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ORCIDJoaquim Cezar Felipe
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2020 – today
- 2024
[j12]Matheus de Freitas Oliveira Baffa
, Denise Maria Zezell, Luciano Bachmann, Thiago Martini Pereira, Thomas Martin Deserno, Joaquim Cezar Felipe:
Deep neural networks can differentiate thyroid pathologies on infrared hyperspectral images. Comput. Methods Programs Biomed. 247: 108100 (2024)- 2023
- [j11]Matheus de Freitas Oliveira Baffa, João Guilherme Pereira, Fabrício Henrique Simozo, Luiz Otávio Murta Júnior, Joaquim Cezar Felipe:
Focal cortical dysplasia classification for refractory epilepsy detection using artificial neural network. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 326-330 (2023) - [j10]Frederico Barbosa Muniz, Matheus de Freitas Oliveira Baffa, Sergio Britto Garcia, Luciano Bachmann, Joaquim Cezar Felipe:
Histopathological diagnosis of colon cancer using micro-FTIR hyperspectral imaging and deep learning. Comput. Methods Programs Biomed. 231: 107388 (2023) - [c29]Matheus de Freitas Oliveira Baffa, Luciano Bachmann, Denise Maria Zezell, Thiago Martini Pereira, Thomas Martin Deserno, Joaquim Cezar Felipe:
Advancing Thyroid Pathologies Detection with Recurrent Neural Networks and Micro-FTIR Hyperspectral Imaging. CBMS 2023: 611-615 - [c28]Octavio Xavier Furio, Carlos Eduardo Rodrigues Dos Santos, Arthur Melo De Oliveira, Matheus de Freitas Oliveira Baffa, Joaquim Cezar Felipe:
Breast Cancer Detection in Histological Images Using Radiomic Features and Fully Connected Neural Networks. SITIS 2023: 153-157 - [c27]Matheus de Freitas Oliveira Baffa, Joaquim Cezar Felipe, João Victor Gomes Martins, Alessandra Marins Coelho:
Radiomic Features for Diabetic Retinopathy Early Detection Using Deep Neural Networks. SITIS 2023: 281-286 - 2022
- [c26]Matheus de Freitas Oliveira Baffa, Fernando Lucas Lima Martins, Alessandra Martins Coelho, Joaquim Cezar Felipe:
COVID-19 and Viral Pneumonia Classification Using Radiomic Features and Deep Learning. SITIS 2022: 380-385 - 2021
- [j9]Vanessa De Araujo Faria, Mehran Azimbagirad, Gustavo Viani Arruda, Juliana Fernandes Pavoni, Joaquim Cezar Felipe, Elza Maria Carneiro Mendes Ferreira dos Santos, Luiz Otávio Murta Júnior:
Prediction of Radiation-Related Dental Caries Through PyRadiomics Features and Artificial Neural Network on Panoramic Radiography. J. Digit. Imaging 34(5): 1237-1248 (2021) - [c25]Davidson Lucas De Souza, Alessandra Martins Coelho, Joaquim Cezar Felipe, Matheus de Freitas Oliveira Baffa:
Brain Tumor Classification on Multi-Modality MRI Using Radiomic Features. BIBM 2021: 1799-1804 - [c24]Matheus de Freitas Oliveira Baffa, Luciano Bachmann, Thiago Martini Pereira, Joaquim Cezar Felipe:
Hyperspectral Signal Analysis for Thyroid Neoplasm Typification On Infrared Spectrum. CBMS 2021: 131-136 - 2020
- [c23]Samuel Zanferdini Oliva, Joaquim Cezar Felipe:
Walk-Based Diversification for Data Summarization. ICITS 2020: 152-161 - [c22]Rogério Adriano de Sousa, Ana Carolina Mieko Omoto, Rubens Fazan Junior, Joaquim Cezar Felipe:
Automatic Processing of Histological Imaging to Aid Diagnosis of Cardiac Remodeling. ICITS 2020: 375-382
2010 – 2019
- 2018
