Transfer Learning Assisted Classification and Detection of Alzheimer’s Disease Stages Using 3D MRI Scans
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Transfer Learning Assisted Classification and Detection of Alzheimer’s Disease Stages Using 3D MRI Scans
Authors
Keywords
-
Journal
SENSORS
Volume 19, Issue 11, Pages 2645
Publisher
MDPI AG
Online
2019-06-11
DOI
10.3390/s19112645
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multi-class Alzheimer's disease classification using image and clinical features
- (2018) Tooba Altaf et al. Biomedical Signal Processing and Control
- Ensemble-classifiers-assisted detection of cerebral microbleeds in brain MRI
- (2018) Tayyab Ateeq et al. COMPUTERS & ELECTRICAL ENGINEERING
- A dimensionality reduction-based efficient software fault prediction using Fisher linear discriminant analysis (FLDA)
- (2018) Anum Kalsoom et al. JOURNAL OF SUPERCOMPUTING
- Region-Based Convolutional Neural Nets for Localization of Glomeruli in Trichrome-Stained Whole Kidney Sections
- (2018) John D. Bukowy et al. JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY
- Detecting Early Preclinical Alzheimer's Disease via Cognition, Neuropsychiatry, and Neuroimaging: Qualitative Review and Recommendations for Testing
- (2018) Sylvie Belleville et al. JOURNAL OF ALZHEIMERS DISEASE
- Social media signal detection using tweets volume, hashtag, and sentiment analysis
- (2018) Faria Nazir et al. MULTIMEDIA TOOLS AND APPLICATIONS
- GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
- (2018) Maayan Frid-Adar et al. NEUROCOMPUTING
- Extraction of sulcal medial surface and classification of Alzheimer's disease using sulcal features
- (2016) Maciej Plocharski et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Laplace Beltrami eigen value based classification of normal and Alzheimer MR images using parametric and non-parametric classifiers
- (2016) Anandh Kilpattu Ramaniharan et al. EXPERT SYSTEMS WITH APPLICATIONS
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Feature-ranking-based Alzheimer’s disease classification from structural MRI
- (2016) Iman Beheshti et al. MAGNETIC RESONANCE IMAGING
- Alzheimer's disease diagnosis on structural MR images using circular harmonic functions descriptors on hippocampus and posterior cingulate cortex
- (2015) Olfa Ben Ahmed et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
- (2015) Hao Chen et al. IEEE Journal of Biomedical and Health Informatics
- Classification of Alzheimer’s disease subjects from MRI using hippocampal visual features
- (2014) Olfa Ben Ahmed et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO
- (2014) R. Guerrero et al. NEUROIMAGE
- Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease
- (2011) Andrea Chincarini et al. NEUROIMAGE
- Sensitivity and Specificity of Medial Temporal Lobe Visual Ratings and Multivariate Regional MRI Classification in Alzheimer's Disease
- (2011) Eric Westman et al. PLoS One
- Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset
- (2009) Chris Hinrichs et al. NEUROIMAGE
- Automatic classification of MR scans in Alzheimer's disease
- (2008) S. Kloppel et al. BRAIN
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started