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Ali Bashashati

2 papers here

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author position
  • last author2

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

fields
  • eess.IV2
ORCID 0000-0002-4212-7224

identity via Semantic Scholar / OpenAlex

most citedBenchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024★ 1 cited

Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images

Mayur Mallya, Ali Khajegili Mirabadi, Hossein Farahani +1

Bevacizumab is a widely studied targeted therapeutic drug used in conjunction with standard chemotherapy for the treatment of recurrent ovarian cancer. While its administration has…

eess.IV2023

VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology

Ramin Nakhli, Allen Zhang, Hossein Farahani +8

In clinical practice, many diagnosis tasks rely on the identification of cells in histopathology images. While supervised machine learning techniques require labels, providing manu…

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