Comparative Evaluation of Statistical Pattern Recognition Techniques for the Classification of Breast Lesions. - Ricardo José Ferrari; Annie France Frère; P. M. A. Marques; S. K. Kinoshita; L. A. R. Spina; R. L. Villela (Digital Mammography / IWDM, 1998)

Detection and Characterization of Mammographic Masses by Artificial Neural Network. - S. K. Kinoshita; P. M. A. Marques; A. F. F. Slaets; Heitor R. C. Marana; Ricardo José Ferrari (Digital Mammography / IWDM, 1998)

Comparative of shape and texture features in classifications of breast masses in digitized mammograms. - Sérgio Koodi Kinoshita; Paulo M. Azevedo-Marques; Annie France Frère; Heitor R. C. Marana; Ricardo José Ferrari; Roberto Rodrigues Pereira (Image Processing, 2000)

Directional Analysis of Images with Gabor Wavelets. - Rangaraj M. Rangayyan; Ricardo José Ferrari; J. E. Leo Desautels; Annie France Frère (SIBGRAPI, 2000)

Analysis of Asymmetry in Mammograms via Directional Filtering with Gabor Wavelets. - Ricardo José Ferrari; Rangaraj M. Rangayyan; J. E. Leo Desautels; Annie France Frère (IEEE Trans. Medical Imaging, 2001)

Texture Analysis of MR Images of Minocycline Treated MS Patients. - Yunyan Zhang; Hongmei Zhu; Ricardo José Ferrari; Xingchang Wei; Michael Eliasziw; Luanne M. Metz; Joseph Ross Mitchell (MICCAI (1), 2003)

Segmentation of multiple sclerosis lesions using support vector machines. - Ricardo José Ferrari; Xingchang Wei; Yunyan Zhang; James N. Scott; Joseph Ross Mitchell (Image Processing, 2003)

Automatic identification of the pectoral muscle in mammograms. - Ricardo José Ferrari; Rangaraj M. Rangayyan; J. E. Leo Desautels; R. A. Borges; Annie France Frère (IEEE Trans. Medical Imaging, 2004)

Digital Radiographic Image Denoising Via Wavelet-Based Hidden Markov Model Estimation. - Ricardo José Ferrari; Robin Winsor (J. Digit. Imaging, 2005)

Analysis of bilateral asymmetry in mammograms using directional, morphological, and density features. - Rangaraj M. Rangayyan; Ricardo José Ferrari; Annie France Frère (J. Electronic Imaging, 2007)

Real-time detection of steam in video images. - Ricardo José Ferrari; Hong Zhang 013; C. Ronald Kube (Pattern Recognit., 2007)

Can Bilateral Asymmetry Analysis of Breast MR Images Provide Additional Information for Detection of Breast Diseases? - Ricardo José Ferrari; Kimberley A. Hill; Donald B. Plewes; Anne L. Martel (SIBGRAPI, 2008)

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. - Yuri Saito; Ricardo José Ferrari; Jefferson Teixeira; Paulo M. Azevedo-Marques; André C. P. L. F. de Carvalho; Antonio Carlos dos Santos (RITA, 2010)

Detection of point landmarks in 3D medical images via phase congruency model. - Ricardo José Ferrari; Stéphane Allaire; Andrew Hope; John J. Kim; David A. Jaffray; Vladimir Pekar (J. Braz. Comput. Soc., 2011)

Off-line determination of the optimal number of iterations of the robust anisotropic diffusion filter applied to denoising of brain MR images. - Ricardo José Ferrari (Medical Biol. Eng. Comput., 2013)

Do multiple sclerosis lesions affect the outcome of magnetic resonance image registration? - Paulo Guilherme de Lima Freire; Ricardo José Ferrari (RITA, 2014)

Detection of Leukocytes in Intravital Video Microscopy Based on the Analysis of Hessian Matrix Eigenvalues. - Bruno César Gregório da Silva; Ricardo José Ferrari; Juliana Carvalho-Tavares (SIBGRAPI, 2015)

Automatic detection of motion blur in intravital video microscopy image sequences via directional statistics of log-Gabor energy maps. - Ricardo José Ferrari; Carlos Henrique Villa Pinto; Bruno César Gregório da Silva; Danielle Bernardes; Juliana Carvalho-Tavares (Medical Biol. Eng. Comput., 2015)

Deconvolução Cega Aplicada à Correção de Artefatos de Movimento em Imagens de Vídeo de Microscopia Intravital para Detecção Automática de Leucócitos. - Carlos Henrique Villa Pinto; Bruno César Gregório da Silva; Paulo Guilherme de Lima Freire; Danielle Bernardes; Juliana Carvalho-Tavares; Ricardo José Ferrari (RITA, 2015)

Detection of the midsagittal plane in MR images using a sheetness measure from eigenanalysis of local 3D phase congruency responses. - Ricardo José Ferrari; Carlos Henrique Villa Pinto; Camilo A. Ferri Moreira (ICIP, 2016)

Automatic iterative segmentation of multiple sclerosis lesions using Student's t mixture models and probabilistic anatomical atlases in FLAIR images. - Paulo Guilherme de Lima Freire; Ricardo José Ferrari (Comput. Biol. Medicine, 2016)

