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Eugene Shkolyar

Showing results (11-20 of 33) with videos related to

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The Urologic Clinics of North America|November 9, 2023
Bladder Cancer and Artificial Intelligence: Emerging ApplicationsMark A Laurie, Steve R Zhou, Md Tauhidul Islam, et al.
Archivio Italiano Di Urologia, Andrologia : Organo Ufficiale [Di] Societa Italiana Di Ecografia Urologica E Nefrologica|December 22, 2020
Modeling the contribution of the obesity epidemic to the temporal decline in sperm countsAlex Kasman, Francesco Del Giudice, Eugene Shkolyar, et al.
Cancers|July 9, 2022
Artificial Intelligence-Based Prognostic Model for Urologic Cancers: A SEER-Based StudyOkyaz Eminaga, Eugene Shkolyar, Bernhard Breil, et al.
The Canadian Journal of Urology|April 21, 2015
Impact of post prostate biopsy hemorrhage on multiparametric magnetic resonance imagingAli-Reza Sharif-Afshar, Tom Feng, Steven Koopman, et al.
Journal of Biomedical Informatics|April 23, 2023
Conceptual framework and documentation standards of cystoscopic media content for artificial intelligenceOkyaz Eminaga, Timothy Jiyong Lee, Jessie Ge, et al.
Arxiv|January 30, 2023
Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial IntelligenceOkyaz Eminaga, Timothy Jiyong Lee, Jessie Ge, et al.
Science Advances|June 5, 2020
SLIPS-LAB-A bioinspired bioanalysis system for metabolic evaluation of urinary stone diseaseHui Li, Eugene Shkolyar, Jing Wang, et al.
Nature Reviews. Urology|July 9, 2024
Optimizing cystoscopy and TURBT: enhanced imaging and artificial intelligenceEugene Shkolyar, Steve R Zhou, Camella J Carlson, et al.
European Urology|September 21, 2019
Augmented Bladder Tumor Detection Using Deep LearningEugene Shkolyar, Xiao Jia, Timothy C Chang, et al.
Journal of Medical Systems|October 3, 2022
An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept StudyOkyaz Eminaga, T Jessie Ge, Eugene Shkolyar, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
The Urologic Clinics of North America|November 9, 2023
Bladder Cancer and Artificial Intelligence: Emerging ApplicationsMark A Laurie, Steve R Zhou, Md Tauhidul Islam, et al.
Archivio Italiano Di Urologia, Andrologia : Organo Ufficiale [Di] Societa Italiana Di Ecografia Urologica E Nefrologica|December 22, 2020
Modeling the contribution of the obesity epidemic to the temporal decline in sperm countsAlex Kasman, Francesco Del Giudice, Eugene Shkolyar, et al.
Cancers|July 9, 2022
Artificial Intelligence-Based Prognostic Model for Urologic Cancers: A SEER-Based StudyOkyaz Eminaga, Eugene Shkolyar, Bernhard Breil, et al.
The Canadian Journal of Urology|April 21, 2015
Impact of post prostate biopsy hemorrhage on multiparametric magnetic resonance imagingAli-Reza Sharif-Afshar, Tom Feng, Steven Koopman, et al.
Journal of Biomedical Informatics|April 23, 2023
Conceptual framework and documentation standards of cystoscopic media content for artificial intelligenceOkyaz Eminaga, Timothy Jiyong Lee, Jessie Ge, et al.
Arxiv|January 30, 2023
Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial IntelligenceOkyaz Eminaga, Timothy Jiyong Lee, Jessie Ge, et al.
Science Advances|June 5, 2020
SLIPS-LAB-A bioinspired bioanalysis system for metabolic evaluation of urinary stone diseaseHui Li, Eugene Shkolyar, Jing Wang, et al.
Nature Reviews. Urology|July 9, 2024
Optimizing cystoscopy and TURBT: enhanced imaging and artificial intelligenceEugene Shkolyar, Steve R Zhou, Camella J Carlson, et al.
European Urology|September 21, 2019
Augmented Bladder Tumor Detection Using Deep LearningEugene Shkolyar, Xiao Jia, Timothy C Chang, et al.
Journal of Medical Systems|October 3, 2022
An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept StudyOkyaz Eminaga, T Jessie Ge, Eugene Shkolyar, et al.
Pageof 4