◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

A. Holodny

5 papers hereh-index 446.6k citations231 works total

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

author position
  • middle author3
  • last author2

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

fields
  • q-bio.NC4
  • cs.NE1

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedFinding influential nodes for integration in brain networks using optimal percolation theory

108 citations · 116 across the 5 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.NE2022

Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices

Joseph Stember, Mehrnaz Jenabi, Luca Pasquini +3

Whereas MRI produces anatomic information about the brain, functional MRI (fMRI) tells us about neural activity within the brain, including how various regions communicate with eac…

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.