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Brandon Ginley

Showing results (1-10 of 23) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
<i>HistoLens</i>: A generalizable tool for increasing accessibility and interpretability of quantitative analyses in digital pathologySamuel P Border, Brandon Ginley, John E Tomaszewski, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 5, 2020
Generative modeling for label-free glomerular modeling and classificationBrendon Lutnick, Brandon Ginley, Kuang-Yu Jen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 24, 2017
Unsupervised labeling of glomerular boundaries using Gabor filters and statistical testing in renal histologyBrandon Ginley, John E Tomaszewski, Rabi Yacoub, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 5, 2020
Generative modeling for renal microanatomyLeema Krishna Murali, Brendon Lutnick, Brandon Ginley, et al.
Journal of Pathology Informatics|February 9, 2022
Histo-Fetch - On-the-Fly Processing of Gigapixel Whole Slide Images Simplifies and Speeds Neural Network TrainingBrendon Lutnick, Leema Krishna Murali, Brandon Ginley, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Automated Tubular Morphometric Visualization for Whole Kidney BiopsyNeil Kavthekar, Brandon Ginley, Samuel Border, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 9, 2021
<i>In Silico</i> Multi-Compartment Detection Based on Multiplex Immunohistochemical Staining in Renal PathologyKuang-Yu Jen, Leema Krishna Murali, Brendon Lutnick, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Computational Integration of Renal Histology and Urinary Proteomics using Neural NetworksNicholas Lucarelli, Donghwan Yun, Dohyun Han, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Automated Reference Kidney Histomorphometry using a Panoptic Segmentation Neural Network Correlates to Patient Demographics and CreatinineBrandon Ginley, Nicholas Lucarelli, Jarcy Zee, et al.
Nature Machine Intelligence|June 13, 2019
An integrated iterative annotation technique for easing neural network training in medical image analysisBrendon Lutnick, Brandon Ginley, Darshana Govind, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
<i>HistoLens</i>: A generalizable tool for increasing accessibility and interpretability of quantitative analyses in digital pathologySamuel P Border, Brandon Ginley, John E Tomaszewski, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 5, 2020
Generative modeling for label-free glomerular modeling and classificationBrendon Lutnick, Brandon Ginley, Kuang-Yu Jen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 24, 2017
Unsupervised labeling of glomerular boundaries using Gabor filters and statistical testing in renal histologyBrandon Ginley, John E Tomaszewski, Rabi Yacoub, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 5, 2020
Generative modeling for renal microanatomyLeema Krishna Murali, Brendon Lutnick, Brandon Ginley, et al.
Journal of Pathology Informatics|February 9, 2022
Histo-Fetch - On-the-Fly Processing of Gigapixel Whole Slide Images Simplifies and Speeds Neural Network TrainingBrendon Lutnick, Leema Krishna Murali, Brandon Ginley, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Automated Tubular Morphometric Visualization for Whole Kidney BiopsyNeil Kavthekar, Brandon Ginley, Samuel Border, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 9, 2021
<i>In Silico</i> Multi-Compartment Detection Based on Multiplex Immunohistochemical Staining in Renal PathologyKuang-Yu Jen, Leema Krishna Murali, Brendon Lutnick, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Computational Integration of Renal Histology and Urinary Proteomics using Neural NetworksNicholas Lucarelli, Donghwan Yun, Dohyun Han, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Automated Reference Kidney Histomorphometry using a Panoptic Segmentation Neural Network Correlates to Patient Demographics and CreatinineBrandon Ginley, Nicholas Lucarelli, Jarcy Zee, et al.
Nature Machine Intelligence|June 13, 2019
An integrated iterative annotation technique for easing neural network training in medical image analysisBrendon Lutnick, Brandon Ginley, Darshana Govind, et al.
Pageof 3