Q
Qian Wang
Researcher at Shanghai Jiao Tong University
Publications - 223
Citations - 8082
Qian Wang is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Image registration & Segmentation. The author has an hindex of 38, co-authored 213 publications receiving 5555 citations. Previous affiliations of Qian Wang include Siemens & University of North Carolina at Chapel Hill.
Papers
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Journal ArticleDOI
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19
Feng Shi,Jun Wang,Jun Shi,Ziyan Wu,Qian Wang,Zhenyu Tang,Kelei He,Yinghuan Shi,Dinggang Shen +8 more
TL;DR: This review paper covers the entire pipeline of medical imaging and analysis techniques involved with COVID-19, including image acquisition, segmentation, diagnosis, and follow-up, and particularly focuses on the integration of AI with X-ray and CT, both of which are widely used in the frontline hospitals.
Book ChapterDOI
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
TL;DR: Wang et al. as mentioned in this paper trained a fully convolutional network (FCN) to generate CT given the MR image, and applied Auto-Context Model (ACM) to implement a context-aware generative adversarial network.
Journal ArticleDOI
Medical Image Synthesis with Deep Convolutional Adversarial Networks
TL;DR: This paper trains a fully convolutional network to generate a target image given a source image and proposes to use the adversarial learning strategy to better model the FCN, designed to incorporate an image-gradient-difference-based loss function to avoid generating blurry target images.
Journal ArticleDOI
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning
TL;DR: A learning-based image registration framework is proposed that uses deep learning to discover compact and highly discriminative features upon observed imaging data that scales well to new image modalities or new image applications with little to no human intervention.
Journal ArticleDOI
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
Feng Shi,Jun Wang,Jun Shi,Ziyan Wu,Qian Wang,Zhenyu Tang,Kelei He,Yinghuan Shi,Dinggang Shen +8 more
TL;DR: In this article, the authors reviewed the rapid responses in the community of medical imaging (empowered by AI) toward COVID-19, including image acquisition, segmentation, diagnosis, and follow-up.