Mineração, indexação e visualização de Big Data no contexto de sistemas de apoio à decisão clínica (MIVisBD)

• Processo: 16/17078-0
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Data de Início da vigência: 01 de setembro de 2017
• Data de Término da vigência: 31 de agosto de 2024
• Área do conhecimento: Ciências Exatas e da Terra - Ciência da Computação - Metodologia e Técnicas da Computação
• Pesquisador responsável: Agma Juci Machado Traina
• Beneficiário: Agma Juci Machado Traina
• Instituição Sede: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brasil
• Pesquisadores principais: Caetano Traina Junior ; Marco Antonio Gutierrez ; Paulo Mazzoncini de Azevedo Marques
• Pesquisadores associados: André Guilherme Ribeiro Balan ; Christos Faloutsos ; Eneida A Mendonca ; Fabio Antero Pires ; Joaquim Cezar Felipe ; Joe Tekli ; José Eduardo Krieger ; José Fernando Rodrigues Júnior ; Juan P Casas ; Marcel Koenigkam Santos ; Marcela Xavier Ribeiro ; Marcello Henrique Nogueira Barbosa ; Marina de Fátima de Sá Rebelo ; Ramon Alfredo Moreno ; Rangaraj Mandayam Rangayyan ; Renato Bueno ; Richard Chbeir ; Robson Leonardo Ferreira Cordeiro ; Sameer Antani ; Solange Oliveira Rezende ; Thomas Martin Deserno, né Lehmann ; Umberto Tachinardi
• Auxílio(s) vinculado(s): 21/05623-2 - 25th European Conference on Advances in Databases and Information Systems, AR.EXT; 21/06200-8 - 25th International Conference Information Visualisation - IV2021, AR.EXT; 20/07200-9 - Analisando dados complexos vinculados a COVID-19 para apoio à tomada de decisão e prognóstico, AP.R; + mais auxílios vinculados 19/20784-2 - III International Clinical Engineering and Health Technology Management Congress (ICEHTMC 2019), AR.EXT; 19/06560-4 - 23rd International Conference Information Visualisation, AR.EXT; 18/07765-6 - Visão computacional e reconhecimento de padrão para identificação de biomarcadores radiômicos, AV.EXT - menos auxílios vinculados
• Bolsa(s) vinculada(s): 23/03462-7 - Classificação e anotação de imagens médicas baseada em aprendizagem ativa, BP.PD; 22/13190-1 - Visualização de redes semânticas e temporais como ferramenta de exploração de dados médicos e científicos, BP.PD; 22/12374-1 - Tratamento e Organização de Grandes Bases de Dados de Pesquisas Acadêmicas, BP.TT; + mais bolsas vinculadas 21/09664-5 - Interoperabilidade e integração de dados de registros eletrônicos de saúde com OMOP, BP.PD; 21/06564-0 - Melhorando a efetividade de consultas por similaridade em dados médicos por meio de considerações de diversidade, BP.PD; 21/00366-1 - Desenvolvimento de método de acesso métrico com calibração de distância perceptual para consultas por similaridade de imagens médicas, BP.MS; 21/02412-0 - Desenvolvimento de plataforma para execução de consultas por similaridade sobre dados complexos usando estruturas de indexação multimétricas, BP.TT; 21/00360-3 - Desenvolvimento de software de apoio para consultas por similaridade em bases de dados de saúde, BP.TT; 20/12032-8 - Implantação de banco de dados e suporte de aprendizado de máquina para estudos radiômicos, BP.TT; 20/10049-0 - Redes complexas e recuperação de imagens por conteúdo apoiadas por características de atenção visual seletiva, BP.PD; 20/11258-2 - Consultas por similaridade e interoperabilidade em bases de dados médicos, BP.PD; 19/04660-1 - Consolidando Métodos de Aprendizado de Máquina no Contexto do MiVisBD, BP.TT; 18/19533-2 - Biomarcadores diagnósticos, prognósticos e preditivos do câncer de pulmão baseados em radiômica: investigação de técnicas de aprendizado profundo para medicina de precisão, BP.PD; 17/08376-0 - Análise e aperfeiçoamento de sistemas urbanos por meio de mapas digitais representados por redes complexas, BP.DR; 18/24414-2 - Ambiente para integração de técnicas para a extração de características e bases de dados complexos para o projeto MIVisBD, BP.TT; 17/23780-2 - Recuperação por conteúdo de imagens médicas para apoio a decisão clínica usando a abordagem radiômica, BP.DR; 18/11424-0 - Criação de uma infraestrutura de Armazém de Dados para Análise Visual voltada à saúde, BP.TT; 18/06074-0 - Content-Based Image Retrieval using Selective Visual Attention, BP.PD; 18/06228-7 - Detecção de padrões e anomalias em dados médicos usando Modelagem Matemática, BP.PD; 17/24407-3 - Criação de uma infraestrutura de banco de dados para auxiliar estudos de radiômica, BP.TT; 17/21512-0 - Avaliação de técnicas de junção por similaridade em fluxos de dados: estudo de caso na análise financeira, BP.IC - menos bolsas vinculadas
• Assunto(s): Bases de dados Big data Mineração de dados Consultas por similaridade Processamento de imagens Tomada de decisão Registros médicos Sistemas computadorizados de registros médicos
• Palavra(s)-Chave do Pesquisador: bases de dados complexos | big data | Consultas por Similaridade | extração de características de imagens | Imagens Médicas | visual analytics | Banco de Dados e Processamento Gráfico

