Projects per year
Personal profile
Personal profile
Dr. Steve H. Fung is a neuroradiologist at the Houston Methodist Hospital, Assistant Professor of Radiology at Weill Cornell Medical College, and Medical Director of the MRI Core at the Houston Methodist Research Institute. He graduated from the University of Texas at Austin with B.S., Highest Honors in Electrical Engineering and B.S., Highest Honors in Zoology (Neuroscience) with concentrations in mathematics and physics in 1995. He earned his M.D. from Harvard Medical School, Harvard/MIT Division of Health Sciences and Technology in 2000. His research includes work in electrophysiology, MRI, optics, ultrasound, signal and image processing. He was a postdoctoral fellow in molecular imaging at the National Institutes of Health, analyzing tumor microvasculature, modulating blood-brain barrier for enhanced drug delivery, refining and understanding limitations of various kinetic models used for estimating perfusion and permeability with dynamic contrast imaging. He was also a clinical fellow in neuroradiology at the Massachusetts General Hospital, where he worked in stroke-related research, including application of DTI in acute and chronic ischemic stroke and multivariate logistic model using CT perfusion to predict functional deficits and outcome, and clinical application of fMRI and DTI for presurgical planning. As a member of the Houston Methodist Research Institute, his research interests are in advanced MRI applications that can be applied broadly to a wide spectrum of CNS diseases, including cerebrovascular, neoplastic, and neurodegenerative diseases. He is a regular reviewer for several radiology and neuroradiology journals, including AJNR American Journal of Neuroradiology since 2008.
Research interests
-Applying advanced MRI techniques to evaluate diseases of the central nervous system, including brain tumors, cerebrovascular disease/stroke, dementia/neurodegenerative diseases, and epilepsy, to grade severity of disease and predict outcome.
-Using ASL MRI to determine regional variation of cerebral perfusion and cerebrovascular reactivity in disease states and serial changes in perfusion in response to therapeutic intervention.
-Evaluating functional connectivity using task-based and resting state functional MRI in normal and disease states.
-Analyzing tumor microvasculature and modulating the blood brain barrier for enhanced drug delivery.
Understanding limitations of kinetic models for estimating perfusion and permeability.
-Developing techniques for molecular imaging, controlled drug release, and enhanced drug delivery.
Education/Academic qualification
Neuroradiology, Clinical Fellowship, Harvard Medical School
Jul 1 2007 → Jun 30 2009
Award Date: Jun 30 2009
Radiology, Residency, University of Texas Health Science Center at Houston
Jul 1 2001 → Jul 30 2005
Award Date: Jun 30 2005
Radiology, Internship, Harbor Hospital/Johns Hopkins University
Jul 1 2000 → Jun 30 2001
Award Date: Jun 30 2001
MD, Harvard Medical School
Sep 1 1995 → Jun 30 2000
Award Date: Jun 30 2000
Research Fellowship, Imaging Sciences Training Program/National Institutes of Health
Jul 1 2005 → Jun 30 2007
Research Area Keywords
- Imaging & Radiology
- Neurosciences
- Systems Medicine & Bioinformatics
Free-text keywords
- MRI
- fMRI
- DTI
- DCE-MRI
- ASL
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EP - TRAVERSE
Valderrábano, M., Dave, A., Fung, S. H., Lador, A., Mathuria, N. & Schurmann, P. A.
11/25/19 → …
Project: Clinical Trial
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Learning-Based Approach for Personalized Craniomaxillofacial Surgical Planning
Gateno, J., Alfi, D. & Fung, S. H.
7/1/17 → 6/30/23
Project: Federal Funding Agencies
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Brain Metastases Registry
Rostomily, R. C., Baskin, D. S., Bernicker, E. H., Britz, G. W., Butler, E. B., Chang, J. C., Farach, A. M., Fung, S. H. & Teh, B. S.
Project: Clinical Trial
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Transseptal vs Retrograde Aortic Ventricular Entry to Reduce Systemic Emboli
Valderrábano, M. & Fung, S. H.
5/1/19 → 5/31/22
Project: Federal Funding Agencies
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Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation
Chen, X., Kuang, T., Deng, H., Fung, S. H., Gateno, J., Xia, J. J. & Yap, P. T., Nov 1 2022, In: IEEE Transactions on Medical Imaging. 41, 11, p. 3445-3453 9 p.Research output: Contribution to journal › Article › peer-review
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Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation
Chen, X., Lian, C., Wang, L., Deng, H., Kuang, T., Fung, S., Gateno, J., Yap, P. T., Xia, J. J. & Shen, DI., Jan 2021, In: IEEE Transactions on Medical Imaging. 40, 1, p. 274-285 12 p., 9201096.Research output: Contribution to journal › Article › peer-review
9 Scopus citations -
Diverse data augmentation for learning image segmentation with cross-modality annotations
Chen, X., Lian, C., Wang, L., Deng, H., Kuang, T., Fung, S. H., Gateno, J., Shen, D., Xia, J. J. & Yap, P. T., Jul 2021, In: Medical Image Analysis. 71, 102060.Research output: Contribution to journal › Article › peer-review
Open Access17 Scopus citations -
A case of cerebral vasculitis due to neurobartonellosis
Poursheykhi, M., Mithani, F., Garg, T., Cajavilca, C., Jaijakul, S., Fung, S., Klucznik, R. & Gadhia, R., Sep 1 2020, In: Neurology(R) neuroimmunology & neuroinflammation. 7, 5Research output: Contribution to journal › Article › peer-review
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Obstructive hydrocephalus due to aqueductal stenosis from developmental venous anomaly draining bilateral medial thalami: a case report
Xian, Z., Fung, S. H. & Nakawah, M. O., Jun 2020, In: Radiology Case Reports. 15, 6, p. 730-732 3 p.Research output: Contribution to journal › Article › peer-review