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Basel Alyafi

4 papers here

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV2

identity via Semantic Scholar / OpenAlex

most citedComparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

eess.IV2019

Quality analysis of DCGAN-generated mammography lesions

Basel Alyafi, Oliver Diaz, Joan C Vilanova +2

Medical image synthesis has gained a great focus recently, especially after the introduction of Generative Adversarial Networks (GANs). GANs have been used widely to provide anatom…

eess.IV2019

DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography

Basel Alyafi, Oliver Diaz, Robert Marti

Early detection of breast cancer has a major contribution to curability, and using mammographic images, this can be achieved non-invasively. Supervised deep learning, the dominant…

cs.CV2019★ 1 cited

Comparative Analysis of Automatic Skin Lesion Segmentation with Two Different Implementations

Md. Kamrul Hasan, Basel Alyafi, Fakrul Islam Tushar

Lesion segmentation from the surrounding skin is the first task for developing automatic Computer-Aided Diagnosis of skin cancer. Variant features of lesion like uneven distributio…

cs.CV2019

Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques

Fakrul Islam Tushar, Basel Alyafi, Md. Kamrul Hasan +1

Automatic segmentation of brain Magnetic Resonance Imaging (MRI) images is one of the vital steps for quantitative analysis of brain for further inspection. In this paper, NeuroNet…

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