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Andreia Vasconcellos Faria, M.D., Ph.D.

Photo of Dr. Andreia Vasconcellos Faria, M.D., Ph.D.
  • Associate Professor of Radiology and Radiological Science

Research Interests

Brain; MRI; DTI; fMRI: atlas-based analysis; automated MRI segmentation; stroke; psychosis; aphasia

Background

Dr. Andreia Faria earned M.D. degree, residence in Radiology, and Ph.D. degree in Neurosciences from the State University of Campinas, Brazil. Subsequently, she joined the faculty there as a Professor of Radiology. Dr. Faria completed her post-doctoral research in Radiology at the Johns Hopkins University and accepted a position as a Research Associate and then as an Assistant Professor. In 2018, Dr. Faria became an Associate Professor of Radiology in the Johns Hopkins School of Medicine.

Dr. Faria is a neuroscientist with unique expertise in neuroradiology, physics, and computational analysis. She works on technology development and translational research. Dr. Faria work focus on techniques for imaging post-processing, quantification, and multimodal MRI analysis. Dr. Faria applies these techniques to study normal brain development, neurodegenerative disorders, to create artificial intelligence models to characterize MRI patterns, and to access relationship between brain damage and functional deficits.

Dr. Faria has published more than 80 journal articles, one book, holds two patents, and is an investigator in several projects funded by the National Institutes of Health and other research institutes. 

 

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Titles

  • Associate Professor of Radiology and Radiological Science

Departments / Divisions

Education

Degrees

  • Ph.D., Universidade Estadual de Campinas - Faculdade de Ciencias Medicina - Campinas - Sao Paulo (Brazil) (2004)
  • M.D., Universidade Estadual de Campinas - Faculdade de Ciencias Medicina - Campinas - Sao Paulo (Brazil) (1998)

Research & Publications

Research Summary

Dr. Faria’s research focuses on the development of brain atlas to performed automated, structure-based analysis, and to access relationships between anatomy and brain function. Dr. Faria works on methodologies to integrate information from multiple MRI contrasts, ultimately aiming to stratify populations and to characterize brain patterns. 

Technology Expertise Keywords

MRI; image mapping; automated image analysis; artificial intelligence; deep learning; multimodal integration

Selected Publications

Mori S, Oishi K, Jiang H, Jiang L, Li X, Akhter K, Hua K, Faria AV, Mahmood A, Woods R, Toga AW, Pike GB, Neto PR, Evans A, Zhang J, Huang H, Miller MI, van Zijl P, Mazziotta J. Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template. Neuroimage. 2008;40(2):570-82. PMCID 2478641

Faria AV, Joel SE, Zhang Y, et al. Atlas-Based Analysis of Resting-State Functional Connectivity: Evaluation for Reproducibiity and Multi-Modal Anatomy-Function Correlation Studies, NeuroImage. 2012; 61(3):613-21. PMCID: 3358461

Faria AV, Ratnanather JT, Tward DJ, Lee DS, van den Noort F, Wu D, Brown T, Johnson H, Paulsen JS, Ross CA, Younes L, Miller MI; PREDICT-HD Investigators and Coordinators of the Huntington Study Group. Linking white matter and deep gray matter alterations in premanifest Huntington disease. Neuroimage Clinical. 2016; 11:450-60. PMID: 27104139

Li X, Chen L, Kutten K, Ceritoglu C, Li Y, Kang N, Hsu JT, Qiao Y, Wei H, Liu C, Miller MI, Mori S, Yousem DM, van Zijl PCM, Faria AV. Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility. Neuroimage. 2019 1;191:337-349. PMCID: 6464637

Faria AV, Crawford J, Ye C, Hsu J, Kenkare A, Schretlen D, Sawa A. Relationship between neuropsychological behavior and brain white matter in first-episode psychosis. Schizophr Res. 2019;208:49-54. PMCID: 6544495

Contact for Research Inquiries

217B Traylor Bldg
720 Rutland Ave
Baltimore, MD 21205 map

Activities & Honors

Honors

  • NIH Post-doctoral Fellowship for Foreign Neuroscientists, National Institute of Health, 2007
  • Co-author of one of the 10 Top-Cited Articles of 2008, NeuroImage, NeuroImage, 2010
  • The Acceleration Translational Incubator Pilot Program Award, Johns Hopkins University, 2010
  • The BRITESTAR Award, Department of Radiology, Johns Hopkins University, 2017
  • The Discovery Award, Johns Hopkins University, 2019
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