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researcher

H. Asgharnezhad

10 papers hereh-index 9449 citations17 works total

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

author position
  • first author3
  • middle author6

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG3
  • eess.IV3
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedAn Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis

183 citations · 209 across the 9 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2021★ 8 cited

Confidence Aware Neural Networks for Skin Cancer Detection

Donya Khaledyan, AmirReza Tajally, Ali Sarkhosh +4

Deep learning (DL) models have received particular attention in medical imaging due to their promising pattern recognition capabilities. However, Deep Neural Networks (DNNs) requir…

eess.IV2020★ 1 cited

Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection

Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani +4

Deep neural networks (DNNs) have been widely applied for detecting COVID-19 in medical images. Existing studies mainly apply transfer learning and other data representation strateg…

eess.IV2020★ 183 cited

An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis

Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan +5

The early and reliable detection of COVID-19 infected patients is essential to prevent and limit its outbreak. The PCR tests for COVID-19 detection are not available in many countr…

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