Publications by authors named "Xinzhi Teng"

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Establishment of a CT-based radiomic feature robustness databank for OPC patients via image perturbation in a multi-institutional study: a practical method to safeguard model generalizability.
Yongqiang Wang, Alex Zwanenburg, Jiang Zhang, Xinzhi Teng, Sai-Kit Lam

Front Oncol· December 2025

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Functional Dose-Volume Analysis Based on a Novel Image Biomarker Derived From Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Poststereotactic Body Radiation Therapy Liver Function Preservation in Patients With Hepatocellular Carcinoma.
Yimin Ni, Ho-Fun Victor Lee, Chi-Leung Chiang, Lai-Yin Andy Cheung, Zhengxing Huang, Xinzhi Teng

Adv Radiat Oncol· November 2025

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Tumor Imaging Heterogeneity Index-Inspired Insights into the Unveiling Tumor Microenvironment of Breast Cancer.
Qingpei Lai, Xinzhi Teng, Jiang Zhang, Xinyu Zhang, Yufeng Jiang

Int J Mol Sci· November 2025

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Deep Learning-Based Motion-Compensated Reconstruction for Accelerating 4-Dimensional Magnetic Resonance Fingerprinting.
Lu Wang, Chenyang Liu, Yinghui Wang, Xiang Wang, Peilin Wang, Xinzhi Teng

Int J Radiat Oncol Biol Phys· October 2025

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A Review of Advances in Lung Function Imaging and Its Applications for Functional Lung Avoidance in Radiation Therapy.
Zhi Chen, Zihan Li, Yu-Hua Huang, Tianyu Xiong, Xinzhi Teng

Semin Nucl Med· September 2025

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Repeatability and prognostic value of radiomic features: a study in esophageal cancer and nasopharyngeal carcinoma.
Jie Gong, Fan Meng, Changhao Liu, Jianchao Lu, Jie Li, Xinzhi Teng

Insights Imaging· August 2025

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Constructing Surrogate Lung Ventilation Maps From 4-Dimensional Computed Tomography-Derived Subregional Respiratory Dynamics.
Yu-Hua Huang, Zihan Li, Tianyu Xiong, Zhi Chen, Bing Li, Xinzhi Teng

Int J Radiat Oncol Biol Phys· April 2025

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Weight censorial score: estimation of the weight loss during concurrent chemo-radiotherapy in nasopharyngeal carcinoma patients by image features predicts prognosis.
Jiachen Sun, Sai Kit Edmond Lam, Jiang Zhang, Xinzhi Teng, Francis Kar-Ho Lee

Radiol Med· March 2025

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Predicting disease progression from the rate of bodyweight change in nasopharyngeal carcinoma patient during radiotherapy.
Jiachen Sun, Sai Kit Edmond Lam, Xinzhi Teng, Jiang Zhang, Francis Kar-Ho Lee

Sci Rep· March 2025

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A multi-center, multi-organ, multi-omic prediction model for treatment-induced severe oral mucositis in nasopharyngeal carcinoma.
Alexander James Nicol, Sai-Kit Lam, Jerry Chi Fung Ching, Victor Chi Wing Tam, Xinzhi Teng

Radiol Med· February 2025

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Anatomy-wise lung ventilation imaging for precise functional lung avoidance radiation therapy.
Zhi Chen, Zihan Li, Yu-Hua Huang, Xinzhi Teng, Jiang Zhang

Phys Med Biol· February 2025

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Using high-repeatable radiomic features improves the cross-institutional generalization of prognostic model in esophageal squamous cell cancer receiving definitive chemoradiotherapy.
Jie Gong, Qifeng Wang, Jie Li, Zhi Yang, Jiang Zhang, Xinzhi Teng

Insights Imaging· October 2024

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Comparative Analysis of Repeatability in CT Radiomics and Dosiomics Features under Image Perturbation: A Study in Cervical Cancer Patients.
Zongrui Ma, Jiang Zhang, Xi Liu, Xinzhi Teng, Yu-Hua Huang

Cancers (Basel)· August 2024

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Enhancing the Clinical Utility of Radiomics: Addressing the Challenges of Repeatability and Reproducibility in CT and MRI.
Xinzhi Teng, Yongqiang Wang, Alexander James Nicol, Jerry Chi Fung Ching, Edwin Ka Yiu Wong

Diagnostics (Basel)· August 2024

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Radiomics analysis of patellofemoral joint improves knee replacement risk prediction: Data from the Multicenter Osteoarthritis Study (MOST).
Jiang Zhang, Tianshu Jiang, Lok-Chun Chan, Sing-Hin Lau, Wei Wang, Xinzhi Teng

Osteoarthr Cartil Open· June 2024

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Enhancing pathological complete response prediction in breast cancer: the role of dynamic characterization of DCE-MRI and its association with tumor heterogeneity.
Xinyu Zhang, Xinzhi Teng, Jiang Zhang, Qingpei Lai, Jing Cai

Breast Cancer Res· May 2024

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Deep learning-based bronchial tree-guided semi-automatic segmentation of pulmonary segments in computed tomography images.
Zhi Chen, Bar Wai Barry Wo, Oi Ling Chan, Yu-Hua Huang, Xinzhi Teng

Quant Imaging Med Surg· February 2024

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Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge.
Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Xinzhi Teng

Radiol Imaging Cancer· January 2024

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Multi-omics and Multi-VOIs to predict esophageal fistula in esophageal cancer patients treated with radiotherapy.
Wei Guo, Bing Li, Wencai Xu, Chen Cheng, Chengyu Qiu, Xinzhi Teng

J Cancer Res Clin Oncol· January 2024

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Comparing effectiveness of image perturbation and test retest imaging in improving radiomic model reliability.
Jiang Zhang, Xinzhi Teng, Xinyu Zhang, Sai-Kit Lam, Zhongshi Lin

Sci Rep· October 2023

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Respiratory Invariant Textures From Static Computed Tomography Scans for Explainable Lung Function Characterization.
Yu-Hua Huang, Xinzhi Teng, Jiang Zhang, Zhi Chen, Zongrui Ma

J Thorac Imaging· September 2023

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Explainable machine learning via intra-tumoral radiomics feature mapping for patient stratification in adjuvant chemotherapy for locoregionally advanced nasopharyngeal carcinoma.
Xinzhi Teng, Jiang Zhang, Xinyang Han, Jiachen Sun, Sai-Kit Lam

Radiol Med· July 2023

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Noninvasive imaging signatures of HER2 and HR using ADC in invasive breast cancer: repeatability, reproducibility, and association with pathological complete response to neoadjuvant chemotherapy.
Xinzhi Teng, Jiang Zhang, Xinyu Zhang, Xinyu Fan, Ta Zhou

Breast Cancer Res· June 2023

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Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation Therapy.
Yanjing Dong, Jiang Zhang, Saikt Lam, Xinyu Zhang, Anran Liu, Xinzhi Teng

Cancers (Basel)· March 2023

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