Viktor Koelzer

University of Zurich

Switzerland

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Articles (14)

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2024

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2024

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2024

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (7)

Sabina Berezowska

Associate Professor, Médecin cheffe

SWITZERLAND

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Enric Domingo

University of Oxford

UNITED KINGDOM

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Michael Prummer

Head of Biostatistics

ETH Zürich

SWITZERLAND

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Alfred Zippelius

SWITZERLAND

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Kirsten Mertz

Head of Institute

University Hospital Basel

SWITZERLAND

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Berend Snijder

Assistant Professor

ETH Zürich

SWITZERLAND

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Leslie Samuel

University of Aberdeen

UNITED KINGDOM

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Viktor Koelzer

Research Interests

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Articles (14)

Distinct [18F]FDG-PET imaging features of a newly recognized and yet uncharacterized RDD-ECD overlap disease entity

SST-editing: in silico spatial transcriptomic editing at single-cell resolution

Evaluation of deep learning training strategies for the classification of bone marrow cell images

Digital image analysis and artificial intelligence in pathology diagnostics—the Swiss view

PD-1T TILs as a Predictive Biomarker for Clinical Benefit to PD-1 Blockade in Patients with Advanced NSCLC

Update on the current opinion, status and future development of digital pathology in Switzerland in light of COVID-19

The Tumor Profiler Study: integrated, multi-omic, functional tumor profiling for clinical decision support.

Correction: Establishing standardized immune phenotyping of metastatic melanoma by digital pathology

Establishing standardized immune phenotyping of metastatic melanoma by digital pathology

Stromal composition predicts recurrence of early rectal cancer after local excision

Towards computationally efficient prediction of molecular signatures from routine histology images

Prognostic image-based quantification of CD8CD103 T cell subsets in high-grade serous ovarian cancer patients

Integrated functional and spatial profiling of tumor immune responses induced by immunotherapy: the iPROFILER platform

Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning

Collaborators (7)

Sabina Berezowska

Enric Domingo

Michael Prummer

Alfred Zippelius

Kirsten Mertz

Berend Snijder

Leslie Samuel

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