2026

  1. Predicting post‑treatment stroke infarcts using pretreatment 4D computed tomography perfusion
    Jacob Idoko, Salome Lou Bosshart, Alexander Stebner, and 4 more authors
    2026
  2. How Fair is Software Fairness Testing?
    Ann Barcomb, Mariana Bento, Giuseppe Destefanis, and 4 more authors
    2026
  3. Three-Dimensional Deep Learning with Routine Brain Magnetic Resonance Imaging and Clinical Data for Identification of Secondary Progressive Multiple Sclerosis
    Mahshid Soleymani, Olayinka Oladosu, Saahim Salman, and 3 more authors
    Brain Sciences, 2026
  4. Algorithmic Discrimination in Healthcare: A Scoping Study
    Iqra Jawaid, Lucas Valença, Ayah Metwali, and 5 more authors
    2026
  5. How Fair is Software Fairness Testing?
    Ann Barcomb, Mariana Bento, Giuseppe Destefanis, and 4 more authors
    2026
  6. Radar-Based Classification of Sit-to-Stand Transition Patterns in Neurological Impairment
    Mehri Ziaee Bideskan, Mariana Bento, and Zahra Abbasi
    IEEE Sensors Letters, 2026
  7. A Systematic Review of Bias Detection and Dataset Improvement Methods for Fair AI Systems
    Matheus Morais Leça, Mariana Bento, and Ronnie Souza Santos
    2026
  8. LLM Use, Cheating, and Academic Integrity in Software Engineering Education
    Ronnie Souza Santos, Ítalo Santos, Mariana Bento, and 3 more authors
    2026
  9. Geographic and demographic gaps in publicly available Alzheimer’s disease datasets: A large language model-based discovery and analysis
    Mansi Singhal, Joanna Lin, Megan Delehanty, and 3 more authors
    Digital Health, 2026
  10. Calgary-Campinas 2.0 - Single-centre raw MRI dataset
    Roberto Souza, Richard Frayne, and Mariana Bento
    2026
  11. Responsible AI for Acute Stroke Management
    Joanna Lin, Mumu Aktar, Hakim Baazaoui, and 5 more authors
    2026
  12. Fourier Neural Operator with Physics-Informed Regularizer for Rapid, Multi-Frequency Transcranial Focused Ultrasound Prediction
    Tayeb Pourebrahim, Samuel Pichardo, Mariana Bento, and 1 more author
    2026
  13. A Parsimonious Machine Learning Model for Predicting Invasive Coronary Angiography Referral After Coronary Computed Tomography Angiography: Development and Multicentre External Validation
    Alec Chunta, Caitlyn Gilbert, Dina Labib, and 10 more authors
    Journal of Clinical Medicine, 2026
  14. GABA +‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework
    Hanna Bugler, Roberto Medeiros Souza, and Ashley D. Harris
    Magnetic Resonance in Medicine, 2026
  15. Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery
    Raphael Fernandes Casseb, Brunno Machado Campos, Wallace Souza Loos, and 10 more authors
    Epilepsia, 2026
  16. Classifying Breast Composition by Applying Deep Learning to Microwave Images: A Feasibility Study
    Anhela Francees, Peter Shmerko, Pedram Mojabi, and 3 more authors
    2026

