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researcher

Z. Fu

16 papers hereh-index 364.8k citations183 works total

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

author position
  • middle author16

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • eess.IV3
  • cs.CV2
  • q-bio.NC1
  • q-bio.QM1
same name
  • Z. Fu — 19 papers, h 11
  • Z. Fu — 15 papers, h 12
  • Z. Fu — 12 papers, h 14
  • Z. Fu — 8 papers, h 14
  • Z. Fu — 4 papers
  • Z. Fu — 4 papers, h 28

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedA deep learning model for data-driven discovery of functional connectivity

18 citations · 28 across the 10 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.CV2019★ 3 cited

Learnt dynamics generalizes across tasks, datasets, and populations

U. Mahmood, M. M. Rahman, A. Fedorov +3

Differentiating multivariate dynamic signals is a difficult learning problem as the feature space may be large yet often only a few training examples are available. Traditional app…

eess.IV2019

Transfer Learning of fMRI Dynamics

Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov +2

As a mental disorder progresses, it may affect brain structure, but brain function expressed in brain dynamics is affected much earlier. Capturing the moment when brain dynamics ex…

cs.LG2019

Prediction of Progression to Alzheimer's disease with Deep InfoMax

Alex Fedorov, R Devon Hjelm, Anees Abrol +4

Arguably, unsupervised learning plays a crucial role in the majority of algorithms for processing brain imaging. A recently introduced unsupervised approach Deep InfoMax (DIM) is a…

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