publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Medshapenet–a large-scale dataset of 3d medical shapes for computer vision
    Jianning Li, Zongwei Zhou, Jiancheng Yang, and 8 more authors
    Biomedical Engineering/Biomedizinische Technik, 2025
  2. Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images
    Nathan J Neeteson, Sasha M Hasick, Roberto Souza, and 1 more author
    Computer Methods and Programs in Biomedicine, 2025
  3. SMART MRS: A Simulated MEGA-PRESS ARTifacts toolbox for GABA-edited MRS
    Hanna Bugler, Amirmohammad Shamaei, Roberto Souza, and 1 more author
    Magnetic Resonance in Medicine, 2025
  4. Brain connectomes in youth at risk for serious mental illness: a longitudinal perspective
    Mohammed K Shakeel, Paul D Metzak, Mike Lasby, and 8 more authors
    Brain Imaging and Behavior, 2025
  5. 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, 2025
  6. Cardiac Baroreflex Is Preserved After the Recovery From COVID-19 Men and Women
    Roberto Souza, Beatriz Divino, Helena NM Rocha, and 4 more authors
    The Journal of Clinical Hypertension, 2025
  7. A visual journey through medium vessel occlusion strokes: From diagnosis to treatment
    Alexander Stebner, Salome L Bosshart, Satoru Fujiwara, and 3 more authors
    Interventional Neuroradiology, 2025
  8. Generalize or Specialize? The Effect of Coil Combining in Deep Learning Based MR Image Reconstruction
    Natalia Dubljevic, Richard Frayne, and Roberto Souza
    In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025
  9. Accelerating Water Removal in MRSI Using Domain Knowledge-Based Deep Learning
    Amir Buchali, Roberto Souza, Stanislav Motyka, and 4 more authors
    In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025
  10. Quantifying White Matter Hyperintensities: Predicting Periventricular Fazekas Scores with Uncertainty Estimation
    Susanne Schmid, Amirmohammed Shamaei, Roberto Souza, and 1 more author
    In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025
  11. 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
  12. 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
  13. GABA-Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework
    Hanna Bugler, Roberto Souza, and Ashley D Harris
    bioRxiv, 2025
  14. Investigating Voxel-Level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation
    Tasneem Nasser, Roberto Souza, and Naser El-Sheimy
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025
  15. CCNeXt: An effective self-supervised stereo depth estimation approach
    Alexandre Lopes, Roberto Souza, and Helio Pedrini
    Computer Vision and Image Understanding, 2025
  16. Magnetic Resonance Image
    Jacob Idoko, Gouri Deshpande, Mariana Bento, and 1 more author
    In Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis: First International Workshop, RIME 2025, and 7th International Workshop, GRAIL 2025, Daejeon, South Korea, September 27, 2025, Proceedings, 2025
  17. Evaluating Deep Learning Based Domain Generalization for Motion Mitigation
    Saad Ashraf, Md Afif Al Mamun, Mumu Aktar, and 1 more author
    In Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis: First International Workshop, RIME 2025, and 7th International Workshop, GRAIL 2025, Daejeon, South Korea, September 27, 2025, Proceedings, 2025
  18. Robustness Evaluation of Multi-visit Magnetic Resonance Image Reconstruction
    Youssef Beauferris, Abbas Omidi, Amirmohammad Shamaei, and 4 more authors
    In International Workshop on Reconstruction and Imaging Motion Estimation, 2025
  19. 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
    In International Workshop on Reconstruction and Imaging Motion Estimation, 2025
  20. 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
    In International Workshop on Emerging LLM/LMM Applications in Medical Imaging, 2025
  21. The Role of Artificial Intelligence in Acute Stroke Imaging: Current Status and Future Directions
    Brooke Kindleman, Zeyad Aboyoussef, Anik Das, and 4 more authors
    In Seminars in Interventional Radiology, 2025