Resumo

Hoje, quase todas as atividades humanas geram e/ou demandam armazenar e processar conjuntos de dados cada vez maiores, que muitas vezes são diversos e complexos. Esse cenário de crescimento vertiginoso, que ocorre tanto no meio científico, acadêmico, empresarial e até mesmo nas atividades de lazer, demanda novos métodos eficientes para organização e acesso. Tal cenário está sendo chamado como a "era do big data". Atividades e sistemas relacionados à saúde estão no centro desse cenário, pois produzem grandes quantidades de dados diversificados e complexos. É importante que avancemos tecnologicamente, de modo a nos beneficiarmos desse volume de dados para ampliar o conhecimento das áreas, de modo, por exemplo, a apoiar o processo de tomada de decisão. Esse apoio à decisão em sistemas complexos está cada vez mais orientado pelas informações extraídas e o que se aprende desses grandes volumes de dados. Em um ambiente clínico, os Registros Eletrônicos dos Pacientes (REP) constituem uma plataforma propícia ao desenvolvimento de estratégias para extração de informações dos pacientes, seus perfis e mesmo de grupos que possuem uma mesma casuística. Neste projeto, pretende-se integrar suportes inovadores de bancos de dados, processamento de imagens e métodos de análise visuais de dados com base em REPs e repositórios de dados clínicos para reunir informações valiosas e significativas para a tomada de decisões que apoiem o diagnóstico e tratamento de pacientes. O tamanho e a complexidade das bases de dados de REPs oferecem grandes desafios de processamento, tanto em termos de desenvolvimento e aplicação de técnicas de análise e de extração de conhecimento, quanto ao apoio ao desenvolvimento de ferramentas práticas para uso clínico. No entanto, também incorporam uma infinidade de oportunidades para criar algoritmos e métodos capazes de exibir informações relevantes relacionadas com um paciente particular ou grupos de pacientes, que estariam usualmente ocultas pelo grande volume de dados. Além disso, uma manipulação eficiente desses dados possui alto potencial para tornar os REPs em uma plataforma mais eficaz para apoiar os profissionais de saúde, lidando com aplicações médicas de rápida demanda bem como decisões governamentais estratégicas em saúde. Neste projeto iremos desenvolver métodos e algoritmos que serão materializados em uma plataforma modular a ser disponibilizada para a comunidade da área, apoiando o cotidiano da tomada de decisões em sistemas de saúde. (AU)

Publicações científicas

(89)

(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)

LINHARES, CLAUDIO D. G.; TINOCO, CLAUDINEY R.; PONCIANO, JEAN R.; OLIVEIRA, GINA M. B.; TRAVENCOLO, BRUNO A. N.; XAVIER-JUNIOR, JC; RIOS, RA. A Network-Based Visual Analytics Approach for Performance Evaluation of Swarms of Robots in the Surveillance Task. INTELLIGENT SYSTEMS, PT I, v. 13653, p. 16-pg., 2022-01-01. (20/07200-9, 16/17078-0, 20/10049-0)

FALEIROS, MATHEUS CALIL; NOGUEIRA-BARBOSA, MARCELLO HENRIQUE; DALTO, VITOR FAEDA; FERREIRA JUNIOR, JOSE RANIERY; MAGALHAES TENORIO, ARIANE PRISCILLA; LUPPINO-ASSAD, RODRIGO; LOUZADA-JUNIOR, PAULO; RANGAYYAN, RANGARAJ MANDAYAM; DE AZEVEDO-MARQUES, PAULO MAZZONCINI. Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging. ADVANCES IN RHEUMATOLOGY, v. 60, n. 1, MAY 7 2020. (16/17078-0, 18/07765-6)

SCABORA, LUCAS C.; SPADON, GABRIEL; OLIVEIRA, PAULO H.; RODRIGUES-JR, JOSE F.; TRAINA-JR, CAETANO; ACM. Enhancing recursive graph querying on RDBMS with data clustering approaches. PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20), v. N/A, p. 8-pg., 2020-01-01. (16/17078-0, 16/17330-1, 18/17620-5, 18/20360-5, 17/08376-0, 19/04461-9)

PAIVA, CLAUDIO EDUARDO; MALAQUIAS JUNIOR, ROSEVAL DONISETE; BUENO, RENATO; BANISSI, E; KHOSROW-SHAHI, F; URSYN, A; BANNATYNE, MWM; PIRES, JM; DATIA, N; NAZEMI, K; et al. Visualization of similarity queries with trajectory estimation in complex data. 2020 24TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV 2020), v. N/A, p. 6-pg., 2020-01-01. (16/17078-0)

LESCANO, ALEXIS I. ASPAUZA; CORDEIRO, ROBSON L. F.; BELLATRECHE, L; DUMAS, M; KARRAS, P; MATULEVICIUS, R; AWAD, A; WEIDLICH, M; IVANOVIC, M; HARTIG, O. Relational Conditional Set Operations. NEW TRENDS IN DATABASE AND INFORMATION SYSTEMS, ADBIS 2021, v. 1450, p. 12-pg., 2021-01-01. (16/17078-0)

CAZZOLATO, MIRELA T.; RAMOS, JONATHAN S.; RODRIGUES, LUCAS S.; SCABORA, LUCAS C.; CHINO, DANIEL Y. T.; JORGE, ANA E. S.; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; TRAINA JR, CAETANO; TRAINA, AGMA J. M.; DEHERRERA, AGS; et al. Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., 2020-01-01. (16/17078-0, 20/07200-9, 17/23780-2, 18/24414-2, 16/17330-1)

RAMOS, JONATHAN S.; DE AGUIAR, ERIKSON J.; BELIZARIO, IVAR, V; COSTA, MARCUS V. L.; MACIEL, JAMILLY G.; CAZZOLATO, MIRELA T.; TRAINA, CAETANO, JR.; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, AGMA J. M.; SHEN, L; et al. Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning. 2022 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2022-01-01. (21/02412-0, 20/11258-2, 16/17078-0, 21/11403-5, 21/00360-3, 21/08982-3, 18/04266-9)

NESSO-, MARCOS R., JR.; CAZZOLATO, MIRELA T.; SCABORA, LUCAS C.; OLIVEIRA, PAULO H.; SPADON, GABRIEL; DE SOUZA, JESSICA A.; OLIVEIRA, WILLIAN D.; CHINO, DANIEL Y. T.; RODRIGUES-, JOSE F., JR.; TRAINA, AGMA J. M.; et al. RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation. 2018 31ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS 2018), v. N/A, p. 6-pg., 2018-01-01. (13/21378-1, 17/08376-0, 16/17330-1, 15/15392-7, 16/17078-0)

