Showing results (1421-1430 of 1,875) with videos related to

Sort By:
Pageof 188
Journal of Computer Assisted Tomography|April 28, 2022
Image Quality Evaluation in Dual-Energy CT of the Chest, Abdomen, and Pelvis in Obese Patients With Deep Learning Image ReconstructionEric Fair, Mark Profio, Naveen Kulkarni, et al.
Frontiers in Immunology|January 23, 2026
Pre‑partum blood leukocyte profiles distinguish gestational inflammatory stages that predict birth‑related adverse outcomesHari Shankar, Yash Gupta, Neeta Kumar, et al.
Psychoneuroendocrinology|March 24, 2018
Diet matters: Glucocorticoid-related neuroadaptations associated with calorie intake in female rhesus monkeysJodi R Godfrey, Maylen Perez Diaz, Melanie Pincus, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 7, 2008
The maturing architecture of the brain's default networkDamien A Fair, Alexander L Cohen, Nico U F Dosenbach, et al.
Environmental Toxicology and Chemistry|June 9, 2009
Polybrominated diphenyl ethers and their hydroxylated analogs in plasma of bottlenose dolphins (Tursiops truncatus) from the United States east coastMagali Houde, Grazina Pacepavicius, Colin Darling, et al.
Developmental Cognitive Neuroscience|February 12, 2023
Functional maturation in visual pathways predicts attention to the eyes in infant rhesus macaques: Effects of social statusAiden Ford, Zsofia A Kovacs-Balint, Arick Wang, et al.
Nature Communications|January 18, 2025
A data-driven latent variable approach to validating the research domain criteria frameworkS K L Quah, B Jo, C Geniesse, et al.
Frontiers in Immunology|November 14, 2024
Personalized, disease-stage specific, rapid identification of immunosuppression in sepsisTheodora Pappa, Ariel L Rivas, Michelle J Iandiorio, et al.
Biorxiv : the Preprint Server for Biology|April 1, 2024
A Data-Driven Latent Variable Approach to Validating the Research Domain Criteria FrameworkS K L Quah, B Jo, C Geniesse, et al.
Biorxiv : the Preprint Server for Biology|September 24, 2024
Predicting Task Activation Maps from Resting-State Functional Connectivity using Deep LearningSoren J Madsen, Young-Eun Lee, Lucina Q Uddin, et al.
Pageof 188