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The paper's citation list
No.The paper's citation list
1Laser ablation of liver tumors: An ancillary technique, or an alternative to radiofrequency and microwave?. 2017;9:91 doi: 10.4329/wjr.v9.i3.91
2Image-guided Laser Ablation. 2020;135 doi: 10.1007/978-3-030-21748-8_14
3Distributed 2D temperature sensing during nanoparticles assisted laser ablation by means of high-scattering fiber sensors. 2020;10: doi: 10.1038/s41598-020-69384-2
4Automatic detection of coagulation and carbonization in laser applications using machine learning techniques. 2020;30:095601 doi: 10.1088/1555-6611/ab9d75
5Laser ablation with or without chemoembolization for unresectable neuroendocrine liver metastases: a pilot study. 2016;3:97 doi: 10.2217/ije.15.34
6Liver-directed therapies for liver metastases from neuroendocrine neoplasms: Can laser ablation play any role?. 2020;26:3118 doi: 10.3748/wjg.v26.i23.3118
7Prediction of laser-induced thermal damage with artificial neural networks. 2019;29:075205 doi: 10.1088/1555-6611/ab183b
8Radiofrequency Ablation and Microwave Ablation in Liver Tumors: An Update. 2019;24: doi: 10.1634/theoncologist.2018-0337
9Computational analysis of linear energy modulation for laser thermal coagulation. 2018;9:2575 doi: 10.1364/BOE.9.002575
10Percutaneous Laser Ablation of Liver Metastases from Neuroendocrine Neoplasm. A Retrospective Study for Safety and Effectiveness. 2019;42:1571 doi: 10.1007/s00270-019-02308-4
11Ultrasound-guided percutaneous laser ablation is safe and effective in the treatment of small renal tumors in patients at increased bleeding risk. 2018;35:19 doi: 10.1080/02656736.2018.1468038
12Optimization of an artificial neural network to estimate laser ablation efficiency. 2019;29:115603 doi: 10.1088/1555-6611/ab43d9
13Effect of optical energy modulation on the thermal response of biological tissue: computational and experimental validations. 2020;11:6905 doi: 10.1364/BOE.404827
14Imaging of the Liver and Intra-hepatic Biliary Tract. 2021;269 doi: 10.1007/978-3-030-39021-1_12
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