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2020 – today
- 2024
[j4]Imene Mecheter
, Maysam Abbod, Habib Zaidi, Abbes Amira:
Transfer learning from T1-weighted to T2-weighted Magnetic resonance sequences for brain image segmentation. CAAI Trans. Intell. Technol. 9(1): 26-39 (2024)- 2022
- [j3]Imene Mecheter, Maysam Abbod, Abbes Amira, Habib Zaidi:
Deep learning with multiresolution handcrafted features for brain MRI segmentation. Artif. Intell. Medicine 131: 102365 (2022) - [j2]Imene Mecheter, Maysam Abbod, Habib Zaidi, Abbes Amira:
Brain MR images segmentation using 3D CNN with features recalibration mechanism for segmented CT generation. Neurocomputing 491: 232-243 (2022) - 2020
- [j1]Imene Mecheter, Lejla Alic, Maysam Abbod, Abbes Amira, Jim Ji:
MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation. J. Digit. Imaging 33(5): 1224-1241 (2020) - [c3]Imene Mecheter, Abbes Amira, Maysam Abbod, Habib Zaidi:
Brain MR Imaging Segmentation Using Convolutional Auto Encoder Network for PET Attenuation Correction. IntelliSys (3) 2020: 430-440 - [c2]Imene Mecheter, Abbes Amira, Maysam Abbod, Habib Zaidi:
Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction. SSCI 2020: 2516-2520
2010 – 2019
- 2017
- [c1]Imene Mecheter, Rachid Hadjidj, Sebti Foufou:
An automated approach to translate a biological process from ODEs into graphical hybrid functional Petri Nets. CIBCB 2017: 1-8
Coauthor Index
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