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.
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Lab Members’ Thesis Defense and Celebration
Congratulations to Fu-Sheng Hsueh, Yu-Sheng Cheng, Min-Yu Chen, Yen-Chih Feng, Wen-Chieh Li, Chia-Hsien Li, and Yen-Chun Lu from the Precision Medicine & Clinical Translational Research Lab on the successful completion of their master’s thesis defense! This is a significant achievement, and their hard work and dedication are truly commendable. Wishing them continued success in their…
Dr. Meng-Hsiun Tsai Presents the Works at MOE Teaching Practice Research Program Workshop
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’s Semester Gathering
The laboratory’s semester gathering at ‘Eatogether’ restaurant. To celebrate the graduation of our seniors and to wish our juniors all the best in their future endeavors. Let’s enjoy our time together to the fullest.
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…
Lab Conducts a Collaborative Research Project with CCH to Predict the Prognosis and Healthcare Consumption of Hospitalized Trauma Patients
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…
