Fully automated whole brain segmentation from rat MRI scans with a convolutional neural network
Year: 2024
Type: article
Source: Journal of Neuroscience Methods
Authors: Valerie A. Porter, Brad A. Hobson, Brent Foster, Pamela J. Lein, Abhijit J. Chaudhari
Institution: University of California, Davis
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funders: School of Veterinary Medicine, University of California, Davis, National Institutes of Health, University of California, Davis, National Institute on Aging, National Institute of Neurological Disorders and Stroke, National Institute of Environmental Health Sciences, National Center for Advancing Translational Sciences
Awards: Does air pollution increase risk of AD in a genetically susceptible animal model?, G2826625206, Multimodality PET/CT Scanner for Small Animal Imaging, UC Davis Clinical and Translational Science Center, Novel Anticonvulsant and Neuroprotective Therapies for TETS and OP Intoxication, G477963360, G6754129548, PCB Epigenomic Brain & Behavior Lasting Effects Study (PEBBLES), Imaging biomarkers of early synaptic changes in a preclinical model of Alzheimer’s disease, G9000102683, UC Davis Clinical and Translational Science Center, NRSA Training Core (TL1), UC Davis CounterACT Center of Excellence: Developing Therapeutic Strategies for Mitigating the Chronic Neurological Consequences of Acute Organophosphate Intoxication
OpenAlex ID: W4391655225