| Data fusion based on Searchlight analysis for the prediction of Alzheimer’s disease | 1 | 0.37 | 2021 |
| Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities | 1 | 0.36 | 2021 |
| Hardware implementation of real-time pedestrian detection system | 0 | 0.34 | 2020 |
| Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning | 1 | 0.37 | 2020 |
| Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. | 17 | 0.77 | 2020 |
| Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer’s disease | 0 | 0.34 | 2020 |
| Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes. | 0 | 0.34 | 2019 |
| Comparison Between Affine And Non-Affine Transformations Applied To I-[123]-Fp-Cit Spect Images Used For Parkinson'S Disease Diagnosis | 0 | 0.34 | 2019 |
| Periodogram Connectivity Of Eeg Signals For The Detection Of Dyslexia | 0 | 0.34 | 2019 |
| Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks. | 1 | 0.36 | 2019 |
| Unilateral Sensorineural Hearing Loss Identification Based On Double-Density Dual-Tree Complex Wavelet Transform And Multinomial Logistic Regression | 2 | 0.38 | 2019 |
| Isosurface Modelling Of Datscan Images For Parkinson Disease Diagnosis | 0 | 0.34 | 2019 |
| Support Vector Machine Failure In Imbalanced Datasets | 0 | 0.34 | 2019 |
| Classification Improvement for Parkinson's Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images. | 0 | 0.34 | 2018 |
| Convolutional Neural Networks For Neuroimaging In Parkinson'S Disease: Is Preprocessing Needed? | 1 | 0.36 | 2018 |
| Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder. | 0 | 0.34 | 2018 |
| Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders. | 1 | 0.35 | 2018 |
| Automated non-mass enhancing lesion detection and segmentation in breast DCE-MRI. | 1 | 0.38 | 2018 |
| A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI. | 0 | 0.34 | 2017 |
| Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases. | 1 | 0.36 | 2017 |
| Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology. | 0 | 0.34 | 2017 |
| Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes. | 0 | 0.34 | 2017 |
| Preliminary Study on Unilateral Sensorineural Hearing Loss Identification via Dual-Tree Complex Wavelet Transform and Multinomial Logistic Regression. | 3 | 0.37 | 2017 |
| A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease. | 5 | 0.42 | 2017 |
| Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images. | 0 | 0.34 | 2017 |
| Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression. | 0 | 0.34 | 2017 |
| On a Heavy-Tailed Intensity Normalization of the Parkinson's Progression Markers Initiative Brain Database. | 2 | 0.36 | 2017 |
| Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis. | 0 | 0.34 | 2017 |
| Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism. | 2 | 0.40 | 2017 |
| Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease. | 2 | 0.38 | 2017 |
| A proposed computer-aided diagnosis system for Parkinson's disease classification using 123I-FP-CIT imaging. | 0 | 0.34 | 2017 |
| Ensembles Of Deep Learning Architectures For The Early Diagnosis Of The Alzheimer'S Disease | 45 | 1.23 | 2016 |
| Using frequency analysis to improve the precision of human body posture algorithms based on Kalman filters | 4 | 0.45 | 2016 |
| Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning. | 15 | 0.64 | 2016 |
| Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow. | 0 | 0.34 | 2016 |
| Multiclass classification of 18F-DMFP-PET data to assist the diagnosis of parkinsonism. | 0 | 0.34 | 2016 |
| Improving short-term prediction from MCI to AD by applying searchlight analysis | 0 | 0.34 | 2016 |
| Intensity Normalization Of (123) I-Ioflupane-Spect Brain Images Using A Model-Based Multivariate Linear Regression Approach | 0 | 0.34 | 2015 |
| Independent Component Analysis-Based Classification Of Alzheimer'S Disease From Segmented Mri Data | 2 | 0.37 | 2015 |
| Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis. | 8 | 0.58 | 2015 |
| Un résumeur à base de graphes, indépéndant de la langue. | 0 | 0.34 | 2015 |
| Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks. | 4 | 0.52 | 2015 |
| Early diagnosis of Alzheimer's disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images. | 41 | 1.40 | 2015 |
| Digital image analysis for automatic enumeration of malaria parasites using morphological operations | 9 | 0.74 | 2015 |
| A Volumetric Radial Lbp Projection Of Mri Brain Images For The Diagnosis Of Alzheimer'S Disease | 1 | 0.36 | 2015 |
| A Posterization Strategy for the Registration of [123I]FP-CIT SPECT Brain Images. | 0 | 0.34 | 2015 |
| Intensity normalization of DaTSCAN SPECT imaging using a model-based clustering approach | 7 | 0.53 | 2015 |
| Identifying endophenotypes of autism: a multivariate approach. | 1 | 0.35 | 2014 |
| Why using the alpha-stable distribution in neuroimage? | 0 | 0.34 | 2014 |
| Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach. | 4 | 0.41 | 2014 |
