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Your search keyword '"Lin, Siyu"' showing total 9 results
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9 results on '"Lin, Siyu"'

2. Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets

Author

Barrera-Naranjo, Armando, primary, Marin-Castrillon, Diana M., additional, Decourselle, Thomas, additional, Lin, Siyu, additional, Leclerc, Sarah, additional, Morgant, Marie-Catherine, additional, Bernard, Chloé, additional, De Oliveira, Shirley, additional, Boucher, Arnaud, additional, Presles, Benoit, additional, Bouchot, Olivier, additional, Christophe, Jean-Joseph, additional, and Lalande, Alain, additional

Published
2023
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3. Comparison of In-Vivo and Ex-Vivo Ascending Aorta Elastic Properties through Automatic Deep Learning Segmentation of Cine-MRI and Biomechanical Testing

Author

Markodimitrakis, Emmanouil, primary, Lin, Siyu, additional, Koutoulakis, Emmanouil, additional, Marín-Castrillón, Diana Marcela, additional, Tovar Sáez, Francisco Aarón, additional, Leclerc, Sarah, additional, Bernard, Chloé, additional, Boucher, Arnaud, additional, Presles, Benoit, additional, Bouchot, Olivier, additional, Decourselle, Thomas, additional, Morgant, Marie-Catherine, additional, and Lalande, Alain, additional

Published
2023
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8. 16.8/15.2 ppm/°C 81 nW High PSRR Dual-Output Voltage Reference for Portable Biomedical Application

Author

Liu Junxin, Wei Baolin, Li Hai'ou, Sun Xiaofei, Yue Hongwei, Lin Siyu, Xu Weilin, and Wang Taotao

Subjects
Power supply rejection ratio, high-power supply rejection ratio, Materials science, Computer Networks and Communications, Monte Carlo method, lcsh:TK7800-8360, Integrated circuits (Analog), 02 engineering and technology, Hardware_PERFORMANCEANDRELIABILITY, portable biomedical, Current mirror, 0202 electrical engineering, electronic engineering, information engineering, Hardware_INTEGRATEDCIRCUITS, Electrical and Electronic Engineering, low-power consumption, Monte Carlo simulation, business.industry, Subthreshold conduction, low-Temperature coefficient, 020208 electrical & electronic engineering, lcsh:Electronics, Electrical engineering, low-Line sensitivity, 020206 networking & telecommunications, Hardware and Architecture, Control and Systems Engineering, dual-output voltage reference, Signal Processing, Cascode, business, Sensitivity (electronics), Voltage reference, Voltage, Hardware_LOGICDESIGN
Abstract

A dual-output voltage reference circuit with two reference voltages of 281 mV (Vref1) and 320.5 mV (Vref2) is presented in this paper. With a novel and precise circuit structure, the proposed circuit, operating in the subthreshold region, integrates two different output voltages into a circuit to form a dual-output voltage reference, and cascode current mirrors are used to enhance the power supply rejection ratio (PSRR). The proposed circuit was designed in a standard 0.18-&micro, m CMOS process and has a series of attractive features: low-temperature coefficient (TC), high-PSRR, low-Line sensitivity (LS), small-chip area and low-power consumption. Monte Carlo simulations for 2000 samples showed that the output voltages 281 mV and 320.5 mV had a variation coefficient of 1.73% and 1.44%, respectively. The minimum power consumption was 84.1 nW at 0.9 V supply, proving that the circuit is suitable for portable biomedical application. The active area of the proposed voltage reference was only 0.0086 mm2.

Published
2019

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