Christoph Leithner

Charité - Universitätsmedizin Berlin

Germany

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Articles (10)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

Collaborators (13)

Sebastian Major

Charité - Universitätsmedizin Berlin

GERMANY

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Alistair Nichol

Professor

MONASH UNIVERSITY

AUSTRALIA

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Anders Grejs

Aarhus University

DENMARK

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Matthias Haenggi

University Hospital of Zurich

SWITZERLAND

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pamela agazzi

Università della Svizzera Italiana (USI)

SWITZERLAND

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Birger Johnsen

VIP, Clinical Associate Professor

Aarhus University

DENMARK

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GIULIA MUSSO

University of Padua

ITALY

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Christina Whitehead

University of Sydney

AUSTRALIA

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Erik Blennow Nordström

Lund University

SWEDEN

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Bala Venkatesh

Academic Professor of Intensive Care

Gold Coast University Hospital

AUSTRALIA

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NAWFEL BEN-HAMOUDA

Senior lecturer

University of Lausanne

SWITZERLAND

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Christian Meisel

GERMANY

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Janus Christian Jakobsen

DENMARK

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Christoph Leithner

Research Interests

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Articles (10)

Psychometric evaluation of EQ-5D-5L in OHCA survivors from the TTM2 trial

Artificial intelligence for prediction of atrial fibrillation in the stroke unit: a retrospective derivation validation cohort study

Clinical use and reporting of neurofilament quantification in neurological disorders: A global overview.

Machine Learning Models for the Early Real-Time Prediction of Deterioration in Intensive Care Units-A Novel Approach to the Early Identification of High-Risk Patients.

Radiological signs of hypoxic-ischaemic encephalopathy on head computed tomography for prediction of poor functional outcome after cardiac arrest - a prospective observational cohort study.

The semi-quantitative cardiac arrest brain ischemia (CABI) score for magnetic resonance imaging predicts functional outcome after cardiac arrest.

The predictive value of highly malignant EEG patterns after cardiac arrest: evaluation of the ERC-ESICM recommendations.

Survival, but not the severity of hypoxic–ischemic encephalopathy, is associated with higher mean arterial blood pressure after cardiac arrest: a retrospective cohort study

Deep learning-enabled detection of hypoxic-ischemic encephalopathy after cardiac arrest in CT scans: a comparative study of 2D and 3D approaches.

EEG for good outcome prediction after cardiac arrest: A multicentre cohort study.

Collaborators (13)

Sebastian Major

Alistair Nichol

Anders Grejs

Matthias Haenggi

pamela agazzi

Birger Johnsen

GIULIA MUSSO

Christina Whitehead

Erik Blennow Nordström

Bala Venkatesh

NAWFEL BEN-HAMOUDA

Christian Meisel

Janus Christian Jakobsen

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