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Xia Xiao

Researcher at Tianjin University

Publications -  81
Citations -  837

Xia Xiao is an academic researcher from Tianjin University. The author has contributed to research in topics: Surface acoustic wave & Breast cancer. The author has an hindex of 13, co-authored 78 publications receiving 653 citations. Previous affiliations of Xia Xiao include National Institute of Advanced Industrial Science and Technology & Hiroshima University.

Papers
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A Compact 4 $\times$ 4 Planar UWB Antenna Array for 3-D Breast Cancer Detection

TL;DR: It was confirmed that the compact 4 × 4 antenna array could detect a5 × 5 × 5-mm3 tumor phantom in an inhomogeneous structure with a glandular phantom and resolve the two separate tumor phantoms, which were located at the depth of 23 mm with the spacing of 10 mm.
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Detectability of Breast Tumor by a Hand-held Impulse-Radar Detector: Performance Evaluation and Pilot Clinical Study.

TL;DR: The final confocal imaging results are consistent with those of Magnetic Resonance Imaging (MRI), demonstrating the feasibility of the hand-held impulse-radar detector for malignant breast tumors.
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A Noninvasive Measurement of Blood Glucose Concentration by UWB Microwave Spectrum

TL;DR: In this paper, a non-invasive blood glucose measurement method based on ultrawideband (UWB) microwave detecting technique is proposed for monitoring the patients' blood glucose level.
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Direct Extraction of Tumor Response Based on Ensemble Empirical Mode Decomposition for Image Reconstruction of Early Breast Cancer Detection by UWB

TL;DR: The feasibility of the direct extraction method of tumor response based on ensemble empirical mode decomposition (EEMD) is confirmed by showing the correct tumor information in both simulation results and experimental results for the realistic 3-D printed breast phantom.
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A Radar-Based Breast Cancer Detection System Using CMOS Integrated Circuits

TL;DR: An ultrawideband (UWB) radar-based breast cancer detection system, which is composed of complementary metal-oxide-semiconductor integrated circuits, is presented and a successful detection of 1-cm cancer target in the breast phantom is demonstrated.