Hexiang X. Wang

16 Jiangsu Road
Qingdao, 266003, China

Last Updated: 09/26/2026

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Found 51 publications

Radiograph-based Deep Learning Algorithm for Assisting Bone Tumor Risk Assessment: A Multicenter Study.

Radiograph-based Deep Learning Algorithm for Assisting Bone Tumor Risk Assessment: A Multicenter Study.

Journal: Radiology

Published: July 28, 2026

A stromal-immune computational pathology signature for prognosis and immune checkpoint inhibitor response in localized, locally advanced and metastatic urothelial carcinoma: A multicenter retrospective study.

A stromal-immune computational pathology signature for prognosis and immune checkpoint inhibitor response in localized, locally advanced and metastatic urothelial carcinoma: A multicenter retrospective study.

Journal: European journal of cancer (Oxford, England : 1990)

Published: June 03, 2026

NOTCH3 regulates myofibroblastic CAF differentiation via the P62-ROS signaling axis to promote bladder cancer progression.

NOTCH3 regulates myofibroblastic CAF differentiation via the P62-ROS signaling axis to promote bladder cancer progression.

Journal: Journal of experimental & clinical cancer research : CR

Published: March 12, 2026

Multimodal deep learning framework for recurrence risk stratification in soft tissue sarcoma: a multicenter study.

Multimodal deep learning framework for recurrence risk stratification in soft tissue sarcoma: a multicenter study.

Journal: NPJ precision oncology

Published: July 27, 2025

MRI-derived radiomics model for predicting intratumoral tertiary lymphoid structures in soft tissue sarcoma.

MRI-derived radiomics model for predicting intratumoral tertiary lymphoid structures in soft tissue sarcoma.

Journal: Insights into imaging

Published: June 11, 2025

An interpretable CT-based deep learning model for predicting overall survival in patients with bladder cancer: a multicenter study.

An interpretable CT-based deep learning model for predicting overall survival in patients with bladder cancer: a multicenter study.

Journal: NPJ precision oncology

Published: April 18, 2025

A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study.

A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society

Published: January 12, 2025

Enhanced risk stratification for stage II colorectal cancer using deep learning-based CT classifier and pathological markers to optimize adjuvant therapy decision.

Enhanced risk stratification for stage II colorectal cancer using deep learning-based CT classifier and pathological markers to optimize adjuvant therapy decision.

Journal: Annals of oncology : official journal of the European Society for Medical Oncology

Published: January 10, 2025

ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning.

ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning.

Journal: IEEE journal of biomedical and health informatics

Published: October 22, 2024

Unsupervised learning-based quantitative analysis of CT intratumoral subregions predicts risk stratification of bladder cancer patients.

Unsupervised learning-based quantitative analysis of CT intratumoral subregions predicts risk stratification of bladder cancer patients.

Journal: BMC medicine

Published: August 11, 2024

Development and validation of a CT-based deep learning radiomics signature to predict lymph node metastasis in oropharyngeal squamous cell carcinoma: a multicentre study.

Development and validation of a CT-based deep learning radiomics signature to predict lymph node metastasis in oropharyngeal squamous cell carcinoma: a multicentre study.

Journal: Dento maxillo facial radiology

Published: July 29, 2024

An Integrated Radiopathomics Machine Learning Model to Predict Pathological Response to Preoperative Chemotherapy in Gastric Cancer.

An Integrated Radiopathomics Machine Learning Model to Predict Pathological Response to Preoperative Chemotherapy in Gastric Cancer.

Journal: Academic radiology

Published: May 21, 2024

Showing 1-12 of 51

Last Updated: 09/26/2026