Paulo M. Azevedo-Marques

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 12

Top Topics

Similarity Searching

Top Venues

J. Digit. Imaging

Comput. Methods Programs Biomed.

Publications

Gilson Yuuji Shimizu, Elen Almeida Romão, José Abrão Cardeal Da Costa, João Mazzoncini de Azevedo Marques, Sandro Scarpelini, Kátia Mitiko Firmino Suzuki, Hilton Vicente César, Paulo M. Azevedo-Marques
External validation and interpretability of machine learning-based risk prediction for major adverse cardiovascular events. CBMS (2024)
João Silva-Leite, Cristina A. P. Fontes, Alair S. Santos, Diogo G. Correa, Marcel Koenigkam-Santos, Paulo M. Azevedo-Marques, Daniel de Oliveira, Aline Paes, Marcos V. N. Bedo
Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval. CBMS (2024)
Daniel L. Jasbick, Lúcio F. D. Santos, Paulo M. Azevedo-Marques, Agma J. M. Traina, Daniel de Oliveira, Marcos V. N. Bedo
Pushing diversity into higher dimensions: The LID effect on diversified similarity searching. Inf. Syst. 114 (2023)
Natália Santana Chiari-Correia, Marcello H. Nogueira-Barbosa, Rodolfo Dias Chiari-Correia, Paulo M. Azevedo-Marques
A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI. J. Digit. Imaging 36 (4) (2023)
Marcos V. N. Bedo, Jonathan S. Ramos, Agma J. M. Traina, Caetano Traina, Marcello H. Nogueira-Barbosa, Paulo M. Azevedo-Marques
Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. CBMS (2022)
Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo
A superpixel-driven deep learning approach for the analysis of dermatological wounds. Comput. Methods Programs Biomed. 183 (2020)
Gustavo H. M. B. Motta, Danilo A. B. Araújo, Juracy R. Lucena-Neto, Paulo M. Azevedo-Marques, Saulo da Silva Cordeiro, Severino A. Araújo-Neto
Towards an Information Infrastructure for Medical Image Sharing. J. Digit. Imaging 33 (1) (2020)
Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo
A superpixel-driven deep learning approach for the analysis of dermatological wounds. CoRR (2019)
Wellington S. Silva, Daniel L. Jasbick, Rodrigo Erthal Wilson, Paulo M. Azevedo-Marques, Agma J. M. Traina, Lúcio F. D. Santos, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo
A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds. CBMS (2019)
Isadora Cardoso, Eliana S. Almeida, Héctor Allende-Cid, Alejandro C. Frery, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques, Heitor S. Ramos
Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse Lung Diseases. CIARP (2017)
Gustavo Blanco, Marcos Vinicius Naves Bedo, Mirela T. Cazzolato, Lúcio F. D. Santos, Ana Elisa Serafim Jorge, Caetano Traina Jr., Paulo M. Azevedo-Marques, Agma J. M. Traina
A Label-Scaled Similarity Measure for Content-Based Image Retrieval. ISM (2016)
Mayara B. V. Mundim, Danilo R. Dias, Ronaldo M. Costa, Cláudio R. Leles, Paulo M. Azevedo-Marques, Rejane F. Ribeiro-Rotta
Intraoral radiographs texture analysis for dental implant planning. Comput. Methods Programs Biomed. 136 (2016)
Eliana S. Almeida, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques
Gaussian mixture modeling for statistical analysis of features of high-resolution CT images of diffuse pulmonary diseases. MeMeA (2015)
Paulo M. Azevedo-Marques, Heloisa Ferreira Spagnoli, Lucas Frighetto-Pereira, Rafael Menezes-Reis, Guilherme Augusto Metzner, Rangaraj M. Rangayyan, Marcello Henrique Nogueira-Barbosa
Classification of vertebral compression fractures in magnetic resonance images using spectral and fractal analysis. EMBC (2015)
Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, Rangaraj M. Rangayyan, Anup K. Sadhu, Veenu Singla, Niranjan Khandelwal, Pinakpani Bhattacharyya, Paulo M. Azevedo-Marques
Detection of the nipple in mammograms with Gabor filters and the Radon transform. Biomed. Signal Process. Control. 15 (2015)
Eliana S. Almeida, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques
Fuzzy membership functions for analysis of high-resolution CT images of diffuse pulmonary diseases. EMBC (2015)
Lucas Calabrez Pereyra, Silvio M. Pereira, Juliana P. Souza, Marco Andrey Cipriani Frade, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques
Characterization and pattern recognition of color images of dermatological ulcers - a pilot study. Comput. Sci. J. Moldova 22 (2) (2014)
Henrique Tomaz Amaral-Silva, Lauro Wichert-Ana, Luiz Otávio Murta, Larissa Romualdo-Suzuki, Emerson Itikawa, Geraldo Filho Bussato, Paulo M. Azevedo-Marques
The Superiority of Tsallis Entropy over Traditional Cost Functions for Brain MRI and SPECT Registration. Entropy 16 (3) (2014)
Pedro Henrique Bugatti, Daniel S. Kaster, Marcelo Ponciano-Silva, Caetano Traina Jr., Paulo M. Azevedo-Marques, Agma J. M. Traina
PRoSPer: Perceptual similarity queries in medical CBIR systems through user profiles. Comput. Biol. Medicine 45 (2014)
