Mohammad R. Salmanpour, Ghasem Hajianfar, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Mohammad Mehdi Hosseini, Ehsanhosein Kalatehjari, Ali Harimi, Arman Rahmim. Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer. In Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge, editors, Head and Neck Tumor Segmentation and Outcome Prediction - Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Volume 13626 of Lecture Notes in Computer Science, pages 230-239, Springer, 2022. [doi]
@inproceedings{SalmanpourHHRHKHR22,
title = {Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer},
author = {Mohammad R. Salmanpour and Ghasem Hajianfar and Mahdi Hosseinzadeh and Seyed Masoud Rezaeijo and Mohammad Mehdi Hosseini and Ehsanhosein Kalatehjari and Ali Harimi and Arman Rahmim},
year = {2022},
doi = {10.1007/978-3-031-27420-6_23},
url = {https://doi.org/10.1007/978-3-031-27420-6_23},
researchr = {https://researchr.org/publication/SalmanpourHHRHKHR22},
cites = {0},
citedby = {0},
pages = {230-239},
booktitle = {Head and Neck Tumor Segmentation and Outcome Prediction - Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings},
editor = {Vincent Andrearczyk and Valentin Oreiller and Mathieu Hatt and Adrien Depeursinge},
volume = {13626},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-27420-6},
}