Development of new methodologies and machine intelligence-based technological solutions for digital image segmentation and COVID-19 pandemic response

• Grant number: 21/03328-3
• Support Opportunities: Regular Research Grants
• Start date: August 01, 2021
• End date: July 31, 2023
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Wallace Correa de Oliveira Casaca
• Grantee: Wallace Correa de Oliveira Casaca
• Host Institution: Instituto de Biociências, Letras e Ciências Exatas (IBILCE). Universidade Estadual Paulista (UNESP). Campus de São José do Rio Preto. São José do Rio Preto , SP, Brazil
• City of the host institution: São José do Rio Preto

Abstract

This project comprises two distinct research branches: Digital Image Segmentation and Data-Driven Epidemiological Modeling against COVID-19. Our proposal aims at combining theoretical as well as technical advancements as a solution for different applications in the field of Computational Intelligence, whose previous results have been published in high-quality refereed publications such as IEEE CVPR, IEEE TIP and IEEE TPAMI. Considering the image segmentation topic, new concepts and clustering strategies for graphs derived from digital images will be investigated. Also, techniques inspired on spectral cutting and energy minimization rules will be studied, as well as deep learning strategies and graph differential operators in the image processing context, including eigenvalues and eigenfunctions, thus allowing us to design new methodologies and theoretical results. Concerning the Covid-19 research, this proposal extends the ongoing actions and researches now being carried out against the new coronavirus in Brazil, which range from digital inclusion of the Brazilian society to new studies of mathematical models for forecasting coronavirus-related data in the country. (AU)

Scientific publications

(19)

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

ANANIAS, PEDRO HENRIQUE M.; NEGRI, ROGERIO G.; BRESSANE, ADRIANO; COLNAGO, MARILAINE; CASACA, WALLACE. ABD: A machine intelligent-based algal bloom detector for remote sensing images. SOFTWARE IMPACTS, v. 15, p. 3-pg., 2023-02-17. (21/03328-3, 21/01305-6)

ANANIAS, PEDRO HENRIQUE M.; NEGRI, ROGERIO G.; BRESSANE, ADRIANO; DIAS, MAURICIO A.; SILVA, ERIVALDO A.; CASACA, WALLACE. ABF: A data-driven approach for algal bloom forecasting using machine intelligence and remotely sensed data series. SOFTWARE IMPACTS, v. 17, p. 3-pg., 2023-06-13. (21/03328-3, 16/24185-8, 21/01305-6)

AMARAL, FABIO; CASACA, WALLACE; OISHI, CASSIO M.; CUMINATO, JOSE A.. Simulating Immunization Campaigns and Vaccine Protection Against COVID-19 Pandemic in Brazil. IEEE ACCESS, v. 9, p. 126011-126022, 2021. (21/03328-3, 13/07375-0)

COLNAGO, MARILAINE; BENVENUTO, GIOVANA A.; CASACA, WALLACE; NEGRI, ROGERIO G.; FERNANDES, EDER G.; CUMINATO, JOSE A.. Risk Factors Associated with Mortality in Hospitalized Patients with COVID-19 during the Omicron Wave in Brazil. BIOENGINEERING-BASEL, v. 9, n. 10, p. 11-pg., 2022-10-01. (21/03328-3, 13/07375-0, 21/01305-6)

BRUZADIN, ALDIMIR; BOAVENTURA, MAURILIO; COLNAGO, MARILAINE; NEGRI, ROGERIO GALANTE; CASACA, WALLACE. Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19. Neurocomputing, v. 522, p. 15-pg., 2023-02-14. (21/03328-3, 13/07375-0, 21/01305-6)

PARRA, LARISSA M. P.; SANTOS, FABRICIA C.; NEGRI, ROGERIO G.; COLNAGO, MARILAINE; BRESSANE, ADRIANO; DIAS, MAURICIO A.; CASACA, WALLACE. Assessing the impacts of catastrophic 2020 wildfires in the Brazilian Pantanal using MODIS data and Google Earth Engine: A case study in the world's largest sanctuary for Jaguars. EARTH SCIENCE INFORMATICS, v. N/A, p. 11-pg., 2023-08-31. (21/03328-3, 16/24185-8, 21/01305-6)

FONTOURA JUNIOR, C. F. M.; CARDIM, G. P.; NASCIMENTO, E. S.; COLNAGO, M.; CASACA, W. C. DE O.; DA SILVA, E. A.. ASSESSING THE EFFECTIVENESS OF INPAINTING TECHNIQUES FOR ENHANCING FEATURE EXTRACTION QUALITY IN REMOTE SENSING IMAGERY. GEOSPATIAL WEEK 2023, VOL. 10-1, v. N/A, p. 8-pg., 2023-01-01. (21/03328-3, 23/07543-1, 21/12584-3)

NEGRI, ROGERIO G.; LUZ, ANDREA E. O.; FRERY, ALEJANDRO C.; CASACA, WALLACE. Mapping Burned Areas with Multitemporal-Multispectral Data and Probabilistic Unsupervised Learning. REMOTE SENSING, v. 14, n. 21, p. 20-pg., 2022-11-01. (21/01305-6, 21/03328-3)

