Roberto Souza

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 30

Top Topics

Convolutional Neural Networks

Magnetic Resonance

Top Venues

Publications

Gabriel Dias, Rodrigo Pommot Berto, Mateus Oliveira, Lucas H. Ueda, Sergio Dertkigil, Paula D. P. Costa, Amirmohammad Shamaei, Roberto Souza, Ashley Harris, Letícia Rittner
Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms. CoRR (2023)
Alexandre Lopes, Roberto Souza, Hélio Pedrini
A Survey on RGB-D Datasets. CoRR (2022)
Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, Nikita Moriakov, Matthan W. A. Caan, Lívia Rodrigues, Alexandre Lopes, Hélio Pedrini, Letícia Rittner, Maik Dannecker, Viktor Studenyak, Fabian Gröger, Devendra Vyas, Shahrooz Faghih-Roohi, Amrit Kumar Jethi, JayaChandra Raju, Mohanasankar Sivaprakasam, Wallace Loos, Richard Frayne, Roberto Souza
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils. CoRR (2020)
Roberto Souza, Youssef Beauferris, Wallace Loos, Robert Marc Lebel, Richard Frayne
Enhanced Deep-Learning-Based Magnetic Resonance Image Reconstruction by Leveraging Prior Subject-Specific Brain Imaging: Proof-of-Concept Using a Cohort of Presumed Normal Subjects. IEEE J. Sel. Top. Signal Process. 14 (6) (2020)
Kevin J. Chung, Roberto Souza, Richard Frayne
Restoration of Lossy JPEG-Compressed Brain MR Images Using Cross-Domain Neural Networks. IEEE Signal Process. Lett. 27 (2020)
Juliana Fontolan, Danilo Pereira, Roberto Souza, Simone Appenzeller, Letícia Rittner
Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Roberto Souza, Mariana P. Bento, Nikita Nogovitsyn, Kevin J. Chung, R. Marc Lebel, Richard Frayne
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction. CoRR (2019)
Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo, Richard Frayne
Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. SIBGRAPI (2019)
Roberto Souza, Richard Frayne
A Hybrid Frequency-Domain/Image-Domain Deep Network for Magnetic Resonance Image Reconstruction. SIBGRAPI (2019)
Roberto Souza, R. Marc Lebel, Richard Frayne
A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction. MIDL (2019)
Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne
Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol. Medical Imaging: Computer-Aided Diagnosis (2019)
Nikita Nogovitsyn, Roberto Souza, Meghan Muller, Amelia Srajer, Stefanie Hassel, Stephen R. Arnott, Andrew D. Davis, Geoffrey B. C. Hall, Jacqueline K. Harris, Mojdeh Zamyadi, Paul D. Metzak, Zahinoor Ismail, Signe L. Bray, Catherine Lebel, Jean M. Addington, Roumen Milev, Kate L. Harkness, Benicio N. Frey, Glenda M. MacQueen
Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants. NeuroImage 197 (2019)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artif. Intell. Medicine 98 (2019)
Mariana P. Bento, Roberto Souza, Richard Frayne
Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers. SIBGRAPI (2018)
Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto de Alencar Lotufo, Richard Frayne
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. ISBI (2018)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. ISBI (2018)
Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. NeuroImage 170 (2018)
Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne
Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique. ICIAR (2018)
Roberto Souza
Detecting Spatial Clusters of Infection Risk with Geo-Located Social Media Data. PhD@VLDB (2018)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks. CoRR (2018)
Roberto Souza, Richard Frayne
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction. CoRR (2018)
Roberto Souza, Saul C. Leite, Wagner Meira Jr., Eduardo R. Hruschka
Online Orthogonal Regression Based on a Regularized Squared Loss. ICMLA (2018)
Lívia Rodrigues, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging. SaMBa@MICCAI (2018)
Roberto Souza, Letícia Rittner, Rubens Machado, Roberto de Alencar Lotufo
iamxt: Max-tree toolbox for image processing and analysis. SoftwareX 6 (2017)
Oeslle Lucena, Amadeu Junior, Vitor Moia, Roberto Souza, Eduardo Valle, Roberto de Alencar Lotufo
Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing. ICIAR (2017)
Roberto Souza, Luis A. Tavares, Letícia Rittner, Roberto de Alencar Lotufo
An Overview of Max-Tree Principles, Algorithms and Applications. SIBGRAPI Tutorials (2016)
Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto de Alencar Lotufo
Extended extinction profile for the classification of hyperspectral images. WHISPERS (2016)
Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto de Alencar Lotufo
Extinction Profiles for the Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 54 (10) (2016)
Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Letícia Rittner, Roberto de Alencar Lotufo, Xiao Xiang Zhu
Hyperspectral Data Classification Using Extended Extinction Profiles. IEEE Geosci. Remote. Sens. Lett. 13 (11) (2016)
Pedram Ghamisi, Roberto Souza, Letícia Rittner, Jón Atli Benediktsson, Roberto de Alencar Lotufo, Xiao Xiang Zhu
Extinction profiles: A novel approach for the analysis of remote sensing data. IGARSS (2016)
Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo
A Comparison Between Extinction Filters and Attribute Filters. ISMM (2015)
Roberto Souza, Letícia Rittner, Roberto de Alencar Lotufo, Rubens Campos Machado
An array-based node-oriented max-tree representation. ICIP (2015)
Roberto Souza, Letícia Rittner, Roberto de Alencar Lotufo
A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers. Pattern Recognit. Lett. 39 (2014)
Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo
Maximal Max-Tree Simplification. ICPR (2014)
Roberto Souza, Roberto de Alencar Lotufo, Letícia Rittner
A Comparison between Optimum-Path Forest and k-Nearest Neighbors Classifiers. SIBGRAPI (2012)