Participate in the 2024 GCBME & TSBE Annual Meeting at NCKU

Our lab participated in the 2024 GCBME and TSBE Annual Meeting held at National Cheng Kung University, exploring the application of deep learning techniques in the field of sports science.

Our lab participated in the 2024 GCBME and TSBE Annual Meeting held at National Cheng Kung University, exploring the application of deep learning techniques in the field of sports science.
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.
This invention relates to a device and method for head-controlled cursor, possessing the advantages of controlling the cursor by moving the face, allowing hands to remain on the keyboard without the need to leave, which is convenient and beneficial for individuals with hand disabilities.
Dr. Meng-Hsiun Tsai is visiting Johns Hopkins University’s Institute for Clinical and Translational Research (ICTR) as a visiting scholar. During this period, the professor will be conducting research on the comorbidity of diabetes and cancer.
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.
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.
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…