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!
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Lab Conducts a Collaborative Research Project with TVGH to Predict Brain Perfusion Region in Stroke
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 Receives Distinguished Teaching Award II at NCHU
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.
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.
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 a Lifetime Distinguished Professor at NCHU
Congratulations to the professor on being appointed as a Distinguished Professor with a lifetime appointment at National Chung Hsing University! This prestigious recognition is a testament to the professor’s outstanding contributions to academia, research, and the university community.
Lab Conducts a Collaborative Research Project with TVGH to Predict the Brain Tumor Growth
Lab conducts a collaborative research project with Taichung Veterans General Hospital to Predict the Brain Tumor Growth. This research utilizes deep learning and machine learning to construct pre-processing techniques for brain tumor MRI images, as well as models for detecting the areas of brain tumors and edema. This facilitates a comparison of the extent of…