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Citations 50+

Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features
Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features REF 2021 Submitted OutputImpact Factor: 3.4Citation: 77#
IEEE Access, 2020
Kevin D. McCay, Edmond S. L. Ho, Hubert P. H. Shum, Gerhard Fehringer, Claire Marcroft and Nicholas Embleton
Webpage Cite This Plain Text
Kevin D. McCay, Edmond S. L. Ho, Hubert P. H. Shum, Gerhard Fehringer, Claire Marcroft and Nicholas Embleton, "Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features," IEEE Access, vol. 8, no. 1, pp. 51582-51592, IEEE, 2020.
Bibtex
@article{mccay20abnormal,
 author={McCay, Kevin D. and Ho, Edmond S. L. and Shum, Hubert P. H. and Fehringer, Gerhard and Marcroft, Claire and Embleton, Nicholas},
 journal={IEEE Access},
 series={Access '24},
 title={Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features},
 year={2020},
 volume={8},
 number={1},
 pages={51582--51592},
 numpages={11},
 doi={10.1109/ACCESS.2020.2980269},
 issn={2169-3536},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - McCay, Kevin D.
AU  - Ho, Edmond S. L.
AU  - Shum, Hubert P. H.
AU  - Fehringer, Gerhard
AU  - Marcroft, Claire
AU  - Embleton, Nicholas
T2  - IEEE Access
TI  - Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features
PY  - 2020
VL  - 8
IS  - 1
SP  - 51582
EP  - 51592
DO  - 10.1109/ACCESS.2020.2980269
SN  - 2169-3536
PB  - IEEE
ER  - 
Paper GitHub

Citations 20+

Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait
Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait REF 2021 Submitted OutputImpact Factor: 4.8Citation: 28#
IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2018
Worasak Rueangsirarak, Jingtian Zhang, Nauman Aslam and Hubert P. H. Shum
Webpage Cite This Plain Text
Worasak Rueangsirarak, Jingtian Zhang, Nauman Aslam and Hubert P. H. Shum, "Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 12, pp. 2387-2396, IEEE, 2018.
Bibtex
@article{rueangsirarak18automatic,
 author={Rueangsirarak, Worasak and Zhang, Jingtian and Aslam, Nauman and Shum, Hubert P. H.},
 journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
 series={TNSRE '24},
 title={Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait},
 year={2018},
 volume={26},
 number={12},
 pages={2387--2396},
 numpages={10},
 doi={10.1109/TNSRE.2018.2880871},
 issn={1534-4320},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Rueangsirarak, Worasak
AU  - Zhang, Jingtian
AU  - Aslam, Nauman
AU  - Shum, Hubert P. H.
T2  - IEEE Transactions on Neural Systems and Rehabilitation Engineering
TI  - Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait
PY  - 2018
VL  - 26
IS  - 12
SP  - 2387
EP  - 2396
DO  - 10.1109/TNSRE.2018.2880871
SN  - 1534-4320
PB  - IEEE
ER  - 
Paper Dataset GitHub
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis Impact Factor: 7.5Top 25% Journal in Computer Science, Artificial IntelligenceCitation: 24#
Expert Systems with Applications (ESWA), 2022
Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye and Wai Lok Woo
Webpage Cite This Plain Text
Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye and Wai Lok Woo, "RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis," Expert Systems with Applications, vol. 201, pp. 117158, Elsevier, 2022.
Bibtex
@article{organisciak22robin,
 author={Organisciak, Daniel and Shum, Hubert P. H. and Nwoye, Ephraim and Woo, Wai Lok},
 journal={Expert Systems with Applications},
 series={ESWA '24},
 title={RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis},
 year={2022},
 volume={201},
 pages={117158},
 numpages={12},
 doi={10.1016/j.eswa.2022.117158},
 issn={0957-4174},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Organisciak, Daniel
AU  - Shum, Hubert P. H.
AU  - Nwoye, Ephraim
AU  - Woo, Wai Lok
T2  - Expert Systems with Applications
TI  - RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
PY  - 2022
VL  - 201
SP  - 117158
EP  - 117158
DO  - 10.1016/j.eswa.2022.117158
SN  - 0957-4174
PB  - Elsevier
ER  - 
Paper

