ABBAD ANDALOUSSI Meryem

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

: 0009-0003-9274-2086

Main Referenced Co-authors

HUSCH, Andreas (3)

LAMOLINE, François (2)

MASER, Raphael (2)

URCUN, Stephane (2)

BORDAS, Stéphane (1)

Main Referenced Keywords

computer-aided diagnosis (1); Low Grade Astrocytoma (1); Low Grade Glioma (1); Malignant transformation (1); medical image analysis (1);

Main Referenced Disciplines

Engineering, computing & technology: Multidisciplinary, general & others (3)

Computer science (1)

Mechanical engineering (1)

Publications (total 5)

Search in publications

The most downloaded

23 downloads

ABBAD ANDALOUSSI, M., MASER, R., HERTEL, F., LAMOLINE, F., & HUSCH, A. (2025). Exploring adult glioma through MRI: A review of publicly available datasets to guide efficient image analysis. Neuro-Oncology Advances, 7 (1), 197. doi:10.1093/noajnl/vdae197 https://hdl.handle.net/10993/68437

The most cited

5 citations (Scopus®)

ABBAD ANDALOUSSI, M. (2026). A translational framework for MRI-informed biomechanical modeling of glioma growth dynamics [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/68219

https://hdl.handle.net/10993/68219

https://hdl.handle.net/10993/68437

Peer Reviewed verified by ORBi

MASER, R., ABBAD ANDALOUSSI, M., LAMOLINE, F.* , & HUSCH, A. (2024). Unified Retrieval for Streamlining Biomedical Image Dataset Aggregation and Standardization. In Bildverarbeitung für die Medizin 2024. Springer Fachmedien Wiesbaden. doi:10.1007/978-3-658-44037-4_83

https://hdl.handle.net/10993/60531

Peer reviewed

* These authors have contributed equally to this work.

LAVIGNE, T., URCUN, S., Sciumè, G., & ABBAD ANDALOUSSI, M. (2024). FEniCSx-GMSH Symposium (I2M Bordeaux) [Paper presentation]. Symposium at I2M, Université de Bordeaux, Bordeaux, France.

https://hdl.handle.net/10993/65278

ABBAD ANDALOUSSI, M., HUSCH, A., URCUN, S., & BORDAS, S. (06 June 2022). Imaging-informed BIOmechanical brain tumor forecast MOdelling [Paper presentation]. European Congres on COmputational Methods in Applied Sciences and engineering (ECCOMAS), Oslo, Norway.

https://hdl.handle.net/10993/52636