NEGRI, ROGERIO G.; FRERY, ALEJANDRO C.; CASACA, WALLACE; GAMBA, PAOLO; BHATTACHARYA, AVIK. Unsupervised Multitemporal Triclass Change Detection. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 62, p. 17-pg., 2024-01-01. (21/01305-6, 23/02538-0, 21/03328-3)

BENVENUTO, GIOVANA A.; COLNAGO, MARILAINE; DIAS, MAURICIO A.; NEGRI, ROGERIO G.; SILVA, ERIVALDO A.; CASACA, WALLACE. A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration. BIOENGINEERING-BASEL, v. 9, n. 8, p. 17-pg., 2022-08-01. (13/07375-0, 21/01305-6, 19/26288-7, 21/03328-3)

MARINHO, GIOVANNA CARREIRA; MARCILIO JUNIOR, WILSON ESTECIO; DIAS, MAURICIO ARAUJO; ELER, DANILO MEDEIROS; NEGRI, ROGERIO GALANTE; CASACA, WALLACE. Dimensionality Reduction and Anomaly Detection Based on Kittler's Taxonomy: Analyzing Water Bodies in Two Dimensional Spaces. REMOTE SENSING, v. 15, n. 16, p. 24-pg., 2023-08-01. (16/24185-8, 21/03328-3, 20/06477-7, 21/01305-6)

LUZ, ANDREA ELIZA O.; NEGRI, ROGERIO G.; MASSI, KLECIA G.; COLNAGO, MARILAINE; SILVA, ERIVALDO A.; CASACA, WALLACE. Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection. REMOTE SENSING, v. 14, n. 10, p. 17-pg., 2022-05-01. (21/03328-3, 21/01305-6)

GINO, VINICIUS L. S.; NEGRI, ROGERIO G.; SOUZA, FELIPE N.; SILVA, ERIVALDO A.; BRESSANE, ADRIANO; MENDES, TATIANA S. G.; CASACA, WALLACE. Integrating Unsupervised Machine Intelligence and Anomaly Detection for Spatio-Temporal Dynamic Mapping Using Remote Sensing Image Series. SUSTAINABILITY, v. 15, n. 6, p. 19-pg., 2023-03-01. (21/03328-3, 21/01305-6)

DIAS, MAURICIO ARAUJO; MARINHO, GIOVANNA CARREIRA; NEGRI, ROGERIO GALANTE; CASACA, WALLACE; MUNOZ, IGNACIO BRAVO; ELER, DANILO MEDEIROS. A Machine Learning Strategy Based on Kittler's Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments. REMOTE SENSING, v. 14, n. 9, p. 38-pg., 2022-05-01. (20/06477-7, 21/01305-6, 16/24185-8, 21/03328-3)

ANANIAS, PEDRO HENRIQUE M.; NEGRI, ROGERIO G.; DIAS, MAURICIO A.; SILVA, ERIVALDO A.; CASACA, WALLACE. A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products. REMOTE SENSING, v. 14, n. 17, p. 22-pg., 2022-09-01. (21/03328-3, 21/01305-6, 16/24185-8)

BENVENUTO, GIOVANA AUGUSTA; COLNAGO, MARILAINE; CASACA, WALLACE; IEEE. UNSUPERVISED DEEP LEARNING NETWORK FOR DEFORMABLE FUNDUS IMAGE REGISTRATION. 2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), v. N/A, p. 5-pg., 2022-01-01. (13/07375-0, 19/26288-7, 21/03328-3)

PAULA, MATHEUS; CASACA, WALLACE; COLNAGO, MARILAINE; DA SILVA, JOSE R.; OLIVEIRA, KLEBER; DIAS, MAURICIO A.; NEGRI, ROGERIO. Predicting Energy Generation in Large Wind Farms: A Data-Driven Study with Open Data and Machine Learning. INVENTIONS, v. 8, n. 5, p. 20-pg., 2023-10-01. (21/01305-6, 21/03328-3, 16/24185-8, 13/07375-0)

MARINHO, GIOVANNA CARREIRA; MARCILIO, WILSON ESTECIO; DIAS, MAURICIO ARAUJO; ELER, DANILO MEDEIROS; ARTERO, ALMIR OLIVETTE; CASACA, WALLACE; NEGRI, ROGERIO GALANTE. Associating Anomaly Detection Strategy Based on Kittler's Taxonomy with Image Editing to Extend the Mapping of Polluted Water Bodies. REMOTE SENSING, v. 15, n. 24, p. 24-pg., 2023-12-01. (21/01305-6, 21/03328-3, 20/06477-7, 16/24185-8)

NEGRI, ROGERIO G.; LUZ, ANDREA E. O.; FRERY, ALEJANDRO C.; CASACA, WALLACE; IEEE. Fire Detection with Multitemporal Multispectral Data and a Probabilistic Unsupervised Technique. 2023 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE FOR GEOANALYTICS AND REMOTE SENSING, MIGARS, v. N/A, p. 4-pg., 2023-01-01. (21/03328-3, 21/01305-6)