Citations 10+

Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention
Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention Citation: 19#
Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2021
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum
Webpage Cite This Plain Text
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum, "Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention," in BHI '21: Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics, pp. 1-4, IEEE, Jul 2021.
Bibtex
@inproceedings{zhu21interpreting,
 author={Zhu, Manli and Men, Qianhui and Ho, Edmond S. L. and Leung, Howard and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics},
 series={BHI '21},
 title={Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention},
 year={2021},
 month={7},
 pages={1--4},
 numpages={4},
 doi={10.1109/BHI50953.2021.9508619},
 issn={2641-3604},
 publisher={IEEE},
}
RIS
TY  - CONF
AU  - Zhu, Manli
AU  - Men, Qianhui
AU  - Ho, Edmond S. L.
AU  - Leung, Howard
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics
TI  - Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention
PY  - 2021
Y1  - 7 2021
SP  - 1
EP  - 4
DO  - 10.1109/BHI50953.2021.9508619
SN  - 2641-3604
PB  - IEEE
ER  - 
Paper YouTube
Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video
Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video H5-Index: 96#Core A ConferenceCitation: 18#
Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang and Hubert P. H. Shum
Webpage Cite This Plain Text
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang and Hubert P. H. Shum, "Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video," in MICCAI '22: Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention, pp. 489-499, Singapore, Singapore, Springer, Sep 2022.
Bibtex
@inproceedings{zhang22posebased,
 author={Zhang, Haozheng and Ho, Edmond S. L. and Zhang, Francis Xiatian and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention},
 series={MICCAI '22},
 title={Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video},
 year={2022},
 month={9},
 pages={489--499},
 numpages={11},
 doi={10.1007/978-3-031-16440-8_47},
 isbn={978-3-031-16439-2},
 publisher={Springer},
 location={Singapore, Singapore},
}
RIS
TY  - CONF
AU  - Zhang, Haozheng
AU  - Ho, Edmond S. L.
AU  - Zhang, Francis Xiatian
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention
TI  - Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video
PY  - 2022
Y1  - 9 2022
SP  - 489
EP  - 499
DO  - 10.1007/978-3-031-16440-8_47
SN  - 978-3-031-16439-2
PB  - Springer
ER  - 
Paper Supplementary Material
A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis
A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis Impact Factor: 4.7Top 25% Journal in Computer Science, Software EngineeringCitation: 16#
IEEE Transactions on Visualization and Computer Graphics (TVCG) - Proceedings of the 2023 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2023
Kanglei Zhou, Ruizhi Cai, Yue Ma, Qingqing Tan, Xinning Wang, Jianguo Li, Hubert P. H. Shum, Frederick W. B. Li, Song Jin and Xiaohui Liang
Webpage Cite This Plain Text
Kanglei Zhou, Ruizhi Cai, Yue Ma, Qingqing Tan, Xinning Wang, Jianguo Li, Hubert P. H. Shum, Frederick W. B. Li, Song Jin and Xiaohui Liang, "A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis," IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 5, pp. 2456-2466, Shanghai, China, IEEE, 2023.
Bibtex
@article{zhou23video,
 author={Zhou, Kanglei and Cai, Ruizhi and Ma, Yue and Tan, Qingqing and Wang, Xinning and Li, Jianguo and Shum, Hubert P. H. and Li, Frederick W. B. and Jin, Song and Liang, Xiaohui},
 journal={IEEE Transactions on Visualization and Computer Graphics},
 series={VR '24},
 title={A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis},
 year={2023},
 volume={29},
 number={5},
 pages={2456--2466},
 numpages={11},
 doi={10.1109/TVCG.2023.3247092},
 issn={1941-0506},
 publisher={IEEE},
 location={Shanghai, China},
}
RIS
TY  - JOUR
AU  - Zhou, Kanglei
AU  - Cai, Ruizhi
AU  - Ma, Yue
AU  - Tan, Qingqing
AU  - Wang, Xinning
AU  - Li, Jianguo
AU  - Shum, Hubert P. H.
AU  - Li, Frederick W. B.
AU  - Jin, Song
AU  - Liang, Xiaohui
T2  - IEEE Transactions on Visualization and Computer Graphics
TI  - A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis
PY  - 2023
VL  - 29
IS  - 5
SP  - 2456
EP  - 2466
DO  - 10.1109/TVCG.2023.3247092
SN  - 1941-0506
PB  - IEEE
ER  - 
Paper YouTube

