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researcher

Sania Eskandari

3 papers here

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
  • eess.IV2
  • cs.CV1
ORCID 0000-0002-6347-2596

identity via Semantic Scholar / OpenAlex

most citedFoundational Models in Medical Imaging: A Comprehensive Survey and Future Vision

41 citations · 42 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023★ 41 cited

Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision

Bobby Azad, Reza Azad, Sania Eskandari +4

Foundation models, large-scale, pre-trained deep-learning models adapted to a wide range of downstream tasks have gained significant interest lately in various deep-learning proble…

eess.IV2023★ 1 cited

Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks

Sania Eskandari, Janet Lumpp

Melanoma is a dangerous form of skin cancer caused by the abnormal growth of skin cells. Fully Convolutional Network (FCN) approaches, including the U-Net architecture, can automat…

eess.IV2023

Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency Modeling

Sania Eskandari, Janet Lumpp, Luis Sanchez Giraldo

Melanoma, a dangerous type of skin cancer resulting from abnormal skin cell growth, can be treated if detected early. Various approaches using Fully Convolutional Networks (FCNs) h…

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