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Paul Koomey

2 papers hereh-index 321 citations5 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
  • q-bio.TO1

identity via Semantic Scholar / OpenAlex

most citedClinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression

6 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.TO2023★ 4 cited

The State of Applying Artificial Intelligence to Tissue Imaging for Cancer Research and Early Detection

Michael Robben, Amir Hajighasemi, Mohammad Sadegh Nasr +9

Artificial intelligence represents a new frontier in human medicine that could save more lives and reduce the costs, thereby increasing accessibility. As a consequence, the rate of…

eess.IV2023★ 6 cited

Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression

Mohammad Sadegh Nasr, Amir Hajighasemi, Paul Koomey +6

In this paper, we introduce a Variational Autoencoder (VAE) based training approach that can compress and decompress cancer pathology slides at a compression ratio of 1:512, which…

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