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Molecular Pharmacology
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January 15, 2017
AKT1, LKB1, and YAP1 Revealed as MYC Interactors with NanoLuc-Based Protein-Fragment Complementation Assay
Xiulei Mo, Qi Qi, Andrei A Ivanov, et al.
Neuro-Oncology
|
March 18, 2016
Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients
James S Cordova, Hui-Kuo G Shu, Zhongxing Liang, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
April 26, 2023
A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization
Ruichen Rong, Hudanyun Sheng, Kevin W Jin, et al.
Scientific Reports
|
November 17, 2017
5-Aminolevulinic Acid Guided Sampling of Glioblastoma Microenvironments Identifies Pro-Survival Signaling at Infiltrative Margins
James L Ross, Lee A D Cooper, Jun Kong, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
February 28, 2023
An Automated Pipeline for Differential Cell Counts on Whole-Slide Bone Marrow Aspirate Smears
Joshua E Lewis, Conrad W Shebelut, Bradley R Drumheller, et al.
IEEE Transactions on Bio-Medical Engineering
|
September 28, 2011
Integrative, multimodal analysis of glioblastoma using TCGA molecular data, pathology images, and clinical outcomes
Jun Kong, Lee A D Cooper, Fusheng Wang, et al.
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
|
October 21, 2014
Digital Pathology: Data-Intensive Frontier in Medical Imaging: Health-information sharing, specifically of digital pathology, is the subject of this paper which discusses how sharing the rich images in pathology can stretch the capabilities of all otherwise well-practiced disciplines
Lee A D Cooper, Alexis B Carter, Alton B Farris, et al.
Journal of the American Medical Informatics Association : JAMIA
|
January 27, 2012
Integrated morphologic analysis for the identification and characterization of disease subtypes
Lee A D Cooper, Jun Kong, David A Gutman, et al.
The Journal of Urology
|
January 22, 2025
An Artificial Intelligence-Digital Pathology Algorithm Predicts Survival After Radical Prostatectomy From the Prostate, Lung, Colorectal, and Ovarian Cancer Trial
Eric V Li, Yi Ren, Jacqueline Griffin, et al.
NPJ Breast Cancer
|
June 22, 2026
Effects of breast cancer risk factors on the tumor microenvironment: a morphological deep-learning analysis of three prospective cohorts
Clara Bodelon, Mohamed Amgad, James M Hodge, et al.
Page
of 19
Search research articles
Search
Showing results (161-170 of 189) with videos related to
Sort By:
Page
of 19
Molecular Pharmacology
|
January 15, 2017
AKT1, LKB1, and YAP1 Revealed as MYC Interactors with NanoLuc-Based Protein-Fragment Complementation Assay
Xiulei Mo, Qi Qi, Andrei A Ivanov, et al.
Neuro-Oncology
|
March 18, 2016
Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients
James S Cordova, Hui-Kuo G Shu, Zhongxing Liang, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
April 26, 2023
A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization
Ruichen Rong, Hudanyun Sheng, Kevin W Jin, et al.
Scientific Reports
|
November 17, 2017
5-Aminolevulinic Acid Guided Sampling of Glioblastoma Microenvironments Identifies Pro-Survival Signaling at Infiltrative Margins
James L Ross, Lee A D Cooper, Jun Kong, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
February 28, 2023
An Automated Pipeline for Differential Cell Counts on Whole-Slide Bone Marrow Aspirate Smears
Joshua E Lewis, Conrad W Shebelut, Bradley R Drumheller, et al.
IEEE Transactions on Bio-Medical Engineering
|
September 28, 2011
Integrative, multimodal analysis of glioblastoma using TCGA molecular data, pathology images, and clinical outcomes
Jun Kong, Lee A D Cooper, Fusheng Wang, et al.
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
|
October 21, 2014
Digital Pathology: Data-Intensive Frontier in Medical Imaging: Health-information sharing, specifically of digital pathology, is the subject of this paper which discusses how sharing the rich images in pathology can stretch the capabilities of all otherwise well-practiced disciplines
Lee A D Cooper, Alexis B Carter, Alton B Farris, et al.
Journal of the American Medical Informatics Association : JAMIA
|
January 27, 2012
Integrated morphologic analysis for the identification and characterization of disease subtypes
Lee A D Cooper, Jun Kong, David A Gutman, et al.
The Journal of Urology
|
January 22, 2025
An Artificial Intelligence-Digital Pathology Algorithm Predicts Survival After Radical Prostatectomy From the Prostate, Lung, Colorectal, and Ovarian Cancer Trial
Eric V Li, Yi Ren, Jacqueline Griffin, et al.
NPJ Breast Cancer
|
June 22, 2026
Effects of breast cancer risk factors on the tumor microenvironment: a morphological deep-learning analysis of three prospective cohorts
Clara Bodelon, Mohamed Amgad, James M Hodge, et al.
Page
of 19