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Nicholas Lucarelli

Showing results (1-10 of 24) with videos related to

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Nature Reviews. Nephrology|December 15, 2025
Interactive exploration of multimodal spatial data with FUSIONNicholas Lucarelli
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Generative Modeling of Histology Tissue Reduces Human Annotation Effort for Segmentation Model DevelopmentBrendon Lutnick, Nicholas Lucarelli, Pinaki Sarder
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.
Clinical Journal of the American Society of Nephrology : CJASN|March 13, 2023
Computational Pathology Fusing Spatial TechnologiesSamuel Border, Nicholas Lucarelli, Michael T Eadon, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide ImagesBenjamin Shickel, Nicholas Lucarelli, Adish Rao, et al.
Medrxiv : the Preprint Server for Health Sciences|March 3, 2023
Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide ImagesBenjamin Shickel, Nicholas Lucarelli, Adish S Rao, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 24, 2026
Deep learning‑based cell type prediction in lung tissue from brightfield histology using CODEX-derived labelsSumanth Devarasetty, Nicholas Lucarelli, Sayat Mimar, 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.
Proceedings of Spie--The International Society for Optical Engineering|May 30, 2024
ComPRePS: An Automated Cloud-based Image Analysis tool to democratize AI in Digital PathologySayat Mimar, Anindya S Paul, Nicholas Lucarelli, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Nature Reviews. Nephrology|December 15, 2025
Interactive exploration of multimodal spatial data with FUSIONNicholas Lucarelli
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Generative Modeling of Histology Tissue Reduces Human Annotation Effort for Segmentation Model DevelopmentBrendon Lutnick, Nicholas Lucarelli, Pinaki Sarder
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.
Clinical Journal of the American Society of Nephrology : CJASN|March 13, 2023
Computational Pathology Fusing Spatial TechnologiesSamuel Border, Nicholas Lucarelli, Michael T Eadon, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 11, 2023
Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide ImagesBenjamin Shickel, Nicholas Lucarelli, Adish Rao, et al.
Medrxiv : the Preprint Server for Health Sciences|March 3, 2023
Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide ImagesBenjamin Shickel, Nicholas Lucarelli, Adish S Rao, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 24, 2026
Deep learning‑based cell type prediction in lung tissue from brightfield histology using CODEX-derived labelsSumanth Devarasetty, Nicholas Lucarelli, Sayat Mimar, 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.
Proceedings of Spie--The International Society for Optical Engineering|May 30, 2024
ComPRePS: An Automated Cloud-based Image Analysis tool to democratize AI in Digital PathologySayat Mimar, Anindya S Paul, Nicholas Lucarelli, et al.
Pageof 3