2024

  1. A voxel-level approach to brain age prediction: A method to assess regional brain aging
    Neha Gianchandani, Mahsa Dibaji, Johanna Ospel, and 5 more authors
    Machine Learning for Biomedical Imaging, 2024
  2. An empirical analysis of structural neuroimaging profiles in a staging model of depression
    Nikita Nogovitsyn, Pedro Ballester, Mike Lasby, and 8 more authors
    Journal of Affective Disorders, 2024
  3. Frequency and phase correction of GABA-edited magnetic resonance spectroscopy using complex-valued convolutional neural networks
    Hanna Bugler, Rodrigo Berto, Roberto Souza, and 1 more author
    Magnetic Resonance Imaging, 2024
  4. 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
  5. Unsupervised domain adaptation of MRI skull-stripping trained on adult data to newborns
    Abbas Omidi, Aida Mohammadshahi, Neha Gianchandani, and 3 more authors
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
  6. Unsupervised domain adaptation of brain MRI skull stripping trained on adult data to newborns: Combining synthetic data with domain invariant features
    Abbas Omidi, Amirmohammad Shamaei, Anouk Verschuu, and 3 more authors
    In Medical Imaging with Deep Learning, 2024
  7. Advancing Healthcare Fairness: Analysis of Sex Differences in the Brain using Deep Learning
    Mahsa Dibaji, Johanna Ospel, Roberto Souza, and 1 more author
    2024
  8. Hyperaemia during dynamic handgrip exercise is preserved in healthy young subjects after recovery from COVID-19
    Eliza Prodel, Roberto Souza, Beatriz Divino, and 3 more authors
    Experimental Physiology, 2024
  9. Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time
    Rodrigo Pommot Berto, Hanna Bugler, Gabriel Dias, and 8 more authors
    Magnetic Resonance Materials in Physics, Biology and Medicine, 2024
  10. 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
  11. Automated Classification of Choroidal Nevi using Data Augmentation and a Patch-Based Deep Learning Approach with Fundus Images
    Mehregan Biglarbeiki, Ezekiel Weis, Emad Mohammed, and 3 more authors
    Investigative Ophthalmology & Visual Science, 2024
  12. Reza Kakavand, Mehrdad Palizi 2, Peyman Tahghighi, Reza Ahmadi, Neha Gianchandani
    Samer Adeeb, Roberto Souza, W Brent Edwards, and 1 more author
    Scientific Reports, 2024
  13. Spectro-ViT: A vision transformer model for GABA-edited MEGA-PRESS reconstruction using spectrograms
    Gabriel Dias, Rodrigo Pommot Berto, Mateus Oliveira, and 8 more authors
    Magnetic Resonance Imaging, 2024
  14. Trustworthy and responsible ai for human-centric autonomous decision-making systems
    Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, and 8 more authors
    arXiv preprint arXiv:2408.15550, 2024
  15. Sex differences in brain MRI using deep learning toward fairer healthcare outcomes
    Mahsa Dibaji, Johanna Ospel, Roberto Souza, and 1 more author
    Frontiers in Computational Neuroscience, 2024
  16. Enhancing new multiple sclerosis lesion segmentation via self-supervised pre-training and synthetic lesion integration
    Peyman Tahghighi, Yunyan Zhang, Roberto Souza, and 1 more author
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
  17. Enhancing Choroidal Nevi Segmentation in Fundus Images Using YOLO
    Mehregan Biglarbeiki, Roberto Souza, Emad Mohammed, and 5 more authors
    In 2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI), 2024
  18. 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
    medRxiv, 2024
  19. High-Risk Clinical Target Volume Auto-Contouring on MRI for Cervical Cancer Brachytherapy Using 3D U-Net Transfer Learning
    Fletcher Barrett, Sarah Quirk, Roberto Souza, and 4 more authors
    In MEDICAL PHYSICS, 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
    In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 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 8 more authors
    Frontiers in Neurology, 2023
  2. 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 Souza, and 2 more authors
    Empirical Software Engineering, 2023
  3. Automated segmentation of knee MR images for biomechanical modeling of the knee joint
    Reza Kakavand, Mehrdad Palizi, Neha Gianchandani, and 4 more authors
    CMBES Proceedings, 2023
  4. 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
  5. Reframing the brain age prediction problem to a more interpretable and quantitative approach
    Neha Gianchandani, Mahsa Dibaji, Mariana Bento, and 2 more authors
    arXiv preprint arXiv:2308.12416, 2023
  6. Advancing GABA-edited MRS Research through a Reconstruction Challenge
    Rodrigo Pommot Berto, Hanna Bugler, Gabriel Dias, and 8 more authors
    bioRxiv, 2023
  7. 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
    In Workshop on Clinical Image-Based Procedures, 2023
  8. A multitask deep learning model for voxel-level brain age estimation
    Neha Gianchandani, Johanna Ospel, Ethan MacDonald, and 1 more author
    In International Workshop on Machine Learning in Medical Imaging, 2023
  9. An Investigation of Different Deep Learning Pipelines for GABA-Edited MRS Reconstruction
    Rodrigo Berto, Hanna Bugler, Roberto Souza, and 1 more author
    In International Workshop on Machine Learning in Medical Imaging, 2023
  10. Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms
    Gabriel Dias, Rodrigo Pommot Berto, Mateus Oliveira, and 7 more authors
    arXiv preprint arXiv:2311.15386, 2023
  11. Choroidal nevi classification in fundus images using a patch-based deep learning approach
    Mehregan Biglarbeiki, Emad Mohammed, Roberto Souza, and 3 more authors
    In 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, 2023