DE AGUIAR, ERIKSON J.; COSTA, MARCUS V. L.; TRAINA-, CAETANO, JR.; TRAINA, AGORA J. M.; ALMEIDA, JR; SPILIOPOULOU, M; ANDRADES, JAB; PLACIDI, G; GONZALEZ, AR; SICILIA, R; et al. Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings. 2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS, v. N/A, p. 4-pg., 2023-01-01. (16/17078-0, 20/07200-9, 21/08982-3)

CAZZOLATO, MIRELA T.; GUTIERREZ, MARCO ANTONIO; TRAINA, CACTANO, JR.; FALOUTSOS, CHRISTOS; TRAINA, AGMA J. M.; ALMEIDA, JR; SPILIOPOULOU, M; ANDRADES, JAB; PLACIDI, G; GONZALEZ, AR; et al. Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools. 2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS, v. N/A, p. 6-pg., 2023-01-01. (16/17078-0, 21/11403-5, 20/11258-2)

SANTOS, LUCIO F. D.; BLANCO, GUSTAVO; DE OLIVEIRA, DANIEL; TRAINA, AGMA J. M.; TRAINA, CAETANO, JR.; BEDO, MARCOS V. N.; CUZZOCREA, A; ALLAN, J; PATON, N; SRIVASTAVA, D; et al. Exploring Diversified Similarity with Kundaha. CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, v. N/A, p. 4-pg., 2018-01-01. (16/17078-0)

RAMOS, JONATHAN S.; WATANABE, CAROLINA Y. V.; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, AGMA J. M.; ASSOC COMP MACHINERY. BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING, v. N/A, p. 8-pg., 2019-01-01. (17/23780-2, 16/17078-0)

SPADON, GABRIEL; GIMENES, GABRIEL; RODRIGUES JR, JOSE F.; SHI, Y; FU, H; TIAN, Y; KRZHIZHANOVSKAYA, VV; LEES, MH; DONGARRA, J; SLOOT, PMA. Topological Street-Network Characterization Through Feature-Vector and Cluster Analysis. COMPUTATIONAL SCIENCE - ICCS 2018, PT I, v. 10860, p. 14-pg., 2018-01-01. (16/17078-0, 17/08376-0, 14/25337-0)

CABRAL, EUGENIO F.; CORDEIRO, ROBSON L. F.; ASSOC COMP MACHINERY. Fast and Scalable Outlier Detection with Sorted Hypercubes. CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, v. N/A, p. 10-pg., 2020-01-01. (18/05714-5, 16/17078-0)

BISPO JUNIOR, ALTAMIR GOMES; FERREIRA CORDEIRO, ROBSON LEONARDO; RODRIGUES, JMF; CARDOSO, PJS; MONTEIRO, J; LAM, R; KRZHIZHANOVSKAYA, VV; LEES, MH; DONGARRA, JJ; SLOOT, PMA. Fast and Scalable Outlier Detection with Metric Access Methods. COMPUTATIONAL SCIENCE - ICCS 2019, PT II, v. 11537, p. 15-pg., 2019-01-01. (16/17078-0, 18/05714-5)

GIUNTINI, FELIPE T.; CAZZOLATO, MIRELA T.; DOS REIS, MARIA DE JESUS DUTRA; CAMPBELL, ANDREW T.; TRAINA, AGMA J. M.; UEYAMA, JO. A review on recognizing depression in social networks: challenges and opportunities. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, v. 11, n. 11, SI, p. 4713-4729, NOV 2020. (16/17078-0, 18/17335-9, 13/07375-0, 18/24414-2)

MAGALHAES TENORIO, ARIANE PRISCILLA; FERREIRA-JUNIOR, JOSE RANIERY; DALTO, VITOR FAEDA; FALEIROS, MATHEUS CALIL; ASSAD, RODRIGO LUPPINO; LOUZADA-JUNIOR, PAULO; NOGUEIRA-BARBOSA, MARCELLO HENRIQUE; RANGAYYAN, RANGARAJ MANDAYAM; DE AZEVEDO-MARQUES, PAULO MAZZONCINI. adiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthriti. JOURNAL OF DIGITAL IMAGING, v. 35, n. 1, JAN 2022. (14/50889-7, 16/17078-0)

CAZZOLATO, MIRELA T.; TRAINA, AGMA J. M.; BOHM, KLEMENS. Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution. INFORMATION SYSTEMS, v. 105, MAR 2022. (20/11258-2, 16/17078-0, 20/07200-9, 18/24414-2)

CAZZOLATO, MIRELA T.; SCABORA, LUCAS C.; NESSO-JR, MARCOS R.; MILANO-OLIVEIRA, LUIS F.; COSTA, ALCEU F.; KASTER, DANIEL S.; KOENIGKAM-SANTOS, MARCEL; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; TRAINA-JR, CAETANO; TRAINA, AGMA J. M.. dp-BREATH: Heat maps and probabilistic classification assisting the analysis of abnormal lung regions. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 173, p. 27-34, MAY 2019. (16/17078-0, 16/17330-1, 18/24414-2)

SPADON, GABRIEL; BRANDOLI, BRUNO; ELER, DANILO M.; RODRIGUES-, JR., JOSE F.. Detecting multi-scale distance-based inconsistencies in cities through complex-networks. JOURNAL OF COMPUTATIONAL SCIENCE, v. 30, p. 209-222, JAN 2019. (17/08376-0, 16/02557-0, 16/17078-0)