Initialization of deformable models in 3D magnetic resonance images guided by automatically detected phase congruency point landmarks. - Carlos Henrique Villa Pinto; Ricardo José Ferrari (Pattern Recognit. Lett., 2016)

Detecção de leucócitos em imagens de vídeo de microscopia intravital usando a técnica de congruência de fase. - Kathiani Elisa de Souza; Bruno César Gregório da Silva; Juliana Carvalho-Tavares; Ricardo José Ferrari (RITA, 2016)

Automatic Segmentation and Quantification of Thigh Tissues in CT Images. - 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 (ICCSA (1), 2018)

Midsaggital Plane Detection in Magnetic Resonance Images Using Phase Congruency, Hessian Matrix and Symmetry Information: A Comparative Study. - Paulo Guilherme de Lima Freire; Bruno César Gregório da Silva; Carlos Henrique Villa Pinto; Camilo Aparecido Ferri Moreira; Ricardo José Ferrari (ICCSA (1), 2018)

Detection and Classification of Hippocampal Structural Changes in MR Images as a Biomarker for Alzheimer's Disease. - Katia Maria Poloni; Ricardo José Ferrari (ICCSA (1), 2018)

Construction and Application of a Probabilistic Atlas of 3D Landmark Points for Initialization of Hippocampus Mesh Models in Brain MR Images. - Katia Maria Poloni; Carlos Henrique Villa Pinto; Breno da Silveira Souza; Ricardo José Ferrari (ICCSA (1), 2018)

Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images. - Paulo G. L. Freire; Ricardo José Ferrari (Biomed. Signal Process. Control., 2019)

Detecting and tracking leukocytes in intravital video microscopy using a Hessian-based spatiotemporal approach. - Bruno César Gregório da Silva; Juliana Carvalho-Tavares; Ricardo José Ferrari (Multidimens. Syst. Signal Process., 2019)

Exploring Hippocampal Asymmetrical Features from Magnetic Resonance Images for the Classification of Alzheimer's Disease. - Italo Antonio Duarte de Oliveira; Katia Maria Poloni; Ricardo José Ferrari (CBMS, 2020)

Classification of Active Multiple Sclerosis Lesions in MRI Without the Aid of Gadolinium-Based Contrast Using Textural and Enhanced Features from FLAIR Images. - Paulo G. L. Freire; Marcos Hideki Idagawa; Enedina Maria Lobato de Oliveira; Nitamar Abdala; Henrique Carrete; Ricardo José Ferrari (ICCSA (2), 2020)

Automatic Positioning of Hippocampus Deformable Mesh Models in Brain MR Images Using a Weighted 3D-SIFT Technique. - Matheus Müller Korb; Ricardo José Ferrari (ICCSA (2), 2020)

Exploring Deep Convolutional Neural Networks as Feature Extractors for Cell Detection. - Bruno César Gregório da Silva; Ricardo José Ferrari (ICCSA (2), 2020)

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. - Marcelo R. Moura Araújo; Katia Maria Poloni; Ricardo José Ferrari (ICCSA (2), 2021)

Automatic Extraction of the Midsagittal Surface from T1-Weighted MR Brain Images Using a Multiscale Filtering Approach. - Fernando N. Frascá; Katia Maria Poloni; Ricardo José Ferrari (ICCSA (2), 2021)

Detecting cells in intravital video microscopy using a deep convolutional neural network. - Bruno César Gregório da Silva; Roger C. Tam; Ricardo José Ferrari (Comput. Biol. Medicine, 2021)

Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses. - Katia Maria Poloni; Italo Antonio Duarte de Oliveira; Roger C. Tam; Ricardo José Ferrari; Alzheimer's Disease Neuroimaging Initiative (Neurocomputing, 2021)

Automated detection, selection and classification of hippocampal landmark points for the diagnosis of Alzheimer's disease. - Katia Maria Poloni; Ricardo José Ferrari (Comput. Methods Programs Biomed., 2022)

A deep ensemble hippocampal CNN model for brain age estimation applied to Alzheimer's diagnosis. - Katia Maria Poloni; Ricardo José Ferrari; Alzheimer's Disease Neuroimaging Initiative (Expert Syst. Appl., 2022)

Alzheimer's disease classification based on graph kernel SVMs constructed with 3D texture features extracted from MR images. - Lucas José Cruz de Mendonça; Ricardo José Ferrari; Alzheimer's Disease Neuroimaging Initiative (Expert Syst. Appl., 2023)

Editorial: Deep learning and neuroimage processing in understanding neurological diseases. - Joana Carvalho; Ali Abdollahzadeh; Ricardo José Ferrari (Frontiers Comput. Neurosci., 2024)

A Multi-Region Framework for Alzheimer's Disease Classification Based on Displacement Vector Field Statistics and Jacobian Determinants. - Leandro Prado de Andrade; Mario Augusto de Souza Lizier; Ricardo José Ferrari (CBMS, 2025)

Parietal Atrophy Analysis in Alzheimer's Disease: Automation via MRI Features and Clustering Methods. - Yasmin Victoria Oliveira; Ricardo José Ferrari (CBMS, 2025)