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Artificial Intelligence (1409) Machine Learning (1491) Clinical Informatics (1045) Imaging Informatics (198) Decision Support for Health Professionals (1203) Clinical Information and Decision Making (1426) Innovations and Technology in Cancer Care (429)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26151, first published .
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

Authors of this article:

Stanislav Nikolov1 Author Orcid Image ;   Sam Blackwell1 Author Orcid Image ;   Alexei Zverovitch2 Author Orcid Image ;   Ruheena Mendes3 Author Orcid Image ;   Michelle Livne2 Author Orcid Image ;   Jeffrey De Fauw1 Author Orcid Image ;   Yojan Patel2 Author Orcid Image ;   Clemens Meyer1 Author Orcid Image ;   Harry Askham1 Author Orcid Image ;   Bernadino Romera-Paredes1 Author Orcid Image ;   Christopher Kelly2 Author Orcid Image ;   Alan Karthikesalingam2 Author Orcid Image ;   Carlton Chu1 Author Orcid Image ;   Dawn Carnell3 Author Orcid Image ;   Cheng Boon4 Author Orcid Image ;   Derek D'Souza3 Author Orcid Image ;   Syed Ali Moinuddin3 Author Orcid Image ;   Bethany Garie1 Author Orcid Image ;   Yasmin McQuinlan1 Author Orcid Image ;   Sarah Ireland1 Author Orcid Image ;   Kiarna Hampton1 Author Orcid Image ;   Krystle Fuller1 Author Orcid Image ;   Hugh Montgomery5 Author Orcid Image ;   Geraint Rees5 Author Orcid Image ;   Mustafa Suleyman6 Author Orcid Image ;   Trevor Back1 Author Orcid Image ;   Cían Owen Hughes2 Author Orcid Image ;   Joseph R Ledsam7 Author Orcid Image ;   Olaf Ronneberger1 Author Orcid Image
Article Authors Cited by (148) Tweetations (12) Metrics

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Books/Policy Documents

  1. Naser M, Wahid K, van Dijk L, He R, Abdelaal M, Dede C, Mohamed A, Fuller C. Head and Neck Tumor Segmentation and Outcome Prediction. View
  2. Zheng H, Nan L, Yang Q, Yang M, Yang T, Suandi T. The 2021 International Conference on Smart Technologies and Systems for Internet of Things. View
  3. Mody P, Chaves-de-Plaza N, Hildebrandt K, Staring M. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging. View
  4. Sellner J, Seidlitz S, Studier-Fischer A, Motta A, Özdemir B, Müller-Stich B, Nickel F, Maier-Hein L. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. View
  5. Podobnik G, Strojan P, Peterlin P, Ibragimov B, Vrtovec T. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. View
  6. Boon I, Yap M, Au Yong T, Boon C. Machine Learning and Artificial Intelligence in Radiation Oncology. View
  7. Khriguian J, Gharzai L, Heukelom J, McDonald B, Fuller C. A Practical Guide to MR-Linac. View
  8. Fraile-Sanchón R, Vázquez-Ingelmo A, García-Peñalvo F, García-Holgado A. Proceedings of TEEM 2023. View
  9. Kalita A, Boruah A, Das T, Mazumder N, Jaiswal S, Zhuo G, Gogoi A, Kakoty N, Kao F. Biomedical Imaging. View
  10. Podobnik G, Vrtovec T. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. View
  11. Shi P, Hu J, Yang Y, Gao Z, Liu W, Ma T. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. View
  12. Podobnik G, Ocepek D, Škrlj L, Vrtovec T. Shape in Medical Imaging. View
  13. Yaushev F, Nogina D, Samokhin V, Dugova M, Petrash E, Sevryukov D, Belyaev M, Pisov M. Shape in Medical Imaging. View