Brain Imaging & Neuro Epidemiology
The BraINE group studies brain health by exploring the factors that increase or decrease the risk of brain diseases. They also develop methods to predict and detect these diseases at an early stage.
ACTIVITIES
Research focuses on both healthy individuals and patients, as well as animal models to better understand different diseases. The team primarily uses advanced brain imaging technologies (fMRI, MRI, PET), but they also study how memory and cognitive abilities are influenced by various factors, beyond just the brain’s structure.
With a strong focus on improving patient care, the BraINE group develops advanced methods for analysing medical images, using radiomics (which extracts detailed information from images) and deep learning (artificial intelligence techniques that help detect complex patterns in the images).
Current projects focus on brain diseases that worsen over time, such as brain tumours, Alzheimer’s and Parkinson’s, as well as the long-term effects of COVID-19 on the brain.
The team is affiliated with both the Department of Cancer Research and the Department of Precision Health at the LIH.
Partners & Funding
Projects & clinical trials
Featured team members
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Yu
Deng Postdoctoral Fellow -
Salah
Ghamizi Postdoctoral Fellow -
Georgia
Kanli Research Engineer -
Olivier
Keunen Group Leader -
Elena
Lacomba Arnau Postdoctoral Fellow -
Valérie
Palissot Scientist -
Daniele
Perlo Postdoctoral Fellow -
Magali
Perquin Scientist
Scientific publications
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Development of a highly differentiated rat brain organoid model for exploring glioblastoma invasion dynamics and therapy – 24/11/2025
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RodEpil: Laboratory Rodents Dataset for Epileptic Seizure Detection – 13/11/2025
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RodEpil: A Video Dataset of Laboratory Rodents for Seizure Detection and Benchmark Evaluation – 01/11/2025
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The Data Behind the Model – 12/10/2025
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Directed-Complement Activation as a Novel Immunotherapeutic Approach for HER2-Breast Cancer – 05/09/2025
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Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge – 08/07/2025
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Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research – 17/06/2025
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Quantitative pre-clinical imaging of hypoxia and vascularity using MRI and PET – 01/01/2024
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Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI – 23/10/2024
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Multi-parametric MRI to FMISO PET Synthesis for Hypoxia Prediction in Brain Tumors – 09/10/2024
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