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researcher

D. Dima

2 papers hereh-index 356.6k citations82 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedMulti-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

7 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.QM2022★ 7 cited

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Vladimir Belov, Tracy Erwin-Grabner, Ali Saffet Gonul +63

Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predict…

cs.LG2017★ 1 cited

Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model

Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad +13

Large-scale collaborative analysis of brain imaging data, in psychiatry and neu-rology, offers a new source of statistical power to discover features that boost ac-curacy in diseas…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.