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Asian Pacific Journal of Cancer Prevention : APJCP
|
November 29, 2022
Pancreatic Cancer in Iran - Result of the Iranian National Cancer Registry Program
Saba Alvand, Gholamreza Roshandel, Peyman Nejat, et al.
Journal of Pathology Informatics
|
December 13, 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
Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, et al.
The American Journal of Pathology
|
July 20, 2024
Sequential Patching Lattice for Image Classification and Enquiry: Streamlining Digital Pathology Image Processing
Areej Alsaafin, Peyman Nejat, Abubakr Shafique, et al.
Journal of Pathology Informatics
|
January 1, 2024
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo Gonzalez, Ashirbani Saha, Clinton J V Campbell, et al.
Mayo Clinic Proceedings. Digital Health
|
June 26, 2025
Optimizing Digital Management of Research and Collaboration With Academic Information Manager
Peyman Nejat, Vitali Fedosov, Chady Meroueh, et al.
Hypertension (Dallas, Tex. : 1979)
|
November 3, 2025
Performance of Large Language Models in Analyzing Common Hypertension Scenarios
Jaleh Zand, Jing Miao, Musab S Hommos, et al.
Medrxiv : the Preprint Server for Health Sciences
|
September 2, 2025
Who Makes It Through the Funnel? Sociodemographic Drivers of Recruitment Completion into an AI-Ready Digital Speech Bank
Peyman Nejat, Ashley D Bachman, Vicki M Stubbs, et al.
Journal of Medical Internet Research
|
February 25, 2026
Sociodemographic Drivers of Recruitment and Attrition in Digital Neurological Research: Longitudinal Cohort Study
Peyman Nejat, Ashley D Bachman, Vicki M Stubbs, et al.
Scientific Reports
|
February 17, 2024
Creating an atlas of normal tissue for pruning WSI patching through anomaly detection
Peyman Nejat, Areej Alsaafin, Ghazal Alabtah, et al.
Mayo Clinic Proceedings. Digital Health
|
April 10, 2025
Foundation Models for Histopathology-Fanfare or Flair
Saghir Alfasly, Peyman Nejat, Sobhan Hemati, et al.
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Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Asian Pacific Journal of Cancer Prevention : APJCP
|
November 29, 2022
Pancreatic Cancer in Iran - Result of the Iranian National Cancer Registry Program
Saba Alvand, Gholamreza Roshandel, Peyman Nejat, et al.
Journal of Pathology Informatics
|
December 13, 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
Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, et al.
The American Journal of Pathology
|
July 20, 2024
Sequential Patching Lattice for Image Classification and Enquiry: Streamlining Digital Pathology Image Processing
Areej Alsaafin, Peyman Nejat, Abubakr Shafique, et al.
Journal of Pathology Informatics
|
January 1, 2024
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo Gonzalez, Ashirbani Saha, Clinton J V Campbell, et al.
Mayo Clinic Proceedings. Digital Health
|
June 26, 2025
Optimizing Digital Management of Research and Collaboration With Academic Information Manager
Peyman Nejat, Vitali Fedosov, Chady Meroueh, et al.
Hypertension (Dallas, Tex. : 1979)
|
November 3, 2025
Performance of Large Language Models in Analyzing Common Hypertension Scenarios
Jaleh Zand, Jing Miao, Musab S Hommos, et al.
Medrxiv : the Preprint Server for Health Sciences
|
September 2, 2025
Who Makes It Through the Funnel? Sociodemographic Drivers of Recruitment Completion into an AI-Ready Digital Speech Bank
Peyman Nejat, Ashley D Bachman, Vicki M Stubbs, et al.
Journal of Medical Internet Research
|
February 25, 2026
Sociodemographic Drivers of Recruitment and Attrition in Digital Neurological Research: Longitudinal Cohort Study
Peyman Nejat, Ashley D Bachman, Vicki M Stubbs, et al.
Scientific Reports
|
February 17, 2024
Creating an atlas of normal tissue for pruning WSI patching through anomaly detection
Peyman Nejat, Areej Alsaafin, Ghazal Alabtah, et al.
Mayo Clinic Proceedings. Digital Health
|
April 10, 2025
Foundation Models for Histopathology-Fanfare or Flair
Saghir Alfasly, Peyman Nejat, Sobhan Hemati, et al.
Page
of 2