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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Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes
Alzheimer's Disease Neuroimaging Initiative, Jan 2022, In: Medical Image Analysis. 75, 102304.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Synthesizing pseudo-T2w images to recapture missing data in neonatal neuroimaging with applications in rs-fMRI
Kaplan, S., Perrone, A., Alexopoulos, D., Kenley, J. K., Barch, D. M., Buss, C., Elison, J. T., Graham, A. M., Neil, J. J., O'Connor, T. G., Rasmussen, J. M., Rosenberg, M. D., Rogers, C. E., Sotiras, A., Fair, D. A. & Smyser, C. D., Jun 2022, In: NeuroImage. 253, 119091.Research output: Contribution to journal › Article › peer-review
Open Access -
Timing and Type of Early Psychopathology Symptoms Predict Longitudinal Change in Cortical Thickness From Middle Childhood Into Early Adolescence
Luking, K. R., Jirsaraie, R. J., Tillman, R., Luby, J. L., Barch, D. M. & Sotiras, A., Apr 2022, In: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 7, 4, p. 397-405 9 p.Research output: Contribution to journal › Article › peer-review
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A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System
Camilleri, J. A., Eickhoff, S. B., Weis, S., Chen, J., Amunts, J., Sotiras, A. & Genon, S., Dec 2021, In: Scientific reports. 11, 1, 16896.Research output: Contribution to journal › Article › peer-review
Open Access -
BrainTumorNet: Multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images
Chakrabarty, S., Sotiras, A., Milchenko, M., Lamontagne, P., Abraham, C., Robinson, C. & Marcus, D., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, 115960K. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review