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More information: Zolnamar Dorjsembe et al, Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis, IEEE Journal of Biomedical and Health Informatics (2024). DOI: 10.1109/JBHI.2024. ...
MRI-based Identification and Classification of Major Intracranial Tumor Types Using a 3D Convolutional Neural Network: A Retrospective Multi-Institutional Analysis.
Chakrabarty, S., et al. (2021) MRI-based identification and classification of major intracranial tumor types using a 3D convolutional neural network: A retrospective multi-institutional analysis.
Having 3D printed models of MRI and CT scans can make it easier to understand and approach treatment options. By Nicole Oran on November 30, 2015 10:12 am. Share. Share Options.
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GE HealthCare launches Sonic DL for 3D to expedite MRI scans - MSNInitially released last year for cardiac MRI, Sonic DL for 3D is currently designed to support brain, spine, orthopaedic, and body exams, claiming up to a 12-fold increase in accelerating the scan ...
Till D. Lerch, MD, and colleagues compared CT- and MRI-based osseous 3D models of 31 hips in 26 patients with symptomatic femoroacetabular impingement. News News CME CME ...
Authors of "3D Convolutional Deep Learning for Nonlinear Estimation of Body Composition from Whole Body Morphology" included Pennington Biomedical Research Center's Dr. Steven Heymsfield ...
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