2022

  1. Childhood trauma and amygdala nuclei volumes in youth at risk for mental illness
    Nikita Nogovitsyn, Jean Addington, Roberto Souza, and 8 more authors
    Psychological Medicine, 2022
  2. Extraction of a vascular function for a fully automated dynamic contrast-enhanced magnetic resonance brain image processing pipeline
    Wallace S Loos, Roberto Souza, Linda B Andersen, and 2 more authors
    Magnetic Resonance in Medicine, 2022
  3. A survey on RGB-D datasets
    Alexandre Lopes, Roberto Souza, and Helio Pedrini
    Computer Vision and Image Understanding, 2022
  4. Cerebello-limbic functional connectivity patterns in youth at clinical high risk for psychosis
    Nikita Nogovitsyn, Paul D Metzak, Raphael F Casseb, and 8 more authors
    Schizophrenia Research, 2022
  5. Leveraging Multi-Visit Information for Magnetic Resonance Image Reconstruction: Pilot Study on a Cohort of Glioblastoma Subjects
    Youssef Beauferris, Mike Lasby, and Roberto Souza
    In 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022
  6. Multi-coil MRI reconstruction challenge—assessing brain MRI reconstruction models and their generalizability to varying coil configurations
    Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, and 8 more authors
    Frontiers in neuroscience, 2022
  7. 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
  8. Using shap analysis to detect areas contributing to diabetic retinopathy detection
    Esmaeil Shakeri, Trafford Crump, Ezekiel Weis, and 2 more authors
    In 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), 2022
  9. COVID-19 vaccine infodemiology using unsupervised natural language processing
    Esmaeil Shakeri, Anja Slama, Roberto Souza, and 1 more author
    In 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), 2022
  10. Improving fast MRI reconstructions with pretext learning in low-data regime
    Amrit Kumar Jethi, Roberto Souza, Keerthi Ram, and 1 more author
    In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
  11. Brain connectomes in youth at risk for serious mental illness: an exploratory analysis
    Paul D Metzak, Mohammed K Shakeel, Xiangyu Long, and 8 more authors
    BMC psychiatry, 2022
  12. 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 Souza, and 2 more authors
    arXiv e-prints, 2022
  13. Towards understanding quality challenges of the federated learning: A first look from the lens of robustness
    A Eslami Abyane, Derui Zhu, R Medeiros Souza, and 2 more authors
    arXiv preprint arXiv:2201.01409, 2022

2021

  1. Deep learning for diagnosis and classification of faults in industrial rotating machinery
    Roberto M Souza, Erick GS Nascimento, Ubatan A Miranda, and 2 more authors
    Computers & Industrial Engineering, 2021
  2. Less is More: A Self-supervised Learning approach to Multi-channel MR Image Reconstruction
    Amrit Kumar Jethi, Roberto Souza, Keerthi Ram, and 1 more author
    2021

