Roberto Souza
Orcid: 0000-0001-7824-5217Affiliations:
- University of Calgary, Department of Electrical and Software Engineering, Canada
- University of Campinas, Faculty of Electrical Engineering and Computing, Brazil
According to our database1,
Roberto Souza
authored at least 53 papers
between 2012 and 2024.
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Bibliography
2024
Unsupervised Domain Adaptation of MRI Skull-stripping Trained on Adult Data to Newborns.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus.
SN Comput. Sci., September, 2023
Towards understanding quality challenges of the federated learning for neural networks: a first look from the lens of robustness.
Empir. Softw. Eng., March, 2023
Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage.
CoRR, 2023
Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms.
CoRR, 2023
A voxel-level approach to brain age prediction: A method to assess regional brain aging.
CoRR, 2023
Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach.
CoRR, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR Imaging.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
2022
A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation.
Frontiers Neuroinformatics, 2022
Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness.
CoRR, 2022
Leveraging Multi-Visit Information for Magnetic Resonance Image Reconstruction: Pilot Study on a Cohort of Glioblastoma Subjects.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2020
Restoration of Lossy JPEG-Compressed Brain MR Images Using Cross-Domain Neural Networks.
IEEE Signal Process. Lett., 2020
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., 2020
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.
CoRR, 2020
2019
Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants.
NeuroImage, 2019
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction.
CoRR, 2019
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.
Artif. Intell. Medicine, 2019
Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019
A Hybrid Frequency-Domain/Image-Domain Deep Network for Magnetic Resonance Image Reconstruction.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019
A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
2018
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement.
NeuroImage, 2018
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks.
CoRR, 2018
Proceedings of the VLDB 2018 PhD Workshop co-located with the 44th International Conference on Very Large Databases (VLDB 2018), 2018
Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018
Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging.
Proceedings of the Processing and Analysis of Biomedical Information, 2018
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Silver standard masks for data augmentation applied to deep-learning-based skull-stripping.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
2017
Common Carotid Artery Lumen Segmentation from Cardiac Cycle-Resolved Cine Fast Spin Echo Magnetic Resonance Imaging.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
2016
IEEE Trans. Geosci. Remote. Sens., 2016
IEEE Geosci. Remote. Sens. Lett., 2016
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
A Max-Tree Simplification Proposal and Applications for the Interactive Max-Tree Visualization Tool.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015
Proceedings of the 2015 International Conference on Image Processing Theory, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers.
Pattern Recognit. Lett., 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2012
Proceedings of the 25th SIBGRAPI Conference on Graphics, Patterns and Images, 2012