- [j8]Luiz Eduardo Virgilio da Silva, Juliano Jinzenji Duque, Joaquim Cezar Felipe, Luiz Otávio Murta, Anne Humeau-Heurtier:
Two-dimensional multiscale entropy analysis: Applications to image texture evaluation. Signal Process. 147: 224-232 (2018) - 2017
- [j7]Yuri Ferretti, Newton Shydeo Brandão Miyoshi, Wilson Araújo Silva Jr., Joaquim Cezar Felipe:
BioBankWarden: A web-based system to support translational cancer research by managing clinical and biomaterial data. Comput. Biol. Medicine 84: 254-261 (2017) - 2016
- [j6]Alessandra A. Macedo, Hugo Cesar Pessotti, Luciana Farina Almansa, Joaquim Cezar Felipe, Edna T. Kimura:
Morphometric information to reduce the semantic gap in the characterization of microscopic images of thyroid nodules. Comput. Methods Programs Biomed. 130: 162-174 (2016) - [j5]Romulo Bourget Novas, Valeria Paula Sassoni Fazan, Joaquim Cezar Felipe:
A New Method for Automated Identification and Morphometry of Myelinated Fibers Through Light Microscopy Image Analysis. J. Digit. Imaging 29(1): 63-72 (2016) - 2015
- [j4]Gisele Helena Barboni Miranda, Joaquim Cezar Felipe:
Computer-aided diagnosis system based on fuzzy logic for breast cancer categorization. Comput. Biol. Medicine 64: 334-346 (2015) - [j3]Jefferson William Teixeira, Luana Peixoto Annibal, Joaquim Cezar Felipe, Ricardo Rodrigues Ciferri, Cristina Dutra de Aguiar Ciferri:
A similarity-based data warehousing environment for medical images. Comput. Biol. Medicine 66: 190-208 (2015) - [c21]Mariana Yuri Sasazaki, Joaquim Cezar Felipe:
A New Ontology-Based Method for Functional Composed Comparison of MicroRNAs. CBMS 2015: 258-263 - 2014
- [c20]Luiz Eduardo Virgilio da Silva, Antonio Carlos da Silva Senra Filho, Valeria Paula Sassoni Fazan, Joaquim Cezar Felipe, Luiz Otávio Murta:
Two-dimensional sample entropy analysis of rat sural nerve aging. EMBC 2014: 3345-3348 - [c19]Thiago Fernandes de Freitas Dias, Domingos Alves, Joaquim Cezar Felipe:
Method for the mapping between health terminologies aiming systems interoperability. Healthcom 2014: 353-357 - 2013
- [j2]Newton Shydeo Brandão Miyoshi, Daniel Guariz Pinheiro, Wilson A. Silva Jr., Joaquim Cezar Felipe:
Computational framework to support integration of biomolecular and clinical data within a translational approach. BMC Bioinform. 14: 180 (2013) - [c18]Romulo Bourget Novas, Valeria Paula Sassoni Fazan, Joaquim Cezar Felipe:
Fully-automatic tool for morphometric analysis of myelinated fibers. CBMS 2013: 161-166 - 2012
- [c17]Francisco R. Pirolla, Marilde Terezinha Prado Santos, Joaquim Cezar Felipe, Marcela X. Ribeiro:
Dimensionality reduction to improve content-based image retrieval: A clustering approach. BIBM Workshops 2012: 752-753 - [c16]Gisele Helena Barboni Miranda, Edson Garcia Soares, Junior Barrera, Joaquim Cezar Felipe:
Method to support diagnosis of cervical intraepithelial neoplasia (CIN) based on structural analysis of histological images. CBMS 2012: 1-6 - [c15]Gisele Helena Barboni Miranda, Junior Barrera, Edson Garcia Soares, Joaquim Cezar Felipe:
Structural Analysis of Histological Images to Aid Diagnosis of Cervical Cancer. SIBGRAPI 2012: 316-323 - 2010
- [c14]Luana Peixoto Annibal, Joaquim Cezar Felipe, Cristina Dutra de Aguiar Ciferri, Ricardo Rodrigues Ciferri:
