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M. Jafari

10 papers hereh-index 242.4k citations45 works total

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

author position
  • first author2
  • middle author6

Across the 8 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • eess.IV3
  • cs.CV1
  • eess.SP1
  • q-bio.NC1
same name
  • M. Jafari — 9 papers, h 13
  • M. Jafari — 7 papers, h 7
  • M. Jafari — 6 papers, h 4
  • M. Jafari — 6 papers, h 5
  • M. Jafari — 5 papers, h 19
  • M. Jafari — 5 papers, h 16

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
20202023
most citedEpileptic Seizures Detection Using Deep Learning Techniques: A Review

463 citations · 1k across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.LG2021★ 92 cited

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

Afshin Shoeibi, Parisa Moridian, Marjane Khodatars +9

Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand movements.…

eess.IV2021★ 187 cited

Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review

Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari +9

Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of the nervous system. I…

eess.IV2021

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir +13

The coronavirus (COVID-19) is currently the most common contagious disease which is prevalent all over the world. The main challenge of this disease is the primary diagnosis to pre…

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