J. Tilak Ratnanather
Affiliations: | Johns Hopkins University, Baltimore, MD |
Area:
computational anatomy of subcortical, cortical, white matter and cellular structures; mathematical models of cochlear outer hair cellGoogle:
"J. Tilak Ratnanather"Mean distance: 16.67 (cluster 6) | S | N | B | C | P |
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Publications
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Dhir SB, Kutten KS, Li M, et al. (2020) Visualising the topography of the acoustic radiation in clinical diffusion tensor imaging scans. Neuroradiology |
Ratnanather JT. (2019) Structural neuroimaging of the altered brain stemming from pediatric and adolescent hearing loss-Scientific and clinical challenges. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. e1469 |
Liu CF, Padhy S, Ramachandran S, et al. (2019) Using Deep Siamese Neural Networks for Detection of Brain Asymmetries Associated with Alzheimer's Disease and Mild Cognitive Impairment. Magnetic Resonance Imaging |
Kulason S, Tward DJ, Brown T, et al. (2018) Cortical thickness atrophy in the transentorhinal cortex in mild cognitive impairment. Neuroimage. Clinical |
Tang X, Ross CA, Johnson H, et al. (2018) Regional subcortical shape analysis in premanifest Huntington's disease. Human Brain Mapping |
Faria AV, Ratnanather JT, Tward DJ, et al. (2016) Linking white matter and deep gray matter alterations in premanifest Huntington disease. Neuroimage. Clinical. 11: 450-60 |
Miller MI, Ratnanather JT, Tward DJ, et al. (2015) Network Neurodegeneration in Alzheimer's Disease via MRI Based Shape Diffeomorphometry and High-Field Atlasing. Frontiers in Bioengineering and Biotechnology. 3: 54 |
Soldan A, Pettigrew C, Lu Y, et al. (2015) Relationship of medial temporal lobe atrophy, APOE genotype, and cognitive reserve in preclinical Alzheimer's disease. Human Brain Mapping. 36: 2826-41 |
Mahon PB, Lee DS, Trinh H, et al. (2015) Morphometry of the amygdala in schizophrenia and psychotic bipolar disorder. Schizophrenia Research. 164: 199-202 |
Miller MI, Younes L, Ratnanather JT, et al. (2015) Amygdalar atrophy in symptomatic Alzheimer's disease based on diffeomorphometry: the BIOCARD cohort. Neurobiology of Aging. 36: S3-S10 |