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)

How to Add Content-based Image Retrieval Capability in a PACS. - Josiane Maria Bueno; Fabio Jun Takada Chino; Agma J. M. Traina; Caetano Traina Jr.; Paulo M. Azevedo-Marques (CBMS, 2002)

The Metric Histogram: A New and Efficient Approach for Content-based Image Retrieval. - Paulo M. Azevedo-Marques; Agma J. M. Traina; Caetano Traina Jr.; Josiane Maria Bueno (VDB, 2002)

Efficient Content-Based Image Retrieval through Metric Histograms. - Agma J. M. Traina; Caetano Traina Jr.; Josiane Maria Bueno; Fabio Jun Takada Chino; Paulo M. Azevedo-Marques (World Wide Web, 2003)

A method for edge restoration and breast region segmentation in noisy mammograms. - Sérgio Koodi Kinoshita; Paulo Mazzoncini de Azevedo Marques (CARS, 2004)

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; Pablo Rodrigo Sanches (J. Digit. Imaging, 2004)

Fractal Analysis of Image Textures for Indexing and Retrieval by Content. - André G. R. Balan; Agma J. M. Traina; Caetano Traina Jr.; Paulo M. Azevedo-Marques (CBMS, 2005)

Using an image-extended relational database to support content-based image retrieval in a PACS. - 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 (Comput. Methods Programs Biomed., 2005)

Comparing images with distance functions based on attribute interaction. - Joaquim Cezar Felipe; Paulo M. Azevedo-Marques; André G. R. Balan; Caetano Traina Jr.; Agma J. M. Traina (SAC, 2006)

HEAD: The Human Encephalon Automatic Delimiter. - André G. R. Balan; Agma J. M. Traina; Marcela X. Ribeiro; Paulo M. Azevedo-Marques; Caetano Traina Jr. (CBMS, 2007)

SuGAR: A Framework to Support Mammogram Diagnosis. - Marcela X. Ribeiro; Agma J. M. Traina; André G. R. Balan; Caetano Traina Jr.; Paulo M. Azevedo-Marques (CBMS, 2007)

Grid computing to make viable the content based medical image retrieval through the image registration techniques. - Marcelo Costa Oliveira; Walfredo Cirne; José Flávio Mendes Junior; Paulo Mazzoncini de Azevedo Marques (EATIS, 2007)

Towards applying content-based image retrieval in the clinical routine. - Marcelo Costa Oliveira; Walfredo Cirne; Paulo Mazzoncini de Azevedo Marques (Future Gener. Comput. Syst., 2007)

Content-based Retrieval of Mammograms Using Visual Features Related to Breast Density Patterns. - Sérgio Koodi Kinoshita; Paulo Mazzoncini de Azevedo Marques; Roberto Rodrigues Pereira; Jose Antônio Heisinger Rodrigues; Rangaraj M. Rangayyan (J. Digit. Imaging, 2007)

Usefulness of Texture Analysis for Computerized Classification of Breast Lesions on Mammograms. - Roberto Rodrigues Pereira; Paulo M. Azevedo-Marques; Marcelo O. Honda; Sérgio Koodi Kinoshita; Roger Engelmann; Chisako Muramatsu; Kunio Doi (J. Digit. Imaging, 2007)

How to Improve Medical Image Diagnosis through Association Rules: The IDEA Method. - Marcela X. Ribeiro; Agma Juci Machado Traina; Caetano Traina Jr.; Natalia Abdala Rosa; Paulo Mazzoncini de Azevedo Marques (CBMS, 2008)

Implementation and Test of B.R.A.S.I.L: An Epilepsy Computer-Aided Diagnosis Toolkit. - Lucas Ferrari de Oliveira; Paulo Mazzoncini de Azevedo Marques; Lauro Wichert-Ana; Américo Ceiki Sakamoto (CSE, 2008)

