Jill C Rubinstein

10PUBLICATIONS
76CO-AUTHORS
Deep learningMedical biotechnology diagnostics (incl. biosensors)Predictive and prognostic markersHaematological tumoursImage processing
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Publications (10)

|May 07, 2026
DIANNE: Segmentation-Free Localization of Histology Differential Attributes.

|Jan 02, 2026
Multicenter Histology Image Integration and Multiscale Deep Learning Support Machine Learning-Enabled Pediatric Sarcoma Classification.

Adam H Thiesen, Sergii Domanskyi, Ali Foroughi Pour

|Jun 30, 2025
Multicenter Histology Image Integration and Multiscale Deep Learning for Machine Learning-Enabled Pediatric Sarcoma Classification.

Adam Thiesen, Sergii Domanskyi, Ali Foroughi Pour

|Dec 19, 2024
Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma.

Jill C Rubinstein, Sergii Domanskyi, Todd B Sheridan

|Jul 31, 2024
A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis.

Brian S White, Xing Yi Woo, Soner Koc

|Feb 19, 2024
Spatiotemporal profiling defines persistence and resistance dynamics during targeted treatment of melanoma.

Jill C Rubinstein, Sergii Domanskyi, Todd B Sheridan

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Frequent Collaborators

7 joint publications

Sergii Domanskyi

7 joint publications

Jeffrey H Chuang

5 joint publications

Todd Sheridan

3 joint publications

Meenhard Herlyn