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Jill C Rubinstein

Showing results (21-30 of 29) with videos related to

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Biorxiv : the Preprint Server for Biology|February 19, 2024
Spatiotemporal profiling defines persistence and resistance dynamics during targeted treatment of melanomaJill C Rubinstein, Sergii Domanskyi, Todd B Sheridan, et al.
Journal for Immunotherapy of Cancer|March 27, 2020
Survival after checkpoint inhibitors for metastatic acral, mucosal and uveal melanomaNicholas D Klemen, Melinda Wang, Jill C Rubinstein, et al.
Biorxiv : the Preprint Server for Biology|May 7, 2026
DIANNE: Segmentation-Free Localization of Histology Differential AttributesSergii Domanskyi, Jill C Rubinstein, Todd B Sheridan, et al.
BMC Cancer|August 20, 2016
Shifting patterns of genomic variation in the somatic evolution of papillary thyroid carcinomaJill C Rubinstein, Taylor C Brown, Emily R Christison-Lagay, et al.
Medrxiv : the Preprint Server for Health Sciences|June 30, 2025
Multicenter Histology Image Integration and Multiscale Deep Learning for Machine Learning-Enabled Pediatric Sarcoma ClassificationAdam Thiesen, Sergii Domanskyi, Ali Foroughi Pour, et al.
Cancer Research|January 2, 2026
Multicenter Histology Image Integration and Multiscale Deep Learning Support Machine Learning-Enabled Pediatric Sarcoma ClassificationAdam H Thiesen, Sergii Domanskyi, Ali Foroughi Pour, et al.
Human Molecular Genetics|January 11, 2015
Characterization of the mutational landscape of anaplastic thyroid cancer via whole-exome sequencingJohn W Kunstman, C Christofer Juhlin, Gerald Goh, et al.
Genes, Chromosomes & Cancer|June 3, 2015
Whole-exome sequencing defines the mutational landscape of pheochromocytoma and identifies KMT2D as a recurrently mutated geneC Christofer Juhlin, Adam Stenman, Felix Haglund, et al.
Cancer Research|July 31, 2024
A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning AnalysisBrian S White, Xing Yi Woo, Soner Koc, et al.
Pageof 3

Showing results (21-30 of 29) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 29 results.
Biorxiv : the Preprint Server for Biology|February 19, 2024
Spatiotemporal profiling defines persistence and resistance dynamics during targeted treatment of melanomaJill C Rubinstein, Sergii Domanskyi, Todd B Sheridan, et al.
Journal for Immunotherapy of Cancer|March 27, 2020
Survival after checkpoint inhibitors for metastatic acral, mucosal and uveal melanomaNicholas D Klemen, Melinda Wang, Jill C Rubinstein, et al.
Biorxiv : the Preprint Server for Biology|May 7, 2026
DIANNE: Segmentation-Free Localization of Histology Differential AttributesSergii Domanskyi, Jill C Rubinstein, Todd B Sheridan, et al.
BMC Cancer|August 20, 2016
Shifting patterns of genomic variation in the somatic evolution of papillary thyroid carcinomaJill C Rubinstein, Taylor C Brown, Emily R Christison-Lagay, et al.
Medrxiv : the Preprint Server for Health Sciences|June 30, 2025
Multicenter Histology Image Integration and Multiscale Deep Learning for Machine Learning-Enabled Pediatric Sarcoma ClassificationAdam Thiesen, Sergii Domanskyi, Ali Foroughi Pour, et al.
Cancer Research|January 2, 2026
Multicenter Histology Image Integration and Multiscale Deep Learning Support Machine Learning-Enabled Pediatric Sarcoma ClassificationAdam H Thiesen, Sergii Domanskyi, Ali Foroughi Pour, et al.
Human Molecular Genetics|January 11, 2015
Characterization of the mutational landscape of anaplastic thyroid cancer via whole-exome sequencingJohn W Kunstman, C Christofer Juhlin, Gerald Goh, et al.
Genes, Chromosomes & Cancer|June 3, 2015
Whole-exome sequencing defines the mutational landscape of pheochromocytoma and identifies KMT2D as a recurrently mutated geneC Christofer Juhlin, Adam Stenman, Felix Haglund, et al.
Cancer Research|July 31, 2024
A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning AnalysisBrian S White, Xing Yi Woo, Soner Koc, et al.
Pageof 3