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Nataliya Portman

3 papers hereh-index 447 citations12 works total

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

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cond-mat.stat-mech1

identity via Semantic Scholar / OpenAlex

most citedSampling algorithms for validation of supervised learning models for Ising-like systems

17 citations · 17 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2020

Local semi-supervised approach to brain tissue classification in child brain MRI

Nataliya Portman, Paule-J Toussaint, Alan C. Evans

Most segmentation methods in child brain MRI are supervised and are based on global intensity distributions of major brain structures. The successful implementation of a supervised…

eess.IV2020

Novel solutions toward high accuracy automatic brain tissue classification in young children

Nataliya Portman, Paule-J Toussaint, Alan C. Evans McConnell

Accurate automatic classification of major tissue classes and the cerebrospinal fluid in pediatric MR scans of early childhood brains remains a challenge. A poor and highly variabl…

cond-mat.stat-mech2016★ 17 cited

Sampling algorithms for validation of supervised learning models for Ising-like systems

Nataliya Portman, Isaac Tamblyn

In this paper, we build and explore supervised learning models of ferromagnetic system behavior, using Monte-Carlo sampling of the spin configuration space generated by the 2D Isin…

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