FERREIRA-JUNIOR, JOSE RANIERY; KOENIGKAM-SANTOS, MARCEL; MAGALHAES TENORIO, ARIANE PRISCILLA; FALEIROS, MATHEUS CALIL; GARCIA CIPRIANO, FEDERICO ENRIQUE; FABRO, ALEXANDRE TODOROVIC; NAPPI, JANNE; YOSHIDA, HIROYUKI; DE AZEVEDO-MARQUES, PAULO MAZZONCINI. CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, v. 15, n. 1, NOV 2019. (14/50889-7, 16/17078-0)

LINARES, OSCAR CUADROS; FAICAL, BRUNO S.; BARBOSA, PAULO RENATO C.; HAMANN, BERND; FABRO, ALEXANDRE T.; TRAINA, AGMA J. M.; IEEE. How to Automatically Identify Regions of Interest in High-resolution Images of Lung Biopsy for Interstitial Fibrosis Diagnosis. 2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 4-pg., 2019-01-01. (16/17078-0, 18/06228-7, 18/06074-0)

ZAGHIR, JAMIL; RODRIGUES-JR, JOSE F.; GOEURIOT, LORRAINE; AMER-YAHIA, SIHEM. Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts. JOURNAL OF HEALTHCARE INFORMATICS RESEARCH, JUN 2021. (18/17620-5, 16/17078-0)

RAMOS, JONATHAN S.; MACIEL, JAMILLY G.; CAZZOLATO, MIRELA T.; TRAINA JR, CAETANO; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, AGMA J. M.; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; KANE, B; et al. BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2021-01-01. (20/11258-2, 17/23780-2, 20/07200-9, 16/17078-0, 18/04266-9)

LINHARES, CLAUDIO D. G.; LIMA, DANIEL M.; BONES, CHRISTIAN C.; REBELO, MARINA F. S.; GUTIERREZ, MARCO A.; TRAINA JR, CAETANO; TRAINA, AGMA J. M.; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; et al. I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2021-01-01. (20/07200-9, 16/17078-0, 19/04660-1, 20/10049-0)

RAMOS, JONATHAN S.; CAZZOLATO, MIRELA T.; FAICAL, BRUNO S.; LINARES, OSCAR A. C.; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; IEEE. Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg. 2019 32ND SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2019-01-01. (18/24414-2, 16/17078-0, 17/23780-2, 18/06228-7)

SILVA, WELLINGTON S.; JASBICK, DANIEL L.; WILSON, RODRIGO E.; AZEVEDO-MARQUES, PAULO M.; TRAINA, AGMA J. M.; SANTOS, LUCIO F. D.; JORGE, ANA E. S.; DE OLIVEIRA, DANIEL; BEDO, MARCOS V. N.; IEEE. A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds. 2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2019-01-01. (16/17078-0)

LIMA, DANIEL M.; GRAVES, CATHARINE, V; GUTIERREZ, MARCO A.; BRANDOLI, BRUNO; RODRIGUES JR, JOSE F.; SCLAROFF, S; DISTANTE, C; LEO, M; FARINELLA, GM; TOMBARI, F. Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI. IMAGE ANALYSIS AND PROCESSING, ICIAP 2022, PT I, v. 13231, p. 13-pg., 2022-01-01. (16/17078-0, 18/11424-0)

CHINO, DANIEL Y. T.; SCABORA, LUCAS C.; CAZZOLATO, MIRELA T.; JORGE, ANA E. S.; TRAINA-, JR., CAETANO; TRAINA, AGMA J. M.. Segmenting skin ulcers and measuring the wound area using deep convolutional networks. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 191, JUL 2020. (16/17078-0, 16/17330-1, 14/25125-3, 18/24414-2)

SUNDERMANN, CAMILA VACCARI; DE PADUA, RENAN; TONON, VITOR RODRIGUES; MARCACINI, RICARDO MARCONDES; DOMINGUES, MARCOS AURELIO; REZENDE, SOLANGE OLIVEIRA. A context-aware recommender method based on text and opinion mining. EXPERT SYSTEMS, v. 37, n. 6, SI, AUG 2020. (16/17078-0, 18/04651-0)

MALAQUIAS JUNIOR, ROSEVAL DONISETE; PAIVA, CLAUDIO EDUARDO; BUENO, RENATO; BANISSI, E; KHOSROW-SHAHI, F; URSYN, A; BANNATYNE, MWM; PIRES, JM; DATIA, N; NAZEMI, K; et al. Visualization of similarity queries in an immersive virtual reality environment. 2020 24TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV 2020), v. N/A, p. 6-pg., 2020-01-01. (16/17078-0)

BRINIS, SAFIA; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.. Hollow-tree: a metric access method for data with missing values. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, v. 53, n. 3, p. 28-pg., 2019-12-01. (16/17078-0)

MALAQUIAS JUNIOR, ROSEVAL DONISETE; BUENO, RENATO; BANISSI, E; URSYN, A; BANNATYNE, MWM; PIRES, JM; DATIA, N; HUANG, ML; HUANG, W; NGUYEN, QV; et al. Visualization of trajectory-based queries in images database. 2021 25TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): AI & VISUAL ANALYTICS & DATA SCIENCE, v. N/A, p. 6-pg., 2021-01-01. (16/17078-0)

OLIVA, SAMUEL ZANFERDINI; FELIPE, JOAQUIM CEZAR; ROCHA, A; FERRAS, C; MARIN, CEM; GARCIA, VHM. Walk-Based Diversification for Data Summarization. INFORMATION TECHNOLOGY AND SYSTEMS, ICITS 2020, v. 1137, p. 10-pg., 2020-01-01. (16/17078-0)

BRINIS, SAFIA; TRAINA, JR., CAETANO; TRAINA, AGMA J. M.. Hollow-tree: a metric access method for data with missing values. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, v. 53, n. 3, SI, p. 481-508, DEC 2019. (16/17078-0)

LINHARES, CLAUDIO D. G.; PONCIANO, JEAN R.; PAIVA, JOSE GUSTAVO S.; TRAVENCOLO, BRUNO A. N.; ROCHA, LUIS E. C.. A comparative analysis for visualizing the temporal evolution of contact networks: a user study. JOURNAL OF VISUALIZATION, JUN 2021. (20/10049-0, 16/17078-0)