Citations 0+

A Feasibility Study on Image Inpainting for Non-Cleft Lip Generation from Patients with Cleft Lip
A Feasibility Study on Image Inpainting for Non-Cleft Lip Generation from Patients with Cleft Lip  Oral Paper
Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2022
Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond S. L. Ho, David C. G. Sainsbury, Sophie Butterworth and Hubert P. H. Shum
Webpage Cite This Plain Text
Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond S. L. Ho, David C. G. Sainsbury, Sophie Butterworth and Hubert P. H. Shum, "A Feasibility Study on Image Inpainting for Non-Cleft Lip Generation from Patients with Cleft Lip," in BHI '22: Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics, pp. 1-4, Ioannina, Greece, IEEE, Sep 2022.
Bibtex
@inproceedings{chen22feasibility,
 author={Chen, Shuang and Atapour-Abarghouei, Amir and Kerby, Jane and Ho, Edmond S. L. and Sainsbury, David C. G. and Butterworth, Sophie and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics},
 series={BHI '22},
 title={A Feasibility Study on Image Inpainting for Non-Cleft Lip Generation from Patients with Cleft Lip},
 year={2022},
 month={9},
 pages={1--4},
 numpages={4},
 doi={10.1109/BHI56158.2022.9926917},
 publisher={IEEE},
 location={Ioannina, Greece},
}
RIS
TY  - CONF
AU  - Chen, Shuang
AU  - Atapour-Abarghouei, Amir
AU  - Kerby, Jane
AU  - Ho, Edmond S. L.
AU  - Sainsbury, David C. G.
AU  - Butterworth, Sophie
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics
TI  - A Feasibility Study on Image Inpainting for Non-Cleft Lip Generation from Patients with Cleft Lip
PY  - 2022
Y1  - 9 2022
SP  - 1
EP  - 4
DO  - 10.1109/BHI56158.2022.9926917
PB  - IEEE
ER  - 
Paper GitHub
INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network
INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network Impact Factor: 1.3
Software Impacts (SIMPAC), 2023
Shuang Chen, Amir Atapour-Abarghouei, Edmond S. L. Ho and Hubert P. H. Shum
Webpage Cite This Plain Text
Shuang Chen, Amir Atapour-Abarghouei, Edmond S. L. Ho and Hubert P. H. Shum, "INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network," Software Impacts, vol. 17, pp. 100517, Elsevier, 2023.
Bibtex
@article{chen23inclg,
 author={Chen, Shuang and Atapour-Abarghouei, Amir and Ho, Edmond S. L. and Shum, Hubert P. H.},
 journal={Software Impacts},
 series={SIMPAC '24},
 title={INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network},
 year={2023},
 volume={17},
 pages={100517},
 numpages={4},
 doi={10.1016/j.simpa.2023.100517},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Chen, Shuang
AU  - Atapour-Abarghouei, Amir
AU  - Ho, Edmond S. L.
AU  - Shum, Hubert P. H.
T2  - Software Impacts
TI  - INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network
PY  - 2023
VL  - 17
SP  - 100517
EP  - 100517
DO  - 10.1016/j.simpa.2023.100517
PB  - Elsevier
ER  - 
Paper CodeOcean GitHub
Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video
Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video Impact Factor: 2.3
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2024
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din and Hubert P. H. Shum
Webpage Cite This Plain Text
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din and Hubert P. H. Shum, "Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video," International Journal of Computer Assisted Radiology and Surgery, vol. 19, pp. 831-840, Springer, 2024.
Bibtex
@article{zhang24pose,
 author={Zhang, Haozheng and Ho, Edmond S. L. and Zhang, Francis Xiatian and Din, Silvia Del and Shum, Hubert P. H.},
