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Browsing "Orthopaedics & Traumatology: Conference papers" by Author kuang, x
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Showing results 1 to 10 of 10
Title
Author(s)
Issue Date
A novel tool to provide predictable alignment data irrespective of source and image quality acquired on mobile phones: what engineers can offer clinicians
Proceeding/Conference:
ISSLS (International Society for the Study of the Lumbar Spine) Virtual Annual Meeting
Zhang, T
Kuang, X
Zhu, C
Lu, Q
Liu, J
Diwan, A
Cheung, JPY
2021
Accurate Cobb Angle Prediction via Learning Auxiliary Tasks
Zhang, T
Meng, N
Zhao, M
Kuang, X
Cheung, JPY
24-Jul-2023
Deep learning based fully automated pathology classification of lumbar spine
Proceeding/Conference:
ISSLS (International Society for the Study of the Lumbar Spine) Virtual Annual Meeting 2021
Kuang, X
Cheung, JPY
Zhang, T
2021
Deep learning-based fully automated vertebral endplates irregularity prediction using lumbar magnetic resonance imaging
Proceeding/Conference:
41st Annual Congress of the Hong Kong Orthopaedic Association 2021
KUANG, X
Cheung, JPY
Zhang, T
2021
Learning-based fully automated prediction of lumbar disc degeneration progression with specified clinical parameters and preliminary validation
Proceeding/Conference:
ISSLS (International Society for the Study of the Lumbar Spine) Virtual Annual Meeting 2021
Cheung, JPY
Kuang, X
Lai, M
Cheung, K
Karppinen, J
Samartzis, D
Wu, H
Zhao, F
Zheng, Z
Zhang, T
2021
MRI-SegFlow V2.0: a novel unsupervised deep learning pipeline enabling accurate semantic segmentation of lumbar MR images with preliminary validation
Proceeding/Conference:
ISSLS (International Society for the Study of the Lumbar Spine) Virtual Annual Meeting 2021
Kuang, X
Cheung, JPY
Wu, H
Lam, C
Choy, R
Chan, D
Zhang, T
2021
MRI-SegFlow: a deep learning-based unsupervised pipeline for vertebral segmentation of spinal MRI image
Proceeding/Conference:
40th Annual Congress of the Hong Kong Orthopaedic Association 2020
Kuang, X
Cheung, JPY
Wu, H
Dokos, S
Zhang, T
2020
MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images
Proceeding/Conference:
IEEE Engineering in Medicine and Biology Society (EMBC) Conference Proceedings
Kuang, X
Cheung, JPY
Wu, H
Dokos, S
Zhang, T
2020
Spine-SegLoop: A Deep Learning Framework for Multi-tissue Segmentation in Lumbar MRI with No Manual Annotations
Proceeding/Conference:
48th ISSLS Annual Meeting, 2022
KUANG, X
Cheung, JPY
Wong, KKY
Zhang, T
2022
SpineQ: Unsupervised Learning-Based Pipeline for Fully Automated Quantitative Analysis of Lumbar MRI With Preliminary Validation
Zhang, T
Kuang, X
Ke, WC
Yang, C
Cheung, JPY
1-May-2023