JASBICK, DANIEL; SANTOS, LUCIO; AZEVEDO-MARQUES, PAULO M.; TRAINA, AGMA J. M.; DE OLIVEIRA, DANIEL; BEDO, MARCOS. Pushing diversity into higher dimensions: The LID effect on diversified similarity searching. INFORMATION SYSTEMS, v. 114, p. 16-pg., 2023-01-28. (16/17078-0, 21/06564-0)

DE PADUA, RENAN; DO CARMO, LAIS PESSINE; REZENDE, SOLANGE OLIVEIRA; DE CARVALHO, VERONICA OLIVEIRA; IEEE. An Analysis on Community Detection and Clustering Algorithms on the Post-Processing of Association Rules. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 7-pg., 2018-01-01. (16/17078-0)

DE PADUA, RENAN; CALCADA, DARIO BRITO; DE CARVALHO, VERONICA OLIVEIRA; REZENDE, SOLANGE OLIVEIRA; IEEE. Exploring the data using Extended Association Rule Network. 2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), v. N/A, p. 6-pg., 2018-01-01. (16/17078-0)

RAMOS, JONATHAN S.; CAZZOLATO, MIRELA T.; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, AGMA J. M.; ACM. FINE: Improving time and precision of segmentation techniques for vertebral compression fractures in MRI. PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20), v. N/A, p. 4-pg., 2020-01-01. (18/24414-2, 16/17078-0, 17/23780-2)

DE SOUSA, ROGERIO ADRIANO; MIEKO OMOTO, ANA CAROLINA; FAZAN JUNIOR, RUBENS; FELIPE, JOAQUIM CEZAR; ROCHA, A; FERRAS, C; MARIN, CEM; GARCIA, VHM. Automatic Processing of Histological Imaging to Aid Diagnosis of Cardiac Remodeling. INFORMATION TECHNOLOGY AND SYSTEMS, ICITS 2020, v. 1137, p. 8-pg., 2020-01-01. (16/17078-0)

MILON-FLORES, DANIELA F.; CORDEIRO, ROBSON L. F.. How to take advantage of behavioral features for the early detection of grooming in online conversations. KNOWLEDGE-BASED SYSTEMS, v. 240, p. 29-pg., 2022-01-22. (20/07200-9, 16/17078-0, 18/05714-5)

SPADON, GABRIEL; HONG, SHENDA; BRANDOLI, BRUNO; MATWIN, STAN; RODRIGUES-JR, JOSE F.; SUN, JIMENG. Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v. 44, n. 9, p. 17-pg., 2022-09-01. (16/17078-0, 20/07200-9, 18/17620-5, 17/08376-0, 14/25337-0, 19/04461-9)

CLEMENTINO JR, JOSE M.; BONES, CHRISTIAN C.; FAICAL, BRUNO S.; LINARES, OSCAR C.; LIMA, DANIEL M.; GUTIERREZ, MARCO A.; TRAINA JR, CAETANO; TRAINA, AGMA J. M.; DEHERRERA, AGS; GONZALEZ, AR; et al. Bag-of-Attributes Representation: a Vector Space Model for Electronic Health Records Analysis in OMOP. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., 2020-01-01. (18/06228-7, 16/17078-0, 20/07200-9, 19/04660-1, 18/06074-0)

RODRIGUES, JOSE F., JR.; PEPIN, JEAN-LOUIS; GOEURIOT, LORRAINE; AMER-YAHIA, SIHEM; ASSOC COMP MACHINERY. An Extensive Investigation of Machine Learning Techniques for Sleep Apnea Screening. CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, v. N/A, p. 8-pg., 2020-01-01. (18/17620-5, 16/17078-0)

SCHEICHER, RICARDO B.; SINOARA, ROBERTA A.; FELINTO, JONAS C.; REZENDE, SOLANGE O.; ASSOC COMP MACHINERY. Sentiment classification improvement using semantically enriched information. DOCENG'19: PROCEEDINGS OF THE ACM SYMPOSIUM ON DOCUMENT ENGINEERING 2019, v. N/A, p. 4-pg., 2019-01-01. (16/17078-0)

BLANCO, GUSTAVO; TRAINA, AGMA J. M.; TRAINA JR, CAETANO; AZEVEDO-MARQUES, PAULO M.; JORGE, ANA E. S.; DE OLIVEIRA, DANIEL; BEDO, MARCOS V. N.. A superpixel-driven deep learning approach for the analysis of dermatological wounds. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 183, JAN 2020. (16/17078-0)

OLIVEIRA, PAULO H.; SCABORA, LUCAS C.; CAZZOLATO, MIRELA T.; OLIVEIRA, WILLIAN D.; PAIXAO, RAFAEL S.; TRAINA, AGMA J. M.; TRAINA, CAETANO. Employing Domain Indexes to Efficiently Query Medical Data From Multiple Repositories. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, v. 23, n. 6, p. 2220-2229, NOV 2019. (16/17078-0, 15/15392-7, 16/17330-1)

ROCHA, LUIS E. C.; HOLME, PETTER; LINHARES, CLAUDIO D. G.. The global migration network of sex-workers. JOURNAL OF COMPUTATIONAL SOCIAL SCIENCE, v. 5, n. 1, p. 17-pg., 2022-01-13. (16/17078-0, 20/10049-0)

RODRIGUES, LUCAS S.; VESPA, THIAGO G.; ELEUTERIO, IGOR A. R.; OLIVEIRA, WILLIAN D.; TRAINA, AGMA J. M.; TRAINA JR, CAETANO; GROEN, D; DEMULATIER, C; PASZYNSKI, M; KRZHIZHANOVSKAYA, VV; et al. MiDaS: Extract Golden Results from Knowledge Discovery Even over Incomplete Databases. COMPUTATIONAL SCIENCE, ICCS 2022, PT IV, v. N/A, p. 15-pg., 2022-01-01. (16/17078-0, 20/10902-5, 20/07200-9)

