Christian Meisel

Germany

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Articles (20)

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2025

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2021

Collaborators (11)

Helena Stengl

Charité - Universitätsmedizin Berlin

GERMANY

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Simon Hellwig

Charité - Universitätsmedizin Berlin

GERMANY

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Ricarda Sophia Schulz

Charité - Universitätsmedizin Berlin

GERMANY

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Robert Thomas

Harvard University

UNITED STATES

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Lukas Kunz

Assistant Professor

University of Bonn

GERMANY

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Christoph Leithner

Charité - Universitätsmedizin Berlin

GERMANY

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Tobias Loddenkemper

Harvard University

UNITED STATES

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Christian H. Nolte

GERMANY

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Mahtab Mirmomeni

University of Melbourne

AUSTRALIA

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Jan Scheitz

Charite Universitatsmedizin Berlin Klinik für Neurologie mit Experimenteller Neurologie

GERMANY

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Edilberto Amorim

University of California, San Francisco

UNITED STATES

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Christian Meisel

Research Interests

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Articles (20)

Toward a Universal Map of EEG: A Semantic, Low‐Dimensional Manifold for EEG Classification, Clustering, and Prognostication

Training size predictably improves machine learning-based epileptic seizure forecasting from wearables

Study protocol for the health economic evaluation of outpatient long-term video EEGs for people with seizure disorders alongside the ALVEEG study – a randomized controlled equivalence trial

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

Implementation of a digital health tool for seizure video transfer in a pediatric epilepsy center: A prospective pilot study

Non‐discontinuation of antiseizure medication in seizure‐free patients with epilepsy: Reasons and predictors among neurologists and patients

Detection of epileptic spasms using foundational AI and smartphone videos

Critical dynamics predicts cognitive performance and provides a common framework for heterogeneous mechanisms impacting cognition

Stellungnahme „Künstliche Intelligenz in der Medizin“

Association Between Stroke Lesion Size and Atrial Fibrillation Detected After Stroke: An Observational Cohort Study

Datawarehouse-enabled quality control of atrial fibrillation detection in the stroke unit setting

Explainable AI for wearable seizure logging: impact of data quality, patient age, and antiseizure medication on performance

Spatial and temporal correlations in human cortex are inherently linked and predicted by functional hierarchy, vigilance state as well as antiepileptic drug load

Data lake-driven analytics identify nocturnal non-dipping of heart rate as predictor of unfavorable stroke outcome at discharge.

Ambulantes Langzeit-Video-EEG als neuer diagnostischer Ansatz in Deutschland: Ergebnisse einer Machbarkeitsstudie

Wearable device assessments of antiseizure medication effects on diurnal patterns of electrodermal activity, heart rate, and heart rate variability

Seizure detection using wearable sensors and machine learning: Setting a benchmark

Evaluation and recommendations for effective data visualization for seizure forecasting algorithms.

Low-frequency electrical stimulation reduces cortical excitability in the human brain

Video-based Detection of Generalized Tonic-clonic Seizures Using Deep Learning

Collaborators (11)

Helena Stengl

Simon Hellwig

Ricarda Sophia Schulz

Robert Thomas

Lukas Kunz

Christoph Leithner

Tobias Loddenkemper

Christian H. Nolte

Mahtab Mirmomeni

Jan Scheitz

Edilberto Amorim

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