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Luke Geneslaw

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

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Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|April 27, 2021
Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimensTimothy M D'Alfonso, David Joon Ho, Matthew G Hanna, et al.
Nature Medicine|July 17, 2019
Clinical-grade computational pathology using weakly supervised deep learning on whole slide imagesGabriele Campanella, Matthew G Hanna, Luke Geneslaw, et al.
Journal of Pathology Informatics|October 9, 2023
Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational costOrly Ardon, Eric Klein, Allyne Manzo, et al.
Arxiv|April 10, 2023
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and RecommendationsDavid A Clunie, Adam Flanders, Adam Taylor, et al.
Nature Cancer|August 29, 2022
Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancerRami S Vanguri, Jia Luo, Andrew T Aukerman, et al.
Journal of the American Medical Informatics Association : JAMIA|July 14, 2021
Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical centerPeter J Schüffler, Luke Geneslaw, D Vijay K Yarlagadda, et al.
Nature|December 14, 2022
Ovarian cancer mutational processes drive site-specific immune evasionIgnacio Vázquez-García, Florian Uhlitz, Nicholas Ceglia, et al.
Pageof 1

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

Sort By:
Pageof 1
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|April 27, 2021
Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimensTimothy M D'Alfonso, David Joon Ho, Matthew G Hanna, et al.
Nature Medicine|July 17, 2019
Clinical-grade computational pathology using weakly supervised deep learning on whole slide imagesGabriele Campanella, Matthew G Hanna, Luke Geneslaw, et al.
Journal of Pathology Informatics|October 9, 2023
Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational costOrly Ardon, Eric Klein, Allyne Manzo, et al.
Arxiv|April 10, 2023
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and RecommendationsDavid A Clunie, Adam Flanders, Adam Taylor, et al.
Nature Cancer|August 29, 2022
Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancerRami S Vanguri, Jia Luo, Andrew T Aukerman, et al.
Journal of the American Medical Informatics Association : JAMIA|July 14, 2021
Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical centerPeter J Schüffler, Luke Geneslaw, D Vijay K Yarlagadda, et al.
Nature|December 14, 2022
Ovarian cancer mutational processes drive site-specific immune evasionIgnacio Vázquez-García, Florian Uhlitz, Nicholas Ceglia, et al.
Pageof 1