2025

  1. Accuracy-fairness trade-off in ML for healthcare: A quantitative evaluation of bias mitigation strategies
    Farzaneh Dehghani, Pedro Victor Vieira Paiva, Nikita Malik, and 3 more authors
    Information and Software Technology, 2025
  2. The Role of Artificial Intelligence in Acute Stroke Imaging: Current Status and Future Directions
    Brooke Kindleman, Zeyad Abouyoussef, Anik Das, and 4 more authors
    2025
  3. Longitudinal White Matter Hyperintensity Segmentation with LSTM-Enhanced U-Net
    Kauê Tartarotti Nepomuceno Duarte, Murilo Costa Barros, Abhijot Singh Sidhu, and 6 more authors
    2025
  4. Structured Artificial Neural Networks for Chronological Brain Age Prediction using Functional Connectivity Matrices
    Kauê Tartarotti Nepomuceno Duarte, Abhijot Singh Sidhu, Murilo Costa Barros, and 4 more authors
    2025
  5. A visual journey through medium vessel occlusion strokes: From diagnosis to treatment
    Alexander Stebner, Salome Lou Bosshart, Satoru Fujiwara, and 3 more authors
    2025
  6. A comprehensive processing framework crafted for pediatric brain MRI
    Anik Das, Kauê Tartarotti Nepomuceno Duarte, Catherine A. Lebel, and 2 more authors
    2025
  7. Robustness Evaluation of Multi-visit Magnetic Resonance Image Reconstruction
    Youssef Beauferris, Abbas Omidi, Amirmohammad Shamaei, and 4 more authors
    2025
  8. Evaluating Deep Learning Based Domain Generalization for Motion Mitigation in Multi-center Brain MRI
    Saad Ashraf, Md Afif Al Mamun, Mumu Aktar, and 2 more authors
    2025
  9. SCOPE: Label Extraction of Stroke Diagnosis from Unstructured Medical Reports Using Retrieval-Augmented Generation
    Mumu Aktar, Gunjan Jindal, Salome Lou Bosshart, and 5 more authors
    2025
  10. Enhancing and accelerating brain MRI through deep learning reconstruction using prior subject-specific imaging
    Amirmohammad Shamaei, Alexander Stebner, Salome Lou Bosshart, and 4 more authors
    Magnetic Resonance Imaging, 2025
  11. Unsupervised Clustering of Depression Profiles in University Students Using Behavioral and Sociodemographic Features
    Arshin Soltan Bayazidi, Natalia Romero, Evandro Yudi Alves Ribeiro, and 6 more authors
    2025
  12. LungXplain: Chunk - Level Modeling for Precise Detection and Localization of Respiratory Events
    Tayeb Pourebrahim, Sayeh Bayat, Mariana Bento, and 1 more author
    2025
  13. Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images
    Nathan J. Neeteson, Sasha M. Hasick, Roberto Medeiros Souza, and 1 more author
    Computer Methods and Programs in Biomedicine, 2025
  14. SMART MRS : A Simulated MEGA ‐ PRESS ARTifacts toolbox for GABA ‐edited MRS
    Hanna Bugler, Amirmohammad Shamaei, Roberto Medeiros Souza, and 1 more author
    Magnetic Resonance in Medicine, 2025
  15. Investigating Voxel-Level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation
    Tasneem Nasser, Roberto Medeiros Souza, and Naser El‐Sheimy
    2025
  16. Quantifying White Matter Hyperintensities: Predicting Periventricular Fazekas Scores with Uncertainty Estimation
    Susanne Schmid, Amirmohammad Shamaei, Roberto Medeiros Souza, and 1 more author
    2025
  17. Improving skull-stripping for infant MRI via weakly supervised domain adaptation using adversarial learning
    Abbas Omidi, Amirmohammad Shamaei, Mumu Aktar, and 3 more authors
    Computers in Biology and Medicine, 2025
  18. CCNeXt: An effective self-supervised stereo depth estimation approach
    Alexandre Lopes, Roberto Medeiros Souza, and Hélio Pedrini
    Computer Vision and Image Understanding, 2025

