Applying a Deep Learning Model for Total Kidney Volume Measurement in Autosomal Dominant Polycystic Kidney Disease
Bioengineering, Vol. 11, No. 10, 963, 2024
Knowledge Engineering Lab
Yellow: the AI-generated transition. Blue: the two original passages.
(Research: Generating Music Transition by Using a Transformer-based Model, Electronics 2021)
Distinguished Professor, Department of Computer Science and Information Engineering, Fu Jen Catholic University
- Director, Information Technology Center, Fu Jen Catholic University
- Knowledge Engineering Lab, Director
Ph.D. in Computer Science, National Tsing Hua University. Starting from music databases, Hsu's research has grown into EEG-based emotion recognition, AI music generation and score recognition, and applies the same methods to medical imaging and clinical records.
Currently leading the NSTC project "Singing Voice Restoration for Live Concert Recordings." Students interested in music AI or medical informatics are welcome to get in touch.
Research areas Music Information RetrievalMusic Emotion & AI GenerationMedical InformaticsData Science
News
- CSFINet-based multimodal MRI segmentation and survival prediction published in Diagnostics.
- Study comparing GPT and human raters in essay assessment published in Computers and Education Open.
- Guest editor of the Applied Sciences special issue "Digital Innovations in Healthcare."
- Layout-aware multitask models for medical diagnosis documents published in Diagnostics.
- Appointed Director of the Information Technology Center, Fu Jen Catholic University.
Selected papers
Generating Music Transition by Using a Transformer-based Model
Electronics, Vol. 10, No. 18, 2276, 2021
Affective content analysis of music emotion through EEG
Multimedia Systems, Vol. 24, No. 2, pp. 195–210, 2018
Discovering Non-trivial Repeating Patterns in Music Data
IEEE Transactions on Multimedia, Vol. 3, No. 3, pp. 311–325, 2001