Paulo M. Azevedo-Marques

45 papers B 12C 2Misc 2Journal 18Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Exploring Histopathological Image Augmentation Through StyleGAN2ADA: A Quantitative Analysis. VISIGRAPP (3): VISAPP Glenda P. Train, Johanna E. Rogalsky, Sergio O. Ioshii, Paulo M. Azevedo-Marques, Lucas F. Oliveira
2024	B	`conf`	Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval. CBMS 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
2024	B	`conf`	External validation and interpretability of machine learning-based risk prediction for major adverse cardiovascular events. CBMS 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
2024	—	`conf`	RadPleura: A Radiomics-Based Framework for Lung Pleura Classification in Histology Images from Interstitial Lung Diseases. ISBI Oscar Cuadros Linares, Ivar Vargas Belizario, Sabrina Setembre Batah, Bernd Hamann, Alexandre Todorovic Fabro, Paulo M. Azevedo-Marques, Agma J. M. Traina
2023	J	`jnl`	A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI. J. Digit. Imaging Natália Santana Chiari-Correia, Marcello H. Nogueira-Barbosa, Rodolfo Dias Chiari-Correia, Paulo M. Azevedo-Marques
2023	J	`jnl`	Pushing diversity into higher dimensions: The LID effect on diversified similarity searching. Inf. Syst. Daniel L. Jasbick, Lúcio F. D. Santos, Paulo M. Azevedo-Marques, Agma J. M. Traina, Daniel de Oliveira, Marcos V. N. Bedo
2022	B	`conf`	Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. CBMS Marcos V. N. Bedo, Jonathan S. Ramos, Agma J. M. Traina, Caetano Traina, Marcello H. Nogueira-Barbosa, Paulo M. Azevedo-Marques
2020	J	`jnl`	A superpixel-driven deep learning approach for the analysis of dermatological wounds. Comput. Methods Programs Biomed. Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo
2020	J	`jnl`	Towards an Information Infrastructure for Medical Image Sharing. J. Digit. Imaging 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
2019	B	`conf`	A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds. CBMS 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
2019	J	`jnl`	A superpixel-driven deep learning approach for the analysis of dermatological wounds. CoRR Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo
2017	C	`conf`	Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse Lung Diseases. CIARP Isadora Cardoso, Eliana S. Almeida, Héctor Allende-Cid, Alejandro C. Frery, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques, Heitor S. Ramos
2016	C	`conf`	A Label-Scaled Similarity Measure for Content-Based Image Retrieval. ISM 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
2016	J	`jnl`	Intraoral radiographs texture analysis for dental implant planning. Comput. Methods Programs Biomed. Mayara B. V. Mundim, Danilo R. Dias, Ronaldo M. Costa, Cláudio R. Leles, Paulo M. Azevedo-Marques, Rejane Faria Ribeiro-Rotta
2015	—	`conf`	Classification of vertebral compression fractures in magnetic resonance images using spectral and fractal analysis. EMBC Paulo M. Azevedo-Marques, Heloisa Ferreira Spagnoli, Lucas Frighetto-Pereira, Rafael Menezes-Reis, Guilherme Augusto Metzner, Rangaraj M. Rangayyan, Marcello Henrique Nogueira-Barbosa
2015	J	`jnl`	Detection of the nipple in mammograms with Gabor filters and the Radon transform. Biomed. Signal Process. Control. Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, Rangaraj M. Rangayyan, Anup K. Sadhu, Veenu Singla, Niranjan Khandelwal, Pinakpani Bhattacharyya, Paulo M. Azevedo-Marques
2015	—	`conf`	Fuzzy membership functions for analysis of high-resolution CT images of diffuse pulmonary diseases. EMBC Eliana S. Almeida, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques
2015	—	`conf`	Gaussian mixture modeling for statistical analysis of features of high-resolution CT images of diffuse pulmonary diseases. MeMeA Eliana S. Almeida, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques
2014	J	`jnl`	Characterization and pattern recognition of color images of dermatological ulcers - a pilot study. Comput. Sci. J. Moldova Lucas Calabrez Pereyra, Silvio M. Pereira, Juliana P. Souza, Marco Andrey Cipriani Frade, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques
2014	J	`jnl`	PRoSPer: Perceptual similarity queries in medical CBIR systems through user profiles. Comput. Biol. Medicine Pedro Henrique Bugatti, Daniel S. Kaster, Marcelo Ponciano-Silva, Caetano Traina Jr., Paulo M. Azevedo-Marques, Agma J. M. Traina
2014	J	`jnl`	The Superiority of Tsallis Entropy over Traditional Cost Functions for Brain MRI and SPECT Registration. Entropy Henrique Tomaz Amaral-Silva, Lauro Wichert-Ana, Luiz Otávio Murta, Larissa Romualdo-Suzuki, Emerson Itikawa, Geraldo Filho Bussato, Paulo M. Azevedo-Marques
2013	—	`conf`	A Differential Method for Representing Spinal MRI for Perceptual-CBIR. CIARP (1) Marcelo Ponciano-Silva, Pedro Henrique Bugatti, Rafael Menezes-Reis, Paulo M. Azevedo-Marques, Marcello H. Nogueira-Barbosa, Caetano Traina Jr., Agma Juci Machado Traina
2013	—	`conf`	Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform. Computer-Aided Diagnosis Jayasree Chakraborty, Sudipta Mukhopadhyay, Rangaraj M. Rangayyan, Anup K. Sadhu, Paulo M. Azevedo-Marques
2013	J	`jnl`	Classification of Color Images of Dermatological Ulcers. IEEE J. Biomed. Health Informatics Silvio M. Pereira, Marco Andrey Cipriani Frade, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques
2013	B	`conf`	Does a CBIR system really impact decisions of physicians in a clinical environment? CBMS 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
2013	—	`conf`	Segmentation of dermatological ulcers using clustering of color components. CCECE Paulo M. Azevedo-Marques, Silvio M. Pereira, Marco Andrey Cipriani Frade, Rangaraj M. Rangayyan
2011	—	`conf`	MedFMI-SiR: A Powerful DBMS Solution for Large-Scale Medical Image Retrieval. ITBAM Daniel S. Kaster, Pedro Henrique Bugatti, Marcelo Ponciano-Silva, Agma J. M. Traina, Paulo M. Azevedo-Marques, Antonio Carlos dos Santos, Caetano Traina Jr.
