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Brian Befano

Showing results (41-50 of 52) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|September 11, 2023
Design of the HPV-Automated Visual Evaluation (PAVE) Study: Validating a Novel Cervical Screening StrategySilvia de Sanjosé, Rebecca B Perkins, Nicole G Campos, et al.
Journal of the National Cancer Institute|January 11, 2019
An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer ScreeningLiming Hu, David Bell, Sameer Antani, et al.
Scientific Reports|December 8, 2023
Reproducible and clinically translatable deep neural networks for cervical screeningSyed Rakin Ahmed, Brian Befano, Andreanne Lemay, et al.
Research Square|March 13, 2023
REPRODUCIBLE AND CLINICALLY TRANSLATABLE DEEP NEURAL NETWORKS FOR CANCER SCREENINGSyed Rakin Ahmed, Brian Befano, Andreanne Lemay, et al.
PLOS Digital Health|October 2, 2024
Assessing generalizability of an AI-based visual test for cervical cancer screeningSyed Rakin Ahmed, Didem Egemen, Brian Befano, et al.
Cancer Epidemiology|April 27, 2023
Use of risk-based cervical screening programs in resource-limited settingsRebecca B Perkins, Debi L Smith, Jose Jeronimo, et al.
Scientific Reports|February 21, 2025
Generalizable deep neural networks for image quality classification of cervical imagesSyed Rakin Ahmed, Brian Befano, Didem Egemen, et al.
Journal of Lower Genital Tract Disease|March 7, 2022
Contribution of Etiologic Cofactors to CIN3+ Risk Among Women With Human Papillomavirus-Positive Screening Test ResultsMaria Demarco, Didem Egemen, Noorie Hyun, et al.
Vaccine|March 23, 2015
Rationale and design of a long term follow-up study of women who did and did not receive HPV 16/18 vaccination in Guanacaste, Costa RicaPaula Gonzalez, Allan Hildesheim, Rolando Herrero, et al.
Eclinicalmedicine|June 9, 2020
A study of type-specific HPV natural history and implications for contemporary cervical cancer screening programsMaria Demarco, Noorie Hyun, Olivia Carter-Pokras, et al.
Pageof 6

Showing results (41-50 of 52) with videos related to

Sort By:
Pageof 6
Medrxiv : the Preprint Server for Health Sciences|September 11, 2023
Design of the HPV-Automated Visual Evaluation (PAVE) Study: Validating a Novel Cervical Screening StrategySilvia de Sanjosé, Rebecca B Perkins, Nicole G Campos, et al.
Journal of the National Cancer Institute|January 11, 2019
An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer ScreeningLiming Hu, David Bell, Sameer Antani, et al.
Scientific Reports|December 8, 2023
Reproducible and clinically translatable deep neural networks for cervical screeningSyed Rakin Ahmed, Brian Befano, Andreanne Lemay, et al.
Research Square|March 13, 2023
REPRODUCIBLE AND CLINICALLY TRANSLATABLE DEEP NEURAL NETWORKS FOR CANCER SCREENINGSyed Rakin Ahmed, Brian Befano, Andreanne Lemay, et al.
PLOS Digital Health|October 2, 2024
Assessing generalizability of an AI-based visual test for cervical cancer screeningSyed Rakin Ahmed, Didem Egemen, Brian Befano, et al.
Cancer Epidemiology|April 27, 2023
Use of risk-based cervical screening programs in resource-limited settingsRebecca B Perkins, Debi L Smith, Jose Jeronimo, et al.
Scientific Reports|February 21, 2025
Generalizable deep neural networks for image quality classification of cervical imagesSyed Rakin Ahmed, Brian Befano, Didem Egemen, et al.
Journal of Lower Genital Tract Disease|March 7, 2022
Contribution of Etiologic Cofactors to CIN3+ Risk Among Women With Human Papillomavirus-Positive Screening Test ResultsMaria Demarco, Didem Egemen, Noorie Hyun, et al.
Vaccine|March 23, 2015
Rationale and design of a long term follow-up study of women who did and did not receive HPV 16/18 vaccination in Guanacaste, Costa RicaPaula Gonzalez, Allan Hildesheim, Rolando Herrero, et al.
Eclinicalmedicine|June 9, 2020
A study of type-specific HPV natural history and implications for contemporary cervical cancer screening programsMaria Demarco, Noorie Hyun, Olivia Carter-Pokras, et al.
Pageof 6