Paulo Mazzoncini de Azevedo Marques

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Classification of vertebral compression fractures in magnetic resonance images using spectral and fractal analysis

Rangaraj M. Rangayyan, Marcello Henrique Nogueira-Barbosa, Paulo Mazzoncini de Azevedo Marques, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Recognition of vertebral compression fractures in magnetic resonance images using statistics of height and width

Rangaraj M. Rangayyan, Marcello Henrique Nogueira-Barbosa, Paulo Mazzoncini de Azevedo Marques, 2016, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

An Educational Multi-Channel Testbed for Synthetic Aperture Techniques

Paulo Mazzoncini de Azevedo Marques, Angela Lazaro, José Antonio Hiesinger Rodrigues, 2008 .

Content-based Retrieval of Medical Images: Landmarking, Indexing, and Relevance Feedback

Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo Marques, R. Rangayyan, 2013, Content-based Retrieval of Medical Images: Landmarking, Indexing, and Relevance Feedback.

Artificial intelligence, machine learning, computer-aided diagnosis, and radiomics: advances in imaging towards to precision medicine

Paulo Mazzoncini de Azevedo Marques, Marcel Koenigkam Santos, José Raniery Ferreira Júnior, 2019, Radiologia brasileira.

Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.

Segmentation and analysis of the tissue composition of dermatological ulcers

Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo Marques, Éderson A. G. Dorileo, 2010, CCECE 2010.

The Metric Histogram: A New and Efficient Approach for Content-based Image Retrieval

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2002, VDB.

Characterization of Pulmonary Nodules Based on Features of Margin Sharpness and Texture

Paulo Mazzoncini de Azevedo Marques, Marcelo Costa Oliveira, José Raniery Ferreira, 2018, Journal of Digital Imaging.

Detection of the nipple in mammograms with Gabor filters and the Radon transform

Rangaraj M. Rangayyan, Niranjan Khandelwal, Sudipta Mukhopadhyay, 2015, Biomed. Signal Process. Control..

Validation of Tsallis Entropy In Inter-Modality Neuroimage Registration pdf

Paulo Mazzoncini de Azevedo Marques, V. B. Surya Prasath, Henrique Tomaz Amaral-Silva, 2016, ArXiv.

HEAD: The Human Encephalon Automatic Delimiter

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2007, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07).

Content-based image retrieval in mammography: using texture features for correlation with BI-RADS categories

Paulo Mazzoncini de Azevedo Marques, José Antonio Hiesinger Rodrigues, Marcelo Ossamu Honda, 2003 .

Blockchain Based Network for Tuberculosis: A Data Sharing Initiative in Brazil

Paulo Mazzoncini de Azevedo Marques, Rui Rijo, Domingos Alves, 2019, ICIMTH.

PRoSPer: Perceptual similarity queries in medical CBIR systems through user profiles

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2014, Comput. Biol. Medicine.

Comparing images with distance functions based on attribute interaction

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2006, SAC '06.

Characterization and pattern recognition of color images of dermatological ulcers - a pilot study

Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo Marques, Marco Andrey Cipriani Frade, 2014, Comput. Sci. J. Moldova.

How to Improve Medical Image Diagnosis through Association Rules: The IDEA Method

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

Classification of Color Images of Dermatological Ulcers

Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo Marques, Marco Andrey Cipriani Frade, 2013, IEEE Journal of Biomedical and Health Informatics.

Integrating RIS/PACS: The Web-based Solution at University Hospital of Ribeirão Preto, Brazil

Paulo Mazzoncini de Azevedo Marques, Edilson Carlos Caritá, Alexander Antonio Benedicto, 2004, Journal of Digital Imaging.

SuGAR: A Framework to Support Mammogram Diagnosis

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2007, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07).

Comparative of shape and texture features in classifications of breast masses in digitized mammograms

Paulo Mazzoncini de Azevedo Marques, Ricardo José Ferrari, Annie France Frère, 2000, Medical Imaging: Image Processing.

An Association Rule-Based Method to Support Medical Image Diagnosis With Efficiency

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2008, IEEE Transactions on Multimedia.

Grid computing to make viable the content based medical image retrieval through the image registration techniques

Paulo Mazzoncini de Azevedo Marques, Walfredo Cirne, Marcelo Costa Oliveira, 2007, EATIS '07.

Integrating 3D image descriptors of margin sharpness and texture on a GPU-optimized similar pulmonary nodule retrieval engine

Paulo Mazzoncini de Azevedo Marques, Marcelo Costa Oliveira, José Raniery Ferreira, 2017, The Journal of Supercomputing.

Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research

Paulo Mazzoncini de Azevedo Marques, Marcelo Costa Oliveira, José Raniery Ferreira, 2016, Journal of Digital Imaging.

