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For: Negro R, Rucco M, Creanza A, Mormile A, Limone PP, Garberoglio R, Spiezia S, Monti S, Cugini C, El Dalati G, Deandrea M. Machine Learning Prediction of Radiofrequency Thermal Ablation Efficacy: A New Option to Optimize Thyroid Nodule Selection. Eur Thyroid J 2020;9:205-12. [PMID: 32903883 DOI: 10.1159/000504882] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Li Y, Chou W, Chan W, Cheng K, Sun J, Liu F, Chen S, Liou M. Successful Applications of Food-Assisted and -Simulated Training Model of Thyroid Radiofrequency Ablation. Front Endocrinol 2022;13:809835. [DOI: 10.3389/fendo.2022.809835] [Reference Citation Analysis]
2 Yan L, Zhang M, Li X, Li Y, Luo Y. A Nomogram to Predict Regrowth After Ultrasound-Guided Radiofrequency Ablation for Benign Thyroid Nodules. Front Endocrinol 2022;12:774228. [DOI: 10.3389/fendo.2021.774228] [Reference Citation Analysis]
3 Mauri G, Papini E, Bernardi S, Barbaro D, Cesareo R, De Feo P, Deandrea M, Fugazzola L, Gambelunghe G, Greco G, Messina C, Monti S, Mormile A, Negro R, Offi C, Palermo A, Persani L, Presciuttini F, Solbiati LA, Spiezia S, Stacul F, Viganò M, Sconfienza LM. Image-guided thermal ablation in autonomously functioning thyroid nodules. A retrospective multicenter three-year follow-up study from the Italian Minimally Invasive Treatment of the Thyroid (MITT) Group. Eur Radiol 2021. [PMID: 34751793 DOI: 10.1007/s00330-021-08289-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
4 Sureshkumar V, Balasubramaniam S, Ravi V, Arunachalam A. A hybrid optimization algorithm‐based feature selection for thyroid disease classifier with rough type‐2 fuzzy support vector machine. Expert Systems 2022;39. [DOI: 10.1111/exsy.12811] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Nan J. Research on Improving the Accuracy of Radio Frequency Control of Robot System. 2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA) 2021. [DOI: 10.1109/aeeca52519.2021.9574188] [Reference Citation Analysis]
6 Deandrea M, Trimboli P, Mormile A, Cont AT, Milan L, Buffet C, Giovanella L, Limone PP, Poirée S, Leenhardt L, Russ G. Determining an energy threshold for optimal volume reduction of benign thyroid nodules treated by radiofrequency ablation. Eur Radiol 2021;31:5189-97. [PMID: 33409792 DOI: 10.1007/s00330-020-07532-y] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 9.0] [Reference Citation Analysis]
7 Park SI, Baek JH. How to Monitor and Manage Nodule Regrowth after Thermal Ablation of Benign Thyroid Nodules. Korean J Radiol 2021;22:293-5. [PMID: 32932568 DOI: 10.3348/kjr.2020.0690] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 Negro R, Trimboli P. Thermal ablation for benign, non-functioning thyroid nodules: A clinical review focused on outcomes, technical remarks, and comparisons with surgery. Electromagn Biol Med 2020;39:347-55. [PMID: 32799679 DOI: 10.1080/15368378.2020.1809448] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
9 Singh S, Melnik R. Thermal ablation of biological tissues in disease treatment: A review of computational models and future directions. Electromagn Biol Med 2020;39:49-88. [PMID: 32233691 DOI: 10.1080/15368378.2020.1741383] [Cited by in Crossref: 36] [Cited by in F6Publishing: 28] [Article Influence: 18.0] [Reference Citation Analysis]