteomic analysis for prediction of neoadjuvant chemotherapy responses in patients with breast cancer.

Imaging-proteomic analysis for prediction of neoadjuvant chemotherapy responses in patients with breast cancer.

Journal: Cancer medicine

Published: July 05, 2023

A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer.

A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer.

Journal: Abdominal radiology (New York)

Published: May 11, 2023

Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study.

Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study.

Journal: Molecular oncology

Published: October 28, 2022

Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomas.

Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomas.

Journal: BMC cancer

Published: October 25, 2022

Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images.

Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images.

Journal: Nature communications

Published: June 12, 2022

Image-based deep learning identifies glioblastoma risk groups with genomic and transcriptomic heterogeneity: a multi-center study.

Image-based deep learning identifies glioblastoma risk groups with genomic and transcriptomic heterogeneity: a multi-center study.

Journal: European radiology

Published: April 12, 2022

Showing 1-12 of 19

Last Updated: 09/26/2026