Pokai Su

Pokai Su

PhD Student in Computer Science at Miami University. Research interests: Medical Imaging, Trustworthy AI, Foundation Models.

Publications

2026

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.

2025

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

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.

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.