Projects per year
Organisation profile
Organisation profile
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.
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Collaborations and top research areas from the last five years
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Profiles
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PREDIPET-AD: Predictive PET imaging of Alzheimer’s Disease
Keunen, O. (PI), Perquin, M. (Partner), McIntyre, D. (Partner), Luo, G. (Partner) & Deng, Y. (Partner)
FNR - Fonds National de la Recherche
1/09/25 → 31/05/28
Project: Research
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FM2MRI: Foundation Multi-modal Model for Modality Synthesis & Segmentation of Magnetic Resonance Images
Ghamizi, S. (PI), Keunen, O. (Scientific Advisor/Mentor) & Luo, G. (Partner)
FNR - Fonds National de la Recherche
5/01/25 → 5/10/27
Project: Research
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RADIO-D2R2: Radiomics for the differential diagnosis of radio-necrosis vs. progression after stereotactic radiotherapy of oligometastasis
Keunen, O. (PI), Vogin, G. (CoPI), Nazarov, P. (Partner), Zhang, L. (Participant) & Palissot, V. (Participant)
1/10/24 → 30/09/26
Project: Research
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Directed-Complement Activation as a Novel Immunotherapeutic Approach for HER2-Breast Cancer
Seguin-Devaux, C., Brandus, B., Plesseria, J. M., Iserentant, G., Servais, J. Y., Pitiot, A., Kanli, G., Behrmann, I., Schober, R., Zimmer, J., Cohen, J. H. M. & Dervillez, X., 5 Sept 2025, In: ImmunoTargets and Therapy. 14, p. 979-995 17 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Interpretable Machine Learning for Cross-Cohort Prediction of Motor Fluctuations in Parkinson's Disease
Krüger, R., Acharya, G., Aguayo, G., Alexandre, M., Batutu, R., Beaumont, K., Béchet, S., Berchem, G., Boussaad, I., Contesotto, G., Ferrari, A., Fritz, J., Gamio, C., Gantenbein, M., Georges, L., Giraitis, M., Graas, J., Hanff, A. M., Henry, E. & Henry, M. & 40 others, , Aug 2025, In: Movement Disorders. 40, 8, p. 1604-1617 14 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus) -
Penetrance of Parkinson’s disease in GBA1 carriers depends on variant severity and polygenic background
Landoulsi, Z., Zelimkhanov, G., Vega, C., Vaillant, M., Tsurkalenko, O., Trouet, J., Thien, H., Theresine, M., Sokolowska, K., Sharify, A., Sapienza, S., Roland, O., Richard, I., Remark, L., Rauschenberger, A., Pexaras, A., Perquin, M., Pavelka, L., Pauly, L. & Pauly, C. & 41 others, , 12 Jun 2025, In: npj Parkinson's Disease. 11, 1, 8 p., 162.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus)