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.
Similar Posts
Dr. Tsai’s Patent Application Has Been Approved! Device and Method for Controlling Mouse Cursor by Head
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.
Happy Teacher’s Day
Today, we honor the dedication, passion, and hard work of educators who inspire and guide us every day. Teachers play a vital role in shaping our minds and nurturing our potential. Let’s take a moment to express our gratitude to these incredible individuals. Happy Teacher’s Day, Dr. Meng-Hsiun! Thank you for making a difference in…
Celebration Lunch for Lab Members
Laboratory’s semesterly gathering! Grateful for the efforts of all laboratory members throughout this semester. Looking forward to continuing our academic research to contribute more to humanity.
Dr. Meng-Hsiun Tsai Receives an Outstanding and Senior Teacher at NCHU for 20 Years
Congratulations to Dr. Meng-Hsiun Tsai for being honored as an outstanding and senior teacher at National Chung Hsing University for 20 years!
Dr. Meng-Hsiun Tsai is Visiting Johns Hopkins University’s ICTR as a Visiting Scholar
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 TVGH to Predict Progression-free Survival in Brain Tumor
Lab conducts a collaborative research project with Taichung Veterans General Hospital to predict progression-free survival in brain tumor patients. The laboratory plans to collaborate with physicians to construct a brain tumor image segmentation model to assist in the early detection and diagnosis of tumors.