Supporting ethnographic studies of ubiquitous computing in the medical grand round experience. - Renato Bulcão Neto; Ajith K. Sankarankutty; Alessandra A. Macedo; Paulo M. Azevedo-Marques; Lauro Wichert-Ana; José Antonio Camacho Guerrero (SAC, 2008)

Brain registration and subtraction - improved localization for SPECT analysis (B.R.A.S.I.L.): a computer-aided diagnosis in epilepsy tool kit. - Lucas Ferrari de Oliveira; Paulo Mazzoncini de Azevedo Marques; Lauro Wichert-Ana; Américo Ceiki Sakamoto (SAC, 2008)

Reducing the semantic gap in content-based image retrieval in mammography with relevance feedback and inclusion of expert knowledge. - Paulo Mazzoncini de Azevedo Marques; Natalia Abdala Rosa; Agma Juci Machado Traina; Caetano Traina Jr.; Sérgio Koodi Kinoshita; Rangaraj M. Rangayyan (Int. J. Comput. Assist. Radiol. Surg., 2008)

Radon-Domain Detection of the Nipple and the Pectoral Muscle in Mammograms. - Sérgio Koodi Kinoshita; Paulo M. Azevedo-Marques; Roberto Rodrigues Pereira; Jose Antônio Heisinger Rodrigues; Rangaraj M. Rangayyan (J. Digit. Imaging, 2008)

An Association Rule-Based Method to Support Medical Image Diagnosis With Efficiency. - Marcela X. Ribeiro; Agma J. M. Traina; Caetano Traina Jr.; Paulo M. Azevedo-Marques (IEEE Trans. Multim., 2008)

Content-based retrieval of medical images: From context to perception. - Pedro Henrique Bugatti; Marcelo Ponciano-Silva; Agma J. M. Traina; Caetano Traina Jr.; Paulo M. Azevedo-Marques (CBMS, 2009)

Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems. - Marcelo Ponciano-Silva; Agma J. M. Traina; Paulo M. Azevedo-Marques; Joaquim Cezar Felipe; Caetano Traina Jr. (CBMS, 2009)

Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques. - Marcela Xavier Ribeiro; Pedro Henrique Bugatti; Caetano Traina Jr.; Paulo M. Azevedo-Marques; Natalia Abdala Rosa; Agma J. M. Traina (Data Knowl. Eng., 2009)

Computational Environment for Radiology and Image-Diagnosis Teaching: A Proposal Using Systems Methodology. - Marília Guimarães Pinheiro; Luis Ricardo Figueiredo; Paulo Mazzoncini de Azevedo Marques; Jorge Elias Jr. (Int. J. Emerg. Technol. Learn., 2009)

How to Cope with the Performance Gap in Content-Based Image Retrieval Systems. - Agma J. M. Traina; Caetano Traina Jr.; Cristina Dutra de Aguiar Ciferri; Marcela Xavier Ribeiro; Paulo Mazzoncini de Azevedo Marques (Int. J. Heal. Inf. Syst. Informatics, 2009)

Segmentation and analysis of the tissue composition of dermatological ulcers. - Éderson A. G. Dorileo; Marco Andrey Cipriani Frade; Rangaraj M. Rangayyan; Paulo M. Azevedo-Marques (CCECE, 2010)

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)

Classification of dermatological ulcers based on tissue composition and color texture features. - Silvio Moreto Pereira; Marco Andrey Cipriani Frade; Rangaraj Mandayam Rangayyan; Paulo Mazzoncini de Azevedo Marques (ISABEL, 2011)

MedFMI-SiR: A Powerful DBMS Solution for Large-Scale Medical Image Retrieval. - Daniel S. Kaster; Pedro Henrique Bugatti; Marcelo Ponciano-Silva; Agma J. M. Traina; Paulo M. Azevedo-Marques; Antonio Carlos dos Santos; Caetano Traina Jr. (ITBAM, 2011)

