Changhong H. Liang
106 Zhongshan Er Road
Guangzhou, China
Guangzhou, China
Last Updated: 09/26/2026
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Found 198 publications
Tailoring the Extent of Lymphadenectomy for Esophageal Squamous Cell Carcinoma: Insights From a Comparative Study of Neoadjuvant Chemo-Immunotherapy and Surgery Cohort.
Journal: Thoracic cancer
Published: February 03, 2026
Lumi-Guide: An Artificial-Intelligence-Driven Multimodal Framework for Optimizing Personalized Neoadjuvant Therapy Decision-Making in Luminal Breast Cancer.
Journal: Research (Washington, D.C.)
Published: November 20, 2025
STFNet: A spatial-temporal feature aggregation network for breast lesion segmentation in ultrasound videos.
Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Published: November 16, 2025
Evaluating the clinical utility of Node-RADS 1.0 for axillary lymph node assessment in breast cancer: comparison with conventional MRI diagnosis.
Journal: The British journal of radiology
Published: August 02, 2025
Baseline and Early Treatment MRI Model for Predicting Complete Pathologic Response to Neoadjuvant Chemoimmunotherapy in Patients With Triple-Negative Breast Cancer.
Journal: AJR. American journal of roentgenology
Published: July 30, 2025
Development and validation of a CT-based online calculator for prognosis and postoperative adjuvant transcatheter arterial chemoembolization benefit prediction in resected hepatocellular carcinoma: a multicenter retrospective cohort study.
Journal: International journal of surgery (London, England)
Published: July 28, 2025
Application of Large Language Models in TN Staging and Treatment Response Evaluation for Patients With Nasopharyngeal Carcinoma: A Comparative Performance Analysis of ChatGPT-4o-Latest and DeepSeek-V3-0324.
Journal: Journal of magnetic resonance imaging : JMRI
Published: July 11, 2025
AI-derived longitudinal and multi-dimensional CT classifier for non-small cell lung cancer to optimize neoadjuvant chemoimmunotherapy decision: a multicentre retrospective study.
Journal: EClinicalMedicine
Published: July 10, 2025
Longitudinal MRI-based deep learning model for predicting pathological complete response in breast cancer: a multicenter, retrospective cohort study.
Journal: NPJ precision oncology
Published: July 01, 2025
Last Updated: 09/26/2026