Julien Oster

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Articles (26)

Collaborators (7)

Freddy Odille

Université de Lorraine

Laura Rozenblum

Thomas Quirin

University of Applied Sciences and Arts Northwestern Switzerland

Pierre-André Vuissoz

Université de Lorraine

jacques Felblinger

Université de Lorraine

serge bracard

Université de Lorraine

francis guillemin

Université de Lorraine

Julien Oster

Research Interests

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Contact this professor

Articles (26)

Monitoring the head exposure of MRI workers around 3 T, 7 T, and 11.7 T scanners using smart goggles equipped with a network of magnetometers

Enhanced CT and MRI Focal Bone Tumor Classification with Machine Learning-based Stratification: A Multicenter Retrospective Study.

SHDB-AF: a Japanese Holter ECG database of atrial fibrillation.

Clinical impact of an explainable machine learning with amino acid PET imaging: application to the diagnosis of aggressive glioma.

Application of PET imaging delta radiomics for predicting progression-free survival in rare high-grade glioma

A Human-Centered AI Framework for Efficient Labelling of ECGs From Drug Safety Trials

A Generalisable Heartbeat Classifier Leveraging Self-Supervised Learning for ECG Analysis During Magnetic Resonance Imaging.

AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning.

An artificial intelligence-enabled Holter algorithm to identify patients with ventricular tachycardia by analysing their electrocardiogram during sinus rhythm.

A Deep Learning Architecture Using 3D Vectorcardiogram to Detect R-Peaks in ECG with Enhanced Precision.

Artificial intelligence and fetal ultrasound biometry: Challenges and perspectives.

A Human-Centered AI Framework for Efficient Labelling of ECGs from Drug Safety Trials.

A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging.

Initial Evaluation of Focal Bone Lesions: How Do We Do It?

Initial Evaluation of Focal Bone Lesions: How Do We Do It?

Body Surface Gastrointestinal Potential Mapping: A Simulation Framework to Evaluate Source Separation Algorithms.

Deep learning HASTE sequence compared with T2-weighted BLADE sequence for liver MRI at 3 Tesla: a qualitative and quantitative prospective study.

Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes.

AI-Assisted QT Measurements for Highly Automated Drug Safety Studies.

Implementing the Point Spread Function Deconvolution for Better Molecular Characterization of Newly Diagnosed Gliomas: A Dynamic <sup>18</sup>F-FDOPA PET Radiomics Study.

A comparative study of the performance of methods for f-wave extraction.

A hardware and software system for MRI applications requiring external device data

Predict alone, decide together: cardiac abnormality detection based on single lead classifier voting.

Relevance of Dynamic 18F-DOPA PET Radiomics for Differentiation of High-Grade Glioma Progression from Treatment-Related Changes

Impact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy.

An Interpretable Hand-Crafted Feature-Based Model for Atrial Fibrillation Detection

Collaborators (7)

Freddy Odille

Laura Rozenblum

Thomas Quirin

Pierre-André Vuissoz

jacques Felblinger

serge bracard

francis guillemin

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