Multi-contrast computed tomography healthy kidney atlas
Year: 2022
Type: article
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funders: National Science Foundation, Patient-Centered Outcomes Research Institute, Vanderbilt University, Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Georgia Clinical and Translational Science Alliance, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Center for Advancing Translational Sciences, Common Fund
Awards: G1385891582, CAREER: Modeling Personalized Brain Development with Big Data, Vanderbilt University Biomolecular Multimodal Imaging Center for 3-Dimensional Tissue Mapping, Computer-Assited Functional Neurosurgery, G3028612868, G3903728482, G3999073622, G4011179826, Computer-Assisted functional neurosurgery, G510737083, G5575560717, G6636911908, G6643239557, G6671297155, Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRI, G7697714081, G7764234106, The Vanderbilt Institute for Clinical and Translational Research (VICTR), G9000197737, G9000313436, Vanderbilt University Biomolecular Multimodal Imaging Center for 3-Dimensional Mapping of the Human Kidney
OpenAlex ID: W3117043207