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For: Isaksson LJ, Pepa M, Zaffaroni M, Marvaso G, Alterio D, Volpe S, Corrao G, Augugliaro M, Starzyńska A, Leonardi MC, Orecchia R, Jereczek-Fossa BA. Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy. Front Oncol 2020;10:790. [PMID: 32582539 DOI: 10.3389/fonc.2020.00790] [Cited by in F6Publishing: 22] [Reference Citation Analysis]
Number Citing Articles
1 Li G, Wu X, Ma X. Artificial intelligence in radiotherapy. Semin Cancer Biol 2022:S1044-579X(22)00191-2. [PMID: 35998809 DOI: 10.1016/j.semcancer.2022.08.005] [Reference Citation Analysis]
2 Di Nunno V, Fordellone M, Minniti G, Asioli S, Conti A, Mazzatenta D, Balestrini D, Chiodini P, Agati R, Tonon C, Tosoni A, Gatto L, Bartolini S, Lodi R, Franceschi E. Machine learning in neuro-oncology: toward novel development fields. J Neurooncol 2022. [PMID: 35761160 DOI: 10.1007/s11060-022-04068-7] [Reference Citation Analysis]
3 Barragán-Montero A, Bibal A, Dastarac MH, Draguet C, Valdés G, Nguyen D, Willems S, Vandewinckele L, Holmström M, Löfman F, Souris K, Sterpin E, Lee JA. Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency. Phys Med Biol 2022;67. [PMID: 35421855 DOI: 10.1088/1361-6560/ac678a] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
4 Beddok A, Calugaru V, de Marzi L, Graff P, Dumas JL, Goudjil F, Dendale R, Minsat M, Verrelle P, Buvat I, Créhange G. Clinical and technical challenges of cancer reirradiation: Words of wisdom. Crit Rev Oncol Hematol 2022;:103655. [PMID: 35398521 DOI: 10.1016/j.critrevonc.2022.103655] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Tohidinezhad F, Pennetta F, van Loon J, Dekker A, de Ruysscher D, Traverso A. Prediction models for treatment-induced cardiac toxicity in patients with non-small-cell lung cancer: A systematic review and meta-analysis. Clinical and Translational Radiation Oncology 2022;33:134-44. [DOI: 10.1016/j.ctro.2022.02.007] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Chen G, Cui J, Qian J, Zhu J, Zhao L, Luo B, Cui T, Zhong L, Yang F, Yang G, Zhao X, Zhou Y, Geng M, Sun J. Rapid Progress in Intelligent Radiotherapy and Future Implementation. Cancer Invest 2022;:1-17. [PMID: 35225723 DOI: 10.1080/07357907.2022.2044842] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Amouheidari A, Alirezaei Z, Rauh S, Hassanpour M, Kanat O. PrACTiC: A Predictive Algorithm for Chemoradiotherapy-Induced Cytopenia in Glioblastoma Patients. Journal of Oncology 2022;2022:1-7. [DOI: 10.1155/2022/1438190] [Reference Citation Analysis]
8 Ferro M, de Cobelli O, Musi G, Del Giudice F, Carrieri G, Busetto GM, Falagario UG, Sciarra A, Maggi M, Crocetto F, Barone B, Caputo VF, Marchioni M, Lucarelli G, Imbimbo C, Mistretta FA, Luzzago S, Vartolomei MD, Cormio L, Autorino R, Tătaru OS. Radiomics in prostate cancer: an up-to-date review. Ther Adv Urol 2022;14:17562872221109020. [PMID: 35814914 DOI: 10.1177/17562872221109020] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
9 Volpe S, Pepa M, Zaffaroni M, Bellerba F, Santamaria R, Marvaso G, Isaksson LJ, Gandini S, Starzyńska A, Leonardi MC, Orecchia R, Alterio D, Jereczek-Fossa BA. Machine Learning for Head and Neck Cancer: A Safe Bet?-A Clinically Oriented Systematic Review for the Radiation Oncologist. Front Oncol 2021;11:772663. [PMID: 34869010 DOI: 10.3389/fonc.2021.772663] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Alcalay M, Jereczek-Fossa BA, Pepa M, Volpe S, Zaffaroni M, Fiore F, Marvaso G, Pravettoni G, Curigliano G, Santaguida S, Pelicci PG. Biomedical omics: first insights of a new MSc degree of the University of Milan. Tumori 2021;:3008916211047268. [PMID: 34585604 DOI: 10.1177/03008916211047268] [Reference Citation Analysis]
