His scientific interests lie mostly in Diffusion MRI, White matter, Neuroscience, Magnetic resonance imaging and Anatomy. His Diffusion MRI research integrates issues from Nuclear medicine, Brain mapping and Artificial intelligence. His Artificial intelligence study integrates concerns from other disciplines, such as Computer vision and Pattern recognition.
His work on Association fiber as part of general White matter research is often related to Periventricular leukomalacia, thus linking different fields of science. The Magnetic resonance imaging study combines topics in areas such as Large deformation diffeomorphic metric mapping and Neuroimaging. Susumu Mori interconnects Superior longitudinal fasciculus, Iterative reconstruction and Corticospinal tract in the investigation of issues within Anatomy.
His primary areas of study are Diffusion MRI, Neuroscience, White matter, Magnetic resonance imaging and Artificial intelligence. His research integrates issues of Brain mapping, Nuclear magnetic resonance and Anatomy in his study of Diffusion MRI. His Neuroscience research incorporates themes from Huntington's disease and Brain morphometry.
His work in White matter addresses subjects such as Corpus callosum, which are connected to disciplines such as Internal capsule. His work carried out in the field of Magnetic resonance imaging brings together such families of science as Brain atlas, In vivo and Pathology. His Artificial intelligence research incorporates elements of Atlas, Atlas, Computer vision and Pattern recognition.
Susumu Mori spends much of his time researching Diffusion MRI, Neuroscience, Artificial intelligence, White matter and Magnetic resonance imaging. As a part of the same scientific study, Susumu Mori usually deals with the Diffusion MRI, concentrating on Pathology and frequently concerns with Brain size. His Neuroscience study frequently draws connections between related disciplines such as Anatomy.
Susumu Mori has included themes like Atlas, Machine learning and Pattern recognition in his Artificial intelligence study. His White matter research includes themes of Analysis of covariance, Correlation, Amyloid deposition, Globus pallidus and Cortex. His Magnetic resonance imaging study integrates concerns from other disciplines, such as Hydrocephalus, Cardiology, Internal medicine, Dementia and Positron emission tomography.
Diffusion MRI, White matter, Neuroscience, Brain segmentation and Artificial intelligence are his primary areas of study. His work in the fields of Tractography overlaps with other areas such as Complex network. His White matter study is concerned with the field of Magnetic resonance imaging as a whole.
His studies deal with areas such as Subventricular zone, Huntington's disease and Anatomy as well as Neuroscience. His Brain segmentation research is multidisciplinary, relying on both Cognition, Atrophy, Data mining and Data set. His studies in Artificial intelligence integrate themes in fields like Atlas, Atlas and Pattern recognition.
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Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging.
Susumu Mori;Barbara J. Crain;V. P. Chacko;Peter C. M. Van Zijl.
Annals of Neurology (1999)
Fiber tracking: Principles and strategies - A technical review
Susumu Mori;Peter C. M. van Zijl.
NMR in Biomedicine (2002)
Fiber tract-based atlas of human white matter anatomy.
Setsu Wakana;Hangyi Jiang;Lidia M. Nagae-Poetscher;Peter C. M. van Zijl.
Principles of Diffusion Tensor Imaging and Its Applications to Basic Neuroscience Research
Susumu Mori;Susumu Mori;Jiangyang Zhang.
Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Susumu Mori;Susumu Mori;Kenichi Oishi;Hangyi Jiang;Li Jiang.
Reproducibility of Quantitative Tractography Methods Applied to Cerebral White Matter
Setsu Wakana;Arvind Caprihan;Martina M. Panzenboeck;James H. Fallon.
Tract Probability Maps in Stereotaxic Spaces: Analyses of White Matter Anatomy and Tract-Specific Quantification
Kegang Hua;Jiangyang Zhang;Setsu Wakana;Hangyi Jiang.
DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking
Hangyi Jiang;Hangyi Jiang;Peter C.M. van Zijl;Peter C.M. van Zijl;Jinsuh Kim;Jinsuh Kim;Godfrey D. Pearlson;Godfrey D. Pearlson.
Computer Methods and Programs in Biomedicine (2006)
Diffusion Tensor Imaging and Beyond
Jacques Donald Tournier;Susumu Mori;Alexander Leemans.
Magnetic Resonance in Medicine (2011)
Improved sensitivity of HSQC spectra of exchanging protons at short interscan delays using a new fast HSQC (FHSQC) detection scheme that avoids water saturation.
S. Mori;C. Abeygunawardana;M.O. Johnson;P.C.M. Vanzijl.
Journal of Magnetic Resonance, Series B (1995)
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