Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Kenneth A Iczkowski

Showing results (151-160 of 182) with videos related to

Pageof 19
Sort By:
Medical Image Analysis|October 20, 2018
Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple expertsGuy Nir, Soheil Hor, Davood Karimi, et al.
The American Journal of Surgical Pathology|May 17, 2021
ISUP Consensus Definition of Cribriform Pattern Prostate CancerTheodorus H van der Kwast, Geert J van Leenders, Daniel M Berney, et al.
Urology|July 19, 2020
Squamous Cell Carcinoma of the Bladder Is Not Associated With High-risk HPVJennifer Gordetsky, Andrew J Spieker, Maria Del Carmen Rodriguez Pena, et al.
Histopathology|January 16, 2023
Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteriaLars Egevad, Brett Delahunt, Kenneth A Iczkowski, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 14, 2020
Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancerSean D McGarry, John D Bukowy, Kenneth A Iczkowski, et al.
The American Journal of Surgical Pathology|August 19, 2010
Interobserver reproducibility in the diagnosis of invasive micropapillary carcinoma of the urinary tract among urologic pathologistsAnkur R Sangoi, Andrew H Beck, Mahul B Amin, et al.
Medrxiv : the Preprint Server for Health Sciences|November 28, 2024
AI-Powered cellular morphometric biomarkers discovered in needle biopsy of prostatic cancer predict neoadjuvant androgen deprivation therapy response and prognosis: an international multicenter retrospective studyHong Yan, April W Mao, Dan Li, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 16, 2020
Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural networkJohn D Bukowy, Halle Foss, Sean D McGarry, et al.
JCO Clinical Cancer Informatics|July 2, 2025
Clinical Application of Large Language Models in Generating Pathologic ImagesLingxuan Zhu, Yancheng Lai, Na Ta, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI SpaceSean D McGarry, John D Bukowy, Kenneth A Iczkowski, et al.
Pageof 19

Showing results (151-160 of 182) with videos related to

Sort By:
Pageof 19
Medical Image Analysis|October 20, 2018
Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple expertsGuy Nir, Soheil Hor, Davood Karimi, et al.
The American Journal of Surgical Pathology|May 17, 2021
ISUP Consensus Definition of Cribriform Pattern Prostate CancerTheodorus H van der Kwast, Geert J van Leenders, Daniel M Berney, et al.
Urology|July 19, 2020
Squamous Cell Carcinoma of the Bladder Is Not Associated With High-risk HPVJennifer Gordetsky, Andrew J Spieker, Maria Del Carmen Rodriguez Pena, et al.
Histopathology|January 16, 2023
Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteriaLars Egevad, Brett Delahunt, Kenneth A Iczkowski, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 14, 2020
Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancerSean D McGarry, John D Bukowy, Kenneth A Iczkowski, et al.
The American Journal of Surgical Pathology|August 19, 2010
Interobserver reproducibility in the diagnosis of invasive micropapillary carcinoma of the urinary tract among urologic pathologistsAnkur R Sangoi, Andrew H Beck, Mahul B Amin, et al.
Medrxiv : the Preprint Server for Health Sciences|November 28, 2024
AI-Powered cellular morphometric biomarkers discovered in needle biopsy of prostatic cancer predict neoadjuvant androgen deprivation therapy response and prognosis: an international multicenter retrospective studyHong Yan, April W Mao, Dan Li, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 16, 2020
Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural networkJohn D Bukowy, Halle Foss, Sean D McGarry, et al.
JCO Clinical Cancer Informatics|July 2, 2025
Clinical Application of Large Language Models in Generating Pathologic ImagesLingxuan Zhu, Yancheng Lai, Na Ta, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI SpaceSean D McGarry, John D Bukowy, Kenneth A Iczkowski, et al.
Pageof 19