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researcher

J. Stember

14 papers hereh-index 13567 citations46 works total

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

author position
  • first author10
  • middle author1
  • last author3

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.NE4
  • cs.AI1
  • eess.IV1
  • physics.chem-ph1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedDeep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images

6 citations · 18 across the 14 of their papers we have counts for

collaborators
Showing q-bio.NCShow all

1 paper · 1 filter

q-bio.NC2022★ 3 cited

Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder

Joseph Stember, Danielle Stember, Luca Pasquini +3

Purpose : Because functional MRI (fMRI) data sets are in general small, we sought a data efficient approach to resting state fMRI classification of autism spectrum disorder (ASD) v…

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