2024

  1. Sex differences in brain MRI using deep learning toward fairer healthcare outcomes
    Mahsa Dibaji, Johanna Maria Ospel, Roberto Medeiros Souza, and 1 more author
    Frontiers in Computational Neuroscience, 2024
  2. A voxel-level approach to brain age prediction: A method to assess regional brain aging
    Neha Gianchandani, Mahsa Dibaji, Johanna Maria Ospel, and 4 more authors
    The Journal of Machine Learning for Biomedical Imaging, 2024
  3. Alzheimer Disease Detection Studies: Perspective on Multi-Modal Data
    Farzaneh Dehghani, Reihaneh Derafshi, Joanna Lin, and 2 more authors
    2024
  4. Fairness in Healthcare: Assessing Data Bias and Algorithmic Fairness
    Farzaneh Dehghani, Nikita Malik, Joanna Lin, and 2 more authors
    2024
  5. Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights
    Anik Das, Kauê Tartarotti Nepomuceno Duarte, Catherine A. Lebel, and 1 more author
    Frontiers in Computational Neuroscience, 2024
  6. Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation
    Kauê Tartarotti Nepomuceno Duarte, Abhijot Singh Sidhu, Murilo Costa Barros, and 7 more authors
    Frontiers in Computational Neuroscience, 2024
  7. The impact of data normalization and plane view in deep learning for classifying multiple sclerosis subtypes using MRI scans.
    Mahshid Soleymani, Yunyan Zhang, and Mariana Bento
    2024
  8. Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems
    Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, and 23 more authors
    2024
  9. Improving Prenatal Alcohol Exposure classification using Data Augmentation in 3D Convolutional Neural Networks
    Kauê Tartarotti Nepomuceno Duarte, Anik Das, Catherine A. Lebel, and 1 more author
    2024
  10. Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage
    Reza Kakavand, Mehrdad Palizi, Peyman Tahghighi, and 6 more authors
    Scientific Reports, 2024
  11. Unsupervised Domain Adaptation of MRI Skull-stripping Trained on Adult Data to Newborns
    Abbas Omidi, Aida Mohammadshahi, Neha Gianchandani, and 3 more authors
    2024
  12. Frequency and phase correction of GABA-edited magnetic resonance spectroscopy using complex-valued convolutional neural networks
    Hanna Bugler, Rodrigo Berto, Roberto Medeiros Souza, and 1 more author
    Magnetic Resonance Imaging, 2024
  13. Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration
    Peyman Tahghighi, Yunyan Zhang, Roberto Medeiros Souza, and 1 more author
    2024
  14. Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time
    R. Berto, Hanna Bugler, Gabriel Dias, and 18 more authors
    Magnetic Resonance Materials in Physics Biology and Medicine, 2024
  15. Spectro-ViT: A vision transformer model for GABA-edited MEGA-PRESS reconstruction using spectrograms
    Gabriel Dias, Rodrigo Pommot Berto, Mateus Cardoso Oliveira, and 8 more authors
    Magnetic Resonance Imaging, 2024
  16. Effect of MR head coil geometry on deep‐learning‐based MR image reconstruction
    Natalia Dubljevic, Stephen Moore, Michel Louis Lauzon, and 2 more authors
    Magnetic Resonance in Medicine, 2024
  17. Development of a machine learning tool to predict deep inspiration breath hold requirement for locoregional right-sided breast radiation therapy patients
    Fletcher Barrett, Sarah Quirk, Kailyn Stenhouse, and 5 more authors
    Biomedical Physics & Engineering Express, 2024
  18. Brain connectomes in youth at risk for serious mental illness: a longitudinal perspective
    Mohammed Kalathil Shakeel, Paul D. Metzak, Mike Lasby, and 9 more authors
    Brain Imaging and Behavior, 2024
  19. Enhancing Choroidal Nevi Segmentation in Fundus Images Using YOLO
    Mehregan Biglarbeiki, Roberto Medeiros Souza, Emad Ahmed Mohammed, and 5 more authors
    2024
  20. UNET and UNETR Based Frameworks for Predicting the Short-Term Spatiotemporal Demand of E-Scooter Sharing Services
    Mohammad Sahnoon, Aaron Manuel, Merkebe Getachew Demissie, and 1 more author
    2024
  21. Frequency and Phase Correction of GABA-edited MR Spectroscopy using Complex-valued Convolutional Neural Network
    Hanna Bugler, Rodrigo Berto, Roberto Medeiros Souza, and 1 more author
    2024
  22. Performance Metric for Assessment of Reconstructed Magnetic Resonance Image Phase
    Natalia Dubljevic, Stephen Moore, Michel Louis Lauzon, and 2 more authors
    2024
  23. Artifact Simulation Toolbox for GABA-Edited Magnetic Resonance Spectroscopy
    Hanna Bugler, Rodrigo Berto, Roberto Medeiros Souza, and 1 more author
    2024
  24. Quality Assessment Tool using Deep Learning for GABA-Edited MRS data
    Hanna Bugler, Roberto Medeiros Souza, and Ashley D. Harris
    2024
  25. Coil Geometry Effects on Deep-learning-based MR Image Reconstruction
    Natalia Dubljevic, Stephen Moore, Michel Louis Lauzon, and 2 more authors
    2024
  26. Enhancing postoperative epilepsy assessment with Resectvol DL: a novel deep learning tool for brain lacuna segmentation
    Raphael Fernandes Casseb, Brunno Machado Campos, Wallace Souza Loos, and 7 more authors
    2024