2010	J	`jnl`	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 Yuri Saito, Ricardo José Ferrari, Jefferson Teixeira, Paulo M. Azevedo-Marques, André C. P. L. F. de Carvalho, Antonio Carlos dos Santos
2010	—	`conf`	Segmentation and analysis of the tissue composition of dermatological ulcers. CCECE Éderson A. G. Dorileo, Marco Andrey Cipriani Frade, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques
2009	B	`conf`	Content-based retrieval of medical images: From context to perception. CBMS Pedro Henrique Bugatti, Marcelo Ponciano-Silva, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
2009	B	`conf`	Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems. CBMS Marcelo Ponciano-Silva, Agma J. M. Traina, Paulo M. Azevedo-Marques, Joaquim Cezar Felipe, Caetano Traina Jr.
2009	J	`jnl`	Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques. Data Knowl. Eng. Marcela Xavier Ribeiro, Pedro Henrique Bugatti, Caetano Traina Jr., Paulo M. Azevedo-Marques, Natalia Abdala Rosa, Agma J. M. Traina
2008	J	`jnl`	An Association Rule-Based Method to Support Medical Image Diagnosis With Efficiency. IEEE Trans. Multim. Marcela X. Ribeiro, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
2008	J	`jnl`	Radon-Domain Detection of the Nipple and the Pectoral Muscle in Mammograms. J. Digit. Imaging Sérgio Koodi Kinoshita, Paulo M. Azevedo-Marques, Roberto Rodrigues Pereira, Jose Antônio Heisinger Rodrigues, Rangaraj M. Rangayyan
2008	Misc	`conf`	Supporting ethnographic studies of ubiquitous computing in the medical grand round experience. SAC Renato Bulcão Neto, Ajith K. Sankarankutty, Alessandra A. Macedo, Paulo M. Azevedo-Marques, Lauro Wichert-Ana, José Antonio Camacho Guerrero
2007	B	`conf`	HEAD: The Human Encephalon Automatic Delimiter. CBMS André G. R. Balan, Agma J. M. Traina, Marcela X. Ribeiro, Paulo M. Azevedo-Marques, Caetano Traina Jr.
2007	B	`conf`	SuGAR: A Framework to Support Mammogram Diagnosis. CBMS Marcela X. Ribeiro, Agma J. M. Traina, André G. R. Balan, Caetano Traina Jr., Paulo M. Azevedo-Marques
2007	J	`jnl`	Usefulness of Texture Analysis for Computerized Classification of Breast Lesions on Mammograms. J. Digit. Imaging Roberto Rodrigues Pereira, Paulo M. Azevedo-Marques, Marcelo O. Honda, Sérgio Koodi Kinoshita, Roger Engelmann, Chisako Muramatsu, Kunio Doi
2006	Misc	`conf`	Comparing images with distance functions based on attribute interaction. SAC Joaquim Cezar Felipe, Paulo M. Azevedo-Marques, André G. R. Balan, Caetano Traina Jr., Agma J. M. Traina
2005	B	`conf`	Fractal Analysis of Image Textures for Indexing and Retrieval by Content. CBMS André G. R. Balan, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
2005	J	`jnl`	Using an image-extended relational database to support content-based image retrieval in a PACS. Comput. Methods Programs Biomed. Caetano Traina Jr., Agma J. M. Traina, Myrian R. B. Araujo, Josiane Maria Bueno, Fabio Jun Takada Chino, Humberto Luiz Razente, Paulo M. Azevedo-Marques
2003	J	`jnl`	Efficient Content-Based Image Retrieval through Metric Histograms. World Wide Web Agma J. M. Traina, Caetano Traina Jr., Josiane Maria Bueno, Fabio Jun Takada Chino, Paulo M. Azevedo-Marques
2002	B	`conf`	How to Add Content-based Image Retrieval Capability in a PACS. CBMS Josiane Maria Bueno, Fabio Jun Takada Chino, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques
2002	—	`conf`	The Metric Histogram: A New and Efficient Approach for Content-based Image Retrieval. VDB Paulo M. Azevedo-Marques, Agma J. M. Traina, Caetano Traina Jr., Josiane Maria Bueno
2000	B	`conf`	Comparative of shape and texture features in classifications of breast masses in digitized mammograms. Image Processing Sérgio Koodi Kinoshita, Paulo M. Azevedo-Marques, Annie France Frère, Heitor R. C. Marana, Ricardo José Ferrari, Roberto Rodrigues Pereira