Verena Obmann

Head of Department

Luzerner Kantonsspital

Switzerland

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About

Verena Obmann is the Head of Department at Zuger Kantonsspital, Switzerland. Her research focuses on advanced imaging techniques and their applications in various medical conditions, including liver fibrosis, Crohn's disease, and prostate cancer. Recent publications involve studies on MRI, deep learning for image analysis, and the assessment of biomarkers for cartilage degeneration. Her work aims to enhance diagnostic accuracy and therapeutic strategies through innovative imaging methodologies.

Articles (10)

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (6)

Adrian Thomas Huber

Inselspital Universitätsspital Bern

SWITZERLAND

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Leonardo Kayat Bittencourt

Associate Professor, Vice-Chair of Innovation

Case Western Reserve University School of Medicine

UNITED STATES

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Karol Szyluk

Medical University of Silesia

POLAND

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Damiano Catucci

Inselspital Universitätsspital Bern

SWITZERLAND

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Junichi Tokuda

Associate Professor of Radiology

Brigham and Women's Hospital and Harvard Medical School

UNITED STATES

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Michael P. Brönnimann

University Hospital of Bern

SWITZERLAND

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Verena Obmann

Research Interests

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Articles (10)

MRI Extracellular Volume Fraction in Liver Fibrosis-A Comparison of Different Time Points and Blood Pool Measurements.

MSCs mediate long-term efficacy in a Crohn's disease model by sustained anti-inflammatory macrophage programming via efferocytosis.

Correction to: Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario

Literature review: Imaging in prostate cancer

Automated liver segmental volume ratio quantification on non-contrast T1-Vibe Dixon liver MRI using deep learning

Author Correction: Computer-aided diagnosis through medical image retrieval in radiology.

Multicenter Repeatability and Reproducibility of MR Fingerprinting in Phantoms and in Prostatic Tissue

Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images

Convolutional neural network for automated segmentation of the liver and its vessels on non-contrast T1 vibe Dixon acquisitions

Computer-aided diagnosis through medical image retrieval in radiology.

Collaborators (6)

Adrian Thomas Huber

Leonardo Kayat Bittencourt

Karol Szyluk

Damiano Catucci

Junichi Tokuda

Michael P. Brönnimann

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