Bilel daoud
Title
Cited by
Cited by
Year
3D segmentation of nasopharyngeal carcinoma from CT images using cascade deep learning
B Daoud, K Morooka, R Kurazume, F Leila, W Mnejja, J Daoud
Computerized Medical Imaging and Graphics 77, 101644, 2019
162019
Dose distribution prediction for optimal treamtment of modern external beam radiation therapy for nasopharyngeal carcinoma
B Daoud, K Morooka, S Miyauchi, R Kurazume, W Mnejja, L Farhat, ...
Workshop on Artificial Intelligence in Radiation Therapy, 128-136, 2019
32019
A Deep Learning-Based Method for Predicting Volumes of Nasopharyngeal Carcinoma for Adaptive Radiation Therapy Treatment
B Daoud, K Morooka, S Miyauchi, R Kurazume, W Mnejja, L Farhat, ...
2020 25th International Conference on Pattern Recognition (ICPR), 3256-3263, 2021
2021
PO-1668: Can we use cascade deep learning for GTV delineation in adaptive radiotherapy for NPC?
B Daoud, K Morooka, R Kurazume, N Fourati, W Mnejja, L Farhat, ...
Radiotherapy and Oncology 152, S916, 2020
2020
A Method for Predicting Dose Distribution of Nasopharyngeal Carcinoma Cases by Multiple Deep Neural Networks
B Daoud, K Morooka, S Miyauchi, R Kurazume, W Mnejja, L Farhat, ...
2020 Joint 9th International Conference on Informatics, Electronics & Vision …, 2020
2020
Automatic segmentation of nasopharyngeal carcinoma from CT images
B Daoud, A Khalfallah, L Farhat, W Mnejja, K Morooka, MS Bouhlel, ...
International Journal of Biomedical Engineering and Technology 33 (3), 240-257, 2020
2020
Analyse des fichiers dynalog-Varian pour le contrôle de qualité des radiothérapies dynamiques
L Farhat, T Sahnoun, B Daoud, J Daoud
Cancer/Radiothérapie 21 (6-7), 719-720, 2017
2017
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