Jason Pui Yin Cheung
Orcid: 0000-0002-7052-0875
According to our database1,
Jason Pui Yin Cheung
authored at least 17 papers
between 2016 and 2025.
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Bibliography
2025
A deep learning-based hand motion classification for hand dysfunction assessment in cervical spondylotic myelopathy.
Biomed. Signal Process. Control., 2025
2024
Harnessing Knowledge Retrieval with Large Language Models for Clinical Report Error Correction.
CoRR, 2024
Chain-of-Though (CoT) prompting strategies for medical error detection and correction.
CoRR, 2024
EUFormer: Learning Driven 3D Spine Deformity Assessment with Orthogonal Optical Images.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Modelling of Intervertebral Disc (IVD) with Structured Mesh and Crosswise Collagen Fibers.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
An Ensemble-Based Densely-Connected Deep Learning System for Assessment of Skeletal Maturity.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation.
Comput. Medical Imaging Graph., 2022
2021
Learning-Based Coronal Spine Alignment Prediction Using Smartphone-Acquired Scoliosis Radiograph Images.
IEEE Access, 2021
SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Analysis of sagittal profile of spine using 3D ultrasound imaging: a phantom study and preliminary subject test.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020
MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
XLIF interbody cage reduces stress and strain of fixation in spinal reconstructive surgery in comparison with TLIF cage with bilateral or unilateral fixation: a computational analysis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Skeletal Maturity Recognition Using a Fully Automated System With Convolutional Neural Networks.
IEEE Access, 2018
2017
2016
A machine learning based prognostic prediction of cervical myelopathy using diffusion tensor imaging.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2016