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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
NG-DTA: Drug-target affinity prediction with n-gram molecular graphsLok-In Tsui, Te-Cheng Hsu, Che Lin
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Training with Small Medical Data: Robust Bayesian Neural Networks for Colon Cancer Overall Survival PredictionTe-Cheng Hsu, Che Lin
Bioinformatics Advances|January 26, 2023
Learning from small medical data-robust semi-supervised cancer prognosis classifier with Bayesian variational autoencoderTe-Cheng Hsu, Che Lin
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Generative Adversarial Networks for Robust Breast Cancer Prognosis Prediction with Limited Data SizeTe-Cheng Hsu, Che Lin
Scientific Reports|July 22, 2021
Integrating ensemble systems biology feature selection and bimodal deep neural network for breast cancer prognosis predictionLi-Hsin Cheng, Te-Cheng Hsu, Che Lin
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Utilizing Graph Neural Networks for Breast Cancer Prognosis Prediction with High-dimensional Genomic DataTzu-Chen Huang, Te-Cheng Hsu, Yi-Hsien Hsieh, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Meta-EHR: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rateHsu-Hsiang Chang, Te-Cheng Hsu, Yi-Hsien Hsieh, et al.
NPJ Precision Oncology|October 30, 2024
Exploiting common patterns in diverse cancer types via multi-task learningBo-Run Wu, Sofia Ormazabal Arriagada, Te-Cheng Hsu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Deep STI: Deep Stochastic Time-series Imputation on Electronic Health RecordsMing-Che Cheng, Yi-Hsien Hsieh, Te-Cheng Hsu, et al.
Scientific Reports|March 15, 2020
Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learningYu-Heng Lai, Wei-Ning Chen, Te-Cheng Hsu, et al.
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