Ricardo José Ferrari
Orcid: 0000-0003-1197-2553
According to our database1,
Ricardo José Ferrari
authored at least 41 papers
between 1998 and 2024.
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Bibliography
2024
Editorial: Deep learning and neuroimage processing in understanding neurological diseases.
Frontiers Comput. Neurosci., 2024
2023
Alzheimer's disease classification based on graph kernel SVMs constructed with 3D texture features extracted from MR images.
Expert Syst. Appl., 2023
2022
A deep ensemble hippocampal CNN model for brain age estimation applied to Alzheimer's diagnosis.
Expert Syst. Appl., 2022
Automated detection, selection and classification of hippocampal landmark points for the diagnosis of Alzheimer's disease.
Comput. Methods Programs Biomed., 2022
2021
Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses.
Neurocomputing, 2021
Detecting cells in intravital video microscopy using a deep convolutional neural network.
Comput. Biol. Medicine, 2021
Automatic Extraction of the Midsagittal Surface from T1-Weighted MR Brain Images Using a Multiscale Filtering Approach.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
Assessment of Linear and Non-linear Feature Projections for the Classification of 3-D MR Images on Cognitively Normal, Mild Cognitive Impairment and Alzheimer's Disease.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
2020
Exploring Deep Convolutional Neural Networks as Feature Extractors for Cell Detection.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Automatic Positioning of Hippocampus Deformable Mesh Models in Brain MR Images Using a Weighted 3D-SIFT Technique.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Classification of Active Multiple Sclerosis Lesions in MRI Without the Aid of Gadolinium-Based Contrast Using Textural and Enhanced Features from FLAIR Images.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Exploring Hippocampal Asymmetrical Features from Magnetic Resonance Images for the Classification of Alzheimer's Disease.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
2019
Detecting and tracking leukocytes in intravital video microscopy using a Hessian-based spatiotemporal approach.
Multidimens. Syst. Signal Process., 2019
Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images.
Biomed. Signal Process. Control., 2019
2018
Construction and Application of a Probabilistic Atlas of 3D Landmark Points for Initialization of Hippocampus Mesh Models in Brain MR Images.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018
Detection and Classification of Hippocampal Structural Changes in MR Images as a Biomarker for Alzheimer's Disease.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018
Midsaggital Plane Detection in Magnetic Resonance Images Using Phase Congruency, Hessian Matrix and Symmetry Information: A Comparative Study.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018
2016
Detecção de leucócitos em imagens de vídeo de microscopia intravital usando a técnica de congruência de fase.
RITA, 2016
Initialization of deformable models in 3D magnetic resonance images guided by automatically detected phase congruency point landmarks.
Pattern Recognit. Lett., 2016
Automatic iterative segmentation of multiple sclerosis lesions using Student's t mixture models and probabilistic anatomical atlases in FLAIR images.
Comput. Biol. Medicine, 2016
Detection of the midsagittal plane in MR images using a sheetness measure from eigenanalysis of local 3D phase congruency responses.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
Deconvolução Cega Aplicada à Correção de Artefatos de Movimento em Imagens de Vídeo de Microscopia Intravital para Detecção Automática de Leucócitos.
RITA, 2015
Automatic detection of motion blur in intravital video microscopy image sequences via directional statistics of log-Gabor energy maps.
Medical Biol. Eng. Comput., 2015
Detection of Leukocytes in Intravital Video Microscopy Based on the Analysis of Hessian Matrix Eigenvalues.
Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015
2014
Do multiple sclerosis lesions affect the outcome of magnetic resonance image registration?
RITA, 2014
2013
Off-line determination of the optimal number of iterations of the robust anisotropic diffusion filter applied to denoising of brain MR images.
Medical Biol. Eng. Comput., 2013
2011
J. Braz. Comput. Soc., 2011
2010
Modelo Estatístico para a Determinação do Número Ótimo de Iterações do Filtro de Difusão Anisotrópica Aplicado à Redução de Ruído de Imagens de Ressonância Magnética do Cérebro.
RITA, 2010
2008
Can Bilateral Asymmetry Analysis of Breast MR Images Provide Additional Information for Detection of Breast Diseases?
Proceedings of the SIBGRAPI 2008, 2008
2007
Analysis of bilateral asymmetry in mammograms using directional, morphological, and density features.
J. Electronic Imaging, 2007
2005
Digital Radiographic Image Denoising Via Wavelet-Based Hidden Markov Model Estimation.
J. Digit. Imaging, 2005
2004
IEEE Trans. Medical Imaging, 2004
2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
2001
IEEE Trans. Medical Imaging, 2001
2000
Proceedings of the 13th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2000), 2000
Comparative of shape and texture features in classifications of breast masses in digitized mammograms.
Proceedings of the Medical Imaging 2000: Image Processing, 2000
1998
Proceedings of the Digital Mammography, 1998
Comparative Evaluation of Statistical Pattern Recognition Techniques for the Classification of Breast Lesions.
Proceedings of the Digital Mammography, 1998