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Title: Innovations of Jianqiao Zhou in Ultrasonic Technology
Introduction
Jianqiao Zhou is a prominent inventor based in Shanghai, China, known for his significant contributions to the field of ultrasonic technology. With a total of six patents to his name, Zhou has developed innovative methods that enhance the capabilities of ultrasound imaging and processing.
Latest Patents
One of his latest patents is the "Neural network model and ultrasonic beam forming method based on neural network model." This invention provides a method for ultrasonic beam forming that involves receiving ultrasonic echo radio frequency signals and processing them through a neural network model. The method includes multiple stages of convolution and pooling processing, ultimately converting three-dimensional data into one-dimensional data for classification and grayscale mapping to form an ultrasonic beam.
Another notable patent is the "Ultrasound elastography imaging system and method." This system comprises a transmitting/receiving unit that transmits ultrasound pulses and receives echoes to obtain ultrasound echo signals. It features an imaging unit that processes these signals and displays the resulting images, along with an analysis unit that detects regions of interest and calculates elasticity parameters for analysis.
Career Highlights
Jianqiao Zhou has worked at prestigious institutions, including Shanghai Jiaotong University and Shenzhen Mindray Bio-medical Electronics Co., Ltd. His work in these organizations has allowed him to advance his research and contribute to the development of cutting-edge technologies in the biomedical field.
Collaborations
Zhou has collaborated with notable colleagues such as Jianwen Zhang and Weixin Fang, further enhancing the impact of his work through teamwork and shared expertise.
Conclusion
Jianqiao Zhou's innovative patents and career achievements highlight his significant role in advancing ultrasonic technology. His contributions continue to influence the field and pave the way for future developments in medical imaging and diagnostics.
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