Articles with public access mandates - M. Okan IrfanogluLearn more
Available somewhere: 34
Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited
C Thomas, FQ Ye, MO Irfanoglu, P Modi, KS Saleem, DA Leopold, ...
Proceedings of the National Academy of Sciences 111 (46), 16574-16579, 2014
Mandates: US National Institutes of Health
Mean apparent propagator (MAP) MRI: a novel diffusion imaging method for mapping tissue microstructure
E Özarslan, CG Koay, TM Shepherd, ME Komlosh, MO İrfanoğlu, ...
NeuroImage 78, 16-32, 2013
Mandates: US National Institutes of Health
Limits to anatomical accuracy of diffusion tractography using modern approaches
KG Schilling, V Nath, C Hansen, P Parvathaneni, J Blaber, Y Gao, ...
Neuroimage 185, 1-11, 2019
Mandates: US National Institutes of Health
Effects of image distortions originating from susceptibility variations and concomitant fields on diffusion MRI tractography results
MO Irfanoglu, L Walker, J Sarlls, S Marenco, C Pierpaoli
Neuroimage 61 (1), 275-288, 2012
Mandates: US National Institutes of Health
DR-BUDDI (Diffeomorphic Registration for Blip-Up blip-Down Diffusion Imaging) method for correcting echo planar imaging distortions
MO Irfanoglu, P Modi, A Nayak, EB Hutchinson, J Sarlls, C Pierpaoli
Neuroimage 106, 284-299, 2015
Mandates: US National Institutes of Health
Clinical feasibility of using mean apparent propagator (MAP) MRI to characterize brain tissue microstructure
AV Avram, JE Sarlls, AS Barnett, E Özarslan, C Thomas, MO Irfanoglu, ...
Neuroimage 127, 422-434, 2016
Mandates: US National Institutes of Health
What’s new and what’s next in diffusion MRI preprocessing
CMW Tax, M Bastiani, J Veraart, E Garyfallidis, MO Irfanoglu
NeuroImage 249, 118830, 2022
Mandates: US National Institutes of Health, Netherlands Organisation for Scientific …
TORTOISE v3: Improvements and new features of the NIH diffusion MRI processing pipeline
MO Irfanoglu, A Nayak, J Jenkins, C Pierpaoli
Program and proceedings of the ISMRM 25th annual meeting and exhibition …, 2017
Mandates: US Department of Defense
Tocotrienol vitamin E protects against preclinical canine ischemic stroke by inducing arteriogenesis
C Rink, G Christoforidis, S Khanna, L Peterson, Y Patel, S Khanna, ...
Journal of Cerebral Blood Flow & Metabolism 31 (11), 2218-2230, 2011
Mandates: US National Institutes of Health
DR-TAMAS: Diffeomorphic Registration for Tensor Accurate Alignment of Anatomical Structures
MO Irfanoglu, A Nayak, J Jenkins, EB Hutchinson, N Sadeghi, CP Thomas, ...
Neuroimage 132, 439-454, 2016
Mandates: US National Institutes of Health
Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models
EB Hutchinson, AV Avram, MO Irfanoglu, CG Koay, AS Barnett, ...
Magnetic resonance in medicine 78 (5), 1767-1780, 2017
Mandates: US National Institutes of Health
The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI)
L Walker, LC Chang, A Nayak, MO Irfanoglu, KN Botteron, J McCracken, ...
Neuroimage 124, 1125-1130, 2016
Mandates: US National Institutes of Health
Evaluating corrections for Eddy‐currents and other EPI distortions in diffusion MRI: methodology and a dataset for benchmarking
MO Irfanoglu, J Sarlls, A Nayak, C Pierpaoli
Magnetic resonance in medicine 81 (4), 2774-2787, 2019
Mandates: US Department of Defense, US National Institutes of Health
Defining an analytic framework to evaluate quantitative MRI markers of traumatic axonal injury: preliminary results in a mouse closed head injury model
M Haber, EB Hutchinson, N Sadeghi, WH Cheng, D Namjoshi, P Cripton, ...
eneuro 4 (5), 2017
Mandates: US Department of Defense, Canadian Institutes of Health Research
Population based MRI and DTI templates of the adult ferret brain and tools for voxelwise analysis
EB Hutchinson, SC Schwerin, KL Radomski, N Sadeghi, J Jenkins, ...
Neuroimage 152, 575-589, 2017
Mandates: US Department of Defense, US National Institutes of Health
Quantitative MRI and DTI abnormalities during the acute period following CCI in the ferret
EB Hutchinson, SC Schwerin, KL Radomski, MO Irfanoglu, SL Juliano, ...
Shock 46 (3S), 167-176, 2016
Mandates: US National Institutes of Health
Tensor classification of N-point correlation function features for histology tissue segmentation
K Mosaliganti, F Janoos, O Irfanoglu, R Ridgway, R Machiraju, K Huang, ...
Medical image analysis 13 (1), 156-166, 2009
Mandates: US National Institutes of Health
Automatic deformable diffusion tensor registration for fiber population analysis
MO Irfanoglu, R Machiraju, S Sammet, C Pierpaoli, M Knopp
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008
Mandates: US National Institutes of Health
Hypoplasia of cerebellar afferent networks in Down syndrome revealed by DTI-driven tensor based morphometry
NR Lee, A Nayak, MO Irfanoglu, N Sadeghi, CJ Stoodley, E Adeyemi, ...
Scientific reports 10 (1), 5447, 2020
Mandates: US National Institutes of Health
An imaging workflow for characterizing phenotypical change in large histological mouse model datasets
K Mosaliganti, T Pan, R Ridgway, R Sharp, L Cooper, A Gulacy, ...
Journal of biomedical informatics 41 (6), 863-873, 2008
Mandates: US National Institutes of Health
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