Deep learning in fetal, infant, and toddler neuroimaging research

By afschroeder • January 29, 2026

Chin JH, Wyburd MK, Ayzenberg V, Bayet L, Bilgic B, Chen EM, Chen Y, Dineen Á, Fujita S, Liu J, Jun Y, Camacho MC, Zöllei L. Deep learning in fetal, infant, and toddler neuroimaging research. Dev Cogn Neurosci. 2026 Jan 22;78:101680. doi: 10.1016/j.dcn.2026.101680. Epub ahead of print. PMID: 41604954.

Tags: Artificial intelligence, Baby, biomedical sciences, Cedars Sinai DoM, Deep learning, development, Early childhood, General Internal Medicine, Labeling, machine learning, MRI, Observation, Publications, ultrasound

Related Posts

Fatty Acid and Oxylipin Metabolism Differentiate Isolated Postcapillary From Combined Pre- and Postcapillary Pulmonary Hypertension

Alotaibi M, Tang A, Sun N, Gurholt I, Yuguchi E, Roberts K, Preston I, Warburton R, Yuan JX, Kim NH, Chan SY, Jain M, Cheng[...]

Young Women With Pancreatic Cancer: A High-Risk Group for Demoralization

Levi A, Nasr A, Cui Y, Abbas AA, Arouchian TT, Coveler AL, Pierce TL, Anderson BT, Collisson E, Davelaar J, Lo SK, Gaddam S, Gong[...]

Longitudinal Repeated Protein Measurements in a Multiethnic Cohort Identify Novel Diabetes Biomarkers That Reveal Unique Disease Pathways

Chen ZZ, Mi MY, Barber J, Tiwari G, Adams CD, Deng S, Shin CY, Farrell L, Rao P, Cruz DE, Wilson JG, Sevilla-Gonzalez M, Chen[...]