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Feng Shi

Researcher at Cedars-Sinai Medical Center

Publications -  233
Citations -  13408

Feng Shi is an academic researcher from Cedars-Sinai Medical Center. The author has contributed to research in topics: Segmentation & Computer science. The author has an hindex of 52, co-authored 216 publications receiving 9856 citations. Previous affiliations of Feng Shi include University of Alberta & University of North Carolina at Chapel Hill.

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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, +438 more
- 05 Nov 2018 - 
TL;DR: This study assesses the state-of-the-art machine learning methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018, and investigates the challenge of identifying the best ML algorithms for each of these tasks.
Journal ArticleDOI

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

Feng Shi, +8 more
- 01 Jan 2021 - 
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.
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Infant brain atlases from neonates to 1- and 2-year-olds.

Feng Shi, +6 more
- 14 Apr 2011 - 
TL;DR: It is expected that the proposed infant 0–1–2 brain atlases would be significantly conducive to structural and functional studies of the infant brains.
Journal ArticleDOI

Hippocampal volume and asymmetry in mild cognitive impairment and Alzheimer's disease: Meta-analyses of MRI studies.

Feng Shi, +4 more
- 01 Nov 2009 - 
TL;DR: The findings show a bilateral hippocampal volume loss in MCI and the extent of atrophy is less than that in AD, and a consistent left‐less‐than‐right asymmetry pattern is found.
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Longitudinal Development of Cortical and Subcortical Gray Matter from Birth to 2 Years

John H. Gilmore, +9 more
- 01 Nov 2012 - 
TL;DR: It is likely that patterns of regional gray matter growth reflect maturation and development of underlying function, as they are consistent with cognitive and functional development in the first years of life.