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ORCIDSaikit Lam
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2020 – today
- 2024
[j6]Jiabao Sheng
, Saikit Lam, Jiang Zhang, Yuanpeng Zhang, Jing Cai:
Multi-omics fusion with soft labeling for enhanced prediction of distant metastasis in nasopharyngeal carcinoma patients after radiotherapy. Comput. Biol. Medicine 168: 107684 (2024)- [j5]Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Xiuyu Huang, Saikit Lam, Jiabao Sheng, Kup-Sze Choi, Jing Cai, Weiping Ding:
Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels. Inf. Fusion 101: 101977 (2024) - [j4]Jin Cao, Ta Zhou, Shaohua Zhi, Saikit Lam, Ge Ren, Yuanpeng Zhang, Yongqiang Wang, Yanjing Dong, Jing Cai:
Fuzzy inference system with interpretable fuzzy rules: Advancing explainable artificial intelligence for disease diagnosis - A comprehensive review. Inf. Sci. 662: 120212 (2024) - [j3]Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Ge Ren, Saikit Lam, Weiping Ding, Jing Cai:
Deep Reconciled and Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability, and Theory. IEEE Trans. Fuzzy Syst. 32(11): 6185-6198 (2024) - [j2]Wen Li, Saikit Lam, Yinghui Wang, Chenyang Liu, Tian Li, Jens Kleesiek, Andy Lai-Yin Cheung, Ying Sun, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai:
Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization. IEEE J. Biomed. Health Informatics 28(1): 100-109 (2024) - [c8]Zongrui Ma, Jiang Zhang, Xinzhi Teng, Saikit Lam, Yuanpeng Zhang, Yu-Hua Huang, Tian Li, Francis Kar-ho Lee, Jing Cai:
Assessment of Radiomics Feature Repeatability and Reproducibility and Their Generalizability Across Image Modalities by Perturbation in Nasopharyngeal Carcinoma Patients. CMMCA@MICCAI 2024: 110-119 - 2023
- [c7]Yuanpeng Zhang, Jiang Zhang, Saikit Lam, Xinzhi Teng, Chengyu Qiu, Jing Cai:
Radiomics-Dosiomics-Contouromics Collaborative Learning for Adaptive Radiotherapy Eligibility Prediction in Nasopharyngeal Carcinoma. BIBM 2023: 3991-3997 - [c6]Jiabao Sheng, Saikit Lam, Ta Zhou, Jiang Zhang, Yuanpeng Zhang, Jing Cai:
Multi-Kernel Fusion with Fuzzy Label Relaxation for Predicting Distant Metastasis in Nasopharyngeal Carcinoma. DSP 2023: 1-5 - [c5]Wen Li, Yiming Shi, Saikit Lam, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Tian Li, Shaohua Zhi, Bernie Liu, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai:
Virtual Contrast-Enhanced MRI Synthesis with High Model Generalizability Using Trusted Federated Learning (FL-TrustVCE): A Multi-institutional Study. CMMCA@MICCAI 2023: 1-10 - [c4]Wen Li, Dan Zhao, Zhi Chen, Zhou Huang, Saikit Lam, Yaoqin Xie, Wenjian Qin, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai, Tian Li:
Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma. MICCAI (7) 2023: 541-550 - [c3]Jiabao Sheng, Saikit Lam, Zhe Li, Jiang Zhang, Xinzhi Teng, Yuanpeng Zhang, Jing Cai:
Multi-view Contrastive Learning with Additive Margin for Adaptive Nasopharyngeal Carcinoma Radiotherapy Prediction. ICMR 2023: 555-559 - 2022
- [j1]Yuanpeng Zhang, Saikit Lam, Tingting Yu, Xinzhi Teng, Jiang Zhang, Francis Kar-ho Lee, Kwok-hung Au, Celia Wai-yi Yip, Shitong Wang, Jing Cai:
Integration of an imbalance framework with novel high-generalizable classifiers for radiomics-based distant metastases prediction of advanced nasopharyngeal carcinoma. Knowl. Based Syst. 235: 107649 (2022) - [c2]Jiang Zhang, Saikit Lam, Xinzhi Teng, Yuanpeng Zhang, Zongrui Ma, Francis Kar-ho Lee, Kwok-hung Au, Celia Wai-yi Yip, Amy Tien Yee Chang, Lawrence Wing-Chi Chan, Victor Ho-fun Lee, Qingrong Jackie Wu, Jing Cai:
Repeatability of Radiomic Features Against Simulated Scanning Position Stochasticity Across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-institutional Study on Head-and-Neck Cases. CMMCA@MICCAI 2022: 21-34 - [c1]Wen Li, Saikit Lam, Tian Li, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Jiang Zhang, Xinzhi Teng, Shaohua Zhi, Ge Ren, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Amy Tien Yee Chang, Jing Cai:
Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis. MICCAI (8) 2022: 765-773 - [i1]Jiabao Sheng, Yuanpeng Zhang, Jing Cai, Saikit Lam, Zhe Li, Jiang Zhang, Xinzhi Teng:
Multi-view Contrastive Learning with Additive Margin for Adaptive Nasopharyngeal Carcinoma Radiotherapy Prediction. CoRR abs/2210.15201 (2022)
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