Bilel Daoud - My portal

Profile Information

Affiliation: Special-Appointment Assistant Professor (Special-Appointment Assistant Professor), The Graduate School of Natural Science and Technology, Okayama University

ORCID ID: https://orcid.org/0000-0002-0327-7983
J-GLOBAL ID: 202101006338969149
researchmap Member ID: R000031760

Major Research Interests

Major Research Areas

Life sciences / Medical systems / Computer Aided Surgery, real-time image-guided therapy
Informatics / Biological, health, and medical informatics / Medical Image, Radiotherapy
Informatics / Perceptual information processing / Image Information Processing

Research History

Major Education

Apr, 2017 - Dec, 2020

PhD in Information and Intelligent Engineering, Graduate School of Information Science and Electrical Engineering, Kyushu University

Papers

A Deep Learning-Based Method for Predicting Volumes of Nasopharyngeal Carcinoma for Adaptive Radiation Therapy Treatment

Bilel Daoud, Ken'ichi Morooka, Shoko Miyauchi, Ryo Kurazume, Wafa Mnejja, Leila Farhat, Jamel Daoud

2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 3256-3263, 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, J. Daoud

Radiotherapy and Oncology, 152 S916-S916, Nov, 2020
A Method for Predicting Dose Distribution of Nasopharyngeal Carcinoma Cases by Multiple Deep Neural Networks

Bilel Daoud, Ken'ichi Morooka, Shoko Miyauchi, Ryo Kurazume, Wafa Mnejja, Leila Farhat, Jamel Daoud

2020 JOINT 9TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV) AND 2020 4TH INTERNATIONAL CONFERENCE ON IMAGING, VISION & PATTERN RECOGNITION (ICIVPR), 2020
Automatic segmentation of Nasopharyngeal carcinoma from CT images

Daoud, Bilel, Khalfallah, Ali, Farhat, Leila, Mnejja, Wafa, Morooka, Ken'ichi, Bouhlel, Med Salim, Daoud, Jamel

International Journal of Biomedical Engineering and Technology, 33(3) 240-257, 2020
3D segmentation of nasopharyngeal carcinoma from CT images using cascade deep learning

Daoud, Bilel, Morooka, Ken’ichi, Kurazume, Ryo, Leila, Farhat, Mnejja, Wafa, Daoud, Jamel

Computerized Medical Imaging and Graphics, 77 101644-101644, Oct, 2019
Dose Distribution Prediction for Optimal Treamtment of Modern External Beam Radiation Therapy for Nasopharyngeal Carcinoma

Daoud, Bilel, Morooka, Ken’ichi, Miyauchi, Shoko, Kurazume, Ryo, Mnejja, Wafa, Farhat, Leila, Daoud, Jamel

Artificial Intelligence in Radiation Therapy, 128-136, 2019
Analyse des fichiers dynalog-Varian pour le contrôle de qualité des radiothérapies dynamiques

Farhat, L, Sahnoun, T, Daoud, B, Daoud, J

Cancer/Radiothérapie, 21(6-7) 719-720, Oct, 2017

Professional Memberships

IEEE