Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities by Ricardo Gonzalez, Ashirbani Saha, Clinton J.V. Campbell, Peyman Nejat, Cynthia Lokker, Andrew P. Norgan

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Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female b... by Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, Clinton J.V. Campbell, Andrew P. Norgan, Cynthia Lokker

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Creating an atlas of normal tissue for pruning WSI patching through anomaly detection by Peyman Nejat, Areej Alsaafin, Ghazal Alabtah, Nneka I. Comfere, Aaron R. Mangold, Dennis H. Murphree, Patricija Zot, Saba Yasir, Joaquin J. Garcia, H. R. Tizhoosh

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Foundation Models for Histopathology—Fanfare or Flair by Saghir Alfasly, PhD, Peyman Nejat, MD, Sobhan Hemati, PhD, Jibran Khan, Isaiah Lahr, Areej Alsaafin, PhD, Abubakr Shafique, PhD, Nneka Comfere, MD, Dennis Murphree, PhD, Chady Meroueh, MD, Saba Yasir, MBBS, Aaron Mangold, MD, Lisa Boardman, MD, Vijay H. Shah, MD, Joaquin J. Garcia, MD, H.R. Tizhoosh, PhD

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