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Sayedali Shetab Boushehri

Showing results (1-10 of 8) with videos related to

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BMC Bioinformatics|March 3, 2021
InstantDL: an easy-to-use deep learning pipeline for image segmentation and classificationDominik Jens Elias Waibel, Sayedali Shetab Boushehri, Carsten Marr
Cell Reports Methods|August 3, 2023
Label-free imaging of 3D pluripotent stem cell differentiation dynamics on chipScott Atwell, Dominik Jens Elias Waibel, Sayedali Shetab Boushehri, et al.
Scientific Data|November 11, 2025
A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnosticsSayedali Shetab Boushehri, Salome Kazeminia, Armin Gruber, et al.
Cell Reports Methods|February 27, 2024
PXPermute reveals staining importance in multichannel imaging flow cytometrySayedali Shetab Boushehri, Aleksandra Kornivetc, Domink J E Winter, et al.
STAR Protocols|March 6, 2025
Protocol for SUM-PAINT spatial proteomic imaging generating neuronal architecture maps in rat hippocampal neuronsEduard M Unterauer, Eva-Maria Schentarra, Kristina Jevdokimenko, et al.
Nature Communications|November 30, 2023
Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodiesSayedali Shetab Boushehri, Katharina Essig, Nikolaos-Kosmas Chlis, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|October 12, 2023
Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational PathologySophia J Wagner, Christian Matek, Sayedali Shetab Boushehri, et al.
Cell|March 29, 2024
Spatial proteomics in neurons at single-protein resolutionEduard M Unterauer, Sayedali Shetab Boushehri, Kristina Jevdokimenko, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|March 3, 2021
InstantDL: an easy-to-use deep learning pipeline for image segmentation and classificationDominik Jens Elias Waibel, Sayedali Shetab Boushehri, Carsten Marr
Cell Reports Methods|August 3, 2023
Label-free imaging of 3D pluripotent stem cell differentiation dynamics on chipScott Atwell, Dominik Jens Elias Waibel, Sayedali Shetab Boushehri, et al.
Scientific Data|November 11, 2025
A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnosticsSayedali Shetab Boushehri, Salome Kazeminia, Armin Gruber, et al.
Cell Reports Methods|February 27, 2024
PXPermute reveals staining importance in multichannel imaging flow cytometrySayedali Shetab Boushehri, Aleksandra Kornivetc, Domink J E Winter, et al.
STAR Protocols|March 6, 2025
Protocol for SUM-PAINT spatial proteomic imaging generating neuronal architecture maps in rat hippocampal neuronsEduard M Unterauer, Eva-Maria Schentarra, Kristina Jevdokimenko, et al.
Nature Communications|November 30, 2023
Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodiesSayedali Shetab Boushehri, Katharina Essig, Nikolaos-Kosmas Chlis, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|October 12, 2023
Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational PathologySophia J Wagner, Christian Matek, Sayedali Shetab Boushehri, et al.
Cell|March 29, 2024
Spatial proteomics in neurons at single-protein resolutionEduard M Unterauer, Sayedali Shetab Boushehri, Kristina Jevdokimenko, et al.
Pageof 1