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Benjamin Bearce

Showing results (1-10 of 7) with videos related to

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Ophthalmology Science|January 29, 2025
EyeLiner: A Deep Learning Pipeline for Longitudinal Image Registration Using Fundus LandmarksYoga Advaith Veturi, Steve McNamara, Scott Kinder, et al.
Translational Vision Science & Technology|June 24, 2025
Optic Cup and Disc Segmentation of Fundus Images Using Artificial Intelligence Externally Validated With Optical Coherence Tomography MeasurementsScott Kinder, Steve McNamara, Christopher Clark, et al.
Medrxiv : the Preprint Server for Health Sciences|November 19, 2025
Patient-level forecasting of geographic atrophy with a biologically grounded Gompertz modelAaron D Beckwith, Stephen M McNamara, Yoga Advaith Veturi, et al.
Translational Vision Science & Technology|January 14, 2026
Comparing Interactive Machine Learning and Unassisted Segmentation of Geographic Atrophy From Fundus AutofluorescenceBenjamin Bearce, Steve McNamara, Scott Kinder, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 25, 2025
MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographsSamuel G Armato, Karen Drukker, Lubomir Hadjiiski, et al.
Medical Image Analysis|May 22, 2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challengeKendall Schmidt, Benjamin Bearce, Ken Chang, et al.
JAMA Network Open|February 23, 2023
A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast TomosynthesisNicholas Konz, Mateusz Buda, Hanxue Gu, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Ophthalmology Science|January 29, 2025
EyeLiner: A Deep Learning Pipeline for Longitudinal Image Registration Using Fundus LandmarksYoga Advaith Veturi, Steve McNamara, Scott Kinder, et al.
Translational Vision Science & Technology|June 24, 2025
Optic Cup and Disc Segmentation of Fundus Images Using Artificial Intelligence Externally Validated With Optical Coherence Tomography MeasurementsScott Kinder, Steve McNamara, Christopher Clark, et al.
Medrxiv : the Preprint Server for Health Sciences|November 19, 2025
Patient-level forecasting of geographic atrophy with a biologically grounded Gompertz modelAaron D Beckwith, Stephen M McNamara, Yoga Advaith Veturi, et al.
Translational Vision Science & Technology|January 14, 2026
Comparing Interactive Machine Learning and Unassisted Segmentation of Geographic Atrophy From Fundus AutofluorescenceBenjamin Bearce, Steve McNamara, Scott Kinder, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 25, 2025
MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographsSamuel G Armato, Karen Drukker, Lubomir Hadjiiski, et al.
Medical Image Analysis|May 22, 2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challengeKendall Schmidt, Benjamin Bearce, Ken Chang, et al.
JAMA Network Open|February 23, 2023
A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast TomosynthesisNicholas Konz, Mateusz Buda, Hanxue Gu, et al.
Pageof 1