Bennett A. Landman, Ph.D.
Affiliations: | 2009 | Johns Hopkins University, Baltimore, MD |
Area:
Biomedical Engineering, Neuroscience BiologyGoogle:
"Bennett Landman"Parents
Sign in to add mentorSusumu Mori | grad student | 2009 | Johns Hopkins | |
(Diffusion imaging of the in vivo spinal cord and cerebellum: Optimization, representation, and analysis of diffusion weighted MRI.) |
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Publications
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Schilling KG, Combes AJE, Ramadass K, et al. (2024) Influence of preprocessing, distortion correction and cardiac triggering on the quality of diffusion MR images of spinal cord. Magnetic Resonance Imaging. 108: 11-21 |
Cai LY, Del Tufo SN, Barquero L, et al. (2023) Spatiospectral image processing workflow considerations for advanced MR spectroscopy of the brain. Biorxiv : the Preprint Server For Biology |
Yu T, Cai LY, Morgan VL, et al. (2023) SynBOLD-DisCo: Synthetic BOLD images for distortion correction of fMRI without additional calibration scans. Proceedings of Spie--the International Society For Optical Engineering. 12464 |
Yu T, Cai LY, Torrisi S, et al. (2023) Distortion correction of functional MRI without reverse phase encoding scans or field maps. Magnetic Resonance Imaging |
Schilling KG, Fadnavis S, Batson J, et al. (2022) Denoising of diffusion MRI in the cervical spinal cord - effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity. Neuroimage. 266: 119826 |
Kumar A, Vandekar S, Schilling K, et al. (2022) Mapping Pediatric Spinal Cord Development with Age. Proceedings of Spie--the International Society For Optical Engineering. 12032 |
Schilling KG, Palombo M, O'Grady KP, et al. (2022) Minimal number of sampling directions for robust measures of the spherical mean diffusion weighted signal: Effects of sampling directions, b-value, signal-to-noise ratio, hardware, and fitting strategy. Magnetic Resonance Imaging |
Bao S, Boyd BD, Kanakaraj P, et al. (2022) Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis. Journal of Digital Imaging |
Begnoche JP, Schilling KG, Boyd BD, et al. (2022) EPI susceptibility correction introduces significant differences far from local areas of high distortion. Magnetic Resonance Imaging. 92: 1-9 |
Radwan A, Sunaert S, Schilling K, et al. (2022) An atlas of white matter anatomy, its variability, and reproducibility based on Constrained Spherical Deconvolution of diffusion MRI. Neuroimage. 119029 |