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2020 – today
- 2024
[c1]Saghir Alfasly, Abubakr Shafique, Peyman Nejat, Jibran A. Khan, Areej Alsaafin, Ghazal Alabtah, Hamid R. Tizhoosh:
Rotation-Agnostic Image Representation Learning for Digital Pathology. CVPR 2024: 11683-11693- [i8]Isaiah Lahr, Saghir Alfasly, Peyman Nejat, Jibran A. Khan, Luke Kottom, Vaishnavi Kumbhar, Areej Alsaafin, Abubakr Shafique, Sobhan Hemati, Ghazal Alabtah, Nneka I. Comfere, Dennis Murphree, Aaron Mangold, Saba Yasir, Chady Meroueh
, Lisa Boardman, Vijay H. Shah, Joaquin J. Garcia, Hamid R. Tizhoosh:
Analysis and Validation of Image Search Engines in Histopathology. CoRR abs/2401.03271 (2024) - [i7]Areej Alsaafin, Peyman Nejat, Abubakr Shafique, Jibran A. Khan, Saghir Alfasly, Ghazal Alabtah, Hamid R. Tizhoosh:
SPLICE - Streamlining Digital Pathology Image Processing. CoRR abs/2404.17704 (2024) - 2023
- [i6]Saghir Alfasly, Peyman Nejat, Sobhan Hemati, Jibran A. Khan, Isaiah Lahr, Areej Alsaafin, Abubakr Shafique, Nneka I. Comfere, Dennis Murphree, Chady Meroueh, Saba Yasir, Aaron Mangold, Lisa Boardman, Vijay H. Shah, Joaquin J. Garcia, Hamid R. Tizhoosh:
When is a Foundation Model a Foundation Model. CoRR abs/2309.11510 (2023) - [i5]Peyman Nejat, Areej Alsaafin, Ghazal Alabtah, Nneka I. Comfere, Aaron Mangold, Dennis Murphree, Patricija Zot, Saba Yasir, Joaquin J. Garcia, Hamid R. Tizhoosh:
Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection. CoRR abs/2310.03106 (2023) - [i4]Saghir Alfasly, Abubakr Shafique, Peyman Nejat, Jibran A. Khan, Areej Alsaafin, Ghazal Alabtah, Hamid R. Tizhoosh:
Rotation-Agnostic Image Representation Learning for Digital Pathology. CoRR abs/2311.08359 (2023) - [i3]Abubakr Shafique, Saghir Alfasly, Areej Alsaafin, Peyman Nejat, Jibran A. Khan, Hamid R. Tizhoosh:
Selection of Distinct Morphologies to Divide & Conquer Gigapixel Pathology Images. CoRR abs/2311.09902 (2023) - [i2]Ricardo Gonzalez, Ashirbani Saha, Clinton J. V. Campbell, Peyman Nejat, Cynthia Lokker, Andrew P. Norgan:
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities. CoRR abs/2312.03812 (2023) - [i1]Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, Clinton J. V. Campbell, Andrew P. Norgan, Cynthia Lokker:
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 abs/2312.06697 (2023)
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