 journal={International Journal of Computer Assisted Radiology and Surgery},
 title={Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video},
 year={2024},
 volume={19},
 pages={831--840},
 numpages={10},
 doi={10.1007/s11548-023-03052-4},
 issn={1861-6429},
 publisher={Springer},
}
RIS
TY  - JOUR
AU  - Zhang, Haozheng
AU  - Ho, Edmond S. L.
AU  - Zhang, Francis Xiatian
AU  - Din, Silvia Del
AU  - Shum, Hubert P. H.
T2  - International Journal of Computer Assisted Radiology and Surgery
TI  - Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video
PY  - 2024
VL  - 19
SP  - 831
EP  - 840
DO  - 10.1007/s11548-023-03052-4
SN  - 1861-6429
PB  - Springer
ER  - 
Paper
Tackling Data Bias in Painting Classification with Style Transfer
Tackling Data Bias in Painting Classification with Style Transfer
Proceedings of the 2023 International Conference on Computer Vision Theory and Applications (VISAPP), 2023
Mridula Vijendran, Frederick W. B. Li and Hubert P. H. Shum
Webpage Cite This Plain Text
Mridula Vijendran, Frederick W. B. Li and Hubert P. H. Shum, "Tackling Data Bias in Painting Classification with Style Transfer," in VISAPP '23: Proceedings of the 2023 International Conference on Computer Vision Theory and Applications, pp. 250-261, Lisbon, Portugal, SciTePress, Feb 2023.
Bibtex
@inproceedings{vijendran23tackling,
 author={Vijendran, Mridula and Li, Frederick W. B. and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2023 International Conference on Computer Vision Theory and Applications},
 series={VISAPP '23},
 title={Tackling Data Bias in Painting Classification with Style Transfer},
 year={2023},
 month={2},
 pages={250--261},
 numpages={12},
 doi={10.5220/0011776600003417},
 issn={2184-4321},
 isbn={978-989-758-634-7},
 publisher={SciTePress},
 location={Lisbon, Portugal},
}
RIS
TY  - CONF
AU  - Vijendran, Mridula
AU  - Li, Frederick W. B.
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2023 International Conference on Computer Vision Theory and Applications
TI  - Tackling Data Bias in Painting Classification with Style Transfer
PY  - 2023
Y1  - 2 2023
SP  - 250
EP  - 261
DO  - 10.5220/0011776600003417
SN  - 2184-4321
PB  - SciTePress
ER  - 
Paper GitHub
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
Book Chapter: Communications in Computer and Information Science (CCIS), 2024
Mridula Vijendran, Frederick W. B. Li, Jingjing Deng and Hubert P. H. Shum
Webpage Cite This Plain Text
Mridula Vijendran, Frederick W. B. Li, Jingjing Deng and Hubert P. H. Shum, "ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification," in CCIS '24: Communications in Computer and Information Science, pp. 181-205, Springer, 2024.
Bibtex
@incollection{vijendran24stsaclf,
 author={Vijendran, Mridula and Li, Frederick W. B. and Deng, Jingjing and Shum, Hubert P. H.},
 booktitle={Communications in Computer and Information Science},
 series={CCIS '24},
 title={ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification},
 year={2024},
 pages={181--205},
 numpages={25},
 doi={10.1007/978-3-031-66743-5_9},
 isbn={978-3-031-66743-5},
 publisher={Springer},
}
RIS
TY  - CHAP
AU  - Vijendran, Mridula
AU  - Li, Frederick W. B.
AU  - Deng, Jingjing
AU  - Shum, Hubert P. H.
T2  - Communications in Computer and Information Science
TI  - ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
PY  - 2024
SP  - 181
EP  - 205
DO  - 10.1007/978-3-031-66743-5_9
SN  - 978-3-031-66743-5
PB  - Springer
ER  - 
Paper


† According to Journal Citation Reports 2023
‡ According to Core Ranking 2023
# According to Google Scholar 2025


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