Sergii Domanskyi

Jackson Laboratory — United States

Computer Science · Physical Sciences

12h-index530citations202works0.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

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Research Topics

AI in cancer detection(80), Radiomics and Machine Learning in Medical Imaging(78), Cancer Research and Treatments(42), RNA modifications and cancer(39), Epigenetics and DNA Methylation(38)

Publications201 total

SenNet Portal: Build, Optimization and Usage
2026Open Access
Multicenter Histology Image Integration and Multiscale Deep Learning Support Machine Learning-Enabled Pediatric Sarcoma Classification
Cancer Research·2026Open Access
Multicenter Histology Image Integration and Multiscale Deep Learning for Machine Learning-Enabled Pediatric Sarcoma Classification
2025Open Access
Abstract 2423: Automated classification of pediatric sarcoma using digital histopathology
Cancer Research·2025
A human and mouse subpopulation of senescent β-cells induces pathologic dysfunction through targetable paracrine signaling
2025Open Access
Abstract 756: Unveiling the spatial landscape of tumor and stroma heterogeneity in colorectal cancer with spatial transcriptomics and deep learning
Cancer Research·2025
Data from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Table 2 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Table 6 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Table 1 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Table 5 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Table 4 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Table 7 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Figure 3 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Figure 1 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Table 8 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Figure 9 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Table 10 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Figure 6 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
Supplementary Figure 7 from Spatiotemporal Profiling Defines Persistence and Resistance Dynamics during Targeted Treatment of Melanoma
2025Open Access
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Frequent Co-authors

Brian J. Sanderson(19), Carol J. Bult(16), Carlo Piermarocchi(15), Xing Yi Woo(15), Michael W. Lloyd(15), Steven B. Neuhauser(15), Meenhard Herlyn(14), Jill C. Rubinstein(14), Jeffrey H. Chuang(14), Vladimir Privman(13), Todd Sheridan(12), Brian S. White(10), Anuj Srivastava(10), Emily L. Jocoy(8), Soner Koc(8), Shidan Wang(8), Yvonne A. Evrard(8), Li Chen(8), Ali Foroughi pour(8), John D. Landua(8)