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Andrew Janowczyk

Showing results (11-20 of 69) with videos related to

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JCO Clinical Cancer Informatics|April 17, 2019
HistoQC: An Open-Source Quality Control Tool for Digital Pathology SlidesAndrew Janowczyk, Ren Zuo, Hannah Gilmore, et al.
The Journal of Pathology. Clinical Research|July 21, 2021
Quick Annotator: an open-source digital pathology based rapid image annotation toolRuntian Miao, Robert Toth, Yu Zhou, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|February 14, 2017
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancersDavid Romo-Bucheli, Andrew Janowczyk, Hannah Gilmore, et al.
Scientific Reports|September 8, 2016
Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide ImagesDavid Romo-Bucheli, Andrew Janowczyk, Hannah Gilmore, et al.
Archives of Pathology & Laboratory Medicine|October 19, 2025
Standardized Reporting of Core Needle Biopsy TortuosityJackson Jacobs, Dan Wiener, Tilak Pathak, et al.
Endocrine Pathology|July 18, 2025
Correction: Impact of Tissue Thickness on Computational Quantification of Features in Whole Slide Images for Diagnostic PathologyManav Shah, António Polónia, Mónica Curado, et al.
Endocrine Pathology|April 8, 2025
Impact of Tissue Thickness on Computational Quantification of Features in Whole Slide Images for Diagnostic PathologyManav Shah, António Polónia, Mónica Curado, et al.
Journal of Pathology Informatics|October 21, 2022
MMO-Net (Multi-Magnification Organ Network): A use case for Organ Identification using Multiple Magnifications in Preclinical Pathology StudiesCitlalli Gámez Serna, Fernando Romero-Palomo, Filippo Arcadu, et al.
Medical Image Analysis|December 14, 2022
Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancerYufei Zhou, Can Koyuncu, Cheng Lu, et al.
Pathologie (Heidelberg, Germany)|November 21, 2023
National digital pathology projects in Switzerland: A 2023 updateRainer Grobholz, Andrew Janowczyk, Ana Leni Frei, et al.
Pageof 7

Showing results (11-20 of 69) with videos related to

Sort By:
Pageof 7
JCO Clinical Cancer Informatics|April 17, 2019
HistoQC: An Open-Source Quality Control Tool for Digital Pathology SlidesAndrew Janowczyk, Ren Zuo, Hannah Gilmore, et al.
The Journal of Pathology. Clinical Research|July 21, 2021
Quick Annotator: an open-source digital pathology based rapid image annotation toolRuntian Miao, Robert Toth, Yu Zhou, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|February 14, 2017
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancersDavid Romo-Bucheli, Andrew Janowczyk, Hannah Gilmore, et al.
Scientific Reports|September 8, 2016
Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide ImagesDavid Romo-Bucheli, Andrew Janowczyk, Hannah Gilmore, et al.
Archives of Pathology & Laboratory Medicine|October 19, 2025
Standardized Reporting of Core Needle Biopsy TortuosityJackson Jacobs, Dan Wiener, Tilak Pathak, et al.
Endocrine Pathology|July 18, 2025
Correction: Impact of Tissue Thickness on Computational Quantification of Features in Whole Slide Images for Diagnostic PathologyManav Shah, António Polónia, Mónica Curado, et al.
Endocrine Pathology|April 8, 2025
Impact of Tissue Thickness on Computational Quantification of Features in Whole Slide Images for Diagnostic PathologyManav Shah, António Polónia, Mónica Curado, et al.
Journal of Pathology Informatics|October 21, 2022
MMO-Net (Multi-Magnification Organ Network): A use case for Organ Identification using Multiple Magnifications in Preclinical Pathology StudiesCitlalli Gámez Serna, Fernando Romero-Palomo, Filippo Arcadu, et al.
Medical Image Analysis|December 14, 2022
Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancerYufei Zhou, Can Koyuncu, Cheng Lu, et al.
Pathologie (Heidelberg, Germany)|November 21, 2023
National digital pathology projects in Switzerland: A 2023 updateRainer Grobholz, Andrew Janowczyk, Ana Leni Frei, et al.
Pageof 7