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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.

J. Zhang, S. Lam, X. Teng, Y. Zhang, Z. Ma, F. ho Lee, K. hung Au, C. yi Yip, A. Chang, L. Chan, V. fun Lee, Q. Wu, and J. Cai. CMMCA@MICCAI, volume 13574 of Lecture Notes in Computer Science, page 21-34. Springer, (2022)

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Cindy Lam

Le Lam

Lam Tang

Quanghuy Lam

Elena Lam

Other publications of authors with the same name

Radiomics-Dosiomics-Contouromics Collaborative Learning for Adaptive Radiotherapy Eligibility Prediction in Nasopharyngeal Carcinoma.Y. Zhang, J. Zhang, S. Lam, X. Teng, C. Qiu, and J. Cai. BIBM, page 3991-3997. IEEE, (2023)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.J. Zhang, S. Lam, X. Teng, Y. Zhang, Z. Ma, F. ho Lee, K. hung Au, C. yi Yip, A. Chang, L. Chan and 3 other author(s). CMMCA@MICCAI, volume 13574 of Lecture Notes in Computer Science, page 21-34. Springer, (2022)Virtual Contrast-Enhanced MRI Synthesis with High Model Generalizability Using Trusted Federated Learning (FL-TrustVCE): A Multi-institutional Study.W. Li, Y. Shi, S. Lam, A. Cheung, H. Xiao, C. Liu, T. Li, S. Zhi, B. Liu, F. ho Lee and 3 other author(s). CMMCA@MICCAI, volume 14243 of Lecture Notes in Computer Science, page 1-10. Springer, (2023)Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization.W. Li, S. Lam, Y. Wang, C. Liu, T. Li, J. Kleesiek, A. Cheung, Y. Sun, F. ho Lee, K. hung Au and 2 other author(s). IEEE J. Biomed. Health Informatics, 28 (1): 100-109 (January 2024)Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels.Y. Zhang, G. Wang, T. Zhou, X. Huang, S. Lam, J. Sheng, K. Choi, J. Cai, and W. Ding. Inf. Fusion, (January 2024)Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis.W. Li, S. Lam, T. Li, A. Cheung, H. Xiao, C. Liu, J. Zhang, X. Teng, S. Zhi, G. Ren and 5 other author(s). MICCAI (8), volume 13437 of Lecture Notes in Computer Science, page 765-773. Springer, (2022)Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma.W. Li, D. Zhao, Z. Chen, Z. Huang, S. Lam, Y. Xie, W. Qin, A. Cheung, H. Xiao, C. Liu and 5 other author(s). MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 541-550. Springer, (2023)Fuzzy inference system with interpretable fuzzy rules: Advancing explainable artificial intelligence for disease diagnosis - A comprehensive review.J. Cao, T. Zhou, S. Zhi, S. Lam, G. Ren, Y. Zhang, Y. Wang, Y. Dong, and J. Cai. Inf. Sci., (2024)Multi-view Contrastive Learning with Additive Margin for Adaptive Nasopharyngeal Carcinoma Radiotherapy Prediction.J. Sheng, Y. Zhang, J. Cai, S. Lam, Z. Li, J. Zhang, and X. Teng. CoRR, (2022)Multi-Kernel Fusion with Fuzzy Label Relaxation for Predicting Distant Metastasis in Nasopharyngeal Carcinoma.J. Sheng, S. Lam, T. Zhou, J. Zhang, Y. Zhang, and J. Cai. DSP, page 1-5. IEEE, (2023)

BibSonomy

Disambiguation of "Lam, Saikit"