Projects per year
Personal profile
Personal profile
Dr. Wong is a biomedical engineer who specializes in developing new imaging systems for the visualization of human disease. He received his Magnetic Resonance (MR) physics training at Columbia University in New York City, and in 2005, he joined the Functional and Molecular Imaging Center of the Brigham and Women’s Hospital and the HCNR Center of Bioinformatics in the Harvard Medical School as a Postdoctoral Fellow. In 2007, he left Harvard and joined the Methodist Hospital Research Institute to direct the Translational Multimodality Optical Imaging laboratory.
Research interests
Dr. Wong’s current research interests focus on clinical and preclinical MR imaging research. In addition to establishing the advanced neuroimaging capabilities at TT and WF Chao Center for BRAIN for neurological disorders, his laboratory focuses on image-guided optical imaging for cellular and molecular imaging for glioblastoma and lung cancer diagnosis. He also combines his expertise in small animal MRI and optical imaging to investigate the tumor vasculature microenvironment using multimodality multiscale image-based modeling. His current projects include:
-Image Guided Optical Molecular Imaging in Lung Cancer Diagnosis
-MR Perfusion derived Tissue Residual Function Analysis of Glioblastoma undergoing Anti-angiogenic/Anti-vascular Therapy
-Multimodailty Multiscale Image-based Modeling of Glioblastoma
Education/Academic qualification
Bioinformatics, Postdoctoral Fellowship, Harvard Medical School
Electrical & Electronic Engineering, M Phil, University of Hong Kong
Electrical & Electronic Engineering, PhD, University of Hong Kong
Research Area Keywords
- Systems Medicine & Bioinformatics
- Cancer
Free-text keywords
- Cancer imaging
- Image-guided intervention
- Molecular imaging
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Projects
- 4 Finished
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The Saint Louis University Component of the NASH Clinical Research Network
12/22/14 → 6/30/15
Project: Federal Funding Agencies
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(PQD-5) Patient Derived Orthotopic Xenograft Models for Drug Response Prediction
5/15/14 → 4/30/18
Project: Federal Funding Agencies
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Research output
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Image-to-image translation of label-free molecular vibrational images for a histopathological review using the UNet+/seg-cGAN model
He, Y., Li, J., Shen, S., Liu, K., WONG, KELVIN. K., He, T. & WONG, STEPHEN. T. C., Apr 1 2022, In: Biomedical Optics Express. 13, 4, p. 1924-1938 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes
Yao, K., Wong, K. K., Yu, X., Volpi, J. & Wong, S. T. C., 2021, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021. Institute of Electrical and Electronics Engineers Inc., p. 1727-1730 4 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes
Yao, K., Wong, K. K., Yu, X., Volpi, J. & Wong, S. T. C., Nov 2021, In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021, p. 1727-1730 4 p.Research output: Contribution to journal › Article › peer-review
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LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-Weighted MR Images
Ou, Y., Yuan, Y., Huang, X., Wong, K., Volpi, J., Wang, J. Z. & Wong, S. T. C., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 731-741 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12901 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification
Mobiny, A., Yuan, P., Cicalese, P. A., Moulik, S. K., Garg, N., Wu, C. C., Wong, K., Wong, S. T., He, T. C. & Nguyen, H. V., Oct 1 2021, In: IEEE Transactions on Medical Imaging. 40, 10, p. 2869-2879 11 p.Research output: Contribution to journal › Article › peer-review
6 Scopus citations