Saikit Lam

According to our database, Saikit Lam authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Jens Kleesiek, Andy Lai-Yin Cheung, Ying Sun, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai

IEEE J. Biomed. Health Informatics, January, 2024

Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels.

Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Xiuyu Huang, Saikit Lam, Jiabao Sheng, Kup-Sze Choi, Jing Cai, Weiping Ding

Inf. Fusion, January, 2024

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. Medicine, January, 2024

2023

Multi-view Contrastive Learning with Additive Margin for Adaptive Nasopharyngeal Carcinoma Radiotherapy Prediction.

Jiabao Sheng, Saikit Lam, Zhe Li, Jiang Zhang, Xinzhi Teng, Yuanpeng Zhang, Jing Cai

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Virtual Contrast-Enhanced MRI Synthesis with High Model Generalizability Using Trusted Federated Learning (FL-TrustVCE): A Multi-institutional Study.

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

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

Multi-Kernel Fusion with Fuzzy Label Relaxation for Predicting Distant Metastasis in Nasopharyngeal Carcinoma.

Jiabao Sheng, Saikit Lam, Ta Zhou, Jiang Zhang, Yuanpeng Zhang, Jing Cai

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Radiomics-Dosiomics-Contouromics Collaborative Learning for Adaptive Radiotherapy Eligibility Prediction in Nasopharyngeal Carcinoma.

Yuanpeng Zhang, Jiang Zhang, Saikit Lam, Xinzhi Teng, Chengyu Qiu, Jing Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Integration of an imbalance framework with novel high-generalizable classifiers for radiomics-based distant metastases prediction of advanced nasopharyngeal carcinoma.

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

Knowl. Based Syst., 2022

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.

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

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022