Stephen T.C. Wong, PhD

  • Professor of Computer Science, Systems Medicine and Bioengineering in Oncology, Houston Methodist Research Institute
  • Associate Director, Cores, Biostatistics and Bioinformatics at the Houston Methodist Cancer Center
  • Houston Methodist computer scientist, bioengineer and systems biologist
  • John S. Dunn, Sr. Presidential Distinguished Chair in Biomedical Engineering, Houston Methodist Research Institute

Stephen T.C. Wong, PhD

Areas of Expertise

  • Artificial Intelligence (AI)
  • Bioinformatics
  • Biological and medical imaging
  • Clinical neuroscience
  • Digital health
  • Drug combinations
  • Drug discovery
  • Drug repurposing / Drug repositioning
  • Health technology
  • Image-guided therapy
  • Mechanisms of cancer
  • Mechanisms of neurological disorders
  • Molecular imaging
  • Systems biology
  • Translational biophotonics

Credentials

Postdoctoral Fellowship, Japan Science and Technology Agency
MS, Lehigh University
PhD, Lehigh University
Postdoctoral Fellowship, National Science Foundation, ICOT, The Fifth Generation Computer Systems Project, MITI, Tokyo

Publications

Ryanodine receptor 1-mediated Ca2+ signaling and mitochondrial reprogramming modulate uterine serous cancer malignant phenotypes
Zhang, L, Au-Yeung, CL, Huang, C, Yeung, TL, Ferri-Borgogno, S, Lawson, BC, Kwan, SY, Yin, Z, Wong, ST, Thomas, V, Lu, KH, Yip, KP, Sham, JSK & Mok, SC 2022, , Journal of Experimental and Clinical Cancer Research, vol. 41, no. 1, 242. https://doi.org/10.1186/s13046-022-02419-w

A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model
Wang, T, He, T, Zhang, Z, Chen, Q, Zhang, L, Xia, G, Yang, L, Wang, H, Wong, STC & Li, H 2022, , International Journal of Computer Assisted Radiology and Surgery, vol. 17, no. 10, pp. 1751-1764. https://doi.org/10.1007/s11548-022-02676-2

Ex vivo expanded human regulatory T cells modify neuroinflammation in a preclinical model of Alzheimer’s disease
Faridar, A, Vasquez, M, Thome, AD, Yin, Z, Xuan, H, Wang, JH, Wen, S, Li, X, Thonhoff, JR, Zhao, W, Zhao, H, Beers, DR, Wong, ST, Masdeu, JC & Appel, SH 2022, , Acta Neuropathologica Communications, vol. 10, no. 1, 144. https://doi.org/10.1186/s40478-022-01447-z

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. https://doi.org/10.1016/j.media.2022.102522


Methyladenosine Modification in RNAs: From Regulatory Roles to Therapeutic Implications in Cancer
Qu, X, Zhang, Y, Sang, X, Ren, D, Zhao, H & Wong, STC 2022, , Cancers, vol. 14, no. 13, 3195. https://doi.org/10.3390/cancers14133195

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

hDirect-MAP: projection-free single-cell modeling of response to checkpoint immunotherapy
Lu, Y, Xue, G, Zheng, N, Han, K, Yang, W, Wang, R-S, Wu, L, Miller, LD, Pardee, T, Triozzi, PL, Lo, H-W, Watabe, K, Wong, STC, Pasche, BC, Zhang, W & Jin, G 2022, , Briefings in bioinformatics, vol. 23, no. 2. https://doi.org/10.1093/bib/bbab575

HDirect-MAP: Projection-free single-cell modeling of response to checkpoint immunotherapy
Lu, Y, Xue, G, Zheng, N, Han, K, Yang, W, Wang, RS, Wu, L, Miller, LD, Pardee, T, Triozzi, PL, Lo, HW, Watabe, K, Wong, STC, Pasche, BC, Zhang, W & Jin, G 2022, , Briefings in bioinformatics, vol. 23, no. 2, bbab575. https://doi.org/10.1093/bib/bbab575


Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information
Huang, J, Ding, W, Lv, J, Yang, J, Dong, H, Del Ser, J, Xia, J, Ren, T, Wong, ST & Yang, G 2022, , Applied Intelligence. https://doi.org/10.1007/s10489-021-03092-w

The radiomic-clinical model using the SHAP method for assessing the treatment response of whole-brain radiotherapy: a multicentric study
Wang, Y, Lang, J, Zuo, JZ, Dong, Y, Hu, Z, Xu, X, Zhang, Y, Wang, Q, Yang, L, Wong, STC, Wang, H & Li, H 2022, , European Radiology. https://doi.org/10.1007/s00330-022-08887-0

Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation
Ou, Y, Yuan, Y, Huang, X, Wong, ST, 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

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

Affective Computing for Late-Life Mood and Cognitive Disorders
Smith, E, Storch, EA, Vahia, I, Wong, STC, Lavretsky, H, Cummings, JL & Eyre, HA 2021, , Frontiers in Psychiatry, vol. 12, 782183. https://doi.org/10.3389/fpsyt.2021.782183


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

Artificial intelligence unifies knowledge and actions in drug repositioning
Yin, Z & Wong, STC 2021, , Emerging Topics in Life Sciences, vol. 5, no. 6, pp. 803-813. https://doi.org/10.1042/ETLS20210223

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

Languages

  • English
  • Chinese (Mandarin, Cantonese, Taiwanese)
  • Japanese (limited)