Te-cheng Hsu

Deep STI: Deep Stochastic Time-series Imputation on Electronic Health Records.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: March 05, 2025

NG-DTA: Drug-target affinity prediction with n-gram molecular graphs.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 12, 2023

Meta-EHR: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rate.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 12, 2023

Utilizing Graph Neural Networks for Breast Cancer Prognosis Prediction with High-dimensional Genomic Data.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 12, 2023

Exploiting common patterns in diverse cancer types via multi-task learning.

Journal: NPJ precision oncology

Published: September 08, 2023

Learning from small medical data-robust semi-supervised cancer prognosis classifier with Bayesian variational autoencoder.

Journal: Bioinformatics advances

Published: October 24, 2022

Training with Small Medical Data: Robust Bayesian Neural Networks for Colon Cancer Overall Survival Prediction.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 11, 2021

Integrating ensemble systems biology feature selection and bimodal deep neural network for breast cancer prognosis prediction.

Journal: Scientific reports

Published: February 04, 2021

Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.

Journal: Scientific reports

Published: June 06, 2019

Deep STI: Deep Stochastic Time-series Imputation on Electronic Health Records.

Deep STI: Deep Stochastic Time-series Imputation on Electronic Health Records.

NG-DTA: Drug-target affinity prediction with n-gram molecular graphs.

NG-DTA: Drug-target affinity prediction with n-gram molecular graphs.

Meta-EHR: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rate.

Meta-EHR: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rate.

Utilizing Graph Neural Networks for Breast Cancer Prognosis Prediction with High-dimensional Genomic Data.

Utilizing Graph Neural Networks for Breast Cancer Prognosis Prediction with High-dimensional Genomic Data.

Exploiting common patterns in diverse cancer types via multi-task learning.

Exploiting common patterns in diverse cancer types via multi-task learning.

Learning from small medical data-robust semi-supervised cancer prognosis classifier with Bayesian variational autoencoder.

Learning from small medical data-robust semi-supervised cancer prognosis classifier with Bayesian variational autoencoder.

Training with Small Medical Data: Robust Bayesian Neural Networks for Colon Cancer Overall Survival Prediction.

Training with Small Medical Data: Robust Bayesian Neural Networks for Colon Cancer Overall Survival Prediction.

Integrating ensemble systems biology feature selection and bimodal deep neural network for breast cancer prognosis prediction.

Integrating ensemble systems biology feature selection and bimodal deep neural network for breast cancer prognosis prediction.

Establishment of an Immunocompetent Metastasis Rat Model with Hepatocyte Cancer Stem Cells.

Establishment of an Immunocompetent Metastasis Rat Model with Hepatocyte Cancer Stem Cells.

Generative Adversarial Networks for Robust Breast Cancer Prognosis Prediction with Limited Data Size.

Generative Adversarial Networks for Robust Breast Cancer Prognosis Prediction with Limited Data Size.

STAT3 phosphorylation at Ser727 and Tyr705 differentially regulates the EMT-MET switch and cancer metastasis.

STAT3 phosphorylation at Ser727 and Tyr705 differentially regulates the EMT-MET switch and cancer metastasis.

Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.

Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.