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M. Abdelsamea

18 papers hereh-index 182.1k citations61 works total

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

author position
  • sole author4
  • first author2
  • middle author7
  • last author5

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • eess.IV3

identity via Semantic Scholar / OpenAlex

activity
20142026
most citedMCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

76 citations · 108 across the 16 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2025★ 2 cited

CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification

Asmaa Abbas, Mohamed Gaber, Mohammed M. Abdelsamea

Curriculum learning strategies have been proven to be effective in various applications and have gained significant interest in the field of machine learning. It has the ability to…

eess.IV2020

4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection

Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Gaber

Due to the high availability of large-scale annotated image datasets, knowledge transfer from pre-trained models showed outstanding performance in medical image classification. How…

eess.IV2020★ 5 cited

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber

Chest X-ray is the first imaging technique that plays an important role in the diagnosis of COVID-19 disease. Due to the high availability of large-scale annotated image datasets,…

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