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APSIPA ASC 2025 — Student 3MT Competition
Published:
Student Three-Minute Thesis Competition Finalist at the 17th APSIPA Annual Summit and Conference.
portfolio
publications
Comparative Analysis of Structural Biomechanical and Textural Radiomics Features in Predicting Secondary Osteoporotic Vertebral Compression Fracture
Published in Asia Spine 2024, 2024
This study performs a comparative analysis of structural biomechanical and textural radiomics features for predicting secondary osteoporotic vertebral compression fractures.
Recommended citation: Yu-Hsuan Yu, Po-Kai Su, Pei-Rong Jiang, Meng-Lei Su, Jiann-Her Lin, Hsiao-Chi Li. (2024). "Comparative Analysis of Structural Biomechanical and Textural Radiomics Features in Predicting Secondary Osteoporotic Vertebral Compression Fracture." Asia Spine 2024.
Automatic Vertebrae Segmentation and Prediction of Secondary Fractures with Machine Learning Using Biomechanical Features and Radiomics
Published in International Conference on Machine Learning and Cybernetics, 2024
This paper proposes a machine learning pipeline for automatic vertebrae segmentation and prediction of secondary fractures using biomechanical features and radiomics.
Recommended citation: Yu-Hsuan Yu, Po-Kai Su, Pei-Rong Jiang, Meng-Lei Su, Jiann-Her Lin, Hsiao-Chi Li. (2024). "Automatic Vertebrae Segmentation and Prediction of Secondary Fractures with Machine Learning Using Biomechanical Features and Radiomics." International Conference on Machine Learning and Cybernetics.
Prompt-Based Vertebral Segmentation Using a Generative AI Approach in OVCF Spinal Radiographs
Published in Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2025), 2025
This paper introduces a generative AI framework combining YOLO-based detection with prompt-driven segmentation (SAM-inspired) for vertebral segmentation in spinal X-rays, achieving Dice 0.9389 and IoU 0.8854 on OVCF patients including challenging post-vertebroplasty cases.
Recommended citation: Po-Kai Su, Pei-Rong Jiang, Kai-Xuan Xu, Meng-Lei Su, Jiann-Her Lin, Hsin-Han Chiang, Hsiao-Chi Li. (2025). "Prompt-Based Vertebral Segmentation Using a Generative AI Approach in OVCF Spinal Radiographs." APSIPA ASC 2025. DOI: 10.1109/apsipaasc65261.2025.11249394 https://doi.org/10.1109/apsipaasc65261.2025.11249394
Semi-Supervised Vertebral and Intervertebral Disc Segmentation in Spinal MRI via Cross-Source Mean Teacher Learning
Published in The International Conference on System Science and Engineering (ICSSE), 2026
This paper proposes a semi-supervised learning framework using cross-source mean teacher learning for vertebral and intervertebral disc segmentation in spinal MRI.
Recommended citation: Pei-Rong Jiang, Kai-Xuan Xu, Po-Kai Su, Meng-Lei Su, Jiann-Her Lin, Hsiao-Chi Li. (2026). "Semi-Supervised Vertebral and Intervertebral Disc Segmentation in Spinal MRI via Cross-Source Mean Teacher Learning." The International Conference on System Science and Engineering.
talks
teaching
Data Structure
Undergraduate course, National Taipei University of Technology, Department of Artificial Intelligence Technology, 2023
Teaching Assistant for the undergraduate Data Structure course at National Taipei University of Technology (Feb 2023 – Jun 2025). Responsibilities included conducting lab sessions, grading assignments, and providing student consultations.
Linear Algebra
Undergraduate course, National Taipei University of Technology, Department of Artificial Intelligence Technology, 2023
Teaching Assistant for the undergraduate Linear Algebra course at National Taipei University of Technology (Feb 2023 – Jun 2025). Responsibilities included supporting lectures and providing tutoring for undergraduate students.