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translational radiomics
The Translational Radiomics group develops innovative methods for biomedical image analysis.
Activities
A specific focus is on leveraging the richness of data available in preclinical systems to train Deep Learning models and fine tune these models for clinical applications using Transfer Learning approaches.
![](https://www.lih.lu/wp-content/uploads/2021/12/Olivier-Keunen.png)
Olivier
Keunen
Keunen
Projects & clinical trials
Research projects
Some of the group’s research projects include:
- Systematic improvement of medical images quality using AutoEncoders
- Deep molecular imaging using multi-parametric MRI
- Automatic detection of seizures in videos of epileptic rats
- Brain tumors segmentation using Federated Learning
Illustations:
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Featured team members
Scientific publications
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Early-life influenza A (H1N1) infection independently programs brain connectivity, HPA AXIS and tissue-specific gene expression profiles – 11/03/2024
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Corrigendum to ‘Molecular Identity Changes of Tumor-Associated Macrophages and Microglia After Magnetic Resonance Imaging–Guided Focused Ultrasound–Induced Blood–Brain Barrier Opening in a Mouse Glioblastoma Model’ [Ultrasound in Med & Biol. 49 (2023) 1082-1090, (S0301562922006664), (10.1016/j.ultrasmedbio.2022.12.006)] – 01/01/2024
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Immune cell identity behind the Ktrans mapping of mouse glioblastoma – 21/06/2023
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Large-Scale Deep Learning Medical Image Methodology and Applications using Multiple GPUs – 12/10/2023
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Molecular Identity Changes of Tumor-Associated Macrophages and Microglia After Magnetic Resonance Imaging–Guided Focused Ultrasound–Induced Blood–Brain Barrier Opening in a Mouse Glioblastoma Model – 01/01/2023
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Author Correction – 26/01/2023
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Federated learning enables big data for rare cancer boundary detection – 05/12/2022
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Deciphering Human Glioblastoma Invasion Using a Developmental Mature Rat Brain Organoid Model – 15/11/2022
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The BET Protein Inhibitor JQ1 Decreases Hypoxia and Improves the Therapeutic Benefit of Anti-PD-1 in a High-Risk Neuroblastoma Mouse Model – 06/09/2022
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Federated Learning Enables Big Data for Rare Cancer Boundary Detection – 22/04/2022
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