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Khawla Brahim
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2020 – today
- 2023
- [c4]Khawla Brahim, Sylvie Treuillet, Matthieu Exbrayat, Sébastien Jesset:
Facsimiles-based deep learning for matching relief-printed decorations on medieval ceramic sherds. ICCV (Workshops) 2023: 1605-1614 - 2022
- [j3]Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau:
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 79: 102428 (2022) - [j2]Khawla Brahim, Tewodros Weldebirhan Arega, Arnaud Boucher, Stéphanie Bricq, Anis Sakly, Fabrice Mériaudeau:
An Improved 3D Deep Learning-Based Segmentation of Left Ventricular Myocardial Diseases from Delayed-Enhancement MRI with Inclusion and Classification Prior Information U-Net (ICPIU-Net). Sensors 22(6): 2084 (2022) - 2021
- [b1]Khawla Brahim:
Deep learning architectures for automatic detection of viable myocardiac segments. (Architectures d'apprentissage profond pour la détection automatique de segments myocardiques viables). University of Burgundy, France, 2021 - [i1]Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau:
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR abs/2108.04016 (2021) - 2020
- [c3]Khawla Brahim, Abdul Qayyum, Alain Lalande, Arnaud Boucher, Anis Sakly, Fabrice Mériaudeau:
A deep learning approach for the segmentation of myocardial diseases. ICPR 2020: 4544-4551 - [c2]Khawla Brahim, Abdul Qayyum, Alain Lalande, Arnaud Boucher, Anis Sakly, Fabrice Mériaudeau:
A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases. IPTA 2020: 1-6 - [c1]Khawla Brahim, Abdul Qayyum, Alain Lalande, Arnaud Boucher, Anis Sakly, Fabrice Mériaudeau:
Efficient 3D Deep Learning for Myocardial Diseases Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 359-368
2010 – 2019
- 2019
- [j1]Khawla Brahim, Rahma Kalboussi, Mehrez Abdellaoui, Ali Douik:
Spatio-temporal saliency detection using objectness measure. Signal Image Video Process. 13(6): 1055-1062 (2019)
Coauthor Index
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