2020

  1. 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 Souza, and 8 more authors
    Neuropsychopharmacology, 2020
  2. Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction
    Roberto Souza, Mariana Bento, Nikita Nogovitsyn, and 4 more authors
    Magnetic resonance imaging, 2020
  3. Aberrant limbic brain structures in young individuals at risk for mental illness
    Nikita Nogovitsyn, Roberto Souza, Meghan Muller, and 8 more authors
    Psychiatry and Clinical Neurosciences, 2020
  4. Low-dose ct enhancement network with a perceptual loss function in the spatial frequency and image domains
    Kevin J Chung, Roberto Souza, Richard Frayne, and 1 more author
    arXiv preprint arXiv:2005.11852, 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 Souza, Youssef Beauferris, Wallace Loos, and 2 more authors
    IEEE Journal of Selected Topics in Signal Processing, 2020
  6. BEST IN PHYSICS (IMAGING): Comparison of Loss Functions in Dual-Domain Convolutional Neural Networks for Low-Dose CT Enhancement
    KJ Chung, R Souza, R Frayne, and 1 more author
    In MEDICAL PHYSICS, 2020
  7. 統合失調症患者の血漿ドパミン代謝物レベルはミスマッチ陰性電位と相関する
    Nikita Nogovitsyn, Roberto Souza, Meghan Muller, and 8 more authors
    Psychiatry and Clinical Neurosciences, 2020

2019

  1. A hybrid, dual domain, cascade of convolutional neural networks for magnetic resonance image reconstruction
    Roberto Souza, R Marc Lebel, and Richard Frayne
    In International conference on medical imaging with deep learning, 2019
  2. Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol
    M Bento, Roberto Souza, Marina Salluzzi, and 1 more author
    In Medical Imaging 2019: Computer-Aided Diagnosis, 2019
  3. Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content
    Juliana Fontolan, Danilo Pereira Sr, Roberto Souza, and 2 more authors
    In Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019
  4. Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants
    Nikita Nogovitsyn, Roberto Souza, Meghan Muller, and 8 more authors
    NeuroImage, 2019
  5. F113. Hippocampal Subfield-Specific Sex Differences in Patients With Major Depressive Disorder
    Christine Desjardins, Nikita Nogovitsyn, Roberto Souza, and 8 more authors
    Biological Psychiatry, 2019
  6. Subfield-Specific Hippocampal Volumes in Youth at Risk for Mental Illness
    Nikita Nogovitsyn, Amelia Srajer, Meghan Muller, and 8 more authors
    In Biological Psychiatry, 2019
  7. Quality Control Framework for Large MR Datasets: Automated Approaches to Outlier Detection
    Mariana Bento, Roberto Souza, Marina Salluzzi, and 1 more author
    In XXVI Brazilian Congress on Biomedical Engineering: CBEB 2018, Armação de Buzios, RJ, Brazil, 21-25 October 2018 (Vol. 2), 2019
  8. Investigation of Fully Connected Neural Networks for Reconstruction of MR Images
    Roberto Souza, Mariana Bento, and Richard Frayne
    In XXVI Brazilian Congress on Biomedical Engineering: CBEB 2018, Armação de Buzios, RJ, Brazil, 21-25 October 2018 (Vol. 2), 2019
  9. Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set
    Mariana Bento, Roberto Souza, Marina Salluzzi, and 3 more authors
    Magnetic resonance imaging, 2019
  10. Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks
    Oeslle Lucena, Roberto Souza, Leticia Rittner, and 2 more authors
    Artificial intelligence in medicine, 2019
  11. Brain Extraction Network Trained with" Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation
    Roberto Souza, Oeslle Lucena, Mariana Bento, and 5 more authors
    In 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2019
  12. Restoration of lossy JPEG-compressed brain MR images using cross-domain neural networks
    Kevin J Chung, Roberto Souza, and Richard Frayne
    IEEE Signal Processing Letters, 2019
  13. W-net: A Hybrid Compressed Sensing MR Reconstruction Model
    Roberto Souza and Richard Frayne
    In , 2019

