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Jason Pui Yin Cheung
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2020 – today
- 2025
- [j7]Xiaodong Li, Ningbo Fei, Kinto Wan, Jason Pui Yin Cheung, Yong Hu:
A deep learning-based hand motion classification for hand dysfunction assessment in cervical spondylotic myelopathy. Biomed. Signal Process. Control. 99: 106884 (2025) - 2024
- [c7]Zhaolong Wu, Abul Hasan, Jinge Wu, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu:
KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction. ClinicalNLP@NAACL 2024: 353-359 - [i3]Zhaolong Wu, Abul Hasan, Jinge Wu, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu:
Chain-of-Though (CoT) prompting strategies for medical error detection and correction. CoRR abs/2406.09103 (2024) - [i2]Jinge Wu, Zhaolong Wu, Abul Hasan, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu:
Harnessing Knowledge Retrieval with Large Language Models for Clinical Report Error Correction. CoRR abs/2406.15045 (2024) - [i1]Nan Meng, Jason Pui Yin Cheung, Tao Huang, Moxin Zhao, Yue Zhang, Chenxi Yu, Chang Shi, Teng Zhang:
EUFormer: Learning Driven 3D Spine Deformity Assessment with Orthogonal Optical Images. CoRR abs/2407.16942 (2024) - 2023
- [c6]Mohsen Mohammadi, Teng Zhang, Jason Pui Yin Cheung:
Modelling of Intervertebral Disc (IVD) with Structured Mesh and Crosswise Collagen Fibers. EMBC 2023: 1-4 - [c5]Moxin Zhao, Nan Meng, Jason Pui Yin Cheung, Teng Zhang:
PCT-GAN: A Real CT Image Super-Resolution Model for Trabecular Bone Restoration. ISBI 2023: 1-5 - 2022
- [j6]Xihe Kuang, Jason Pui Yin Cheung, Kwan-Yee K. Wong
, Wai Yi Lam, Chak Hei Lam, Richard W. Choy, Christopher P. Cheng
Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation. Comput. Medical Imaging Graph. 99: 102091 (2022) - [j5]Shuqiang Wang
An Ensemble-Based Densely-Connected Deep Learning System for Assessment of Skeletal Maturity. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 426-437 (2022) - 2021
- [j4]Teng Zhang
Learning-Based Coronal Spine Alignment Prediction Using Smartphone-Acquired Scoliosis Radiograph Images. IEEE Access 9: 38287-38295 (2021) - [c4]Xihe Kuang
SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset. MICCAI (2) 2021: 145-154 - 2020
- [j3]Timothy Tin-Yan Lee
Analysis of sagittal profile of spine using 3D ultrasound imaging: a phantom study and preliminary subject test. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(3): 232-244 (2020) - [c3]Xihe Kuang, Jason Pui Yin Cheung
MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images. EMBC 2020: 1633-1636
2010 – 2019
- 2019
- [c2]Teng Zhang
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. EMBC 2019: 1887-1890 - 2018
- [j2]Shuqiang Wang
Skeletal Maturity Recognition Using a Fully Automated System With Convolutional Neural Networks. IEEE Access 6: 29979-29993 (2018) - 2017
- [j1]Liming Deng
A Data-Driven Decision Support System for Scoliosis Prognosis. IEEE Access 5: 7874-7884 (2017) - 2016
- [c1]Richu Jin
A machine learning based prognostic prediction of cervical myelopathy using diffusion tensor imaging. CIVEMSA 2016: 1-4
Coauthor Index
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