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.
Fingerprint
Dive into the research topics where Aris Sotiras is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
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
-
MRI-based identification and classification of major intracranial tumor types by using a 3D convolutional neural network: A retrospective multi-institutional analysis
Chakrabarty, S., Sotiras, A., Milchenko, M., Lamontagne, P., Hileman, M. & Marcus, D., Sep 2021, In: Radiology: Artificial Intelligence. 3, 5, e200301.Research output: Contribution to journal › Article › peer-review
Open Access1 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. B., Cui, Z., Gur, R. E., Gur, R. C., Linn, K. A., Moore, T. M., Roalf, D. R., Varol, E., Wolf, D. H., Xia, C. H., Davatzikos, C. & Satterthwaite, T. D., Mar 2021, In: Neuropsychopharmacology. 46, 4, p. 783-790 8 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans
for the iSTAGING consortium, the Preclinical AD consortium, the ADNI, and the CARDIA studies, Jan 2021, In: Alzheimer's and Dementia. 17, 1, p. 89-102 14 p.Research output: Contribution to journal › Article › peer-review
15 Scopus citations -
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., Jul 1 2020, In: Biological Psychiatry. 88, 1, p. 51-62 12 p.Research output: Contribution to journal › Review article › peer-review
8 Scopus citations