2018

  1. Method for multiclass classification in open-set scenarios and uses thereof
    Pedro RIBEIRO MENDES JÚNIOR, Roberto MEDEIROS DE SOUZA, Rafael DE OLIVEIRA WERNECK, and 7 more authors
    Nov 2018
    US Patent 10,133,988
  2. An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement
    Roberto Souza, Oeslle Lucena, Julia Garrafa, and 6 more authors
    NeuroImage, Nov 2018
  3. Silver standard masks for data augmentation applied to deep-learning-based skull-stripping
    Oeslle Lucena, Roberto Souza, Leticia Rittner, and 2 more authors
    In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Nov 2018
  4. Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: a skull stripping case study
    Roberto Souza, Oeslle Lucena, Mariana Bento, and 5 more authors
    In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Nov 2018
  5. Normal brain aging: Prediction of age, sex and white matter hyperintensities using a mr image-based machine learning technique
    Mariana Bento, Roberto Souza, Marina Salluzzi, and 1 more author
    In International Conference Image Analysis and Recognition, Nov 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, and 8 more authors
    IEEE geoscience and remote sensing magazine, Nov 2018
  7. Multicenter imaging studies: automated approach to evaluating data variability and the role of outliers
    Mariana Bento, Roberto Souza, and Richard Frayne
    In 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), Nov 2018
  8. A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction
    Robero Souza and Richard Frayne
    arXiv, Nov 2018
  9. Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging
    Lı́via Rodrigues, Roberto Souza, Letı́cia Rittner, and 2 more authors
    In Sipaim–Miccai Biomedical Workshop, Nov 2018
  10. Online Orthogonal Regression Based on a Regularized Squared Loss
    Roberto Souza, Saul Leite, Wagner Meira, and 1 more author
    In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), Nov 2018

2017

  1. iamxt: Max-tree toolbox for image processing and analysis
    Roberto Souza, Letı́cia Rittner, Rubens Machado, and 1 more author
    SoftwareX, Nov 2017
  2. Nearest neighbors distance ratio open-set classifier
    Pedro R Mendes Júnior, Roberto M De Souza, Rafael de O Werneck, and 6 more authors
    Machine Learning, Nov 2017
  3. Max-tree: theory, algorithms and applications= Árvore máxima: teoria, algoritmos e aplicações
    Roberto Medeiros Souza
    [sn], Nov 2017
  4. Transfer learning using convolutional neural networks for face anti-spoofing
    Oeslle Lucena, Amadeu Junior, Vitor Moia, and 3 more authors
    In International Conference on Image Analysis and Recognition, Nov 2017
  5. Semi-automatic common carotid lumen segmentation on dynamic mr images
    Livia Rodrigues, Roberto Souza, Leticia Rittner, and 2 more authors
    International journal of stroke, Nov 2017
  6. WMH segmentation challenge: a texture-based classification approach
    Mariana Bento, Roberto Souza, Roberto Lotufo, and 2 more authors
    In International MICCAI Brainlesion Workshop, Nov 2017
  7. Common Carotid Artery Lumen Segmentation from Cardiac Cycle-resolved Cine Fast Spin Echo Magnetic Resonance Imaging
    Lıvia Rodrigues, Roberto Medeiros De Souza, Letı́cia Rittner, and 2 more authors
    In 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), Nov 2017