2023

  1. Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations
    Ashley D. Harris, Houshang Amiri, Mariana Bento, and 19 more authors
    2023
  2. Comparative Skull Stripping Techniques on Pediatric Magnetic Resonance Imaging
    Anik Das, Kauê Tartarotti Nepomuceno Duarte, Shannon Wong, and 2 more authors
    2023
  3. The transfer learning gap: quantifying transfer learning in a medical image case
    Javier Guerra Librero Camacho, Mariana Bento, and Richard Frayne
    2023
  4. Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR Imaging
    Mahsa Dibaji, Neha Gianchandani, Akhil Nair, and 3 more authors
    2023
  5. Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach
    Neha Gianchandani, Mahsa Dibaji, Mariana Bento, and 2 more authors
    2023
  6. Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus
    Esmaeil Shakeri, Trafford Crump, Ezekiel Weis, and 3 more authors
    SN Computer Science, 2023
  7. Towards understanding quality challenges of the federated learning for neural networks: a first look from the lens of robustness
    Amin Eslami Abyane, Derui Zhu, Roberto Medeiros Souza, and 2 more authors
    Empirical Software Engineering, 2023
  8. Choroidal Nevi Classification in Fundus Images Using a Patch-Based Deep Learning Approach
    Mehregan Biglarbeiki, Emad Ahmed Mohammed, Roberto Medeiros Souza, and 3 more authors
    2023
  9. A Multitask Deep Learning Model for Voxel-Level Brain Age Estimation
    Neha Gianchandani, Johanna Maria Ospel, Matthew Ethan MacDonald, and 1 more author
    2023
  10. An Investigation of Different Deep Learning Pipelines for GABA-Edited MRS Reconstruction
    Rodrigo Berto, Hanna Bugler, Roberto Medeiros Souza, and 1 more author
    2023
  11. Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage
    Reza Kakavand, Mehrdad Palizi, Peyman Tahghighi, and 6 more authors
    2023
  12. Fully automatic segmentation of brain lacunas resulting from resective surgery using a 3D deep learning model
    Raphael Fernandes Casseb, Brunno Machado Campos, Wallace Souza Loos, and 8 more authors
    2023
  13. Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms
    Gabriel Dias, Rodrigo Pommot Berto, Mateus Cardoso Oliveira, and 7 more authors
    2023

2022

  1. Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets
    Mariana Bento, Irene Fantini, Justin Park, and 2 more authors
    2022
  2. Automated quality check of corpus callosum segmentation using deep learning
    William Javier Herrera, Simone Appenzeller, Fabiano Reis, and 3 more authors
    2022
  3. A survey on RGB-D datasets
    Alexandre Lopes, Roberto Medeiros Souza, and Hélio Pedrini
    Computer Vision and Image Understanding, 2022
  4. Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations
    Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, and 20 more authors
    Frontiers in Neuroscience, 2022
  5. A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation
    Parisa Saat, Nikita Nogovitsyn, Muhammad Yusuf Hassan, and 3 more authors
    Frontiers in Neuroinformatics, 2022
  6. Using SHAP Analysis to Detect Areas Contributing to Diabetic Retinopathy Detection
    Esmaeil Shakeri, Trafford Crump, Ezekiel Weis, and 2 more authors
    2022
  7. Brain connectomes in youth at risk for serious mental illness: an exploratory analysis
    Paul D. Metzak, Mohammed Kalathil Shakeel, Xiangyu Long, and 9 more authors
    BMC Psychiatry, 2022
  8. Cerebello-limbic functional connectivity patterns in youth at clinical high risk for psychosis
    Nikita Nogovitsyn, Paul D. Metzak, Raphael Fernandes Casseb, and 13 more authors
    Schizophrenia Research, 2022
  9. COVID-19 Vaccine Infodemiology using Unsupervised Natural Language Processing
    Esmaeil Shakeri, Anja Slama, Roberto Medeiros Souza, and 1 more author
    2022
  10. An Empirical Analysis of Structural Neuroimaging Profiles in a Staging Model of Depression
    Nikita Nogovitsyn, Pedro L. Ballester, Mike Lasby, and 29 more authors
    Journal of Affective Disorders, 2022
  11. Improving Fast MRI Reconstructions with Pretext Learning in Low-Data Regime
    Amrit Kumar Jethi, Roberto Medeiros Souza, Keerthi Ram, and 1 more author
    2022