11 Ferro M, de Cobelli O, Vartolomei MD, Lucarelli G, Crocetto F, Barone B, Sciarra A, Del Giudice F, Muto M, Maggi M, Carrieri G, Busetto GM, Falagario U, Terracciano D, Cormio L, Musi G, Tataru OS. Prostate Cancer Radiogenomics-From Imaging to Molecular Characterization. Int J Mol Sci 2021;22:9971. [PMID: 34576134 DOI: 10.3390/ijms22189971] [Cited by in Crossref: 1] [Cited by in F6Publishing: 22] [Article Influence: 1.0] [Reference Citation Analysis]
12 Barki C, Rahmouni HB, Labidi S. Prediction of Bladder Cancer Treatment Side Effects Using an Ontology-Based Reasoning for Enhanced Patient Health Safety. Informatics 2021;8:55. [DOI: 10.3390/informatics8030055] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Khodabakhshi Z, Mostafaei S, Arabi H, Oveisi M, Shiri I, Zaidi H. Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature. Comput Biol Med 2021;136:104752. [PMID: 34391002 DOI: 10.1016/j.compbiomed.2021.104752] [Cited by in F6Publishing: 11] [Reference Citation Analysis]
14 Aldraimli M, Soria D, Grishchuck D, Ingram S, Lyon R, Mistry A, Oliveira J, Samuel R, Shelley LEA, Osman S, Dwek MV, Azria D, Chang-Claude J, Gutiérrez-Enríquez S, De Santis MC, Rosenstein BS, De Ruysscher D, Sperk E, Symonds RP, Stobart H, Vega A, Veldeman L, Webb A, Talbot CJ, West CM, Rattay T, Chaussalet TJ; REQUITE consortium. A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy. Comput Biol Med 2021;135:104624. [PMID: 34247131 DOI: 10.1016/j.compbiomed.2021.104624] [Reference Citation Analysis]
15 Cui S, Ten Haken RK, El Naqa I. Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy. Int J Radiat Oncol Biol Phys 2021;110:893-904. [PMID: 33539966 DOI: 10.1016/j.ijrobp.2021.01.042] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
16 Lin J, Ruan J, Zhu H, Chen Z, Chen J, Yu H. Tenacissoside H Induces Autophagy and Radiosensitivity of Hepatocellular Carcinoma Cells by PI3K/Akt/mTOR Signaling Pathway. Dose Response 2021;19:15593258211011023. [PMID: 34035782 DOI: 10.1177/15593258211011023] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
17 Yakar M, Etiz D. Artificial intelligence in rectal cancer. Artif Intell Gastroenterol 2021; 2(2): 10-26 [DOI: 10.35712/aig.v2.i2.10] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Yan M, Wang W. A radiomics model of predicting tumor volume change of patients with stage III non-small cell lung cancer after radiotherapy. Sci Prog 2021;104:36850421997295. [PMID: 33687294 DOI: 10.1177/0036850421997295] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
19 Kalendralis P, Sloep M, van Soest J, Dekker A, Fijten R. Making radiotherapy more efficient with FAIR data. Phys Med 2021;82:158-62. [PMID: 33639520 DOI: 10.1016/j.ejmp.2021.01.083] [Cited by in Crossref: 1] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
20 Tătaru OS, Vartolomei MD, Rassweiler JJ, Virgil O, Lucarelli G, Porpiglia F, Amparore D, Manfredi M, Carrieri G, Falagario U, Terracciano D, de Cobelli O, Busetto GM, Del Giudice F, Ferro M. Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management-Current Trends and Future Perspectives. Diagnostics (Basel) 2021;11:354. [PMID: 33672608 DOI: 10.3390/diagnostics11020354] [Cited by in Crossref: 1] [Cited by in F6Publishing: 24] [Article Influence: 1.0] [Reference Citation Analysis]
21 Solarte Pabón O, Torrente M, Provencio M, Rodríguez-gonzalez A, Menasalvas E. Integrating Speculation Detection and Deep Learning to Extract Lung Cancer Diagnosis from Clinical Notes. Applied Sciences 2021;11:865. [DOI: 10.3390/app11020865] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
22 Tanabe S. How can artificial intelligence and humans work together to fight against cancer? Artif Intell Cancer 2020; 1(3): 45-50 [DOI: 10.35713/aic.v1.i3.45] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]