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researcher

Soroush Farghadani

2 papers hereh-index 262 citations3 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
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedIA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 6 cited

IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction

Anees Kazi, Soroush Farghadani, Nassir Navab

Interpretability in Graph Convolutional Networks (GCNs) has been explored to some extent in computer vision in general, yet, in the medical domain, it requires further examination.…

eess.IV2021

Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI

Reza Shirkavand, Sana Ayromlou, Soroush Farghadani +7

Early detection of dementia through specific biomarkers in MR images plays a critical role in developing support strategies proactively. Fazekas scale facilitates an accurate quant…

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