Kelvin Wong

Kelvin Wong, PhD

Associate Research Professor of Electronic Engineering in Radiology, Academic Institute
Associate Research Member, Research Institute
Houston Methodist


kwong@houstonmethodist.org
Biography

Dr. Wong is a biomedical engineer who specializes in developing new imaging systems and methods 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 joined the Houston Methodist Research Institute and is a faculty member of Weill Cornell Medicine since 2008.  

Description of Research

Dr. Wong’s current research interests focus on machine learning and deep learning in medical imaging. He is a Director of neuroimaging at TT and WF Chao Center for BRAIN for neurological disorders. His laboratory specialized in using deep learning derived features in addition to clinical features from electronic medical records for outcome prediction. Some examples include deep genomic features for glioblastoma patient survival modeling, deep imaging features for stroke patient outcome modeling.

Areas Of Expertise

Molecular imaging Cancer imaging Image-guided intervention
Education & Training

PhD, University of Hong Kong
M Phil, University of Hong Kong
Postdoctoral Fellowship, Harvard University
Publications

Systems and Methods for Whole Brain Net Water Uptake Imaging in Human using Non-Contrast CT (Filed using the same title for potential merging in the PCT filing 18/325,602)
Wong, K, Wong, ST & Volpi, JJ Oct. 10 2023, .

AI-Generated Net Water Uptake Map as Tissue Clock in Visualizing Potentially Reversible Ischemic Stroke on Non-Contrast CT Scans
Ghosh, R, Wong, K, Volpi, JJ, Wong, ST & Hodics, T 2023, .

Generation of Whole Brain Net Water Uptake Map Using Non-contrast Computed Tomography
Wong, K, Hodics, T, Ghosh, R, Volpi, JJ & Wong, ST 2023, , 15th World Stroke Congress, Toronto, Canada, 10/10/23 - 10/12/23.

BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior
Ou, Y, Huang, SX, Wong, KK, Cummock, J, Volpi, J, Wang, JZ & Wong, ST 2023, , Computerized Medical Imaging and Graphics, vol. 107, 102236, pp. 102236. https://doi.org/10.1016/j.compmedimag.2023.102236

Reliability of the National Institutes of Health (NIH) Stroke Scale Between Emergency Room and Neurology Physicians for Initial Stroke Severity Scoring
Cummock, JS, Wong, KK, Volpi, JJ & Wong, ST 2023, , Cureus, vol. 15, no. 4, pp. e37595. https://doi.org/10.7759/cureus.37595

Automated catheter segmentation and tip detection in cerebral angiography with topology-aware geometric deep learning
Ghosh, R, Wong, K, Zhang, YJ, Britz, GW & Wong, STC 2023, , Journal of neurointerventional surgery, vol. 16, no. 3, pp. 290-295. https://doi.org/10.1136/jnis-2023-020300

Storyline-Centric Detection of Aphasia and Dysarthria in Stroke Patient Transcripts
Sui, P, Wong, KK, Yu, X, Volpi, JJ & Wong, STC 2023, . in 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), pp. 422-432, 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023. held at ACL 2023, Toronto, Canada, 7/14/23.

Mrs. Dalloway Said She Would Segment the Chapters Herself
Sui, P, Wang, L, Hamilton, S, Ries, T, Wong, K & Wong, ST 2023, . in N Akoury, E Clark, M Iyyer, S Chaturvedi, F Brahman & KR Chandu (eds), 5th Workshop on Narrative Understanding, WNU 2023 - Proceedings of the Workshop. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), pp. 92-105, 5th Workshop on Narrative Understanding, WNU 2023, Toronto, Canada, 7/14/23.

METHOD OF CT DENOISING EMPLOYING DEEP LEARNING OF MULTIPLE CO-REGISTERED SCANS OF THE SAME PERSON AND GROUP CONVOLUTIONAL NEURAL NETWORK ANALYSES
Wong, K, Wong, ST & Volpi, JJ Oct. 27 2022, , Patent No. WO2022225580.

Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-contrast CT Scans
Ni, H, Xue, Y, Wong, K, Volpi, J, Wong, STC, Wang, JZ & Huang, X 2022, . in L Wang, Q Dou, PT Fletcher, S Speidel & S Li (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13438 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 416-426, 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, Singapore, Singapore, 9/18/22. https://doi.org/10.1007/978-3-031-16452-1_40

Automatic Segmentation in Acute Ischemic Stroke: Prognostic Significance of Topological Stroke Volumes on Stroke Outcome
Wong, KK, Cummock, JS, Li, G, Ghosh, R, Xu, P, Volpi, JJ & Wong, STC 2022, , Stroke, vol. 53, no. 9, pp. 2896-2905. https://doi.org/10.1161/STROKEAHA.121.037982

DeepStroke: An efficient stroke screening framework for emergency rooms with multimodal adversarial deep learning
Cai, T, Ni, H, Yu, M, Huang, X, Wong, K, Volpi, J, Wang, JZ & Wong, STC 2022, , Medical Image Analysis, vol. 80, 102522, pp. 102522. https://doi.org/10.1016/j.media.2022.102522

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, KELVINK, He, T & WONG, STEPHENTC 2022, , Biomedical Optics Express, vol. 13, no. 4, pp. 1924-1938. https://doi.org/10.1364/BOE.445319

Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation
Ou, Y, Yuan, Y, Huang, X, Wong, STC, Volpi, J, Wang, JZ & Wong, K 2022, . in L Wang, Q Dou, PT Fletcher, S Speidel & S Li (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13435 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 475-484, 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, Singapore, Singapore, 9/18/22. https://doi.org/10.1007/978-3-031-16443-9_46

Retrospective study of deep learning to reduce noise in non-contrast head CT images
Wong, KK, Cummock, JS, He, Y, Ghosh, R, Volpi, JJ & Wong, STC 2021, , Computerized Medical Imaging and Graphics, vol. 94, 101996. https://doi.org/10.1016/j.compmedimag.2021.101996

An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes
Yao, K, Wong, KK, Yu, X, Volpi, J & Wong, STC 2021, , Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2021, pp. 1727-1730. https://doi.org/10.1109/EMBC46164.2021.9629720

Erratum for PMID 21180585
Ghosh, R, Cummock, JS, Wong, K, Volpi, JJ & Wong, ST 2021, , European Stroke Organization Conference 2021, 9/1/21 - 9/3/21 pp. 371. https://doi.org/10.1177%2F23969873211034932

Severe Cerebral Small Vessel Disease Burden Is Associated With Poor Outcomes After Endovascular Thrombectomy in Acute Ischemic Stroke With Large Vessel Occlusion
Hooper, D, Nisar, T, McCane, D, Lee, J, Ling, KC, Vahidy, F, Wong, K, Wong, S, Chiu, D & Gadhia, R 2021, , Cureus, vol. 13, no. 2, pp. e13122. https://doi.org/10.7759/cureus.13122

Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification
Mobiny, A, Yuan, P, Cicalese, PA, Moulik, SK, Garg, N, Wu, CC, Wong, K, Wong, ST, He, TC & Nguyen, HV 2021, , IEEE Transactions on Medical Imaging, vol. 40, no. 10, pp. 2869-2879. https://doi.org/10.1109/TMI.2021.3051089

LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-Weighted MR Images
Ou, Y, Yuan, Y, Huang, X, Wong, K, Volpi, J, Wang, JZ & Wong, STC 2021, . in M de Bruijne, M de Bruijne, PC Cattin, S Cotin, N Padoy, S Speidel, Y Zheng & C Essert (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12901 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 731-741, 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Virtual, Online, 9/27/21. https://doi.org/10.1007/978-3-030-87193-2_69

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