Sayedali Shetab Boushehri

Roche (Switzerland) — Switzerland

Biochemistry, Genetics and Molecular Biology · Life Sciences

9h-index281citations29works15.82yr avg
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Research Topics

Cell Image Analysis Techniques(19), Advanced Fluorescence Microscopy Techniques(6), AI in cancer detection(6), Single-cell and spatial transcriptomics(6), COVID-19 diagnosis using AI(6)

Publications29 total

A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnostics
Scientific Data·2025Open Access
Image Analysis: Understanding and Mitigating Batch Effects in Histopathology
Trillium Pathology·2025· 1 cited
Protocol for SUM-PAINT spatial proteomic imaging generating neuronal architecture maps in rat hippocampal neurons
STAR Protocols·2025· 1 citedOpen Access
A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnostics
2025· 2 citedOpen Access
A Data-Driven Solution for The Cold Start Problem in Biomedical Image Classification
2024
DomainLab: A modular Python package for domain generalization in deep learning
arXiv (Cornell University)·2024Open Access
Spatial proteomics in neurons at single-protein resolution
Cell·2024· 121 citedOpen Access
PXPermute reveals staining importance in multichannel imaging flow cytometry
Cell Reports Methods·2024· 1 citedOpen Access
Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies
Nature Communications·2023· 19 citedOpen Access
A Continual Learning Approach for Cross-Domain White Blood Cell Classification
Lecture notes in computer science·2023· 11 cited
Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational Pathology
Modern Pathology·2023· 18 citedOpen Access
A Continual Learning Approach for Cross-Domain White Blood Cell Classification
arXiv (Cornell University)·2023Open Access
Label-free imaging of 3D pluripotent stem cell differentiation dynamics on chip
Cell Reports Methods·2023· 13 citedOpen Access
PXPermute: Unveiling staining importance in multichannel fluorescence microscopy
2023Open Access
Spatial proteomics in neurons at single-protein resolution
2023· 18 citedOpen Access
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology
arXiv (Cornell University)·2023· 4 citedOpen Access
PXPermute: Unveiling Staining Importance in Multichannel Fluorescence Microscopy
SSRN Electronic Journal·2023Open Access
scifAI: Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies
Research Square (Research Square)·2022Open Access
scifAI: Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies
2022· 2 citedOpen Access
Label-free imaging of 3D pluripotent stem cell differentiation dynamics on chip
2022· 2 citedOpen Access
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Frequent Co-authors

Carsten Marr(29), Dominik Waibel(13), Fabian Schmich(9), Armin Gruber(6), Salome Kazeminia(6), Christian Matek(5), Ario Sadafi(5), Sophia J. Wagner(4), Tingying Peng(4), Katharina Essig(4), Scott Atwell(4), Matthias Meier(4), Eduard M. Unterauer(3), Kristina Jevdokimenko(3), Felipe Opazo(3), Eugenio F. Fornasiero(3), Ralf Jungmann(3), Melanie Boxberg(3), Lorenz Lamm(3), Sylvia Herter(3)