Khawla Brahim

According to our database, Khawla Brahim authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Facsimiles-based deep learning for matching relief-printed decorations on medieval ceramic sherds.

Khawla Brahim, Sylvie Treuillet, Matthieu Exbrayat, Sébastien Jesset

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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).

Khawla Brahim, Tewodros Weldebirhan Arega, Arnaud Boucher, Stéphanie Bricq, Anis Sakly, Fabrice Mériaudeau

Sensors, 2022

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.

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

Medical Image Anal., 2022

2021

Deep learning architectures for automatic detection of viable myocardiac segments. (Architectures d'apprentissage profond pour la détection automatique de segments myocardiques viables).

Khawla Brahim

PhD thesis, 2021

Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.

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

CoRR, 2021

2020

Efficient 3D Deep Learning for Myocardial Diseases Segmentation.

Khawla Brahim, Abdul Qayyum, Alain Lalande, Arnaud Boucher, Anis Sakly, Fabrice Mériaudeau

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases.

Khawla Brahim, Abdul Qayyum, Alain Lalande, Arnaud Boucher, Anis Sakly, Fabrice Mériaudeau

Proceedings of the Tenth International Conference on Image Processing Theory, 2020

A deep learning approach for the segmentation of myocardial diseases.

Khawla Brahim, Abdul Qayyum, Alain Lalande, Arnaud Boucher, Anis Sakly, Fabrice Mériaudeau

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Spatio-temporal saliency detection using objectness measure.

Khawla Brahim, Rahma Kalboussi, Mehrez Abdellaoui, Ali Douik

Signal Image Video Process., 2019