Search research articles
Contact Us
Filters
Showing results (1-10 of 11) with videos related to
Page
of 2
Sort By:
Bioinformatics (Oxford, England)
|
August 6, 2021
OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology
Nita Mulliqi, Kimmo Kartasalo, Henrik Olsson, et al.
European Urology Oncology
|
May 24, 2024
Effectiveness and Cost-effectiveness of Artificial Intelligence-assisted Pathology for Prostate Cancer Diagnosis in Sweden: A Microsimulation Study
Xiaoyang Du, Shuang Hao, Henrik Olsson, et al.
Nature Communications
|
December 15, 2022
Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction
Henrik Olsson, Kimmo Kartasalo, Nita Mulliqi, et al.
BMJ Open
|
December 25, 2025
Retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies on the ProMort cohort: study protocol
Xiaoyi Ji, Renata Zelic, Oskar Aspegren, et al.
European Urology Focus
|
August 16, 2021
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps
Kimmo Kartasalo, Wouter Bulten, Brett Delahunt, et al.
Communications Medicine
|
October 15, 2025
Artificial intelligence-assisted prostate cancer diagnosis for reduced use of immunohistochemistry
Anders Blilie, Nita Mulliqi, Xiaoyi Ji, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
January 18, 2025
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence-Assisted Cancer Diagnosis
Xiaoyi Ji, Richard Salmon, Nita Mulliqi, et al.
Histopathology
|
January 16, 2023
Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteria
Lars Egevad, Brett Delahunt, Kenneth A Iczkowski, et al.
Scientific Reports
|
May 13, 2026
The impact of tissue detection on diagnostic artificial intelligence algorithms in prostate digital pathology
Sol Erika Boman, Nita Mulliqi, Anders Blilie, et al.
European Urology Open Science
|
April 20, 2026
Finding Holes: Pathologist-Level Performance Using AI for Cribriform Morphology Detection in Prostate Cancer
Kelvin Szolnoky, Anders Blilie, Nita Mulliqi, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Bioinformatics (Oxford, England)
|
August 6, 2021
OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology
Nita Mulliqi, Kimmo Kartasalo, Henrik Olsson, et al.
European Urology Oncology
|
May 24, 2024
Effectiveness and Cost-effectiveness of Artificial Intelligence-assisted Pathology for Prostate Cancer Diagnosis in Sweden: A Microsimulation Study
Xiaoyang Du, Shuang Hao, Henrik Olsson, et al.
Nature Communications
|
December 15, 2022
Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction
Henrik Olsson, Kimmo Kartasalo, Nita Mulliqi, et al.
BMJ Open
|
December 25, 2025
Retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies on the ProMort cohort: study protocol
Xiaoyi Ji, Renata Zelic, Oskar Aspegren, et al.
European Urology Focus
|
August 16, 2021
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps
Kimmo Kartasalo, Wouter Bulten, Brett Delahunt, et al.
Communications Medicine
|
October 15, 2025
Artificial intelligence-assisted prostate cancer diagnosis for reduced use of immunohistochemistry
Anders Blilie, Nita Mulliqi, Xiaoyi Ji, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
January 18, 2025
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence-Assisted Cancer Diagnosis
Xiaoyi Ji, Richard Salmon, Nita Mulliqi, et al.
Histopathology
|
January 16, 2023
Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteria
Lars Egevad, Brett Delahunt, Kenneth A Iczkowski, et al.
Scientific Reports
|
May 13, 2026
The impact of tissue detection on diagnostic artificial intelligence algorithms in prostate digital pathology
Sol Erika Boman, Nita Mulliqi, Anders Blilie, et al.
European Urology Open Science
|
April 20, 2026
Finding Holes: Pathologist-Level Performance Using AI for Cribriform Morphology Detection in Prostate Cancer
Kelvin Szolnoky, Anders Blilie, Nita Mulliqi, et al.
Page
of 2