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ORCIDSouhil Tliba
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2020 – today
- 2024
[j2]Amel Imene Hadj Bouzid, Sid-Ahmed Berrani, Saïd Yahiaoui, Ahror Belaid, Djamal Belazzougui, Mohand Djouad, Kawthar Bensalah, Hacène Belbachir, Qaïs Naïli, Mohamed El Hafedh Abdi, Souhil Tliba:
Deep learning-based Covid-19 diagnosis: a thorough assessment with a focus on generalization capabilities. EURASIP J. Image Video Process. 2024(1): 40 (2024)- 2021
- [j1]Asma Boudrioua
, Abdelouahab Aloui, Basel Solaiman, Larbi Asli, Douraied Ben Salem, Souhil Tliba:
Automatic three-dimensional detection and volume estimation of low-grade gliomas. Int. J. Imaging Syst. Technol. 31(3): 1678-1691 (2021) - 2020
- [c3]Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Saïd Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze:
Efficient Embedding Network for 3D Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 252-262 - [i1]Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Saïd Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze:
Efficient embedding network for 3D brain tumor segmentation. CoRR abs/2011.11052 (2020)
2010 – 2019
- 2018
- [c2]Rahima Zaouche, Ahror Belaid, Basel Solaiman, Douraied Ben Salem, Souhil Tliba:
Segmentation of low-grade gliomas based on the growing region and level sets techniques. ATSIP 2018: 1-5 - 2016
- [c1]Rahima Zaouche, Ahror Belaid, Soraya Aloui, Basel Solaiman, Ahcène Bounceur, Douraied Ben Salem, S. Sid-Ahmed, Souhil Tliba:
Segmentation of low-grade gliomas in MRI: Phase based method. ATSIP 2016: 97-102
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