Radon-Domain Detection of the Nipple and the Pectoral Muscle in Mammograms

Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo Marques, Roberto Rodrigues Pereira, 2007, Journal of Digital Imaging.

Segmentation of dermatological ulcers using clustering of color components

Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo Marques, Marco Andrey Cipriani Frade, 2013, 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

A superpixel-driven deep learning approach for the analysis of dermatological wounds

Agma J. M. Traina, Caetano Traina, Daniel de Oliveira, 2019, Comput. Methods Programs Biomed..

Deterministic Record Linkage versus Similarity Functions: A Study in Health Databases from Brazil

Paulo Mazzoncini de Azevedo Marques, Lucas Calabrez Pereyra, Kátia Mitiko Firmino Suzuki, 2013, MedInfo.

A Label-Scaled Similarity Measure for Content-Based Image Retrieval

Agma J. M. Traina, Caetano Traina, Marcos Vinicius Naves Bedo, 2016, 2016 IEEE International Symposium on Multimedia (ISM).

A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammography

Paulo Mazzoncini de Azevedo Marques, Lucas R. Borges, Marcelo A. C. Vieira, 2019, Medical Imaging.

Integrando ferramentas de auxílio ao diagnóstico no sistema de arquivamento e comunicação de imagens

Paulo Mazzoncini de Azevedo Marques, Samuel Covas Salomão, 2011 .

Radiomics-based features for pattern recognition of lung cancer histopathology and metastases

Paulo Mazzoncini de Azevedo Marques, José Raniery Ferreira, Marcel Koenigkam-Santos, 2018, Comput. Methods Programs Biomed..

Using an image-extended relational database to support content-based image retrieval in a PACS

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2005, Comput. Methods Programs Biomed..

Fractal analysis for computer-aided diagnosis of diffuse pulmonary diseases in HRCT images

Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo Marques, Marcelo Ponciano-Silva, 2014, 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

How to Cope with the Performance Gap in Content-Based Image Retrieval Systems

Cristina Dutra de Aguiar Ciferri, Agma J. M. Traina, Caetano Traina, 2009, Int. J. Heal. Inf. Syst. Informatics.

Brain registration and subtraction - improved localization for SPECT analysis (B.R.A.S.I.L.): a computer-aided diagnosis in epilepsy tool kit

Paulo Mazzoncini de Azevedo Marques, Lucas Ferrari de Oliveira, Lauro Wichert-Ana, 2008, SAC '08.

A Differential Method for Representing Spinal MRI for Perceptual-CBIR

Marcello Henrique Nogueira-Barbosa, Agma J. M. Traina, Caetano Traina, 2013, CIARP.

A method for edge restoration and breast region segmentation in noisy mammograms

Paulo Mazzoncini de Azevedo Marques, Sérgio Koodi Kinoshita, 2004, CARS.

Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine

Agma J. M. Traina, Paulo Mazzoncini de Azevedo Marques, Mirela Teixeira Cazzolato, 2020, 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS).

Monitores radiológicos: necessidade ou luxo?

Aldo von Wangenheim, Paulo Mazzoncini de Azevedo Marques, Luiz Felipe Nobre, 2012 .

Supporting ethnographic studies of ubiquitous computing in the medical grand round experience

Paulo Mazzoncini de Azevedo Marques, José Antonio Camacho Guerrero, Alessandra Alaniz Macedo, 2008, SAC '08.

MedFMI-SiR: A Powerful DBMS Solution for Large-Scale Medical Image Retrieval

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2011, ITBAM.

Analyses of Budget Impact Considering the Use of the Picture Archiving and Communication System

Paulo Mazzoncini de Azevedo Marques, Edson Zangiacomi Martinez, Antonio Pazin Filho, 2015 .

Design of a Graph-Based System for Similar Case Retrieval of Pulmonary Nodules

Paulo Mazzoncini de Azevedo Marques, Marcelo Costa Oliveira, José Raniery Ferreira, 2015, MedInfo.

Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval

Paulo Mazzoncini de Azevedo Marques, Marcelo Costa Oliveira, José Raniery Ferreira, 2016, International Journal of Computer Assisted Radiology and Surgery.

How to add content-based image retrieval capability in a PACS

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2002, Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002).

The Superiority of Tsallis Entropy over Traditional Cost Functions for Brain MRI and SPECT Registration

Paulo Mazzoncini de Azevedo Marques, Henrique Tomaz Amaral-Silva, Lauro Wichert-Ana, 2014, Entropy.

dp-BREATH: Heat maps and probabilistic classification assisting the analysis of abnormal lung regions

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2019, Comput. Methods Programs Biomed..

