Projects per year
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Collaborations and top research areas from the last five years
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IVIP: In Vivo Imaging Platform
Keunen, O. (PI), Kanli, G. (Participant) & Boudissa, S. (Participant)
1/01/15 → 31/12/25
Project: Research
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Pseudo PET: Pseudo PET imaging of brain tumor hypoxia
Keunen, O. (PI), Niclou, S. (CoPI), Perlo, D. (Participant), Boudissa, S. (Participant) & Kanli, G. (Participant)
1/10/22 → 30/09/24
Project: Research
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Optimization of image acquisition protocols in Magnetic Resonance Imaging (MRI) in oncology and neurology applications
Keunen, O. (PI), Kanli, G. (Participant) & Boudissa, S. (Participant)
1/10/15 → 31/12/22
Project: Consultancy
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Quantitative pre-clinical imaging of hypoxia and vascularity using MRI and PET
Kanli, G., Boudissa, S., Jirik, R., Adamsen, T., Espedal, H., Rolfsnes, H. O., Thorsen, F., Pacheco-Torres, J., Janji, B. & Keunen, O., 15 Jan 2025, Methods in Cell Biology. Academic Press Inc., Vol. 191. p. 289-328 (Methods in Cell Biology).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Addressing Artefacts in Anatomical MR Images: A k-space-Based Approach
Boudissa, S., Kanli, G., Perlo, D., Jaquet, T. & Keunen, O., May 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society, 5 p. (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Multi-parametric MRI to FMISO PET Synthesis for Hypoxia Prediction in Brain Tumors
Perlo, D., Kanli, G., Boudissa, S., Keunen, O., Mukhopadhyay, A. (Editor), Oksuz, I. (Editor), Engelhardt, S. (Editor), Mehrof, D. (Editor) & Yuan, Y. (Editor), 9 Oct 2024, p. 119-128. 10 p.Research output: Contribution to conference › Paper › peer-review
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Predicting Hypoxia in Brain Tumors from Multiparametric MRI
Perlo, D., Kanli, G., Boudissa, S. & Keunen, O., 25 Jan 2024, 7 p.Research output: Working paper › Preprint
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Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI
Kanli, G., Perlo, D., Boudissa, S., Jiřík, R. & Keunen, O., 23 Oct 2024, Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Xu, X., Cui, Z., Sun, K., Rekik, I. & Ouyang, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 228-237 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15241 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus)