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researcher

L. Schmaal

5 papers hereh-index 6316.8k citations297 works total

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

author position
  • middle author4

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • q-bio.QM3
  • cs.LG1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedMulti-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

7 citations · 11 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

q-bio.QM2023★ 2 cited

Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model

Roberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng +84

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if…

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