Marcelo Ponciano-Silva, Juliana P. Souza, Pedro Henrique Bugatti, Marcos Vinicius Naves Bedo, Daniel S. Kaster, Rosana T. V. Braga, Angela D. Bellucci, Paulo M. Azevedo-Marques, Caetano Traina Jr., Agma J. M. Traina
Does a CBIR system really impact decisions of physicians in a clinical environment? CBMS (2013)
Jayasree Chakraborty, Sudipta Mukhopadhyay, Rangaraj M. Rangayyan, Anup K. Sadhu, Paulo M. Azevedo-Marques
Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform. Medical Imaging: Computer-Aided Diagnosis (2013)
Marcelo Ponciano-Silva, Pedro Henrique Bugatti, Rafael Menezes-Reis, Paulo M. Azevedo-Marques, Marcello H. Nogueira-Barbosa, Caetano Traina Jr., Agma Juci Machado Traina
A Differential Method for Representing Spinal MRI for Perceptual-CBIR. CIARP (1) (2013)
Silvio M. Pereira, Marco Andrey Cipriani Frade, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques
Classification of Color Images of Dermatological Ulcers. IEEE J. Biomed. Health Informatics 17 (1) (2013)
Paulo M. Azevedo-Marques, Silvio M. Pereira, Marco Andrey Cipriani Frade, Rangaraj M. Rangayyan
Segmentation of dermatological ulcers using clustering of color components. CCECE (2013)
Daniel S. Kaster, Pedro Henrique Bugatti, Marcelo Ponciano-Silva, Agma J. M. Traina, Paulo M. Azevedo-Marques, Antonio Carlos dos Santos, Caetano Traina Jr.
MedFMI-SiR: A Powerful DBMS Solution for Large-Scale Medical Image Retrieval. ITBAM (2011)
Éderson A. G. Dorileo, Marco Andrey Cipriani Frade, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques
Segmentation and analysis of the tissue composition of dermatological ulcers. CCECE (2010)
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) (2010)
Pedro Henrique Bugatti, Marcelo Ponciano-Silva, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
Content-based retrieval of medical images: From context to perception. CBMS (2009)
Marcela Xavier Ribeiro, Pedro Henrique Bugatti, Caetano Traina Jr., Paulo M. Azevedo-Marques, Natalia Abdala Rosa, Agma J. M. Traina
Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques. Data Knowl. Eng. 68 (12) (2009)
Marcelo Ponciano-Silva, Agma J. M. Traina, Paulo M. Azevedo-Marques, Joaquim Cezar Felipe, Caetano Traina Jr.
Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems. CBMS (2009)
Renato Bulcão Neto, Ajith K. Sankarankutty, Alessandra A. Macedo, Paulo M. Azevedo-Marques, Lauro Wichert-Ana, José Antonio Camacho Guerrero
Supporting ethnographic studies of ubiquitous computing in the medical grand round experience. SAC (2008)
Marcela X. Ribeiro, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
An Association Rule-Based Method to Support Medical Image Diagnosis With Efficiency. IEEE Trans. Multim. 10 (2) (2008)
Sérgio Koodi Kinoshita, Paulo M. Azevedo-Marques, Roberto Rodrigues Pereira, Jose Antônio Heisinger Rodrigues, Rangaraj M. Rangayyan
Radon-Domain Detection of the Nipple and the Pectoral Muscle in Mammograms. J. Digit. Imaging 21 (1) (2008)
André G. R. Balan, Agma J. M. Traina, Marcela X. Ribeiro, Paulo M. Azevedo-Marques, Caetano Traina Jr.
HEAD: The Human Encephalon Automatic Delimiter. CBMS (2007)
Marcela X. Ribeiro, Agma J. M. Traina, André G. R. Balan, Caetano Traina Jr., Paulo M. Azevedo-Marques
SuGAR: A Framework to Support Mammogram Diagnosis. CBMS (2007)
Roberto Rodrigues Pereira, Paulo M. Azevedo-Marques, Marcelo O. Honda, Sérgio Koodi Kinoshita, Roger Engelmann, Chisako Muramatsu, Kunio Doi
Usefulness of Texture Analysis for Computerized Classification of Breast Lesions on Mammograms. J. Digit. Imaging 20 (3) (2007)
Joaquim Cezar Felipe, Paulo M. Azevedo-Marques, André G. R. Balan, Caetano Traina Jr., Agma J. M. Traina
Comparing images with distance functions based on attribute interaction. SAC (2006)
Caetano Traina Jr., Agma J. M. Traina, Myrian R. B. Araujo, Josiane M. Bueno, Fabio Jun Takada Chino, Humberto Luiz Razente, Paulo M. Azevedo-Marques
Using an image-extended relational database to support content-based image retrieval in a PACS. Comput. Methods Programs Biomed. 80 (Supplement-1) (2005)
André G. R. Balan, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
Fractal Analysis of Image Textures for Indexing and Retrieval by Content. CBMS (2005)
Agma J. M. Traina, Caetano Traina Jr., Josiane M. Bueno, Fabio Jun Takada Chino, Paulo M. Azevedo-Marques
Efficient Content-Based Image Retrieval through Metric Histograms. World Wide Web 6 (2) (2003)
Josiane M. Bueno, Fabio Jun Takada Chino, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
How to Add Content-based Image Retrieval Capability in a PACS. CBMS (2002)
Paulo M. Azevedo-Marques, Agma J. M. Traina, Caetano Traina Jr., Josiane M. Bueno
The Metric Histogram: A New and Efficient Approach for Content-based Image Retrieval. VDB (2002)
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)