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ORCIDRicardo José Ferrari
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2020 – today
- 2023
[j21]Lucas José Cruz de Mendonça
, Ricardo José Ferrari, Alzheimer's Disease Neuroimaging Initiative:
Alzheimer's disease classification based on graph kernel SVMs constructed with 3D texture features extracted from MR images. Expert Syst. Appl. 211: 118633 (2023)- 2022
- [j20]Katia Maria Poloni, Ricardo José Ferrari:
Automated detection, selection and classification of hippocampal landmark points for the diagnosis of Alzheimer's disease. Comput. Methods Programs Biomed. 214: 106581 (2022) - [j19]Katia Maria Poloni, Ricardo José Ferrari, Alzheimer's Disease Neuroimaging Initiative:
A deep ensemble hippocampal CNN model for brain age estimation applied to Alzheimer's diagnosis. Expert Syst. Appl. 195: 116622 (2022) - 2021
- [j18]Bruno César Gregório da Silva, Roger C. Tam, Ricardo José Ferrari:
Detecting cells in intravital video microscopy using a deep convolutional neural network. Comput. Biol. Medicine 129: 104133 (2021) - [j17]Katia Maria Poloni, Italo Antonio Duarte de Oliveira, Roger C. Tam, Ricardo José Ferrari, Alzheimer's Disease Neuroimaging Initiative:
Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses. Neurocomputing 419: 126-135 (2021) - [c19]Marcelo R. Moura Araújo, Katia Maria Poloni, Ricardo José Ferrari:
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. ICCSA (2) 2021: 18-33 - [c18]Fernando N. Frascá, Katia Maria Poloni, Ricardo José Ferrari:
Automatic Extraction of the Midsagittal Surface from T1-Weighted MR Brain Images Using a Multiscale Filtering Approach. ICCSA (2) 2021: 131-146 - 2020
- [c17]Italo Antonio Duarte de Oliveira, Katia Maria Poloni, Ricardo José Ferrari:
Exploring Hippocampal Asymmetrical Features from Magnetic Resonance Images for the Classification of Alzheimer's Disease. CBMS 2020: 59-64 - [c16]Paulo G. L. Freire, Marcos Hideki Idagawa, Enedina Maria Lobato de Oliveira, Nitamar Abdala, Henrique Carrete, Ricardo José Ferrari:
Classification of Active Multiple Sclerosis Lesions in MRI Without the Aid of Gadolinium-Based Contrast Using Textural and Enhanced Features from FLAIR Images. ICCSA (2) 2020: 60-74 - [c15]Matheus Müller Korb, Ricardo José Ferrari:
Automatic Positioning of Hippocampus Deformable Mesh Models in Brain MR Images Using a Weighted 3D-SIFT Technique. ICCSA (2) 2020: 75-90 - [c14]Bruno César Gregório da Silva, Ricardo José Ferrari:
Exploring Deep Convolutional Neural Networks as Feature Extractors for Cell Detection. ICCSA (2) 2020: 91-103
2010 – 2019
- 2019
- [j16]Paulo G. L. Freire, Ricardo José Ferrari:
Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images. Biomed. Signal Process. Control. 49: 338-348 (2019) - [j15]Bruno César Gregório da Silva, Juliana Carvalho-Tavares, Ricardo José Ferrari:
Detecting and tracking leukocytes in intravital video microscopy using a Hessian-based spatiotemporal approach. Multidimens. Syst. Signal Process. 30(2): 815-839 (2019) - 2018
- [c13]Paulo Guilherme de Lima Freire, Bruno César Gregório da Silva, Carlos Henrique Villa Pinto, Camilo Aparecido Ferri Moreira, Ricardo José Ferrari:
Midsaggital Plane Detection in Magnetic Resonance Images Using Phase Congruency, Hessian Matrix and Symmetry Information: A Comparative Study. ICCSA (1) 2018: 245-260 - [c12]Jonas de Carvalho Felinto, Katia Maria Poloni, Paulo Guilherme de Lima Freire, Jessica Bianca Aily, Aline Castilho de Almeida, Maria Gabriela Pedroso, Stela Márcia Mattiello, Ricardo José Ferrari:
Automatic Segmentation and Quantification of Thigh Tissues in CT Images. ICCSA (1) 2018: 261-276 - [c11]Katia Maria Poloni, Carlos Henrique Villa Pinto, Breno da Silveira Souza, Ricardo José Ferrari:
Construction and Application of a Probabilistic Atlas of 3D Landmark Points for Initialization of Hippocampus Mesh Models in Brain MR Images. ICCSA (1) 2018: 310-322 - [c10]Katia Maria Poloni, Ricardo José Ferrari:
Detection and Classification of Hippocampal Structural Changes in MR Images as a Biomarker for Alzheimer's Disease. ICCSA (1) 2018: 406-422 - [i1]Paulo Guilherme de Lima Freire, Ricardo José Ferrari:
Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images. CoRR abs/1807.09619 (2018) - 2016
- [j14]Paulo Guilherme de Lima Freire, Ricardo José Ferrari:
Automatic iterative segmentation of multiple sclerosis lesions using Student's t mixture models and probabilistic anatomical atlases in FLAIR images. Comput. Biol. Medicine 73: 10-23 (2016) - [j13]Carlos Henrique Villa Pinto, Ricardo José Ferrari:
Initialization of deformable models in 3D magnetic resonance images guided by automatically detected phase congruency point landmarks. Pattern Recognit. Lett. 79: 1-7 (2016) - [j12]Kathiani Elisa de Souza, Bruno César Gregório da Silva, Juliana Carvalho-Tavares, Ricardo José Ferrari:
