Research output per year
Research output per year
Personal profile
Research interests
My work is at the intersection of medical image analysis, machine learning, and computational neuroscience. I focus on developing novel computational methods to extract information from imaging data and delineate patterns in large heterogeneous data sets, towards improving patient-specific diagnosis and advancing our understanding of brain structure and function in health and disease. Current applications include aging and Alzheimer's Disease, as well as development and neuropsychiatric disorders.
Mentoring
Dr. Sotiras is actively looking for motivated students, postdoctoral researchers, and medical trainees interested in medical image analysis, machine learning and their applications in clinical neuroscience and neurooncology. We are dedicated to maintaining a vibrant and diverse working environment and to providing as many opportunities as possible for young trainees to pursue their scientific and professional goals.
Available to Mentor:
- Undergraduate Students
- Post-Baccalaureate Students
- PhD/MSTP Students
- Postdocs
- Residents and Fellows
Fingerprint
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Adolescent alcohol use is linked to disruptions in age-appropriate cortical thinning: an unsupervised machine learning approach
Sun, D., Adduru, V. R., Phillips, R. D., Bouchard, H. C., Sotiras, A., Michael, A. M., Baker, F. C., Tapert, S. F., Brown, S. A., Clark, D. B., Goldston, D., Nooner, K. B., Nagel, B. J., Thompson, W. K., De Bellis, M. D. & Morey, R. A., Jan 2023, In: Neuropsychopharmacology. 48, 2, p. 317-326 10 p.Research output: Contribution to journal › Article › peer-review
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Erratum: Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product (Pacific Symposium on Biocomputing (2022) (133-143) DOI: 10.1142/9789811250477_0013)
Kochunov, P., Ma, Y., Hatch, K. S., Gao, S., Schmaal, L., Jahanshad, N., Thompson, P. M., Adhikari, B. M., Bruce, H., Chiappelli, J., Van Der Vaart, A., Goldwaser, E. L., Sotiras, A., Ma, T., Chen, S., Nichols, T. E. & Hong, L. E., 2023, In: Pacific Symposium on Biocomputing. 2023, p. 555 1 p.Research output: Contribution to journal › Comment/debate
Open Access -
Age-dependent white matter disruptions after military traumatic brain injury: Multivariate analysis results from ENIGMA brain injury
Bouchard, H. C., Sun, D., Dennis, E. L., Newsome, M. R., Disner, S. G., Elman, J., Silva, A., Velez, C., Irimia, A., Davenport, N. D., Sponheim, S. R., Franz, C. E., Kremen, W. S., Coleman, M. J., Williams, M. W., Geuze, E., Koerte, I. K., Shenton, M. E., Adamson, M. M., Coimbra, R., & 11 others, Jun 1 2022, In: Human Brain Mapping. 43, 8, p. 2653-2667 15 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Benchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias
Jirsaraie, R. J., Kaufmann, T., Bashyam, V., Erus, G., Luby, J. L., Westlye, L. T., Davatzikos, C., Barch, D. M. & Sotiras, A., 2022, (Accepted/In press) In: Human Brain Mapping.Research output: Contribution to journal › Article › peer-review
Open Access -
Brain-wide versus genome-wide vulnerability biomarkers for severe mental illnesses
Kochunov, P., Ma, Y., Hatch, K. S., Jahanshad, N., Thompson, P. M., Adhikari, B. M., Bruce, H., Van der vaart, A., Goldwaser, E. L., Sotiras, A., Kvarta, M. D., Ma, T., Chen, S., Nichols, T. E. & Hong, L. E., Nov 2022, In: Human Brain Mapping. 43, 16, p. 4970-4983 14 p.Research output: Contribution to journal › Article › peer-review
Open Access