3D Convolutional Neural Networks for Classification of Alzheimer’s and Parkinson’s Disease with T1-Weighted Brain MRI
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P. Thompson | G. V. Steeg | J. Ambite | P. Cook | D. Weintraub | C. McMillan | S. Thomopoulos | Conor Owens-Walton | N. Dhinagar | Dimitris Stripelis
[1] Jerry L Prince,et al. Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory , 2021, NeuroImage.
[2] Joanna K. Bright,et al. International Multicenter Analysis of Brain Structure Across Clinical Stages of Parkinson's Disease , 2021, Movement disorders : official journal of the Movement Disorder Society.
[3] Paul M. Thompson,et al. Membership Inference Attacks on Deep Regression Models for Neuroimaging , 2021, MIDL.
[4] N. Jahanshad,et al. Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization , 2021, bioRxiv.
[5] Greg Ver Steeg,et al. Improved Brain Age Estimation With Slice-Based Set Networks , 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).
[6] Paul M. Thompson,et al. 3D Grid-Attention Networks for Interpretable Age and Alzheimer's Disease Prediction from Structural MRI. , 2020, 2011.09115.
[7] Paul M. Thompson,et al. A Practical Alzheimer Disease Classifier via Brain Imaging-Based Deep Learning on 85,721 Samples , 2020, bioRxiv.
[8] Paul M. Thompson,et al. Accurate brain age prediction using recurrent slice-based networks , 2020, bioRxiv.
[9] Joseph Paul Cohen,et al. Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction , 2020, PRIME@MICCAI.
[10] Joanna K. Bright,et al. An International Multicenter Analysis of Brain Structure across Clinical Stages of Parkinson's Disease: The ENIGMA-Parkinson's Study , 2020, medRxiv.
[11] Andrea Vedaldi,et al. Accurate brain age prediction with lightweight deep neural networks , 2019, bioRxiv.
[12] Irene Cheng,et al. Assessing the Capability of Deep-Learning Models in Parkinson's Disease Diagnosis , 2019, ICSM.
[13] Luca Citi,et al. Generalization Performance of Deep Learning Models in Neurodegenerative Disease Classification , 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[14] C. M. Sujatha,et al. Deep learning based diagnosis of Parkinson’s disease using convolutional neural network , 2019, Multimedia Tools and Applications.
[15] David Bonekamp,et al. Automated brain extraction of multisequence MRI using artificial neural networks , 2019, Human brain mapping.
[16] Jyoti Islam,et al. A Novel Deep Learning Based Multi-class Classification Method for Alzheimer's Disease Detection Using Brain MRI Data , 2017, BI.
[17] Andriy Fedorov,et al. Computational Radiomics System to Decode the Radiographic Phenotype. , 2017, Cancer research.
[18] Nick C Fox,et al. Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2 , 2015, Alzheimer's & Dementia.
[19] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[20] Arno Klein,et al. Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements , 2014, NeuroImage.
[21] Brian B. Avants,et al. N4ITK: Improved N3 Bias Correction , 2010, IEEE Transactions on Medical Imaging.
[22] André L. V. Coelho,et al. Classification with Imbalanced Data , 2015 .
[23] P. Rabins,et al. Dementia , 2008, Annals of Internal Medicine.
[24] W. Youden,et al. Index for rating diagnostic tests , 1950, Cancer.