Smart histogram analysis applied to the skull-stripping problem in T1-weighted MRI. - André G. R. Balan; Agma J. M. Traina; Marcela X. Ribeiro; Paulo Mazzoncini de Azevedo Marques; Caetano Traina Jr. (Comput. Biol. Medicine, 2012)

Does a CBIR system really impact decisions of physicians in a clinical environment? - 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 (CBMS, 2013)

Segmentation of dermatological ulcers using clustering of color components. - Paulo M. Azevedo-Marques; Silvio M. Pereira; Marco Andrey Cipriani Frade; Rangaraj M. Rangayyan (CCECE, 2013)

A Differential Method for Representing Spinal MRI for Perceptual-CBIR. - Marcelo Ponciano-Silva; Pedro Henrique Bugatti; Rafael Menezes-Reis; Paulo M. Azevedo-Marques; Marcello H. Nogueira-Barbosa; Caetano Traina Jr.; Agma Juci Machado Traina (CIARP (1), 2013)

Deterministic Record Linkage versus Similarity Functions: A Study in Health Databases from Brazil. - Kátia Mitiko Firmino Suzuki; Carlos Humberto Porto Filho; Luís Fernando Cozin; Lucas Calabrez Pereyra; Paulo Mazzoncini de Azevedo Marques (MedInfo, 2013)

Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform. - Jayasree Chakraborty; Sudipta Mukhopadhyay; Rangaraj M. Rangayyan; Anup K. Sadhu; Paulo M. Azevedo-Marques (Computer-Aided Diagnosis, 2013)

Classification of Color Images of Dermatological Ulcers. - Silvio M. Pereira; Marco Andrey Cipriani Frade; Rangaraj M. Rangayyan; Paulo M. Azevedo-Marques (IEEE J. Biomed. Health Informatics, 2013)

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

Fractal analysis for computer-aided diagnosis of diffuse pulmonary diseases in HRCT images. - Lucas Calabrez Pereyra; Rangaraj M. Rangayyan; Marcelo Ponciano-Silva; Paulo Mazzoncini de Azevedo Marques (MeMeA, 2014)

PRoSPer: Perceptual similarity queries in medical CBIR systems through user profiles. - Pedro Henrique Bugatti; Daniel S. Kaster; Marcelo Ponciano-Silva; Caetano Traina Jr.; Paulo M. Azevedo-Marques; Agma J. M. Traina (Comput. Biol. Medicine, 2014)

Characterization and pattern recognition of color images of dermatological ulcers - a pilot study. - Lucas Calabrez Pereyra; Silvio M. Pereira; Juliana P. Souza; Marco Andrey Cipriani Frade; Rangaraj M. Rangayyan; Paulo M. Azevedo-Marques (Comput. Sci. J. Moldova, 2014)

The Superiority of Tsallis Entropy over Traditional Cost Functions for Brain MRI and SPECT Registration. - Henrique Tomaz Amaral-Silva; Lauro Wichert-Ana; Luiz Otávio Murta; Larissa Romualdo-Suzuki; Emerson Itikawa; Geraldo Filho Bussato; Paulo M. Azevedo-Marques (Entropy, 2014)

Color and Texture Influence on Computer-Aided Diagnosis of Dermatological Ulcers. - Marcos Vinicius Naves Bedo; Lucio Fernandes Dutra Santos; Willian Dener de Oliveira; Gustavo Blanco; Agma Juci Machado Traina; Marco Antonio Frade; Paulo Mazzoncini de Azevedo Marques; Caetano Traina Jr. (CBMS, 2015)

Lyria PACS: A Case Study Saves Ten Million Dollars in a Brazilian Hospital. - Diego Fiori de Carvalho; José Antonio Camacho Guerrero; Paulo Mazzoncini de Azevedo Marques; Alessandra Alaniz Macedo (CBMS, 2015)

A Risk Analysis Model for PACS Environments in the Cloud. - Saulo da Silva Cordeiro; F. S. SantAna; Kátia Mitiko Firmino Suzuki; Paulo Mazzoncini de Azevedo Marques (CBMS, 2015)