2021

  1. Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging
    Irene Fantini, Clarissa Lin Yasuda, Mariana Bento, and 3 more authors
    Computerized Medical Imaging and Graphics, 2021
  2. Supervised domain adaptation approach on heterogenous, multi-center MR imaging datasets
    Justin Park, Richard Frayne, and Mariana Bento
    2021
  3. Extraction of a vascular function for a fully automated dynamic contrast‐enhanced magnetic resonance brain image processing pipeline
    Wallace Souza Loos, Roberto Medeiros Souza, Linda B. Andersen, and 2 more authors
    Magnetic Resonance in Medicine, 2021
  4. Less is More: A Self-supervised Learning approach to Multi-channel MR Image Reconstruction
    Amrit Kumar Jethi, Roberto Medeiros Souza, Keerthi Ram, and 1 more author
    2021

2020

  1. Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction
    Roberto Medeiros Souza, Mariana Bento, Nikita Nogovitsyn, and 4 more authors
    Magnetic Resonance Imaging, 2020
  2. A framework for quality control of corpus callosum segmentation in large-scale studies
    William G. Herrera, Mariana Barbosa Pereira, Mariana Bento, and 3 more authors
    Journal of Neuroscience Methods, 2020
  3. Deep learning for diagnosis and classification of faults in industrial rotating machinery
    Roberto Medeiros Souza, Erick Giovani Sperandio Nascimento, Ubatan Almeida Miranda, and 2 more authors
    Computers & Industrial Engineering, 2020
  4. Childhood trauma and amygdala nuclei volumes in youth at risk for mental illness
    Nikita Nogovitsyn, Jean Addington, Roberto Medeiros Souza, and 9 more authors
    Psychological Medicine, 2020
  5. 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
    Roberto Medeiros Souza, Youssef Beauferris, Wallace Souza Loos, and 2 more authors
    IEEE Journal of Selected Topics in Signal Processing, 2020
  6. Aberrant limbic brain structures in young individuals at risk for mental illness
    Nikita Nogovitsyn, Roberto Medeiros Souza, Meghan Muller, and 13 more authors
    Psychiatry and Clinical Neurosciences, 2020
  7. OASI: A Brazilian Observatory Dedicated to the Study of Small Solar System Bodies—Some Results on NEO’s Physical Properties
    Eduardo Rondón, D. Lazzaro, Teresinha Rodrigues, and 12 more authors
    Publications of the Astronomical Society of the Pacific, 2020
  8. Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.
    Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, and 17 more authors
    2020
  9. Low-dose CT Enhancement Network with a Perceptual Loss Function in the Spatial Frequency and Image Domains
    Kevin J. Chung, Roberto Medeiros Souza, Richard Frayne, and 1 more author
    2020

