Profil

Larhmam Mohamed Amine

Main Referenced Co-authors
Benjelloun, Mohammed  (14)
MAHMOUDI, Saïd  (12)
El adoui, Mohammed  (4)
MAHMOUDI, Sidi  (3)
Belarbi, Mohammed Amin  (2)
Main Referenced Keywords
Medical image analysis (4); MRI (4); Vertebra segmentation (4); Medical imaging (3); Template matching (3);
Main Referenced Unit & Research Centers
CRTI - Centre de Recherche en Technologie de l'Information (3)
Main Referenced Disciplines
Computer science (16)
Radiology, nuclear medicine & imaging (10)
Electrical & electronics engineering (2)

Publications (total 17)

The most downloaded
47 downloads
El Adoui, M., Drisis, S., Larhmam, M., Lemort, M., & Benjelloun, M. (20 September 2017). Breast cancer heterogeneity analysis as index of response to treatment using MRI images: A review. Imaging in Medicine, 9 (4), 109-119. https://hdl.handle.net/20.500.12907/30056

The most cited

33 citations (Scopus®)

Larhmam, M., Benjelloun, M., & Mahmoudi, S. (24 July 2013). Vertebra identification using template matching model and K-means clustering. International Journal of Computer Assisted Radiology and Surgery, 8 (1), 1-11. doi:10.1007/s11548-013-0927-2 https://hdl.handle.net/20.500.12907/7565

Mahmoudi, S., Belarbi, M. A., El Adoui, M., Larhmam, M., & Lecron, F. (2018). Real Time Web-based Toolbox for Computer Vision. Journal of Science and Technology of the Arts.
Peer Reviewed verified by ORBi

Lessage, X., Larhmam, M., Mahmoudi, S., & Nedjar, I. (2018). Assessing Breast Cancer Screening using recent Deep Convolutional Neural Networks. International Journal of Computer Assisted Radiology and Surgery.
Peer Reviewed verified by ORBi

Benjelloun, M., Dadi, E. W., Daoudi, E. M., & Larhmam, M. (2018). Content-based 3D shape retrieval using deep learning approach [Paper presentation]. International Conference on Learning and Optimization Algorithms: Theory and Application, Rabat, Morocco.

Larhmam, M., Mahmoudi, S., Drisis, S., & Benjelloun, M. (25 April 2018). A Texture Analysis Approach for Spine Metastasis Classification in T1 and T2 MRI. Bioinformatics and Biomedical Engineering, 2 (2018), 198-211. doi:10.1007/978-3-319-78759-6_19
Peer reviewed

Larhmam, M., El Adoui, M., & Benjelloun, M. (26 March 2018). Evaluating Deep Features for Breast Cancer Response Prediction in MRI Based on GPU Learning [Paper presentation]. AI & Deep Learning Conference, GTC 2018, NVIDIA, San Jose, United States - California.

El Adoui, M., Drisis, S., Larhmam, M., Lemort, M., & Benjelloun, M. (20 September 2017). Breast cancer heterogeneity analysis as index of response to treatment using MRI images: A review. Imaging in Medicine, 9 (4), 109-119.
Peer Reviewed verified by ORBi

Mahmoudi, S., El Adoui, M., Belarbi, M. A., Larhmam, M., & Lecron, F. (2017). Cloud-based Platform for Computer Vision Applications [Paper presentation]. International Conference on Smart Digital Environment (ICSDE'17), Rabat, Morocco.

Larhmam, M., Benjelloun, M., & Mahmoudi, S. (10 December 2015). Classification of Spine Metastasis in T1-weighted MRI [Poster presentation]. Grascomp Doctoral Day, Namur, Belgium.

Larhmam, M., Benjelloun, M., & Mahmoudi, S. (10 March 2015). Computer aided diagnosis of bone metastasis using spine segmentation [Poster presentation]. 8ème édition de la Matinée des Chercheurs 2015 (MdC2015), Mons, Belgium.

Larhmam, M., Mahmoudi, S., Benjelloun, M., & Gillis, N. (2015). La vision par ordinateur au service de l'oncologie. Polytech News, (51), 13.

Larhmam, M., Mahmoudi, S., Benjelloun, M., Mahmoudi, S., & Manneback, P. (2014). A Portable Multi-CPU/Multi-GPU based Vertebra Localization in Sagittal MR Images. Lecture Notes in Computer Science, (2014), 209-218.
Peer reviewed

Larhmam, M., Benjelloun, M., & Mahmoudi, S. (25 June 2014). Towards a computer aided diagnosis for spine metastasis detection in MRI. International Journal of Computer Assisted Radiology and Surgery, 9(2014) (Suppl 1), 239.
Peer Reviewed verified by ORBi

Larhmam, M., Benjelloun, M., & Mahmoudi, S. (24 July 2013). Vertebra identification using template matching model and K-means clustering. International Journal of Computer Assisted Radiology and Surgery, 8 (1), 1-11. doi:10.1007/s11548-013-0927-2
Peer Reviewed verified by ORBi

Larhmam, M., Benjelloun, M., & Mahmoudi, S. (26 June 2013). A model-based approach for cervical spine mobility analysis. International Journal of Computer Assisted Radiology and Surgery, Volume 8 (Supplement 1), 291-S292. doi:10.1007/s11548-013-0880-0
Peer Reviewed verified by ORBi

Larhmam, M., Benjelloun, M., & Mahmoudi, S. (12 March 2013). A Model-Based Approach for Cervical Vertebra Segmentation [Poster presentation]. 7ième Matinée des Chercheurs, Mons, Belgium.

Benjelloun, M., Mahmoudi, S., & Larhmam, M. (2012). Template Matching Approaches Applied to Vertebra Detection. In Advances in Image Segmentation (pp. 3-23). InTech.

Larhmam, M., Mahmoudi, S., & Benjelloun, M. (2012). Semi-Automatic Detection of Cervical Vertebrae in X-ray Images Using Generalized Hough Transform [Paper presentation]. 3 rd International Conference on Image Processing Theory, Tools and Applications.IPTA'12, Istanbul, Turkey.

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