FRANCISCO, VICTOR; KOENIGKAM-SANTOS, MARCEL; WADA, DANILO TADAO; FERREIRA JUNIOR, JOSE RANIERY; FABRO, ALEXANDRE TODOROVIC; GARCIA CIPRIANO, FEDERICO ENRIQUE; QUATRINA, SATHYA GERALDO; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; COSTAFELIX, R; MACHADO, JC; et al. Computer-Aided Diagnosis of Lung Cancer in Magnetic Resonance Imaging Exams. XXVI BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2018, VOL. 2, v. 70, n. 2, p. 7-pg., 2019-01-01. (16/17078-0)

MAGALHAES TENORIO, ARIANE PRISCILLA; FALEIROS, MATHEUS CALIL; FERREIRA JUNIOR, JOSE RANIERY; DALTO, VITOR FAEDA; ASSAD, RODRIGO LUPPINO; LOUZADA-JUNIOR, PAULO; YOSHIDA, HIROYUKI; NOGUEIRA-BARBOSA, MARCELLO HENRIQUE; DE AZEVEDO-MARQUES, PAULO MAZZONCINI. A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, v. 15, n. 10, JUN 2020. (16/17078-0, 14/50889-7)

FLOREZ, ALEXANDER Y. C.; SCABORA, LUCAS; ELER, DANILO M.; RODRIGUES-JR, JOSE F.; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; KANE, B; TRAINA, A; SODA, P; et al. APEHR: Automated Prognosis in Electronic Health Records using multi-head self-attention. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2021-01-01. (16/17330-1, 18/17620-5, 16/17078-0)

DE OLIVEIRA NOVAES, JOAO VICTOR; DUTRA SANTOS, LUCIO FERNANDES; TRAINA, AGMA JUCI MACHADO; TRAINA, CAETANO, JR.; CHIUSANO, S; CERQUITELLI, T; WREMBEL, R. ORTree: Tuning Diversified Similarity Queries by Means of Data Partitioning. ADVANCES IN DATABASES AND INFORMATION SYSTEMS, ADBIS 2022, v. 13389, p. 14-pg., 2022-01-01. (16/17078-0, 20/07200-9)

BRANDOLI, BRUNO; DE GEUS, ANDRE R.; SOUZA, JEFFERSON R.; SPADON, GABRIEL; SOARES, AMILCAR; RODRIGUES, JR., JOSE F.; KOMOROWSKI, JERZY; MATWIN, STAN. Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. SENSORS, v. 21, n. 12, JUN 2021. (17/08376-0, 18/17620-5, 19/04461-9, 20/07200-9, 16/17078-0, 14/25337-0)

CAZZOLATO, MIRELA T.; RAMOS, JONATHAN S.; RODRIGUES, LUCAS S.; SCABORA, LUCAS C.; CHINO, DANIEL Y. T.; JORGE, ANA E. S.; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; JR, CAETANO TRAINA; TRAINA, AGMA J. M.. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. COMPUTERS IN BIOLOGY AND MEDICINE, v. 134, JUL 2021. (18/24414-2, 16/17078-0, 16/17330-1, 20/07200-9, 20/11258-2, 20/10902-5)

SPADON, GABRIEL; DE CARVALHO, ANDRE C. P. L. F.; RODRIGUES-JR, JOSE F.; ALVES, LUIZ G. A.. Reconstructing commuters network using machine learning and urban indicators. SCIENTIFIC REPORTS, v. 9, AUG 13 2019. (16/17078-0, 17/08376-0, 19/04461-9, 13/07375-0, 16/16987-7, 16/18615-0, 14/25337-0)

TRAINA, AGMA J. M.; BRINIS, SAFIA; PEDROSA, V, GLAUCO; AVAIHAIS, LETRICIA P. S.; TRAINA JR, CAETANO. Querying on large and complex databases by content: Challenges on variety and veracity regarding real applications. INFORMATION SYSTEMS, v. 86, p. 10-27, DEC 2019. (16/17078-0, 13/27101-1)

MONTEIRO OLIVEIRA, JADSON JOSE; FERREIRA CORDEIRO, ROBSON LEONARDO. Unsupervised dimensionality reduction for very large datasets: Are we going to the right direction?. KNOWLEDGE-BASED SYSTEMS, v. 196, MAY 21 2020. (16/17078-0, 18/05714-5)

GIUNTINI, FELIPE TALIAR; DE MORAES, KAUE L.; CAZZOLATO, MIRELA T.; KIRCHNER, LUZIANE DE FATIMA; DOS REIS, MARIA DE JESUS D.; TRAINA, AGMA J. M.; CAMPBELL, ANDREW T.; UEYAMA, JO. Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks. IEEE ACCESS, v. 9, p. 93182-93194, 2021. (13/07375-0, 20/11258-2, 18/24414-2, 18/17335-9, 16/17078-0, 20/07200-9)

GIUNTINI, FELIPE TALIAR; DE MORAES, KAUE L. P.; CAZZOLATO, MIRELA T.; KIRCHNER, LUZIANE DE FATIMA; DOS REIS, MARIA DE JESUS D.; TRAINA, AGMA J. M.; CAMPBELL, ANDREW T.; UEYAMA, JO. Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining. IEEE ACCESS, v. 9, p. 97621-97635, 2021. (18/24414-2, 20/07200-9, 13/07375-0, 16/17078-0, 20/11258-2, 18/17335-9)

CLEMENTINO, JOSE M., JR.; FAICAL, BRUNO S.; BONES, CHRISTIAN C.; TRAINA, CAETANO, JR.; GUTIERREZ, MARCO A.; TRAINA, AGMA J. M.; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; KANE, B; et al. Multilevel Clustering Explainer: An Explainable Approach to Electronic Health Records. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2021-01-01. (20/07200-9, 16/17078-0, 18/06074-0, 19/04660-1, 18/06228-7)

