Peyman Nejat

According to our database1, Peyman Nejat authored at least 8 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
SPLICE - Streamlining Digital Pathology Image Processing.
CoRR, 2024

Analysis and Validation of Image Search Engines in Histopathology.
CoRR, 2024

Rotation-Agnostic Image Representation Learning for Digital Pathology.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review.
CoRR, 2023

Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities.
CoRR, 2023

Selection of Distinct Morphologies to Divide & Conquer Gigapixel Pathology Images.
CoRR, 2023

Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection.
CoRR, 2023

When is a Foundation Model a Foundation Model.
CoRR, 2023


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