2016

  1. Extinction profiles: A novel approach for the analysis of remote sensing data
    Pedram Ghamisi, Roberto Souza, Letı́cia Rittner, and 3 more authors
    In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Nov 2016
  2. Extinction profiles for the classification of remote sensing data
    Pedram Ghamisi, Roberto Souza, Jon Atli Benediktsson, and 3 more authors
    IEEE Transactions on Geoscience and Remote Sensing, Nov 2016
  3. Hyperspectral data classification using extended extinction profiles
    Pedram Ghamisi, Roberto Souza, Jon Atli Benediktsson, and 3 more authors
    IEEE Geoscience and Remote Sensing Letters, Nov 2016
  4. An overview of max-tree principles, algorithms and applications
    Roberto Souza, Luı́s Tavares, Letı́cia Rittner, and 1 more author
    In 2016 29th SIBGRAPI conference on graphics, patterns and images tutorials (SIBGRAPI-T), Nov 2016
  5. Extended extinction profile for the classification of hyperspectral images
    Pedram Ghamisi, Roberto Souza, Jon A Benediktsson, and 3 more authors
    In 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Nov 2016
  6. A max-tree simplification proposal and applications for the interactive max-tree visualization tool
    Luis A Tavares, Roberto M Souza, Leticia Rittner, and 2 more authors
    In 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), Nov 2016
  7. Olfactory Impairment Is Associate with Cognitive Dysfunction and Regional Brain Atrophy in Systemic Sclerosis
    Mariana Freschi Bombini, Fernando A Peres, Nailu A Sinicato, and 6 more authors
    In ARTHRITIS & RHEUMATOLOGY, Nov 2016
  8. Hands-on Morphological Processing using the Max-tree Data Structure
    ROBERTO SOUZA, LUIS TAVARES, LETÍCIA RITTNER, and 1 more author
    Nov 2016
  9. Sistema de produção de leite, implantado na Estação Experimental de Bananal do Norte-Cachoeiro de Itapemirim (ES).
    A GUSS, JAE AGOSTINI, RM SOUZA, and 8 more authors
    Nov 2016

2015

  1. Web-based platform for collaborative medical imaging research
    Leticia Rittner, Mariana P Bento, André L Costa, and 3 more authors
    In Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, Nov 2015
  2. A comparison between extinction filters and attribute filters
    Roberto Souza, Letı́cia Rittner, Rubens Machado, and 1 more author
    In International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, Nov 2015
  3. Interactive max-tree visualization tool for image processing and analysis
    Luı́s Tavares, Roberto Souza, Leticia Rittner, and 2 more authors
    Nov 2015
  4. An array-based node-oriented max-tree representation
    Roberto Souza, Leticia Rittner, Roberto Lotufo, and 1 more author
    In 2015 IEEE International Conference on Image Processing, Nov 2015

2014

  1. A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers
    Roberto Souza, Letı́cia Rittner, and Roberto Lotufo
    Pattern recognition letters, Nov 2014
  2. Maximal max-tree simplification
    Roberto Souza, Leticia Rittner, Rubens Machado, and 1 more author
    In 2014 22nd International conference on pattern recognition, Nov 2014
  3. Maximal max-tree simplification= Simplificação maximal da árvore máxima
    Roberto Medeiros Souza
    [sn], Nov 2014

2012

  1. A comparison between optimum-path forest and k-nearest neighbors classifiers
    Roberto Souza, Roberto Lotufo, and Leticia Rittner
    In 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images, Nov 2012

2009

  1. Design of thin film filters using differential evolution optimization technique
    RVMP Pantoja, RM Souza, RM Rodrigues, and 3 more authors
    In 2009 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), Nov 2009
  2. The use of molecular techniques for diagnosis of pathogens in seeds.
    EN Barrocas, J da C Machado, A dos R Figueira, and 4 more authors
    Nov 2009

2001

  1. Control of zucchini squash powdery mildew (Sphaerotheca fuliginea) with water extracts from organic matter.
    AKN Ishida, W Bettiol, and RM de Souza
    Nov 2001

1980

  1. [Dairy cattle breeding in molasses grass pasture of the" Zona da Mata", Minas Gerais [Melinis minutiflora; Brazil]]
    R de A Torres, M Simao Neto, RM Souza, and 1 more author
    Circular Tecnica-Centro Nacional de Pesquisa de Gado de Leite (Brazil), Nov 1980
  2. Recria de animais leiteiros em pastagem de capim-gordura da Zona da Mata de Minas Gerais.
    R de A Torres, M SIMAO NETO, RM Souza, and 2 more authors
    Nov 1980

