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International Journal of Hyperthermia Volume 36, 2019 - Issue 1
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Original Articles

Real-time monitoring radiofrequency ablation using tree-based ensemble learning models

Emre BeslerDepartment of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA; View further author information
,
Y. Curtis WangDepartment of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA; ;Innoblative Designs, Chicago, IL, USA; ORCID Iconhttp://orcid.org/0000-0003-0211-9286View further author information
ORCID Icon,
Terence C. ChanDepartment of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA; ;Innoblative Designs, Chicago, IL, USA; View further author information
&
Alan V. SahakianDepartment of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA; ;Department of Biomedical Engineering, Northwestern University, Evanston, IL, USACorrespondence[email protected]
View further author information
Pages 427-436 | Received 03 Oct 2018, Accepted 17 Feb 2019, Published online: 02 Apr 2019

Citations (11)

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Sundeep Singh & Roderick Melnik. (2020) Thermal ablation of biological tissues in disease treatment: A review of computational models and future directions. Electromagnetic Biology and Medicine 39:2, pages 49-88.
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Articles from other publishers (10)

Nooshin Zeinali, Jan Sebek, Hojjatollah Fallahi, Austin Pfannenstiel & Punit Prakash. (2024) Transmission Coefficient-Based Monitoring of Microwave Ablation: Development and Experimental Evaluation in Ex Vivo Tissue. IEEE Transactions on Biomedical Engineering 71:4, pages 1269-1280.
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Hanife Tugba Kumru, Vitaly Gordin & Daniel Cortes. (2024) Predicting spatio-temporal radiofrequency ablation temperature using deep neural networks. Medical Engineering & Physics 124, pages 104089.
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Ali R. Al-Aizari, Hassan Alzahrani, Omar F. AlThuwaynee, Yousef A. Al-Masnay, Kashif Ullah, Hyuck-Jin Park, Nabil M. Al-Areeq, Mahfuzur Rahman, Bashar Y. Hazaea & Xingpeng Liu. (2024) Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and eXtreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen. Remote Sensing 16:2, pages 336.
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Hsiu-Chin Hsu, Siang-Rong Lin, Hung-Wei Chen, Chia-Ching Chou, Shu-Wei Chang & Chang-Wei Huang. (2023) Machine learning model for preoperative assessment of ultrasound diathermy with implants. International Journal of Thermal Sciences 193, pages 108499.
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Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis & Nikolaos Doulamis. (2023) Comparison of Tree-Based Ensemble Algorithms for Merging Satellite and Earth-Observed Precipitation Data at the Daily Time Scale. Hydrology 10:2, pages 50.
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Xinyi Wang, Wentao Li, Kangwei Zhang, Jianqi Sun, Jianlong Yang, Aili Zhang & Lisa Xu. (2022) A Novel Tumor Progression Prediction Method for Multimode Ablation Treatment. IEEE Transactions on Biomedical Engineering 69:4, pages 1386-1397.
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Emre Besler, Yearnchee Curtis Wang & Alan V. Sahakian. (2020) Early and Late Fusion Machine Learning on Multi-Frequency Electrical Impedance Data to Improve Radiofrequency Ablation Monitoring. IEEE Journal of Biomedical and Health Informatics 24:8, pages 2359-2367.
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Emre Besler, Yearnchee Curtis Wang & Alan V. Sahakian. (2020) Real-Time Radiofrequency Ablation Lesion Depth Estimation Using Multi-frequency Impedance With a Deep Neural Network and Tree-Based Ensembles. IEEE Transactions on Biomedical Engineering 67:7, pages 1890-1899.
Crossref
Sundeep Singh & Roderick Melnik. (2020) Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models. Bioengineering 7:2, pages 35.
Crossref
Emre Besler, Yearnchee Curtis Wang, Terence Chan & Alan Varteres Sahakian. 2019. Artificial Intelligence in Medicine. Artificial Intelligence in Medicine 205 215 .

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