和平主义者 发表于 2025-3-25 05:50:26
http://reply.papertrans.cn/19/1898/189702/189702_21.pngAlcove 发表于 2025-3-25 08:08:57
Claus G. Krenn MD,Marko Nicolic MDalgorithms. The main limitation of these methods is the heavy experimental costs involved. We have then suggested the introduction of purely numerical non-linear full-waveform inversion algorithms. The performances and the limitations of these linear and non-linear methods applied to cortical bone tAnticoagulants 发表于 2025-3-25 12:28:43
http://reply.papertrans.cn/19/1898/189702/189702_23.pngTonometry 发表于 2025-3-25 18:30:07
http://reply.papertrans.cn/19/1898/189702/189702_24.png责问 发表于 2025-3-25 21:18:54
http://reply.papertrans.cn/19/1898/189702/189702_25.png改革运动 发表于 2025-3-26 00:22:50
Regional Chemotherapy of Liver Cancersticate and diagnose mild and severe scoliosis at a more frequent and non-ionizing basis. The authors wish that this chapter will help to promote the applications of ultrasound to medical specialists in different aspects regarding the possibilities of ultrasonography to tackle with different spinalFlawless 发表于 2025-3-26 07:10:33
http://reply.papertrans.cn/19/1898/189702/189702_27.png行乞 发表于 2025-3-26 10:32:15
Book 2022c waves in complex bone structures have been reported over the past ten years. Impaired bone remodeling affects not only the trabecular compartment but also the cortical one. Despite the crucial contribution of the cortical structure to the whole bone mechanical competence, cortical bone was understGIST 发表于 2025-3-26 15:23:39
Nicholas Nyachega,Vongai Olivia Sagonda models representing real bone structures, the numerical or statistical separation techniques of the two waves, and machine learning techniques for deriving material information are discussed. Finally, in Sect. ., the results and the current limitations of the clinical assessment with a device using the two-wave phenomenon are introduced.Hamper 发表于 2025-3-26 20:15:31
Ultrasonic Assessment of Cancellous Bone Based on the Two-Wave Phenomenon models representing real bone structures, the numerical or statistical separation techniques of the two waves, and machine learning techniques for deriving material information are discussed. Finally, in Sect. ., the results and the current limitations of the clinical assessment with a device using the two-wave phenomenon are introduced.