2019

  1. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
    Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, and 41 more authors
    IEEE Transactions on Medical Imaging, 2019
  2. V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data
    Gustavo Retuci Pinheiro, Raphael Voltoline, Mariana Bento, and 1 more author
    2019
  3. Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set
    Mariana Bento, Roberto Medeiros Souza, Marina Salluzzi, and 3 more authors
    Magnetic Resonance Imaging, 2019
  4. Corpus Callosum Shape Signature for Segmentation Evaluation
    William G. Herrera, Mariana Bento, and Letícia Rittner
    2019
  5. Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation
    Roberto Medeiros Souza, Oeslle Lucena, Mariana Bento, and 5 more authors
    2019
  6. Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol
    Mariana Bento, Roberto Medeiros Souza, Richard Frayne, and 1 more author
    2019
  7. Quality Control Framework for Large MR Datasets: Automated Approaches to Outlier Detection
    Mariana Bento, Roberto Medeiros Souza, Marina Salluzzi, and 1 more author
    2019
  8. Investigation of Fully Connected Neural Networks for Reconstruction of MR Images
    Roberto Medeiros Souza, Mariana Bento, and Richard Frayne
    2019
  9. Hippocampal tail volume as a predictive biomarker of antidepressant treatment outcomes in patients with major depressive disorder: a CAN-BIND report
    Nikita Nogovitsyn, Meghan Muller, Roberto Medeiros Souza, and 20 more authors
    Neuropsychopharmacology, 2019
  10. A Hybrid Frequency-Domain/Image-Domain Deep Network for Magnetic Resonance Image Reconstruction
    Roberto Medeiros Souza and Richard Frayne
    2019
  11. Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks
    Oeslle Lucena, Roberto Medeiros Souza, Letícia Rittner, and 2 more authors
    Artificial Intelligence in Medicine, 2019
  12. Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants
    Nikita Nogovitsyn, Roberto Medeiros Souza, Meghan Muller, and 21 more authors
    NeuroImage, 2019
  13. Restoration of Lossy JPEG-Compressed Brain MR Images Using Cross-Domain Neural Networks
    Kevin J. Chung, Roberto Medeiros Souza, and Richard Frayne
    IEEE Signal Processing Letters, 2019
  14. Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content
    Danilo Rodrigues Pereira, Juliana Fontolan, Roberto Medeiros Souza, and 2 more authors
    2019
  15. Lightcurve analysis for 25 candidates to near-Earth binary asteroids
    Filipe Victor Duarte Monteiro, Eduardo Rondón, Plícida Arcoverde, and 3 more authors
    EPSC-DPS Joint Meeting 2019, 2019
  16. Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging
    Lívia Rodrigues, Roberto Medeiros Souza, Letícia Rittner, and 2 more authors
    2019
  17. F113. Hippocampal Subfield-Specific Sex Differences in Patients With Major Depressive Disorder
    Christine Desjardins, Nikita Nogovitsyn, Roberto Medeiros Souza, and 20 more authors
    2019
  18. F130. Subfield-Specific Hippocampal Volumes in Youth at Risk for Mental Illness
    Nikita Nogovitsyn, Amelia Srajer, Meghan Muller, and 11 more authors
    2019

2018

  1. WMH Segmentation Challenge: A Texture-Based Classification Approach
    Mariana Bento, Roberto Souza, Roberto Lotufo, and 2 more authors
    2018
  2. Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique
    Mariana Bento, Roberto Medeiros Souza, Marina Salluzzi, and 1 more author
    2018
  3. Automatic callosal fiber convergence plane computation through DTI-based divergence map
    Giovana S. Cover, Mariana Bento, Letícia Rittner, and 1 more author
    2018
  4. Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study
    Roberto Medeiros Souza, Oeslle Lucena, Mariana Bento, and 5 more authors
    2018
  5. Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers
    Mariana Bento, Roberto Medeiros Souza, and Richard Frayne
    2018
  6. New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning
    Pedram Ghamisi, Emmanuel Maggiori, Shutao Li A, and 9 more authors
    IEEE Geoscience and Remote Sensing Magazine, 2018
  7. A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction
    Roberto Medeiros Souza, Robert Marc Lebel, and Richard Frayne
    2018
  8. Silver standard masks for data augmentation applied to deep-learning-based skull-stripping
    Oeslle Lucena, Roberto Medeiros Souza, Letícia Rittner, and 2 more authors
    2018
  9. Rotational properties of near-earth objects obtained by the IMPACTON project
    Filipe Victor Duarte Monteiro, José Silva, D. Lazzaro, and 4 more authors
    Planetary and Space Science, 2018
  10. Rotational Period Determination for 12 Near-Earth Asteroids
    Filipe Victor Duarte Monteiro, Plícida Arcoverde, Hissa Medeiros, and 4 more authors
    MPBu, 2018
  11. Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks
    Oeslle Lucena, Roberto Medeiros Souza, Letícia Rittner, and 2 more authors
    2018
  12. Comet P/2010 a1 = 2018 P1 (Hill)
    E. Schwab, B. G. Marsden, Paulo Roberto Silva Ruiz, and 11 more authors
    Minor Planet Electronic Circulars, 2018
  13. Comet P/2001 t3 = 2018 P2 (neat)
    E. Schwab, Paulo Roberto Silva Ruiz, M. Micheli, and 10 more authors
    Minor Planet Electronic Circulars, 2018

