Assessment of Radiomics Feature Repeatability and Reproducibility and Their Generalizability Across Image Modalities by Perturbation in Nasopharyngeal Carcinoma Patients.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024
Multi-view Contrastive Learning with Additive Margin for Adaptive Nasopharyngeal Carcinoma Radiotherapy Prediction.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023
Radiomics-Dosiomics-Contouromics Collaborative Learning for Adaptive Radiotherapy Eligibility Prediction in Nasopharyngeal Carcinoma.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Integration of an imbalance framework with novel high-generalizable classifiers for radiomics-based distant metastases prediction of advanced nasopharyngeal carcinoma.
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.
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Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022
Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis.
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022