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Yu-Tai Ching
Researcher at National Chiao Tung University
Publications - 41
Citations - 1036
Yu-Tai Ching is an academic researcher from National Chiao Tung University. The author has contributed to research in topics: Image segmentation & Tomography. The author has an hindex of 10, co-authored 40 publications receiving 949 citations.
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Journal ArticleDOI
Three-Dimensional Reconstruction of Brain-wide Wiring Networks in Drosophila at Single-Cell Resolution
Ann-Shyn Chiang,Ann-Shyn Chiang,Chih-Yung Lin,Chao Chun Chuang,Hsiu Ming Chang,Chang Huain Hsieh,Chang Wei Yeh,Chi-Tin Shih,Jian Jheng Wu,Guo Tzau Wang,Yung Chang Chen,Cheng Chi Wu,Guan-Yu Chen,Yu-Tai Ching,Ping Chang Lee,Chih-Yang Lin,Hui-Hao Lin,Chia Chou Wu,Hao Wei Hsu,Yun Ann Huang,Jing Yi Chen,Hsin Jung Chiang,Chun Fang Lu,Ru Fen Ni,Chao-Yuan Yeh,Jenn-Kang Hwang +25 more
TL;DR: It is found that the Drosophila brain is assembled from families of multiple LPUs and their interconnections, which provides an essential first step in the analysis of information processing within and between neurons in a complete brain.
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A study of grid artifacts formation and elimination in computed radiographic images.
Chih-Yang Lin,Wen-Jeng Lee,Shyh-Jye Chen,Ching Hwa Tsai,Jei Han Lee,Chia Hung Chang,Yu-Tai Ching +6 more
TL;DR: The formation of the artifacts is studied and it is shown that the grid artifacts occur in a narrow band of frequency in the frequency domain, which can be determined, accurately located, and thus removed from the frequencydomain.
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High-throughput Computer Method for 3D Neuronal Structure Reconstruction from the Image Stack of the Drosophila Brain and Its Applications
TL;DR: This study presents a high-throughput algorithm for reconstructing the neuronal structures from 3D image stacks collected by a laser scanning confocal microscope and shows that further analysis based on the reconstruction results can be performed to gather more information on the neural network.
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Correction of center of rotation and projection angle in synchrotron X-ray computed tomography.
TL;DR: This study involved designing an automatic method for efficiently correcting errors resulting from incorrectly determined rotational axes and projection angles, and minimization is accomplished by using the gradient descent method.
Journal ArticleDOI
Extraction of coronary arterial tree using cine X-ray angiograms
Chih-Yang Lin,Yu-Tai Ching +1 more
TL;DR: An efficient and robust method for identification of coronary arteries and evaluation of the severity of the stenosis on the routine X-ray angiograms is proposed.