Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

15 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Results By Year timeline is not available.
Page 1
Brain-phenotype predictions can survive across diverse real-world data.
Adkinson BD, Rosenblatt M, Dadashkarimi J, Tejavibulya L, Jiang R, Noble S, Scheinost D. Adkinson BD, et al. Among authors: tejavibulya l. bioRxiv [Preprint]. 2024 Jan 24:2024.01.23.576916. doi: 10.1101/2024.01.23.576916. bioRxiv. 2024. PMID: 38328100 Free PMC article. Preprint.
The effects of data leakage on connectome-based machine learning models.
Rosenblatt M, Tejavibulya L, Jiang R, Noble S, Scheinost D. Rosenblatt M, et al. Among authors: tejavibulya l. bioRxiv [Preprint]. 2023 Dec 28:2023.06.09.544383. doi: 10.1101/2023.06.09.544383. bioRxiv. 2023. PMID: 38234740 Free PMC article. Updated. Preprint.
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available.
Dadashkarimi J, Karbasi A, Liang Q, Rosenblatt M, Noble S, Foster M, Rodriguez R, Adkinson B, Ye J, Sun H, Camp C, Farruggia M, Tejavibulya L, Dai W, Jiang R, Pollatou A, Scheinost D. Dadashkarimi J, et al. Among authors: tejavibulya l. Med Image Anal. 2023 Aug;88:102864. doi: 10.1016/j.media.2023.102864. Epub 2023 Jun 8. Med Image Anal. 2023. PMID: 37352650
Heightened sensitivity to high-calorie foods in children at risk for obesity: insights from behavior, neuroimaging, and genetics.
Rapuano KM, Tejavibulya L, Dinc EN, Li A, Davis H, Korn R, Leibel RL, Walsh BT, Ranzenhofer L, Rosenbaum M, Casey BJ, Mayer L. Rapuano KM, et al. Among authors: tejavibulya l. Brain Imaging Behav. 2023 Oct;17(5):461-470. doi: 10.1007/s11682-023-00773-7. Epub 2023 May 5. Brain Imaging Behav. 2023. PMID: 37145386 Free PMC article.
Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer.
Scheinost D, Pollatou A, Dufford AJ, Jiang R, Farruggia MC, Rosenblatt M, Peterson H, Rodriguez RX, Dadashkarimi J, Liang Q, Dai W, Foster ML, Camp CC, Tejavibulya L, Adkinson BD, Sun H, Ye J, Cheng Q, Spann MN, Rolison M, Noble S, Westwater ML. Scheinost D, et al. Among authors: tejavibulya l. Biol Psychiatry. 2023 May 15;93(10):893-904. doi: 10.1016/j.biopsych.2022.10.014. Epub 2022 Oct 29. Biol Psychiatry. 2023. PMID: 36759257 Free PMC article. Review.
Predicting the future of neuroimaging predictive models in mental health.
Tejavibulya L, Rolison M, Gao S, Liang Q, Peterson H, Dadashkarimi J, Farruggia MC, Hahn CA, Noble S, Lichenstein SD, Pollatou A, Dufford AJ, Scheinost D. Tejavibulya L, et al. Mol Psychiatry. 2022 Aug;27(8):3129-3137. doi: 10.1038/s41380-022-01635-2. Epub 2022 Jun 13. Mol Psychiatry. 2022. PMID: 35697759 Free PMC article. Review.
15 results