Classification of dermatological ulcers based on tissue composition and color texture features

Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo Marques, Marco Andrey Cipriani Frade, 2011, ISABEL '11.

Semiautomatic Classification of Benign Versus Malignant Vertebral Compression Fractures Using Texture and Gray-Level Features in Magnetic Resonance Images

Rangaraj M. Rangayyan, Marcello Henrique Nogueira-Barbosa, Paulo Mazzoncini de Azevedo Marques, 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

Smart histogram analysis applied to the skull-stripping problem in T1-weighted MRI

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2012, Comput. Biol. Medicine.

Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures

Marcello Henrique Nogueira-Barbosa, Arianna Mencattini, Paulo Mazzoncini de Azevedo Marques, 2017, International Journal of Computer Assisted Radiology and Surgery.

Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images

Rangaraj M. Rangayyan, Marcello Henrique Nogueira-Barbosa, Paulo Mazzoncini de Azevedo Marques, 2016, Comput. Biol. Medicine.

Towards applying content-based image retrieval in the clinical routine

Paulo Mazzoncini de Azevedo Marques, Walfredo Cirne, Marcelo Costa Oliveira, 2007, Future Gener. Comput. Syst..

Fractal analysis of image textures for indexing and retrieval by content

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Emergency medical coordination using a web platform: a pilot study.

Antonio Pazin-Filho, Sandro Scarpelini, Paulo Mazzoncini de Azevedo Marques, 2010, Revista de saude publica.

Reducing the semantic gap in content-based image retrieval in mammography with relevance feedback and inclusion of expert knowledge

Rangaraj M. Rangayyan, Agma J. M. Traina, Caetano Traina, 2008, International Journal of Computer Assisted Radiology and Surgery.

Fuzzy membership functions for analysis of high-resolution CT images of diffuse pulmonary diseases

Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo Marques, Eliana S. de Almeida, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Usefulness of Texture Analysis for Computerized Classification of Breast Lesions on Mammograms

Kunio Doi, M. O. Honda, Paulo Mazzoncini de Azevedo Marques, 2007, Journal of Digital Imaging.

Color and Texture Influence on Computer-Aided Diagnosis of Dermatological Ulcers

Agma J. M. Traina, Caetano Traina, Marcos Vinicius Naves Bedo, 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

Intraoral radiographs texture analysis for dental implant planning

Paulo Mazzoncini de Azevedo Marques, Mayara B. V. Mundim, Danilo R. Dias, 2016, Comput. Methods Programs Biomed..

A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds

Agma J. M. Traina, Daniel de Oliveira, Paulo Mazzoncini de Azevedo Marques, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

Efficient Content-Based Image Retrieval through Metric Histograms

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2003, World Wide Web.

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

André Carlos Ponce de Leon Ferreira de Carvalho, Paulo Mazzoncini de Azevedo Marques, Ricardo José Ferrari, 2011, RITA.

Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy

André Carlos Ponce de Leon Ferreira de Carvalho, Caetano Traina, Marcos Vinicius Naves Bedo, 2016, Journal of Digital Imaging.

Content-based Retrieval of Mammograms Using Visual Features Related to Breast Density Patterns

Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo Marques, Roberto Rodrigues Pereira, 2007, Journal of Digital Imaging.

Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2009, Data Knowl. Eng..

Content-based retrieval of medical images: From context to perception

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.

Computational Environment for Radiology and Image-Diagnosis Teaching: A Proposal Using Systems Methodology

Paulo Mazzoncini de Azevedo Marques, Marília Guimarães Pinheiro, Jorge Elias, 2009, iJET.

Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse Lung Diseases

Rangaraj M. Rangayyan, Alejandro C. Frery, Paulo Mazzoncini de Azevedo Marques, 2017, CIARP.

A Risk Analysis Model for PACS Environments in the Cloud

Paulo Mazzoncini de Azevedo Marques, Kátia Mitiko Firmino Suzuki, Saulo da Silva Cordeiro, 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

Implementation and Test of B.R.A.S.I.L: An Epilepsy Computer-Aided Diagnosis Toolkit

Paulo Mazzoncini de Azevedo Marques, Lucas Ferrari de Oliveira, Lauro Wichert-Ana, 2008, 2008 11th IEEE International Conference on Computational Science and Engineering.

Gaussian mixture modeling for statistical analysis of features of high-resolution CT images of diffuse pulmonary diseases

Rangaraj M. Rangayyan, Paulo Mazzoncini de Azevedo Marques, Eliana S. de Almeida, 2015, 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings.

Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform

Rangaraj M. Rangayyan, Sudipta Mukhopadhyay, Paulo Mazzoncini de Azevedo Marques, 2013, Medical Imaging.

The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine

Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo Marques, 2021, Comput. Biol. Medicine.