2017

  1. Computational methods for corpus callosum segmentation on MRI: A systematic literature review
    Giovana S. Cover, William G. Herrera, Mariana Bento, and 2 more authors
    2017
  2. Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging
    Giovana S. Cover, Mariana Barbosa Pereira, Mariana Bento, and 2 more authors
    IEEE Access, 2017
  3. Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification
    Mariana Bento, Yan Sym, Richard Frayne, and 2 more authors
    2017
  4. Corpus Callosum 2D Segmentation on Diffusion Tensor Imaging Using Growing Neural Gas Network
    Giovana S. Cover, William G. Herrera, Mariana Bento, and 1 more author
    2017
  5. Análise de textura das Lesões de Substância Branca comparando pacientes com Lúpus Eritematoso Sistêmico juvenil e adulto
    Angela Cristina Gomes, Simone Appenzeller, Aline Tamires Lapa, and 1 more author
    2017
  6. An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement
    Roberto Medeiros Souza, Oeslle Lucena, Julia Lopes Garrafa, and 6 more authors
    2017
  7. Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing
    Oeslle Lucena, Amadeu Junior, Vitor Hugo Galhardo Moia, and 3 more authors
    2017
  8. Lightcurve Analysis for Ten Near-Earth Asteroids
    Filipe Victor Duarte Monteiro, José Silva, D. Lazzaro, and 4 more authors
    MPBu, 2017
  9. iamxt: Max-tree toolbox for image processing and analysis
    Roberto Medeiros Souza, Letícia Rittner, Rubens Campos Machado, and 1 more author
    2017
  10. Max-tree = theory, algorithms and applications = Árvore máxima: teoria, algoritmos e aplicações
    Roberto Medeiros Souza
    2017
  11. Common Carotid Artery Lumen Segmentation from Cardiac Cycle-Resolved Cine Fast Spin Echo Magnetic Resonance Imaging
    Livia Maria De Aguiar Rodrigues, Roberto Medeiros Souza, Letícia Rittner, and 2 more authors
    2017
  12. Max-tree
    Roberto Medeiros Souza
    2017

2016

  1. Automatic identification and characterization of white matter lesions in the brain using volumetric magnetic resonance images = Identificação automática e caracterização de lesões em substância branca no cérebro em imagens volumétricas de ressonância magnética
    Mariana Bento
    2016
  2. Automatic identification and characterization of white matter lesions in the brain using volumetric magnetic resonance images
    Mariana Bento
    2016
  3. Nearest neighbors distance ratio open-set classifier
    Pedro Ribeiro Mendes Júnior, Roberto Medeiros Souza, Rafael Oliveira Werneck, and 6 more authors
    Machine Learning, 2016
  4. Extinction Profiles for the Classification of Remote Sensing Data
    Pedram Ghamisi, Roberto Medeiros Souza, Jón Atli Benediktsson, and 3 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 2016
  5. Hyperspectral Data Classification Using Extended Extinction Profiles
    Pedram Ghamisi, Roberto Medeiros Souza, Jón Atli Benediktsson, and 3 more authors
    IEEE Geoscience and Remote Sensing Letters, 2016
  6. An Overview of Max-Tree Principles, Algorithms and Applications
    Roberto Medeiros Souza, Luís Antônio Tavares, Letícia Rittner, and 1 more author
    2016
  7. Extinction profiles: A novel approach for the analysis of remote sensing data
    Pedram Ghamisi, Roberto Medeiros Souza, Letícia Rittner, and 3 more authors
    2016
  8. A Max-Tree Simplification Proposal and Applications for the Interactive Max-Tree Visualization Tool
    Luís Antônio Tavares, Roberto Medeiros Souza, Letícia Rittner, and 2 more authors
    2016
  9. Extended extinction profile for the classification of hyperspectral images
    Pedram Ghamisi, Roberto Medeiros Souza, Jón Atli Benediktsson, and 3 more authors
    2016
  10. Comet C/2015 WZ (panstarrs)
    R. A. Mastaler, M. T. Read, A. F. Tubbiolo, and 49 more authors
    MPEC, 2016
  11. Comet C/2014 HU195
    Y. Ramanjooloo, David J. Tholen, J. F. Soulier, and 50 more authors
    Minor Planet Electronic Circulars, 2016

