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I received my BSc degree in Electrical Engineering from the University of Calgary, my MASc in Electrical and Computer Engineering from the University of Waterloo and my PhD degree in Biomedical Engineering from the University of Western Ontario. Prior to joining Wilfrid Laurier University in 2023, I was an Associate Professor in the Department of Electrical Engineering at City University of Hong Kong (CityU). My research focuses on medical image processing, quantification, and visualization involving ultrasound and MRI with applications in cardiovascular medicine and oncology.
The overarching goal of my research program is to design, implement, validate and translate to clinical practice computational methods for medical image analysis that improve sensitive monitoring and diagnosis of diseases.
- Outstanding Supervisor Award, City University of Hong Kong, Hong Kong (2019)
- Municipal Science and Technology Project Award, Shenzhen Science and Technology Innovation Committee, China (2016)
I have research assistantship opportunities for undergraduate and graduate students interested in ultrasound imaging and MR cardiac imaging. I am willing to supervise graduate students in the areas of ultrasound and MR image segmentation, quantification and visualization.
Z. Chen, M. Jiang, B. Chiu, “Unsupervised shape-and-texture-based generative adversarial tuning of pre-trained networks for carotid segmentation from 3D ultrasound images,” Med. Phys., 2024. https://doi.org/10.1002/mp.17291
J. Ma, W. Kou, M, Lin, C.C.M. Cho, B. Chiu, “Multiclass and multilabel classifications by consensus and complementarity-based multiview latent space projection,” IEEE Trans. Syst. Man Cybern. Syst., Vol. 54, Issue 3, pp. 1705-1718, 2024. https://doi.org/10.1109/tsmc.2023.3327925
M. Jiang, B. Chiu, “A dual-stream centerline-guided network for segmentation of the common and internal carotid arteries from 3D ultrasound images,” IEEE Trans. Med. Imag., Vol. 42, Issue 9, pp. 2690-2705, 2023. https://doi.org/10.1109/tmi.2023.3263537
X. Chen, X. Fan, B. Chiu, “Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis based on Three-Dimensional Ultrasound Imaging,” Proc. of 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 295-305, Vancouver, Canada, Oct. 9-11, 2023. https://doi.org/10.1007/978-3-031-43987-2_29
X. Chen, Y. Zhao, J.D. Spence, B. Chiu, “Quantification of local vessel wall and plaque volume change for assessment of effects of therapies on carotid atherosclerosis based on three-dimensional ultrasound imaging,” Ultrasound Med. Biol., Vol. 49, No. 3, pp. 773-786, 2023. https://doi.org/10.1016/j.ultrasmedbio.2022.10.017
M. Jiang, B. Yuan, W. Kou, W. Yan, H. Marshall, Q. Yang, T. Syer, S. Punwani, M. Emberton, D.C. Barratt, C.C.M. Cho, Y. Hu, B. Chiu, “Prostate cancer segmentation from MRI by a multistream fusion encoder,” Med. Phys., Vol. 50, Issue 9, pp. 5489-5504, 2023. https://doi.org/10.1002/mp.16374
M. Lin, M. Jiang, M. Zhao, E. Ukwatta, J.A. White, B. Chiu “Cascaded triplanar autoencoder M-Net for fully automatic segmentation of left ventricle myocardial scar from three-dimensional late gadolinium-enhanced MR images,” IEEE J. Biomed. Health Inform., Vol. 26, Issue 6, pp. 2582-2593, 2022. https://doi.org/10.1109/jbhi.2022.3146013
M. Jiang, Y. Zhao, B. Chiu, “Segmentation of common and internal carotid arteries from 3D ultrasound images based on adaptive triple loss,” Med. Phys. Vol. 48, No. 9, pp. 5096-5114, 2021. https://doi.org/10.1002/mp.15127
Y. Zhao, J.D. Spence, B. Chiu, “Three-dimensional ultrasound assessment of effects of therapies on carotid atherosclerosis using vessel wall thickness map,” Ultrasound Med. Biol. Vol. 47, No. 9, pp. 2502-2513, 2021. https://doi.org/10.1016/j.ultrasmedbio.2021.04.015
X. Chen, M. Lin, H. Cui, Y. Chen, A. van Engelen, M. de Bruijne, M.R. Azarpazhooh, S.M. Sohrevardi, T.W.S. Chow, J.D. Spence, B. Chiu, “Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection,” Comput. Meth. Programs Biomed., Vol. 184, 105276, 2020. https://doi.org/10.1016/j.cmpb.2019.105276
- CP216: Introduction to Microprocessors (Winter 2024)
- EE5806: Topics of Image Processing (at CityU)
- EE4146: Data Informatics and Learning Systems (at CityU)
- EE3919: Medical Imaging and Signal Processing (at CityU)
- EE2004: Microcomputer Systems (at CityU)
- General Research Fund, Research Grants Council, Hong Kong (2018-2021, 2019-2022, 2022-2024, 2023-2025)
- Early Career Scheme, Research Grants Council, Hong Kong (2014-2017)
- Innovation and Technology Support Program, Tier 3, Innovation and Technology Commission, Hong Kong (2019-2021)
- Free Research Project, Shenzhen Science and Technology Innovation Committee, China (2016-2018)
- National Natural Science Foundation of China (NSFC) (2013-2015)
Contact Info:
E: bchiu@wlu.ca
T: 519.889.4445
Office location: N2060
Office hours:
By appointment.
Languages spoken: English, Cantonese, Mandarin