Yuchuan Qiao-Institute of Science and Technology for Brain-inspired Intelligence

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Research

Yuchuan Qiao
Research Direction：Image registration and its clinical applications, medical image analysis based on dMRI, PET and T1/T2 MRI for Alzheimer’s disease
Email：yuchuanqiao@fudan.edu.cn
Website：https://faculty.fudan.edu.cn/qiaoyuchuan/zh_CN/index.htm

Brief Introduction：Dr. Yuchuan Qiao is an Associate Professor/Principle Investigator at Fudan University, Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI). He obtained his bachelor’s degree and master’s degree in Hunan University. In 2012, he went to the Netherlands to study medical image analysis at LUMC, Leiden University. From 2017 to 2021, he worked as a postdoc researcher in University of Southern California. From September 2021, he started as an associate professor in ISTBI, Fudan University. His researcher interests including image registration and its application, medical image analysis based on dMRI, PET and T1/T2 MRI image for Alzheimer’s disease. He had published 5 top journal papers as first author or corresponding author and 4 top conference papers. Recently, he is a principle investigator of one youth project from NSFC.
Achievement：

1.Y. Qiao, and Y. Shi, “Unsupervised Deep Learning for FOD-Based Susceptibility Distortion Correction in Diffusion MRI," IEEE Transactions on Medical Imaging, 10.1109/TMI.2021.3134496, Dec. 2021. (中科院一区，影响因子10.048)

2.Y. Qiao, W. Sun and Y. Shi, “FOD-based Registration for Susceptibility Distortion Correction in ConnectomeImaging," NeuroImage, 202, p.116164. 2019. (中科院一区，影响因子6.556)

3.W. Sun, Y. Tang,Y. Qiao, et al.. “A probabilistic atlas of locus coeruleus pathways to transentorhinal cortex for connectome imaging in Alzheimer's disease," NeuroImage, 117301. 2020.(共同一作，中科院一区，影响因子6.556)

4.Y. Qiao, B.P.F. Lelieveldt and M. Staring, “An Efficient Preconditioner for Stochastic Gradient Descent Optimization of Image Registration," IEEE Transactions on Medical Imaging, vol. 38, no. 10, pp. 2314-2325,Oct. 2019. (中科院一区，影响因子10.048)

5.Y. Qiao, T. Jagt, M. Hoogeman, B.P.F. Lelieveldt and M. Staring, “Evaluation of an open source registration package for automatic contour propagation in online adaptive intensity-modulated proton therapy of prostatecancer," Frontiers in Oncology, 9 (2019): 1297. (中科院二区，影响因子6.244)

6.Y. Qiao, B. van Lew, B.P.F. Lelieveldt and M. Staring, “Fast Automatic Step Size Estimation for Gradient Descent Optimization of Image Registration," IEEE Transactions on Medical Imaging, vol. 35 (2), pp. 391-403,2016. (中科院一区，影响因子10.048)