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Bennett Allan Landman
Bennett Allan Landman
Electrical and Computer Engineering, Vanderbilt University
Verified email at vanderbilt.edu - Homepage
Title
Cited by
Cited by
Year
Water saturation shift referencing (WASSR) for chemical exchange saturation transfer (CEST) experiments
M Kim, J Gillen, BA Landman, J Zhou, PCM Van Zijl
Magnetic Resonance in Medicine: An Official Journal of the International …, 2009
6702009
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
PM Thompson, JL Stein, SE Medland, DP Hibar, AA Vasquez, ...
Brain imaging and behavior 8 (2), 153-182, 2014
5712014
The future of digital health with federated learning
N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ...
NPJ digital medicine 3 (1), 1-7, 2020
5642020
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B Van Ginneken, ...
arXiv preprint arXiv:1902.09063, 2019
5252019
Effects of signal‐to‐noise ratio on the accuracy and reproducibility of diffusion tensor imaging–derived fractional anisotropy, mean diffusivity, and principal eigenvector …
JAD Farrell, BA Landman, CK Jones, SA Smith, JL Prince, P van Zijl, ...
Journal of Magnetic Resonance Imaging 26 (3), 756-767, 2007
3792007
Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA–DTI working group
N Jahanshad, PV Kochunov, E Sprooten, RC Mandl, TE Nichols, ...
Neuroimage 81, 455-469, 2013
3572013
Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T
BA Landman, JAD Farrell, CK Jones, SA Smith, JL Prince, S Mori
Neuroimage 36 (4), 1123-1138, 2007
3142007
Multi-parametric neuroimaging reproducibility: a 3-T resource study
BA Landman, AJ Huang, A Gifford, DS Vikram, IAL Lim, JAD Farrell, ...
Neuroimage 54 (4), 2854-2866, 2011
2882011
Unetr: Transformers for 3d medical image segmentation
A Hatamizadeh, Y Tang, V Nath, D Yang, A Myronenko, B Landman, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
2602022
Non-local statistical label fusion for multi-atlas segmentation
AJ Asman, BA Landman
Medical image analysis 17 (2), 194-208, 2013
2392013
Why rankings of biomedical image analysis competitions should be interpreted with care
L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ...
Nature communications 9 (1), 1-13, 2018
1872018
Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data
P Kochunov, N Jahanshad, D Marcus, A Winkler, E Sprooten, TE Nichols, ...
Neuroimage 111, 300-311, 2015
1842015
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
1682019
Synseg-net: Synthetic segmentation without target modality ground truth
Y Huo, Z Xu, H Moon, S Bao, A Assad, TK Moyo, MR Savona, ...
IEEE transactions on medical imaging 38 (4), 1016-1025, 2018
1642018
Histological validation of diffusion MRI fiber orientation distributions and dispersion
KG Schilling, V Janve, Y Gao, I Stepniewska, BA Landman, AW Anderson
Neuroimage 165, 200-221, 2018
1462018
The Java Image Science Toolkit (JIST) for rapid prototyping and publishing of neuroimaging software
BC Lucas, JA Bogovic, A Carass, PL Bazin, JL Prince, DL Pham, ...
Neuroinformatics 8 (1), 5-17, 2010
1432010
MICCAI 2012: Workshop on multi-atlas labeling
BA Landman, SK Warfield
éditeur non identifié, 2019
1402019
3D whole brain segmentation using spatially localized atlas network tiles
Y Huo, Z Xu, Y Xiong, K Aboud, P Parvathaneni, S Bao, C Bermudez, ...
NeuroImage 194, 105-119, 2019
1392019
Resolution of crossing fibers with constrained compressed sensing using diffusion tensor MRI
BA Landman, JA Bogovic, H Wan, FEZ ElShahaby, PL Bazin, JL Prince
NeuroImage 59 (3), 2175-2186, 2012
1362012
Deep learning for brain tumor classification
JS Paul, AJ Plassard, BA Landman, D Fabbri
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and …, 2017
1342017
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Articles 1–20