A5052952215- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Prostate Cancer Diagnosis and Treatment
- Peptidase Inhibition and Analysis
- Photoacoustic and Ultrasonic Imaging
- Optical Coherence Tomography Applications
- Prostate Cancer Treatment and Research
- Photodynamic Therapy Research Studies
- Brain Tumor Detection and Classification
- Hematological disorders and diagnostics
- Advanced Neural Network Applications
- Multiple Myeloma Research and Treatments
- Protein Degradation and Inhibitors
Vrije Universiteit Brussel
2020-2025
IMEC
2023
Cliniques Universitaires Saint-Luc
2020-2023
UCLouvain
2020-2022
Fluorescence imaging has been widely used in fields like (pre)clinical and other domains. With advancements technology new fluorescent labels, fluorescence lifetime is gradually gaining recognition. Our research department developing the tauCAMTM, based on Current-Assisted Photonic Sampler, to achieve real-time NIR (700–900 nm) region. Incorporating into endoscopy could further improve differentiation of malignant benign cells their distinct lifetimes. In this work, capabilities an...
To compare the diagnostic accuracy of a single T2 Dixon sequence to combination T1+STIR as anatomical sequences used for detecting tumoral bone marrow lesions in whole-body MRI (WB-MRI) examinations.Between January 2019 and 2020, seventy-two consecutive patients (55 men, 17 women, median age = 66 years) with solid (prostate, breast, neuroendocrine) cancers at high risk metastasis or proven multiple myeloma (MM) prospectively underwent WB-MRI examination including coronal T1, STIR, axial...
Abstract Purpose Automated glioblastoma segmentation from magnetic resonance imaging is generally performed on a four-modality input, including T1, contrast T2 and FLAIR. We hypothesize that information redundancy present within these image combinations, which can possibly reduce model’s performance. Moreover, for clinical applications, the risk of encountering missing data rises as number required input modalities increases. Therefore, this study aimed to explore relevance influence...