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Abolfazl Attar

3 papers hereh-index 6998 citations8 works total

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

author position
  • last author3

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

fields
  • cs.CV2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedA modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2

648 citations · 688 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 24 cited

Detecting and Counting Pistachios based on Deep Learning

Mohammad Rahimzadeh, Abolfazl Attar

Pistachios are nutritious nuts that are sorted based on the shape of their shell into two categories: Open-mouth and Closed-mouth. The open-mouth pistachios are higher in price, va…

eess.IV2020★ 648 cited

A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2

Mohammad Rahimzadeh, Abolfazl Attar

In this paper, we have trained several deep convolutional networks with introduced training techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID…

cs.CV2020★ 16 cited

Sperm Detection and Tracking in Phase-Contrast Microscopy Image Sequences using Deep Learning and Modified CSR-DCF

Mohammad reza Mohammadi, Mohammad Rahimzadeh, Abolfazl Attar

Nowadays, computer-aided sperm analysis (CASA) systems have made a big leap in extracting the characteristics of spermatozoa for studies or measuring human fertility. The first ste…

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