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Hazrat Ali

6 papers hereh-index 10416 citations14 works total

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

author position
  • middle author4
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • eess.SP2
  • cs.CV1
same name
  • Hazrat Ali — 11 papers, h 13
  • Hazrat Ali — 10 papers, h 18
  • Hazrat Ali — 6 papers, h 2
  • Hazrat Ali — 3 papers, h 3
  • Hazrat Ali — 3 papers, h 7
  • Hazrat Ali — 2 papers, h 7

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
20192022
most citedR2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation

109 citations · 344 across the 6 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

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.IV2021★ 54 cited

Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network

Muhammad Shakaib Iqbal, Hazrat Ali, Son N. Tran +1

Food resources face severe damages under extraordinary situations of catastrophes such as earthquakes, cyclones, and tsunamis. Under such scenarios, speedy assessment of food resou…

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