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Seyedeh-Zahra Mousavi Kouzehkanan

3 papers hereh-index 245 citations4 works total

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

author position
  • first author2
  • middle author1

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

fields
  • cs.CV1
  • cs.LG1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedEasy-GT: Open-Source Software to Facilitate Making the Ground Truth for White Blood Cells Nucleus

3 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 1 cited

Introducing One Sided Margin Loss for Solving Classification Problems in Deep Networks

Ali Karimi, Zahra Mousavi Kouzehkanan, Reshad Hosseini +1

This paper introduces a new loss function, OSM (One-Sided Margin), to solve maximum-margin classification problems effectively. Unlike the hinge loss, in OSM the margin is explicit…

eess.IV2021★ 3 cited

Easy-GT: Open-Source Software to Facilitate Making the Ground Truth for White Blood Cells Nucleus

Zahra Mousavi Kouzehkanan, Sajad Tavakoli, Arezoo Alipanah

The nucleus of white blood cells (WBCs) plays a significant role in their detection and classification. Appropriate feature extraction of the nucleus is necessary to fit a suitable…

cs.CV2020

Contour Integration using Graph-Cut and Non-Classical Receptive Field

Zahra Mousavi Kouzehkanan, Reshad Hosseini, Babak Nadjar Araabi

Many edge and contour detection algorithms give a soft-value as an output and the final binary map is commonly obtained by applying an optimal threshold. In this paper, we propose…

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