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Mohamed Amine Larhmam
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2010 – 2019
- 2019
- [j2]Mohammed El Adoui, Sidi Ahmed Mahmoudi, Mohamed Amine Larhmam, Mohammed Benjelloun:
MRI Breast Tumor Segmentation Using Different Encoder and Decoder CNN Architectures. Comput. 8(3): 52 (2019) - [c7]Mohammed El Adoui, Mohamed Amine Larhmam, Stylianos Drisis, Mohammed Benjelloun:
Deep Learning approach predicting breast tumor response to neoadjuvant treatment using DCE-MRI volumes acquired before and after chemotherapy. Computer-Aided Diagnosis 2019: 109502I - 2018
- [c6]Mohammed Benjelloun, Mohammed El Adoui, Mohamed Amine Larhmam, Sidi Ahmed Mahmoudi:
Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning. Cloudtech 2018: 1-6 - [c5]Mohamed Amine Larhmam, Saïd Mahmoudi, Stylianos Drisis, Mohammed Benjelloun:
A Texture Analysis Approach for Spine Metastasis Classification in T1 and T2 MRI. IWBBIO (2) 2018: 198-211 - [c4]Mohammed Benjelloun, El Wardani Dadi, El Mostafa Daoudi, Mohamed Amine Larhmam:
Content-based 3D shape retrieval using deep learning approach. LOPAL 2018: 56:1-56:4 - 2017
- [c3]Sidi Ahmed Mahmoudi, Mohammed El Adoui, Mohammed Amin Belarbi, Mohamed Amine Larhmam, Fabian Lecron:
Cloud-based platform for computer vision applications. ICSDE 2017: 195-200 - 2014
- [j1]Mohamed Amine Larhmam, Mohammed Benjelloun, Saïd Mahmoudi:
Vertebra identification using template matching modelmp and $K$ -means clustering. Int. J. Comput. Assist. Radiol. Surg. 9(2): 177-187 (2014) - [c2]Mohamed Amine Larhmam, Sidi Ahmed Mahmoudi, Mohammed Benjelloun, Saïd Mahmoudi, Pierre Manneback:
A Portable Multi-CPU/Multi-GPU Based Vertebra Localization in Sagittal MR Images. ICIAR (2) 2014: 209-218 - 2012
- [c1]Mohamed Amine Larhmam, Saïd Mahmoudi, Mohammed Benjelloun:
Semi-automatic detection of cervical vertebrae in X-ray images using generalized hough transform. IPTA 2012: 396-401
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