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Andreia V. Faria
Researcher at Johns Hopkins University
Publications - 127
Citations - 6383
Andreia V. Faria is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Diffusion MRI & White matter. The author has an hindex of 30, co-authored 111 publications receiving 5215 citations. Previous affiliations of Andreia V. Faria include State University of Campinas & Johns Hopkins University School of Medicine.
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Journal ArticleDOI
Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Susumu Mori,Susumu Mori,Kenichi Oishi,Hangyi Jiang,Li Jiang,Xin Li,Kazi Akhter,Kegang Hua,Andreia V. Faria,Asif Mahmood,Roger P. Woods,Arthur W. Toga,G. Bruce Pike,Pedro Rosa Neto,Alan C. Evans,Jiangyang Zhang,Hao Huang,Michael I. Miller,Peter C.M. van Zijl,John C. Mazziotta +19 more
TL;DR: White matter-specific atlases in stereotaxic coordinates are introduced and showed a high correlation between the manual ROI-based and the automated approaches for normal adult populations.
Journal ArticleDOI
Human brain white matter atlas: Identification and assignment of common anatomical structures in superficial white matter
Kenichi Oishi,Karl Zilles,Katrin Amunts,Andreia V. Faria,Hangyi Jiang,Hangyi Jiang,Xin Li,Kazi Akhter,Kegang Hua,Kegang Hua,Roger P. Woods,Arthur W. Toga,G. Bruce Pike,Pedro Rosa-Neto,Alan C. Evans,Jiangyang Zhang,Hao Huang,Michael I. Miller,Peter C.M. van Zijl,Peter C.M. van Zijl,John C. Mazziotta,Susumu Mori,Susumu Mori +22 more
TL;DR: This work used axonal fiber alignment information from diffusion tensor imaging (DTI) to delineate the peripheral white matter, and investigated its relationship with the cortex and the deep white matter.
Journal ArticleDOI
Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: application to normal elderly and Alzheimer's disease participants.
Kenichi Oishi,Andreia V. Faria,Hangyi Jiang,Hangyi Jiang,Xin Li,Kazi Akhter,Jiangyang Zhang,John Hsu,Michael I. Miller,Peter C.M. van Zijl,Peter C.M. van Zijl,Marilyn S. Albert,Marilyn S. Albert,Constantine G. Lyketsos,Roger P. Woods,Arthur W. Toga,G. Bruce Pike,Pedro Rosa-Neto,Alan C. Evans,John C. Mazziotta,Susumu Mori,Susumu Mori +21 more
TL;DR: In this article, the authors used diffusion tensor imaging (DTI) data from a single participant to establish single-participant white matter atlases based on DTI imaging.
Journal ArticleDOI
Atlas-guided tract reconstruction for automated and comprehensive examination of the white matter anatomy.
Yajing Zhang,Jiangyang Zhang,Kenichi Oishi,Andreia V. Faria,Hangyi Jiang,Hangyi Jiang,Xin Li,Kazi Akhter,Pedro Rosa-Neto,G. Bruce Pike,Alan C. Evans,Arthur W. Toga,Roger P. Woods,John C. Mazziotta,Michael I. Miller,Michael I. Miller,Peter C.M. van Zijl,Peter C.M. van Zijl,Susumu Mori,Susumu Mori +19 more
TL;DR: This paper proposes an automated approach for reconstruction of a large number of white matter tracts by storing existing anatomical knowledge about tract trajectories in a DTI-based brain atlas with 130 three-dimensional anatomical segmentations, which were warped non-linearly to individual DTI data.
Journal ArticleDOI
Multi-contrast human neonatal brain atlas: application to normal neonate development analysis.
Kenichi Oishi,Susumu Mori,Susumu Mori,Pamela Donohue,Thomas Ernst,Lynn Anderson,Steven Buchthal,Andreia V. Faria,Hangyi Jiang,Hangyi Jiang,Xin Li,Michael I. Miller,Peter C.M. van Zijl,Peter C.M. van Zijl,Linda Chang +14 more
TL;DR: The development of neonatal brain atlases with detailed anatomic information derived from DTI and co-registered anatomical MRI and a diffeomorphic transformation is reported, which was able to normalize Neonatal brain images to the atlas space and three-dimensionally parcellate images into 122 regions.