Deep learning in fetal, infant, and toddler neuroimaging research

Authors

• Jenna H Chin, University of Denver
• Madeleine K Wyburd, University of Copenhagen
• Vladislav Ayzenberg, University of Pennsylvania
• Laurie Bayet, American University
• Berkin Bilgic, Harvard University
• Emily M Chen, Stanford University
• Yuting Chen, Harvard University
• Áine Dineen, Trinity College Dublin, Ireland
• Shohei Fujita, Harvard University
• Janelle Liu, University of California, Los Angeles
• Yohan Jun, Harvard University
• M Catalina Camacho, Washington University School of Medicine in St. Louis
• Lilla Zöllei, Harvard University

Journal

Developmental Cognitive Neuroscience

Publication Date

4-1-2026

Volume

78

First Page

101680

Document Type

Open Access Publication

DOI

10.1016/j.dcn.2026.101680

Rights and Permissions

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 Apr;78:101680. doi: 10.1016/j.dcn.2026.101680. © 2026 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/bync/4.0/).

Recommended Citation

Chin, Jenna H; Wyburd, Madeleine K; Ayzenberg, Vladislav; Bayet, Laurie; Bilgic, Berkin; Chen, Emily M; Chen, Yuting; Dineen, Áine; Fujita, Shohei; Liu, Janelle; Jun, Yohan; Camacho, M Catalina; and Zöllei, Lilla, "Deep learning in fetal, infant, and toddler neuroimaging research." Developmental Cognitive Neuroscience. 78, 101680 (2026).
https://digitalcommons.wustl.edu/oa_4/6756