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J. Alirezaie

2 papers hereh-index 191.4k citations123 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • eess.IV2

identity via Semantic Scholar / OpenAlex

most citedDeep Learning for Low-Dose CT Denoising

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2020

Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising

Sepehr Ataei, Javad Alirezaie, Paul Babyn

Low Dose CT Denoising research aims to reduce the risks of radiation exposure to patients. Recently researchers have used deep learning to denoise low dose CT images with promising…

eess.IV2019★ 4 cited

Deep Learning for Low-Dose CT Denoising

Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul Babyn

Low-dose CT denoising is a challenging task that has been studied by many researchers. Some studies have used deep neural networks to improve the quality of low-dose CT images and…

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