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Machine and deep learning methods for radiomics.
Avanzo M, Wei L, Stancanello J, Vallières M, Rao A, Morin O, Mattonen SA, El Naqa I. Avanzo M, et al. Among authors: stancanello j. Med Phys. 2020 Jun;47(5):e185-e202. doi: 10.1002/mp.13678. Med Phys. 2020. PMID: 32418336 Free PMC article. Review.
Beyond imaging: The promise of radiomics.
Avanzo M, Stancanello J, El Naqa I. Avanzo M, et al. Among authors: stancanello j. Phys Med. 2017 Jun;38:122-139. doi: 10.1016/j.ejmp.2017.05.071. Epub 2017 Jun 7. Phys Med. 2017. PMID: 28595812 Review.
Radiomics and deep learning in lung cancer.
Avanzo M, Stancanello J, Pirrone G, Sartor G. Avanzo M, et al. Among authors: stancanello j. Strahlenther Onkol. 2020 Oct;196(10):879-887. doi: 10.1007/s00066-020-01625-9. Epub 2020 May 4. Strahlenther Onkol. 2020. PMID: 32367456 Review.
Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis.
Avanzo M, Pirrone G, Vinante L, Caroli A, Stancanello J, Drigo A, Massarut S, Mileto M, Urbani M, Trovo M, El Naqa I, De Paoli A, Sartor G. Avanzo M, et al. Among authors: stancanello j. Front Oncol. 2020 Apr 21;10:490. doi: 10.3389/fonc.2020.00490. eCollection 2020. Front Oncol. 2020. PMID: 32373520 Free PMC article.
Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis.
Wang Y, Lombardo E, Avanzo M, Zschaek S, Weingärtner J, Holzgreve A, Albert NL, Marschner S, Fanetti G, Franchin G, Stancanello J, Walter F, Corradini S, Niyazi M, Lang J, Belka C, Riboldi M, Kurz C, Landry G. Wang Y, et al. Among authors: stancanello j. Comput Methods Programs Biomed. 2022 Jul;222:106948. doi: 10.1016/j.cmpb.2022.106948. Epub 2022 Jun 9. Comput Methods Programs Biomed. 2022. PMID: 35752119
37 results