Feng Shi

Affiliations: 
Cedars Sinai Medical Center 
Area:
Machine Learning, Medical Image Analysis
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"Feng Shi"
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Parents

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Tianzi Jiang grad student 2002-2008 Institute of Automation, CAS
Dinggang Shen post-doc 2008-2013 University of North Carolina at Chapel Hill School of Medicine (Computer Science Tree)
Debiao Li research scientist 2016- UCLA (BME Tree)
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Publications

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Sun Y, Gu Y, Shi F, et al. (2023) Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 111: 102319
Liu M, Zhang J, Wang Y, et al. (2023) A common spectrum underlying brain disorders across lifespan revealed by deep learning on brain networks. Iscience. 26: 108244
Jin L, Sun T, Liu X, et al. (2023) A multi-center performance assessment for automated histopathological classification and grading of glioma using whole slide images. Iscience. 26: 108041
Gao X, Shi F, Shen D, et al. (2023) Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer's disease. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 110: 102303
Zhang J, Wu J, Zhou XS, et al. (2023) Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches. Seminars in Cancer Biology. 96: 11-25
Li C, Liu M, Xia J, et al. (2023) Individualized assessment of brain Aβ deposition with fMRI using deep learning. Ieee Journal of Biomedical and Health Informatics
Gao X, Liu H, Shi F, et al. (2023) Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease. Ieee Journal of Biomedical and Health Informatics
Wu J, Xia Y, Wang X, et al. (2023) uRP: An integrated research platform for one-stop analysis of medical images. Frontiers in Radiology. 3: 1153784
Liao S, Mo Z, Zeng M, et al. (2023) Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction. Cell Reports. Medicine. 4: 101119
Liu M, Zhang H, Shi F, et al. (2023) Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. Ieee Transactions On Neural Networks and Learning Systems
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