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.
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Research output
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Approaches to Defining Common and Dissociable Neurobiological Deficits Associated With Psychopathology in Youth
Kaczkurkin, A. N., Moore, T. M., Sotiras, A., Xia, C. H., Shinohara, R. T. & Satterthwaite, T. D., Jan 1 2020, (Accepted/In press) In: Biological Psychiatry.Research output: Contribution to journal › Review article › peer-review
3 Scopus citations -
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols
Bakas, S., Shukla, G., Akbari, H., Erus, G., Sotiras, A., Rathore, S., Sako, C., Ha, S. M., Rozycki, M., Singh, A., Shinohara, R., Bilello, M. & Davatzikos, C., Jan 1 2020, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei, B. & Linte, C. A. (eds.). SPIE, 113151S. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11315).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases
Wen, J., Varol, E., Chand, G., Sotiras, A. & Davatzikos, C., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 678-687 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Neurobiological Divergence of the Positive and Negative Schizophrenia Subtypes Identified on a New Factor Structure of Psychopathology Using Non-negative Factorization: An International Machine Learning Study
Pharmacotherapy Monitoring and Outcome Survey (PHAMOUS) Investigators, Feb 1 2020, In: Biological Psychiatry. 87, 3, p. 282-293 12 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Neurocognitive and functional heterogeneity in depressed youth
Baller, E. B., Kaczkurkin, A. N., Sotiras, A., Adebimpe, A., Bassett, D. S., Calkins, M. E., Chand, G., Cui, Z., Gur, R. E., Gur, R. C., Linn, K. A., Moore, T., Roalf, D. R., Varol, E., Wolf, D. H., Xia, C. H., Davatzikos, C. & Satterthwaite, T. D., 2020, (Accepted/In press) In: Neuropsychopharmacology.Research output: Contribution to journal › Article › peer-review