  1. Towards a fully Automated Time-context Sensitive Convolutional Neural Network for Common Carotid Artery Lumen Segmentation on Dynamic MRI
    Roberto Souza, Mariana Bento, Lı́via Rodrigues, and 3 more authors
    Nov 1980
  2. W-net: A Dual-domain Deep Learning Model for Image Reconstruction
    Roberto Souza, Kevin J Chung, and Richard Frayne
    Nov 1980
  3. Can brain MRI skull-stripping methods be further improved using manual segmentation as ground-truth for validation?
    Roberto Souza, Oeslle Lucena, Letı́cia Rittner, and 2 more authors
    Nov 1980
  4. 2D Single Plane Big Data Convolutional Neural Network for Skull-Stripping
    Oeslle Lucena, Roberto Souza, Richard Frayne, and 2 more authors
    Nov 1980
  5. Towards Domain-invariant Carotid Artery Lumen-wall Segmentation Using Adversarial Networks
    Anna Danko, Roberto Souza, and Richard Frayne
    Nov 1980
  6. Quantitative and Volumetric Assessment of a Deep Cascade Network for MR Reconstruction Under Different Acceleration Factors
    Wallace Souza Loos, Roberto Souza, Mariana Bento, and 2 more authors
    Nov 1980
  7. Enhanced Deep-learning-based Magnetic Resonance Image Reconstruction using Subjects’ Previous Scans
    Roberto Souza, Youssef Beauferris, Wallace Loos, and 3 more authors
    Nov 1980
  8. Calgary-Campinas raw k-space dataset: a benchmark for brain magnetic resonance image reconstruction
    Roberto Souza, M Louis Lauzon, Marina Salluzzi, and 2 more authors
    Nov 1980
  9. Reduction of J-difference Edited Magnetic Resonance Spectroscopy Acquisition Times Using Deep Learning
    Roberto Souza, Jordan McEwen, Carissa Chung, and 1 more author
    Nov 1980
  10. Automatic Vascular Function Estimation using Deep Learning for Dynamic Contrast-enhanced Magnetic Resonance Imaging
    Wallace Souza Loos, Roberto Souza, Linda Andersen, and 2 more authors
    Nov 1980
  11. Maximal Max-Tree Simplification
    Roberto Medeiros Souza
    Nov 1980
  12. Frequency and Phase Correction of GABA-edited MR Spectroscopy using Complex-valued Convolutional Neural Network
    Hanna Bugler, Rodrigo Berto, Roberto Souza, and 1 more author
    Nov 1980
  13. Neonatal Brain MRI Motion Correction using Adult MRI
    Saad Bin Ashraf, Md Afif Al Mamun, Mumu Aktar, and 2 more authors
    Nov 1980
  14. Performance Metric for Assessment of Reconstructed Magnetic Resonance Image Phase
    Natalia Dubljevic, Stephen Moore, Michel Louis Lauzon, and 2 more authors
    Nov 1980
  15. Quality Assessment Tool using Deep Learning for GABA-Edited MRS data
    Hanna Bugler, Roberto Souza, and Ashley D Harris
    Nov 1980
  16. Coil Geometry Effects on Deep-learning-based MR Image Reconstruction
    Natalia Dubljevic, Stephen Moore, Michel Louis Lauzon, and 2 more authors
    Nov 1980
  17. Artifact Simulation Toolbox for GABA-Edited Magnetic Resonance Spectroscopy
    Hanna Bugler, Rodrigo Berto, Roberto Souza, and 1 more author
    Nov 1980
  18. Acute ischemic stroke outcome prediction using deep learning
    Zeyad Abouyoussef, Roberto Souza, and Johanna Ospel
    In Medical Imaging with Deep Learning, Nov 1980
  19. The Fountain of Youth: Augmenting Adult Data for Deep Learning-Based Neonatal Magnetic Resonance Imaging Reconstruction
    Stephen K Moore, Richard Frayne, and Roberto Souza
    In Medical Imaging with Deep Learning, Nov 1980