Congratulations to Professor Meng-Hsun Tsai on receiving the Distinguished Teaching Award II from National Chung Hsing University. He stood out from many outstanding teachers in the university.
Lab conducts a collaborative research project with Taichung Veterans General Hospital to predict brain perfusion region in stroke patients. The project aims to construct pre- and post-operative brain perfusion region prediction models based on deep learning techniques, and conduct quantitative analyses to assist physicians in more accurately assessing patient conditions.
This invention provides an improved vector quantization encoding for image quality restoration and a fast codebook training method. The invention divides image blocks into multiple data groups, and trains Cg encoding words for each group based on the standard deviation and data quantity of each group. The invention effectively enhances compressed image quality and significantly…
Dr. Meng-Hsiun Tsai Presents the works (directed by Ying-Chen Lin, Chung-Ting Lin, Fu-Sheng Hsueh, and Keng-Yuan Nien) at MOE Teaching Practice Research Program Workshop! The professor demonstrated how to enable learners to interact with big data in a virtual 3D environment.
Lab Conducts a collaborative research project with Changhua Christian Hospital to predict the prognosis and healthcare consumption of hospitalized trauma patients. The project introduces deep learning for predicting in-hospital mortality and length of stay for patients. Therefore, it contributes to predicting the prognosis and healthcare consumption of hospitalized trauma patients, ultimately enhancing the quality of…
Congratulations to the professor on being selected as a Technical Committee member for the 2021 11th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB 2021)!
Dr. Meng-Hsiun Tsai has been invited to serve as a session host in the 2023 International Conference and Annual of the Operations Research Society of Taiwan & The 21st Conference on Sustainable Operation and Development.