iCube: A similarity-based data cube for medical images. CBMS 2010: 321-326
2000 – 2009
- 2009
- [j1]Joaquim Cezar Felipe, Caetano Traina Jr., Agma Juci Machado Traina:
A New Family of Distance Functions for Perceptual Similarity Retrieval of Medical Images. J. Digit. Imaging 22(2): 183-201 (2009) - [c13]Luana Peixoto Annibal, Joaquim Cezar Felipe:
An ontology-based framework to support nonintrusive storage and analysis of radiological diagnosis data. CBMS 2009: 1-6 - [c12]Newton Shydeo Brandão Miyoshi, Antonio Augusto Pinto Ferreira, Joaquim Cezar Felipe:
Ontology-based approach to achieve semantic interoperability on exchanging and integrating information about the patient clinical evolution. CBMS 2009: 1-6 - [c11]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: 1-8 - [p1]Marcela X. Ribeiro, André G. R. Balan, Joaquim Cezar Felipe, Agma Juci Machado Traina, Caetano Traina Jr.:
Mining Statistical Association Rules to Select the Most Relevant Medical Image Features. Mining Complex Data 2009: 113-131 - 2008
- [c10]Pedro Henrique Bugatti, Agma J. M. Traina, Joaquim Cezar Felipe, Caetano Traina:
A new method to efficiently reduce histogram dimensionality. Medical Imaging: Computer-Aided Diagnosis 2008: 69152Y - 2007
- [c9]Juliano Jinzenji Duque, Marcio J. Sturzbecher, Draulio B. de Araújo, Joaquim Cezar Felipe:
A New Method for Detection of Active Brain Regions with Event-Related fMRI Time Series Analysis. SIBGRAPI 2007: 329-334 - 2006
- [c8]Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.:
Perceptual Distance Functions for Similarity Retrieval of Medical Images. CIVR 2006: 432-442 - [c7]Joaquim Cezar Felipe, Marcela X. Ribeiro, Elaine P. M. de Sousa, Agma J. M. Traina, Caetano Traina Jr.:
Effective shape-based retrieval and classification of mammograms. SAC 2006: 250-255 - [c6]Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.:
A new similarity measure for histograms applied to content-based retrieval of medical images. SAC 2006: 258-259 - [c5]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: 1398-1399 - 2005
- [b1]Joaquim Cezar Felipe:
Development of methods for extraction, comparison and analysis of intrinsic features of medical images, aiming at perceptual content-based retrieval. University of São Paulo, Brazil, 2005 - [c4]Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.:
Global Warp Metric Distance: Boosting Content-based Image Retrieval through Histograms. ISM 2005: 295-302 - [c3]Joaquim Cezar Felipe, Jonatas B. Olioti, Agma J. M. Traina, Marcela X. Ribeiro, Elaine P. M. de Sousa, Caetano Traina Jr.:
A Low-cost Approach for Effective Shape-based Retrieval and Classification of Medical Images. ISM 2005: 565-570 - 2003
- [c2]Joaquim Cezar Felipe, Agma J. M. Traina, Caetano Traina Jr.:
Retrieval by Content of Medical Images Using Texture for Tissue Identification. CBMS 2003: 175- - 2000
- [c1]Joaquim Cezar Felipe, Marina Teresa Pires Vieira:
Modeling of an Object-Oriented Data Mart for Knowledge Discovery in Multimedia Metadata. SBBD 2000: 302-315
Coauthor Index
aka: Agma Juci Machado Traina
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last updated on 2024-10-07 22:17 CEST by the dblp team
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