Prehospital Electronic Record with Use of Mobile Devices in the SAMU's Ambulances in Ribeirão Preto-Brazil. - Alexandre Freitas Duarte; Hilton Vicente César; Andre Luis Mendes Marques; Paulo Mazzoncini de Azevedo Marques; Gerson Alves Pereira Junior (CBMS, 2015)

Semiautomatic Classification of Benign Versus Malignant Vertebral Compression Fractures Using Texture and Gray-Level Features in Magnetic Resonance Images. - Lucas Frighetto-Pereira; Rafael Menezes-Reis; Guilherme Augusto Metzner; Rangaraj Mandayam Rangayyan; Paulo Mazzoncini de Azevedo Marques; Marcello Henrique Nogueira-Barbosa (CBMS, 2015)

Fuzzy membership functions for analysis of high-resolution CT images of diffuse pulmonary diseases. - Eliana S. Almeida; Rangaraj M. Rangayyan; Paulo M. Azevedo-Marques (EMBC, 2015)

Classification of vertebral compression fractures in magnetic resonance images using spectral and fractal analysis. - Paulo M. Azevedo-Marques; Heloisa Ferreira Spagnoli; Lucas Frighetto-Pereira; Rafael Menezes-Reis; Guilherme Augusto Metzner; Rangaraj M. Rangayyan; Marcello Henrique Nogueira-Barbosa (EMBC, 2015)

Design of a Graph-Based System for Similar Case Retrieval of Pulmonary Nodules. - José Raniery Ferreira Jr.; Marcelo Costa Oliveira; Paulo Mazzoncini de Azevedo Marques (MedInfo, 2015)

Gaussian mixture modeling for statistical analysis of features of high-resolution CT images of diffuse pulmonary diseases. - Eliana S. Almeida; Rangaraj M. Rangayyan; Paulo M. Azevedo-Marques (MeMeA, 2015)

Detection of the nipple in mammograms with Gabor filters and the Radon transform. - Jayasree Chakraborty; Abhishek Midya; Sudipta Mukhopadhyay; Rangaraj M. Rangayyan; Anup K. Sadhu; Veenu Singla; Niranjan Khandelwal; Pinakpani Bhattacharyya; Paulo M. Azevedo-Marques (Biomed. Signal Process. Control., 2015)

A Label-Scaled Similarity Measure for Content-Based Image Retrieval. - 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 (ISM, 2016)

Recognition of vertebral compression fractures in magnetic resonance images using statistics of height and width. - Lucas Frighetto-Pereira; Guilherme Augusto Metzner; Paulo Mazzoncini de Azevedo Marques; Marcello Henrique Nogueira-Barbosa; Foad Oloumi; Rangaraj M. Rangayyan (MeMeA, 2016)

Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images. - Lucas Frighetto-Pereira; Rangaraj Mandayam Rangayyan; Guilherme Augusto Metzner; Paulo Mazzoncini de Azevedo Marques; Marcello Henrique Nogueira-Barbosa (Comput. Biol. Medicine, 2016)

Intraoral radiographs texture analysis for dental implant planning. - Mayara B. V. Mundim; Danilo R. Dias; Ronaldo M. Costa; Cláudio R. Leles; Paulo M. Azevedo-Marques; Rejane Faria Ribeiro-Rotta (Comput. Methods Programs Biomed., 2016)

Validation of Tsallis Entropy In Inter-Modality Neuroimage Registration. - Henrique Tomaz Amaral-Silva; Luiz Otávio Murta Júnior; Paulo Mazzoncini de Azevedo Marques; Lauro Wichert-Ana; V. B. Surya Prasath; Colin Studholme (CoRR, 2016)

Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy. - Marcos Vinicius Naves Bedo; Davi Pereira dos Santos; Marcelo Ponciano-Silva; Paulo Mazzoncini de Azevedo Marques; André Carlos Ponce de Leon Ferreira de Carvalho; Caetano Traina Jr. (J. Digit. Imaging, 2016)

Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research. - José Raniery Ferreira; Marcelo Costa Oliveira; Paulo Mazzoncini de Azevedo Marques (J. Digit. Imaging, 2016)

Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse Lung Diseases. - Isadora Cardoso; Eliana S. Almeida; Héctor Allende-Cid; Alejandro C. Frery; Rangaraj M. Rangayyan; Paulo M. Azevedo-Marques; Heitor S. Ramos (CIARP, 2017)

Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures. - Paola Casti; Arianna Mencattini; Marcello H. Nogueira-Barbosa; Lucas Frighetto-Pereira; Paulo Mazzoncini de Azevedo Marques; Eugenio Martinelli; Corrado Di Natale (Int. J. Comput. Assist. Radiol. Surg., 2017)

Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval. - José Raniery Ferreira; Paulo Mazzoncini de Azevedo Marques; Marcelo Costa Oliveira (Int. J. Comput. Assist. Radiol. Surg., 2017)

Integrating 3D image descriptors of margin sharpness and texture on a GPU-optimized similar pulmonary nodule retrieval engine. - José Raniery Ferreira Jr.; Marcelo Costa Oliveira; Paulo Mazzoncini de Azevedo Marques (J. Supercomput., 2017)

Radiomics-based features for pattern recognition of lung cancer histopathology and metastases. - José Raniery Ferreira; Marcel Koenigkam-Santos; Federico Enrique Garcia Cipriano; Alexandre Todorovic Fabro; Paulo Mazzoncini de Azevedo Marques (Comput. Methods Programs Biomed., 2018)

Characterization of Pulmonary Nodules Based on Features of Margin Sharpness and Texture. - José Raniery Ferreira Jr.; Marcelo Costa Oliveira; Paulo Mazzoncini de Azevedo Marques (J. Digit. Imaging, 2018)

A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds. - 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 001; Marcos V. N. Bedo (CBMS, 2019)

Blockchain Based Network for Tuberculosis: A Data Sharing Initiative in Brazil. - Filipe Andrade Bernardi; Vinícius Lima 001; Felipe Pellison; Paulo Mazzoncini de Azevedo Marques; Rui Rijo; Rafael Mello Galliez; Afrânio Lineu Kritski; Domingos Alves (ICIMTH, 2019)

A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammography. - Lucas R. Borges; Paulo Mazzoncini de Azevedo Marques; Marcelo Andrade da Costa Vieira (Image Perception, Observer Performance, and Technology Assessment, 2019)

dp-BREATH: Heat maps and probabilistic classification assisting the analysis of abnormal lung regions. - Mirela T. Cazzolato; Lucas C. Scabora; Marcos R. Nesso Jr.; Luis Fernando Milano Oliveira; Alceu Ferraz Costa; Daniel S. Kaster; Marcel Koenigkam-Santos; Paulo Mazzoncini de Azevedo Marques; Caetano Traina Jr.; Agma J. M. Traina (Comput. Methods Programs Biomed., 2019)

Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. - Mirela T. Cazzolato; Jonathan S. Ramos; Lucas Santiago Rodrigues; Lucas C. Scabora; Daniel Y. T. Chino; Ana Elisa Serafim Jorge; Paulo Mazzoncini de Azevedo Marques; Caetano Traina; Agma J. M. Traina (CBMS, 2020)

CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms. - José Raniery Ferreira Jr.; Marcel Koenigkam-Santos; Ariane Priscilla Magalhães Tenório; Matheus Calil Faleiros; Federico Enrique Garcia Cipriano; Alexandre Todorovic Fabro; Janne Näppi; Hiroyuki Yoshida; Paulo Mazzoncini de Azevedo Marques (Int. J. Comput. Assist. Radiol. Surg., 2020)