MARCOMINI, KAREM DAIANE; CARDONA CARDENAS, DIEGO ARMANDO; MACHADO TRAINA, AGMA JUCI; KRIEGER, JOSE EDUARDO; GUTIERREZ, MARCO ANTONIO; DRUKKER, K; IFTEKHARUDDIN, KM. A deep learning approach for COVID-19 screening and localization on Chest X-Ray images. MEDICAL IMAGING 2022: COMPUTER-AIDED DIAGNOSIS, v. 12033, p. 9-pg., 2022-01-01. (20/07200-9, 16/17078-0, 20/14180-4)

DE AGUIAR, ERIKSON J.; MARCOMINI, KAREM D.; QUIRINO, FELIPE A.; GUTIERREZ, MARCO A.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; DRUKKER, K; IFTEKHARUDDIN, KM. Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases. MEDICAL IMAGING 2022: COMPUTER-AIDED DIAGNOSIS, v. 12033, p. 7-pg., 2022-01-01. (20/07200-9, 16/17078-0, 20/14180-4)

PEREIRA, JULIANA WOLF; RIBEIRO, MARCELA XAVIER; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; KANE, B; TRAINA, A; SODA, P; OLIVEIRA, JL. Semantic Annotation and Classification of Mammography Images using Ontologies. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2021-01-01. (16/17078-0)

RODRIGUES-JR, JOSE F.; SPADON, GABRIEL; BRANDOLI, BRUNO; AMER-YAHIA, SIHEM; DEHERRERA, AGS; GONZALEZ, AR; SANTOSH, KC; TEMESGEN, Z; KANE, B; SODA, P. Lig-Doctor: real-world clinical prognosis using a bi-directional neural network. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 4-pg., 2020-01-01. (16/17078-0, 18/17620-5, 17/08376-0)

SINOARA, ROBERTA A.; CAMACHO-COLLADOS, JOSE; ROSSI, RAFAEL G.; NAVIGLI, ROBERTO; REZENDE, SOLANGE O.. Knowledge-enhanced document embeddings for text classification. KNOWLEDGE-BASED SYSTEMS, v. 163, p. 955-971, JAN 1 2019. (16/17078-0, 13/14757-6, 16/07620-2)

RODRIGUES-, JR., JOSE F.; GUTIERREZ, MARCO A.; SPADON, GABRIEL; BRANDOLI, BRUNO; AMER-YAHIA, SIHEM. LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks. INFORMATION SCIENCES, v. 545, p. 813-827, FEB 4 2021. (18/17620-5, 16/17078-0, 17/08376-0)

ALVES, MATHEUS A. C.; CORDEIRO, ROBSON L. F.. Effective and unburdensome forecast of highway traffic flow with adaptive computing. KNOWLEDGE-BASED SYSTEMS, v. 212, JAN 5 2021. (20/07200-9, 18/05714-5, 16/17078-0)

LINHARES, CLAUDIO D. G.; PONCIANO, JEAN R.; PAIVA, JOSE GUSTAVO S.; TRAVENCOLO, BRUNO A. N.; ROCHA, LUIS E. C.. A comparative analysis for visualizing the temporal evolution of contact networks: a user study. JOURNAL OF VISUALIZATION, v. 24, n. 5, p. 1011-1031, OCT 2021. (16/17078-0, 20/10049-0)

PONCIANO, JEAN R.; LINHARES, CLAUDIO D. G.; ROCHA, LUIS E. C.; FARIA, ELAINE R.; TRAVENCOLO, BRUNO A. N.; ACM. Combining clutter reduction methods for temporal network visualization. 37TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, v. N/A, p. 8-pg., 2022-01-01. (20/10049-0, 16/17078-0, 20/07200-9)

CARVALHO, CARLOS ROBERTO RIBEIRO; LAMAS, CELINA ALMEIDA; CHATE, RODRIGO CARUSO; SALGE, JOAO MARCOS; SAWAMURA, MARCIO VALENTE YAMADA; DE ALBUQUERQUE, ANDRE L. P.; TOUFEN JR, CARLOS; LIMA, DANIEL MARIO; GARCIA, MICHELLE LOUVAES; SCUDELLER, PAULA GOBI; et al. Long-term respiratory follow-up of ICU hospitalized COVID-19 patients: Prospective cohort study. PLoS One, v. 18, n. 1, p. 16-pg., 2023-01-20. (14/50889-7, 16/17078-0)

BEDO, MARCOS; RAMOS, JONATHAN S.; TRAINA, AGMA J. M.; TRAINA JR, CAETANO; NOGUEIRA-BARBOSA, MARCELLO H.; AZEVEDO-MARQUES, PAULO M.; SHEN, L; GONZALEZ, AR; SANTOSH, KC; LAI, Z; et al. Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. 2022 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2022-01-01. (16/17078-0, 21/06564-0)

RODRIGUES, LUCAS SANTIAGO; CAZZOLATO, MIRELA TEIXEIRA; MACHADO TRAINA, AGMA JUCI; TRAINA JR, CAETANO; SATOH, S; ZIMEK, A; BARTOLINI, I; JONSSON, BP; VADICAMO, L; CARRARA, F; et al. Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values. SIMILARITY SEARCH AND APPLICATIONS, SISAP 2020, v. 12440, p. 9-pg., 2020-01-01. (20/07200-9, 18/24414-2, 16/17078-0, 20/10902-5)

COSTA, MARCUS V. L.; DE AGUIAR, ERIKSON J.; RODRIGUES, LUCAS S.; RAMOS, JONATHAN S.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; ALMEIDA, JR; SPILIOPOULOU, M; ANDRADES, JAB; PLACIDI, G; et al. A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model. 2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS, v. N/A, p. 6-pg., 2023-01-01. (16/17078-0, 20/07200-9, 21/08982-3)

