| 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 | 34 | 2019 |
| 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, ... Artificial Intelligence in Radiation Therapy: First International Workshop …, 2019 | 5 | 2019 |
| 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 | 2 | 2020 |
| 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 |
| 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 |
Ken'ichi MorookaKumamoto University, JapanDirección de correo verificada de cs.kumamoto-u.ac.jp