2015

  1. Web-based platform for collaborative medical imaging research
    Letícia Rittner, Mariana Bento, André Luís Costa, and 3 more authors
    2015
  2. A Comparison Between Extinction Filters and Attribute Filters
    Roberto Medeiros Souza, Letícia Rittner, Rubens Campos Machado, and 1 more author
    2015
  3. Interactive max-tree visualization tool for image processing and analysis
    Luís Antônio Tavares, Roberto Medeiros Souza, Letícia Rittner, and 2 more authors
    2015
  4. An array-based node-oriented max-tree representation
    Roberto Medeiros Souza, Letícia Rittner, Roberto Lotufo, and 1 more author
    2015
  5. The IMPACTON Project: Pole and Shape of Eight Near-Earth Asteroids
    Proceedings of the International Astronomical Union, 2015

2014

  1. Maximal Max-Tree Simplification
    Roberto Medeiros Souza, Letícia Rittner, Rubens Campos Machado, and 1 more author
    2014
  2. Maximal max-tree simplification = Simplificação maximal da árvore máxima
    Roberto Medeiros Souza
    2014
  3. Comet C/2011 J2 (LINEAR)
    G. Tancredi, D. Lazzaro, Thaíse S. Rodrigues, and 1 more author
    Central Bureau Electronic Telegrams, 2014
  4. Nearest Neighbors Distance Ratio Open-Set Classifier
    Pedro Ribeiro Mendes Júnior, Roberto Medeiros Souza, Rafael Oliveira Werneck, and 6 more authors
    2014

2013

  1. Analysis of brain white matter hyperintensities using pattern recognition techniques
    Mariana Bento, Letícia Rittner, Simone Appenzeller, and 2 more authors
    2013
  2. Análise de lesões na substância branca do cérebro a partir de imagens de ressonância magnética
    Mariana Bento
    2013
  3. Analysis of white matter lesions using magnetic resonance images
    Mariana Bento
    2013
  4. A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers
    Roberto Medeiros Souza, Letícia Rittner, and Roberto Lotufo
    Pattern Recognition Letters, 2013

2012

  1. THU0335 Support vector machines classification of texture parameters of white matter lesions in childhood-onset systemic lupus erythematosus. Possible mechanism to distinguish between demyelination and ischemia
    A.T. Lapa, Mariana Bento, Letícia Rittner, and 7 more authors
    2012
  2. THU0160 White matter lesions are predominantly demyelinating in systemic lupus erythematosus. An support vector machines classification of texture parameters
    A.T. Lapa, Mariana Bento, Letícia Rittner, and 7 more authors
    2012
  3. A Comparison between Optimum-Path Forest and k-Nearest Neighbors Classifiers
    Roberto Medeiros Souza, Roberto Lotufo, and Letícia Rittner
    2012

2011

  1. Adessowiki: Collaborative Scientific Programming Environment
    Letícia Rittner, André Vital Saúde, Alexandre Gonçalves Silva, and 3 more authors
    2011

2010

  1. On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection
    Fátima N. S. Medeiros, Geraldo L. B. Ramalho, Mariana Bento, and 1 more author
    EURASIP Journal on Advances in Signal Processing, 2010