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Shoaib Azmat

3 papers hereh-index 11576 citations33 works total

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

author position
  • middle author1
  • last author2

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

fields
  • eess.IV3

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedR2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation

109 citations · 205 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2025

Cross Modality Medical Image Synthesis for Improving Liver Segmentation

Muhammad Rafiq, Hazrat Ali, Ghulam Mujtaba +2

Deep learning-based computer-aided diagnosis (CAD) of medical images requires large datasets. However, the lack of large publicly available labeled datasets limits the development…

eess.IV2022★ 109 cited

R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation

Mehreen Mubashar, Hazrat Ali, Christer Gronlund +1

U-Net is a widely adopted neural network in the domain of medical image segmentation. Despite its quick embracement by the medical imaging community, its performance suffers on com…

eess.IV2020★ 96 cited

Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks

Faizan Munawar, Shoaib Azmat, Talha Iqbal +2

Chest X-ray (CXR) is a low-cost medical imaging technique. It is a common procedure for the identification of many respiratory diseases compared to MRI, CT, and PET scans. This pap…

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