Detecção de leucócitos em imagens de vídeo de microscopia intravital usando a técnica de congruência de fase. RITA 23(2): 33-50 (2016) - [c9]Ricardo José Ferrari, Carlos Henrique Villa Pinto, Camilo A. Ferri Moreira:
Detection of the midsagittal plane in MR images using a sheetness measure from eigenanalysis of local 3D phase congruency responses. ICIP 2016: 2335-2339 - 2015
- [j11]Ricardo José Ferrari, Carlos Henrique Villa Pinto, Bruno César Gregório da Silva, Danielle Bernardes, Juliana Carvalho-Tavares:
Automatic detection of motion blur in intravital video microscopy image sequences via directional statistics of log-Gabor energy maps. Medical Biol. Eng. Comput. 53(2): 151-163 (2015) - [j10]Carlos Henrique Villa Pinto, Bruno César Gregório da Silva, Paulo Guilherme de Lima Freire, Danielle Bernardes, Juliana Carvalho-Tavares, Ricardo José Ferrari:
Deconvolução Cega Aplicada à Correção de Artefatos de Movimento em Imagens de Vídeo de Microscopia Intravital para Detecção Automática de Leucócitos. RITA 22(1): 52-74 (2015) - [c8]Bruno César Gregório da Silva, Ricardo José Ferrari, Juliana Carvalho-Tavares:
Detection of Leukocytes in Intravital Video Microscopy Based on the Analysis of Hessian Matrix Eigenvalues. SIBGRAPI 2015: 345-352 - 2014
- [j9]Paulo Guilherme de Lima Freire, Ricardo José Ferrari:
Do multiple sclerosis lesions affect the outcome of magnetic resonance image registration? RITA 21(2): 47-63 (2014) - 2013
- [j8]Ricardo José Ferrari:
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. 51(1-2): 71-88 (2013) - 2011
- [j7]Ricardo José Ferrari, Stéphane Allaire, Andrew Hope, John J. Kim, David A. Jaffray, Vladimir Pekar:
Detection of point landmarks in 3D medical images via phase congruency model. J. Braz. Comput. Soc. 17(2): 117-132 (2011) - 2010
- [j6]Yuri Saito, Ricardo José Ferrari, Jefferson Teixeira, Paulo M. Azevedo-Marques, André C. P. L. F. de Carvalho, Antonio Carlos dos Santos:
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 17(1): 52-70 (2010)
2000 – 2009
- 2008
- [c7]Ricardo José Ferrari, Kimberley A. Hill, Donald B. Plewes, Anne L. Martel:
Can Bilateral Asymmetry Analysis of Breast MR Images Provide Additional Information for Detection of Breast Diseases? SIBGRAPI 2008: 113-120 - 2007
- [j5]Rangaraj M. Rangayyan, Ricardo José Ferrari, Annie France Frère:
Analysis of bilateral asymmetry in mammograms using directional, morphological, and density features. J. Electronic Imaging 16(1): 013003 (2007) - [j4]Ricardo José Ferrari, Hong Zhang, C. Ronald Kube:
Real-time detection of steam in video images. Pattern Recognit. 40(3): 1148-1159 (2007) - 2005
- [j3]Ricardo José Ferrari, Robin Winsor:
Digital Radiographic Image Denoising Via Wavelet-Based Hidden Markov Model Estimation. J. Digit. Imaging 18(2): 154-167 (2005) - 2004
- [j2]Ricardo José Ferrari, Rangaraj M. Rangayyan, J. E. Leo Desautels, R. A. Borges, Annie France Frère:
Automatic identification of the pectoral muscle in mammograms. IEEE Trans. Medical Imaging 23(2): 232-245 (2004) - 2003
- [c6]Yunyan Zhang, Hongmei Zhu, Ricardo José Ferrari, Xingchang Wei, Michael Eliasziw, Luanne M. Metz, Joseph Ross Mitchell:
Texture Analysis of MR Images of Minocycline Treated MS Patients. MICCAI (1) 2003: 786-793 - [c5]Ricardo José Ferrari, Xingchang Wei, Yunyan Zhang, James N. Scott, Joseph Ross Mitchell:
Segmentation of multiple sclerosis lesions using support vector machines. Medical Imaging: Image Processing 2003 - 2001
- [j1]Ricardo José Ferrari, Rangaraj M. Rangayyan, J. E. Leo Desautels, Annie France Frère:
Analysis of Asymmetry in Mammograms via Directional Filtering with Gabor Wavelets. IEEE Trans. Medical Imaging 20(9): 953-964 (2001) - 2000
- [c4]Sérgio Koodi Kinoshita, Paulo M. Azevedo-Marques, Annie France Frère, Heitor R. C. Marana, Ricardo José Ferrari, Roberto Rodrigues Pereira:
Comparative of shape and texture features in classifications of breast masses in digitized mammograms. Medical Imaging: Image Processing 2000 - [c3]Rangaraj M. Rangayyan, Ricardo José Ferrari, J. E. Leo Desautels, Annie France Frère:
Directional Analysis of Images with Gabor Wavelets. SIBGRAPI 2000: 170-177
1990 – 1999
- 1998
- [c2]Ricardo José Ferrari, Annie France Frère, P. M. A. Marques, S. K. Kinoshita, L. A. R. Spina, R. L. Villela:
Comparative Evaluation of Statistical Pattern Recognition Techniques for the Classification of Breast Lesions. Digital Mammography / IWDM 1998: 249-252 - [c1]S. K. Kinoshita, P. M. A. Marques, A. F. F. Slaets, Heitor R. C. Marana, Ricardo José Ferrari:
Detection and Characterization of Mammographic Masses by Artificial Neural Network. Digital Mammography / IWDM 1998: 489-490
Coauthor Index
aka: Paulo Guilherme de Lima Freire
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