A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis. - Ariane Priscilla Magalhães Tenório; Matheus Calil Faleiros; José Raniery Ferreira Jr.; Vitor Faeda Dalto; Rodrigo Luppino Assad; Paulo Louzada-Junior; Hiroyuki Yoshida; Marcello Henrique Nogueira-Barbosa; Paulo Mazzoncini de Azevedo Marques (Int. J. Comput. Assist. Radiol. Surg., 2020)

A superpixel-driven deep learning approach for the analysis of dermatological wounds. - Gustavo Blanco; Agma J. M. Traina; Caetano Traina Jr.; Paulo M. Azevedo-Marques; Ana Elisa Serafim Jorge; Daniel de Oliveira 001; Marcos V. N. Bedo (Comput. Methods Programs Biomed., 2020)

Towards an Information Infrastructure for Medical Image Sharing. - 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 (J. Digit. Imaging, 2020)

The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. - Mirela T. Cazzolato; Jonathan S. Ramos; Lucas Santiago Rodrigues; Lucas C. Scabora; Daniel Y. T. Chino; Ana Elisa Serafim Jorge; Paulo Mazzoncini de Azevedo Marques; Caetano Traina Jr.; Agma J. M. Traina (Comput. Biol. Medicine, 2021)

Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. - Marcos V. N. Bedo; Jonathan S. Ramos; Agma J. M. Traina; Caetano Traina; Marcello H. Nogueira-Barbosa; Paulo M. Azevedo-Marques (CBMS, 2022)

Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics. - Rafael Silva Del Lama; Raquel Mariana Candido; Natália Santana Chiari-Correia; Marcello Henrique Nogueira-Barbosa; Paulo Mazzoncini de Azevedo Marques; Renato Tinós (J. Digit. Imaging, 2022)

Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis. - Ariane Priscilla Magalhães Tenório; José Raniery Ferreira Jr.; Vitor Faeda Dalto; Matheus Calil Faleiros; Rodrigo Luppino Assad; Paulo Louzada-Junior; Marcello Henrique Nogueira-Barbosa; Rangaraj Mandayam Rangayyan; Paulo Mazzoncini de Azevedo Marques (J. Digit. Imaging, 2022)

Pushing diversity into higher dimensions: The LID effect on diversified similarity searching. - Daniel L. Jasbick; Lúcio F. D. Santos; Paulo M. Azevedo-Marques; Agma J. M. Traina; Daniel de Oliveira 001; Marcos V. N. Bedo (Inf. Syst., 2023)

A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI. - Natália Santana Chiari-Correia; Marcello H. Nogueira-Barbosa; Rodolfo Dias Chiari-Correia; Paulo M. Azevedo-Marques (J. Digit. Imaging, 2023)

External validation and interpretability of machine learning-based risk prediction for major adverse cardiovascular events. - 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 (CBMS, 2024)

Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval. - João Silva-Leite; Cristina A. P. Fontes; Alair S. Santos; Diogo G. Correa; Marcel Koenigkam-Santos; Paulo M. Azevedo-Marques; Daniel de Oliveira 001; Aline Paes; Marcos V. N. Bedo (CBMS, 2024)

Deep Learning Methods for Sacroiliitis Detection. - Thiago Mantovani Martins; Matheus Arroyo de Lima; Newton Shydeo Brandão Miyoshi; Paulo Mazzoncini de Azevedo Marques (CENTERIS/ProjMAN/HCist, 2024)

RadPleura: A Radiomics-Based Framework for Lung Pleura Classification in Histology Images from Interstitial Lung Diseases. - Oscar Cuadros Linares; Ivar Vargas Belizario; Sabrina Setembre Batah; Bernd Hamann; Alexandre Todorovic Fabro; Paulo M. Azevedo-Marques; Agma J. M. Traina (ISBI, 2024)

Exploring Histopathological Image Augmentation Through StyleGAN2ADA: A Quantitative Analysis. - Glenda P. Train; Johanna E. Rogalsky; Sergio O. Ioshii; Paulo M. Azevedo-Marques; Lucas F. Oliveira (VISIGRAPP (3): VISAPP, 2025)