◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

S. Setarehdan

2 papers hereh-index 282.9k citations170 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • eess.IV1
  • eess.SP1
same name
  • S. Setarehdan — 1 paper, h 5

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

most citedClassification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2021★ 2 cited

Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks

Elham Yousef Kalaf, Ata Jodeiri, Seyed Kamaledin Setarehdan +4

Reliable classification of benign and malignant lesions in breast ultrasound images can provide an effective and relatively low cost method for early diagnosis of breast cancer. Th…

eess.SP2020★ 1 cited

Accurate Stress Assessment based on functional Near Infrared Spectroscopy using Deep Learning Approach

Mahya Mirbagheri, Ata Jodeiri, Naser Hakimi +2

Stress is known as one of the major factors threatening human health. A large number of studies have been performed in order to either assess or relieve stress by analyzing the bra…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.