Graph-Based Relational Data Visualization. - Daniel Mario de Lima; José Fernando Rodrigues Jr.; Agma Juci Machado Traina (IV, 2013)

TendeR-Sims - Similarity Retrieval System for Public Tenders. - Guilherme Q. Vasconcelos; Guilherme F. Zabot; Daniel Mario de Lima; José F. Rodrigues Jr.; Caetano Traina Jr.; Daniel S. Kaster; Robson L. F. Cordeiro (ICEIS (1), 2018)

Transforming Two Decades of ePR Data to OMOP CDM for Clinical Research. - Daniel Mario de Lima; José F. Rodrigues Jr.; Agma J. M. Traina; Fabio A. Pires; Marco A. Gutierrez 001 (MedInfo, 2019)

Bag-of-Attributes Representation: A Vector Space Model for Electronic Health Records Analysis in OMOP. - José Maria Clementino; Christian C. Bones; Bruno S. Faiçal; Oscar A. C. Linares; Daniel Mario de Lima; Marco A. Gutierrez 001; Caetano Traina; Agma J. M. Traina (CBMS, 2020)

Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural Networks. - Renato F. Pereira; Marina S. Rebelo; Ramon Alfredo Moreno; Anderson G. Marco; Daniel Mario de Lima; Marcelo A. F. Arruda; José Eduardo Krieger; Marco A. Gutierrez 001 (EMBC, 2020)

I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs. - Claudio D. G. Linhares; Daniel Mario de Lima; Christian C. Bones; Marina F. S. de Sá Rebelo; Marco A. Gutierrez 001; Caetano Traina; Agma J. M. Traina (CBMS, 2021)

Uma proposta de data lake para pesquisa em saúde a partir de data pools multicêntricos interoperáveis. - Daniel Mario de Lima; Ramon Alfredo Moreno; Fabio A. Pires; Marco A. Gutierrez 001 (SBBD, 2021)

A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI. - Marcelo Toledo; Daniel Mario de Lima; José Eduardo Krieger; Marco A. Gutierrez 001 (CoRR, 2021)

Convolutional module for heart localization and segmentation in MRI. - Daniel Mario de Lima; Catharine V. Graves; Marco A. Gutierrez 001; Bruno Brandoli; José Fernando Rodrigues Jr. (CoRR, 2021)

DermaDL: Advanced Convolutional Neural Networks for Computer-Aided Skin-Lesion Classification. - Daniel Mario de Lima; José F. Rodrigues Jr.; Bruno Brandoli; Lorraine Goeuriot; Sihem Amer-Yahia (SN Comput. Sci., 2021)

Study of CNN Capacity Applied to Left Ventricle Segmentation in Cardiac MRI. - Marcelo Toledo; Daniel Mario de Lima; José Eduardo Krieger; Marco A. Gutierrez 001 (SN Comput. Sci., 2021)

Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI. - Daniel Mario de Lima; Catharine V. Graves; Marco A. Gutierrez 001; Bruno Brandoli; José F. Rodrigues Jr. (ICIAP (1), 2022)

Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment. - Thiago Bulhões da Silva Costa; Felipe Meneguitti Dias; Diego Armando Cardona Cárdenas; Marcelo Toledo; Daniel Mario de Lima; José Eduardo Krieger; Marco Antonio Gutierrez 001 (IEEE Access, 2023)

ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. - Claudio D. G. Linhares; Daniel Mario de Lima; Jean R. Ponciano; Mauro M. Olivatto; Marco A. Gutierrez 001; Jorge Poco; Caetano Traina; Agma J. M. Traina (IEEE Trans. Vis. Comput. Graph., 2023)