Publications by authors named "Saikit Lam"

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Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling.
Yuan-Peng Zhang, Xin-Yun Zhang, Yu-Ting Cheng, Bing Li, Xin-Zhi Teng, Jiang Zhang, Saikit Lam, Ta Zhou, Zong-Rui Ma, Jia-Bao Sheng

Mil Med Res· May 2023

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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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Prediction of axillary lymph node metastasis in breast cancer based on MRI: A novel domain adaptative radiomics pipeline for multicenter studies.
Yuting Cheng, Meiping Wu, Weixia Tang, Xinyun Zhang, Linjia Zhou, Saikit Lam

Med Phys· November 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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A comprehensive benchmarking of a U-Net based model for midbrain auto-segmentation on transcranial sonography.
Hong-Yu Kang, Wei Zhang, Shuai Li, Xinyi Wang, Yu Sun, Sai-Kit Lam

Comput Methods Programs Biomed· January 2025

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Evaluating Virtual Contrast-Enhanced Magnetic Resonance Imaging in Nasopharyngeal Carcinoma Radiation Therapy: A Retrospective Analysis for Primary Gross Tumor Delineation.
Wen Li, Dan Zhao, Guangping Zeng, Zhi Chen, Zhou Huang, Saikit Lam

Int J Radiat Oncol Biol Phys· December 2024

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Rectus Femoris Muscle Segmentation on Ultrasound Images of Older Adults Using Automatic Segment Anything Model, nnU-Net and U-Net-A Prospective Study of Hong Kong Community Cohort.
Dawei Zhang, Hongyu Kang, Yu Sun, Justina Yat Wa Liu, Ka-Shing Lee, Sai-Kit Lam

Bioengineering (Basel)· December 2024

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Predicting major adverse cardiac events using radiomics nomogram of pericoronary adipose tissue based on CCTA: A multi-center study.
Zhaoheng Huang, Saikit Lam, Zihe Lin, Linjia Zhou, Liangchen Pei

Med Phys· November 2024

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Automatic Transcranial Sonography-Based Classification of Parkinson's Disease Using a Novel Dual-Channel CNXV2-DANet.
Hongyu Kang, Xinyi Wang, Yu Sun, Shuai Li, Xin Sun, Sai-Kit Lam

Bioengineering (Basel)· August 2024

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Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization.
Wen Li, Saikit Lam, Yinghui Wang, Chenyang Liu, Tian Li

IEEE J Biomed Health Inform· January 2024

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Multi-omics fusion with soft labeling for enhanced prediction of distant metastasis in nasopharyngeal carcinoma patients after radiotherapy.
Jiabao Sheng, SaiKit Lam, Jiang Zhang, Yuanpeng Zhang, Jing Cai

Comput Biol Med· January 2024

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Computed Tomography-Based Radiomics for Long-Term Prognostication of High-Risk Localized Prostate Cancer Patients Received Whole Pelvic Radiotherapy.
Vincent W S Leung, Curtise K C Ng, Sai-Kit Lam, Po-Tsz Wong, Ka-Yan Ng

J Pers Med· November 2023

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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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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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Radiomic feature repeatability and its impact on prognostic model generalizability: A multi-institutional study on nasopharyngeal carcinoma patients.
Jiang Zhang, Sai-Kit Lam, Xinzhi Teng, Zongrui Ma, Xinyang Han

Radiother Oncol· June 2023

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Integrating CT-based radiomic model with clinical features improves long-term prognostication in high-risk prostate cancer.
Jerry C F Ching, Saikit Lam, Cody C H Lam, Angie O Y Lui, Joanne C K Kwong

Front Oncol· April 2023

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Multi-omics to predict acute radiation esophagitis in patients with lung cancer treated with intensity-modulated radiation therapy.
Xiaoli Zheng, Wei Guo, Yunhan Wang, Jiang Zhang, Yuanpeng Zhang, Saikit Lam

Eur J Med Res· March 2023

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Association of Multi-Phasic MR-Based Radiomic and Dosimetric Features with Treatment Response in Unresectable Hepatocellular Carcinoma Patients following Novel Sequential TACE-SBRT-Immunotherapy.
Lok-Man Ho, Sai-Kit Lam, Jiang Zhang, Chi-Leung Chiang, Albert Chi-Yan Chan

Cancers (Basel)· February 2023

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Quantitative Spatial Characterization of Lymph Node Tumor for N Stage Improvement of Nasopharyngeal Carcinoma Patients.
Jiang Zhang, Xinzhi Teng, Saikit Lam, Jiachen Sun, Andy Lai-Yin Cheung

Cancers (Basel)· December 2022

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Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients.
Bing Li, Xiaoli Zheng, Jiang Zhang, Saikit Lam, Wei Guo

Cancers (Basel)· October 2022

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Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma.
Xinzhi Teng, Jiang Zhang, Zongrui Ma, Yuanpeng Zhang, Saikit Lam

Front Oncol· October 2022

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Radiomics-Based Detection of COVID-19 from Chest X-ray Using Interpretable Soft Label-Driven TSK Fuzzy Classifier.
Yuanpeng Zhang, Dongrong Yang, Saikit Lam, Bing Li, Xinzhi Teng

Diagnostics (Basel)· October 2022

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Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy.
Ge Ren, Sai-Kit Lam, Jiang Zhang, Haonan Xiao, Andy Lai-Yin Cheung

Front Oncol· September 2022

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Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients.
Bing Li, Ge Ren, Wei Guo, Jiang Zhang, Sai-Kit Lam

Front Pharmacol· September 2022

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A Transfer Learning Framework for Deep Learning-Based CT-to-Perfusion Mapping on Lung Cancer Patients.
Ge Ren, Bing Li, Sai-Kit Lam, Haonan Xiao, Yu-Hua Huang

Front Oncol· July 2022

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