PEREIRA, JULIANA WOLF; RIBEIRO, MARCELA XAVIER; SHEN, L; GONZALEZ, AR; SANTOSH, KC; LAI, Z; SICILIA, R; ALMEIDA, JR; KANE, B. Hyperparameter for Deep Learning Applied in Mammogram Image Classification. 2022 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2022-01-01. (16/17078-0)

CHIARI-CORREIA, NATALIA S.; NOGUEIRA-BARBOSA, MARCELLO H.; CHIARI-CORREIA, RODOLFO DIAS; AZEVEDO-MARQUES, PAULO M.. A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI. JOURNAL OF DIGITAL IMAGING, v. 36, n. 4, p. 13-pg., 2023-05-30. (16/17078-0)

ZABOT, GUILHERME F.; CAZZOLATO, MIRELA T.; SCABORA, LUCAS C.; TRAINA, AGMA J. M.; TRAINA-, CAETANO, JR.; IEEE. Efficient Indexing of Multiple Metric Spaces with Spectra. 2019 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM 2019), v. N/A, p. 8-pg., 2019-01-01. (18/24414-2, 16/17078-0, 16/17330-1)

CHINO, DANIEL Y. T.; SCABORA, LUCAS C.; CAZZOLATO, MIRELA T.; JORGE, ANA E. S.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; HOLLMEN, J; MCGREGOR, C; SODA, P; KANE, B. ICARUS: Retrieving Skin Ulcer Images Through Bag-of-Signatures. 2018 31ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS 2018), v. N/A, p. 6-pg., 2018-01-01. (14/25125-3, 16/17078-0, 16/17330-1)

SPADON, GABRIEL; MACHADO, BRUNO B.; ELER, DANILO M.; RODRIGUES JR, JOSE F.; SHI, Y; FU, H; TIAN, Y; KRZHIZHANOVSKAYA, VV; LEES, MH; DONGARRA, J; et al. A Distance-Based Tool-Set to Track Inconsistent Urban Structures Through Complex-Networks. COMPUTATIONAL SCIENCE - ICCS 2018, PT I, v. 10860, p. 14-pg., 2018-01-01. (16/17078-0, 17/08376-0)

LINHARES, CLAUDIO D. G.; LIMA, DANIEL M.; PONCIANO, JEAN R.; OLIVATTO, MAURO M.; GUTIERREZ, MARCO A.; POCO, JORGE; TRAINA JR, CAETANO; TRAINA, AGMA J. M.. ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v. 29, n. 10, p. 16-pg., 2023-10-01. (20/10049-0, 16/17078-0, 20/07200-9)

CAZZOLATO, MIRELA T.; TRAINA, AGMA J. M.; BOEHM, KLEMENS; CUZZOCREA, A; ALLAN, J; PATON, N; SRIVASTAVA, D; AGRAWAL, R; BRODER, A; ZAKI, M; et al. Efficient and Reliable Estimation of Cell Positions. CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, v. N/A, p. 10-pg., 2018-01-01. (16/17078-0)

TRAINA, CAETANO, JR.; MORIYAMA, ANDRE; ROCHA, GUILHERME; CORDEIRO, ROBSON; CIFERRI, CRISTINA D. A.; TRAINA, AGMA; ASSOC COMP MACHINERY. The SIMILARQL framework: similarity queries in plain SQL. SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING, v. N/A, p. 4-pg., 2019-01-01. (18/05714-5, 16/17078-0, 18/22277-8)

ZABOT, GUILHERME F.; CAZZOLATO, MIRELA T.; SCABORA, LUCAS C.; FAICAL, BRUNO S.; TRAINA, AGMA J. M.; TRAINA, CAETANO, JR.; IEEE. UCORM: Indexing Uncorrelated Metric Spaces for Concise Content-Based Retrieval of Medical Images. 2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2019-01-01. (18/24414-2, 16/17078-0, 18/06228-7, 16/17330-1)

RAMOS, JONATHAN S.; CAZZOLATO, MIRELA T.; FAICAL, BRUNO S.; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; IEEE. 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. 2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2019-01-01. (18/24414-2, 17/23780-2, 18/06228-7, 16/17078-0)

RODRIGUES-JR, JOSE F.; BRANDOLI, BRUNO; AMER-YAHIA, SIHEM; DEHERRERA, AGS; GONZALEZ, AR; SANTOSH, KC; TEMESGEN, Z; KANE, B; SODA, P. DermaDL: advanced Convolutional Neural Networks for automated melanoma detection. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., 2020-01-01. (18/17620-5, 16/17078-0)

LINARES, OSCAR CUADROS; SORIANO-VARGAS, AUREA AUREA; FAICAL, BRUNO S.; HAMANN, BERND; FABRO, ALEXANDRE T.; TRAINA, AGMA J. M.; DEHERRERA, AGS; GONZALEZ, AR; SANTOSH, KC; TEMESGEN, Z; et al. Efficient Segmentation of Cell Nuclei in Histopathological Images. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., 2020-01-01. (16/17078-0, 18/06228-7, 18/06074-0, 20/07200-9)

PAIVA, CLAUDIO EDUARDO; BUENO, RENATO; BANISSI, E; URSYN, A; BANNATYNE, MWM; DATIA, N; FRANCESE, R; SARFRAZ, M; WYELD, TG; BOUALI, F; et al. Delimitation of regions of interest in similarity queries visualization. 2019 23RD INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): BIOMEDICAL VISUALIZATION AND GEOMETRIC MODELLING & IMAGING, v. N/A, p. 6-pg., 2019-01-01. (16/17078-0)

REAL, LUIZ GUSTAVO S.; BUENO, RENATO; RIBEIRO, MARCELA X.; BANISSI, E; URSYN, A; BANNATYNE, MWM; DATIA, N; FRANCESE, R; SARFRAZ, M; WYELD, TG; et al. Evaluating boundary conditions and hierarchical visualization in CBIR. 2019 23RD INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): BIOMEDICAL VISUALIZATION AND GEOMETRIC MODELLING & IMAGING, v. N/A, p. 6-pg., 2019-01-01. (16/17078-0)