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Human Brain Mapping
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September 12, 2019
Quantifying brain metabolism from FDG-PET images into a probability of Alzheimer's dementia score
Evangeline Yee, Karteek Popuri, Mirza Faisal Beg, et al.
Journal of Alzheimer'S Disease : JAD
|
November 30, 2020
Construction of MRI-Based Alzheimer's Disease Score Based on Efficient 3D Convolutional Neural Network: Comprehensive Validation on 7,902 Images from a Multi-Center Dataset
Evangeline Yee, Da Ma, Karteek Popuri, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
November 28, 2021
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation
Evangeline Yee, Da Ma, Karteek Popuri, et al.
Journal of Alzheimer'S Disease : JAD
|
February 13, 2021
Blinded Clinical Evaluation for Dementia of Alzheimer's Type Classification Using FDG-PET: A Comparison Between Feature-Engineered and Non-Feature-Engineered Machine Learning Methods
Da Ma, Evangeline Yee, Jane K Stocks, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Human Brain Mapping
|
September 12, 2019
Quantifying brain metabolism from FDG-PET images into a probability of Alzheimer's dementia score
Evangeline Yee, Karteek Popuri, Mirza Faisal Beg, et al.
Journal of Alzheimer'S Disease : JAD
|
November 30, 2020
Construction of MRI-Based Alzheimer's Disease Score Based on Efficient 3D Convolutional Neural Network: Comprehensive Validation on 7,902 Images from a Multi-Center Dataset
Evangeline Yee, Da Ma, Karteek Popuri, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
November 28, 2021
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation
Evangeline Yee, Da Ma, Karteek Popuri, et al.
Journal of Alzheimer'S Disease : JAD
|
February 13, 2021
Blinded Clinical Evaluation for Dementia of Alzheimer's Type Classification Using FDG-PET: A Comparison Between Feature-Engineered and Non-Feature-Engineered Machine Learning Methods
Da Ma, Evangeline Yee, Jane K Stocks, et al.
Page
of 1