Translationale Radiomik
Die Gruppe Translational Radiomics (Translationale Radiomik) entwickelt innovative Methoden für die Analyse biomedizinischer Bilder.
Tätigkeiten
Ein besonderer Schwerpunkt liegt darauf, wie die Fülle der in präklinischen Systemen verfügbaren Daten zum Trainieren von Deep-Learning-Modellen und zur Feinabstimmung dieser Modelle für klinische Anwendungen mithilfe von Transfer-Learning-Ansätzen genutzt werden kann.
Olivier
Keunen
Keunen
Projekte und klinische Versuche
Forschungsprojekte
Einige Forschungsprojekte der Gruppe:
- Systematische Verbesserung der Qualität medizinischer Bilder mit AutoEncoders
- Tiefe molekulare Bildgebung mit Multiparameter-MRT
- Automatische Erkennung von Anfällen in Videos epileptischer Ratten
- Segmentierung von Hirntumoren mit Federated Learning
Abbildungen:
Ausgewählte Teammitglieder
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Olivier
Keunen Group Leader -
Daniele
Perlo Postdoctoral Fellow
Wissenschaftliche Veröffentlichungen
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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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Molecular Identity Changes of Tumor-Associated Macrophages and Microglia after MRgFUS induced BBB Opening in a Mouse Glioblastoma Model – 15/03/2022
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Relationship between Metabolically Unhealthy Obesity and Visceral Adipose Tissue in Youth – 01/12/2021
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Current landscape and future perspectives in preclinical MR and PET imaging of brain metastasis – 14/10/2021
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Inhibition of GBM invasion by the A-Amino-3-Hydroxy-5-Methyl-4-Isoxazolepropionic acid (AMPA) Glutamate receptor antagonist Perampanel – 09/09/2021
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Non-invasive, neurotoxic surgery reduces seizures in a rat model of temporal lobe epilepsy – 01/09/2021
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Protocol for derivation of organoids and patient-derived orthotopic xenografts from glioma patient tumors – 18/06/2021
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Patient-derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology – 01/12/2020
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Spatially regularized estimation of the tissue homogeneity model parameters in DCE-MRI using proximal minimization – 01/12/2019
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Improved drug delivery to brain metastases by peptide-mediated permeabilization of the blood–brain barrier – 01/11/2019
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THER-11. Peptide mediated permeabilization of the blood-brain-barrier improves drug delivery to brain metastasis – 01/08/2019
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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
-
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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Molecular Identity Changes of Tumor-Associated Macrophages and Microglia after MRgFUS induced BBB Opening in a Mouse Glioblastoma Model – 15/03/2022
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Relationship between Metabolically Unhealthy Obesity and Visceral Adipose Tissue in Youth – 01/12/2021
