Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Ansh Kapil

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Frontiers in Oncology|January 5, 2023
Spatial heterogeneity of cancer associated protein expression in immunohistochemically stained images as an improved prognostic biomarkerHenrik Failmezger, Harald Hessel, Ansh Kapil, et al.
Molecular Oncology|August 30, 2024
Shifting the paradigm in personalized cancer care through next-generation therapeutics and computational pathologyJorge S Reis-Filho, Maurizio Scaltriti, Ansh Kapil, et al.
Scientific Reports|November 28, 2018
Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle BiopsiesAnsh Kapil, Armin Meier, Aleksandra Zuraw, et al.
IEEE Transactions on Medical Imaging|May 18, 2021
Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue ImagesAnsh Kapil, Armin Meier, Keith Steele, et al.
Scientific Reports|May 27, 2024
HER2 quantitative continuous scoring for accurate patient selection in HER2 negative trastuzumab deruxtecan treated breast cancerAnsh Kapil, Andreas Spitzmüller, Nicolas Brieu, et al.
JCO Precision Oncology|May 28, 2026
Human Epidermal Growth Factor Receptor 2 Quantification Using Computational Pathology to Identify Novel Biomarkers for Trastuzumab Deruxtecan-Treated Human Epidermal Growth Factor Receptor 2-Positive Gastric CancerAnsh Kapil, Henrik Failmezger, Yu Fu, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Frontiers in Oncology|January 5, 2023
Spatial heterogeneity of cancer associated protein expression in immunohistochemically stained images as an improved prognostic biomarkerHenrik Failmezger, Harald Hessel, Ansh Kapil, et al.
Molecular Oncology|August 30, 2024
Shifting the paradigm in personalized cancer care through next-generation therapeutics and computational pathologyJorge S Reis-Filho, Maurizio Scaltriti, Ansh Kapil, et al.
Scientific Reports|November 28, 2018
Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle BiopsiesAnsh Kapil, Armin Meier, Aleksandra Zuraw, et al.
IEEE Transactions on Medical Imaging|May 18, 2021
Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue ImagesAnsh Kapil, Armin Meier, Keith Steele, et al.
Scientific Reports|May 27, 2024
HER2 quantitative continuous scoring for accurate patient selection in HER2 negative trastuzumab deruxtecan treated breast cancerAnsh Kapil, Andreas Spitzmüller, Nicolas Brieu, et al.
JCO Precision Oncology|May 28, 2026
Human Epidermal Growth Factor Receptor 2 Quantification Using Computational Pathology to Identify Novel Biomarkers for Trastuzumab Deruxtecan-Treated Human Epidermal Growth Factor Receptor 2-Positive Gastric CancerAnsh Kapil, Henrik Failmezger, Yu Fu, et al.
Pageof 1