Roberto Souza - RankMe

70 papers A 1B 2C 3Misc 2Journal 32Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Grid-Based Framework for E-Scooter Demand Representation and Temporal Input Design for Deep Learning: Evidence from Austin, Texas. CoRR Mohammad Sahnoon, Merkebe Getachew Demissie, Roberto Souza
2025	—	`conf`	A Multitask Learning Approach for Segmenting Brain Tumor Sub-regions: Towards Better Generalization. BraTS-Lighthouse/AIMS-TBI@MICCAI (1) Mumu Aktar, Tasneem Nasser, Roberto Souza
2025	—	`conf`	Accelerating Water Removal in MRSI Using Domain Knowledge-Based Deep Learning. ISBI Amir Buchali, Roberto Souza, Stanislav Motyka, Eva Niess, Bernhard Strasser, Wolfgang Bogner, Amirmohammed Shamaei
2025	J	`jnl`	Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images. Comput. Methods Programs Biomed. Nathan Neeteson, Sasha M. Hasick, Roberto Souza, Steven K. Boyd
2025	J	`jnl`	CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach. CoRR Alexandre Lopes, Roberto Souza, Hélio Pedrini
2025	J	`jnl`	CCNeXt: An effective self-supervised stereo depth estimation approach. Comput. Vis. Image Underst. Alexandre Lopes, Roberto Souza, Hélio Pedrini
2025	J	`jnl`	Enhancing and Accelerating Brain MRI through Deep Learning Reconstruction Using Prior Subject-Specific Imaging. CoRR Amirmohammad Shamaei, Alexander Stebner, Salome Bosshart, Johanna Ospel, Gouri Ginde, Mariana P. Bento, Roberto Souza
2025	—	`conf`	Evaluating Deep Learning Based Domain Generalization for Motion Mitigation in Multi-center Brain MRI. GRAIL/RIME@MICCAI Saad Ashraf, Md Afif Al Mamun, Mumu Aktar, Roberto Souza, Mariana P. Bento
2025	—	`conf`	Generalize or Specialize? The Effect of Coil Combining in Deep Learning Based MR Image Reconstruction. ISBI Natalia Dubljevic, Richard Frayne, Roberto Souza
2025	J	`jnl`	Improving skull-stripping for infant MRI via weakly supervised domain adaptation using adversarial learning. Comput. Biol. Medicine Abbas Omidi, Amirmohammad Shamaei, Mumu Aktar, Regan King, Lara Leijser, Roberto Souza
2025	—	`conf`	Investigating Voxel-Level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation. MICCAI (16) Tasneem Nasser, Roberto Souza, Naser El-Sheimy
2025	—	`conf`	Quantifying White Matter Hyperintensities: Predicting Periventricular Fazekas Scores with Uncertainty Estimation. ISBI Susanne Schmid, Amirmohammad Shamaei, Roberto Souza, Richard Frayne
2025	—	`conf`	Robustness Evaluation of Multi-visit Magnetic Resonance Image Reconstruction. GRAIL/RIME@MICCAI Youssef Beauferris, Abbas Omidi, Amirmohammad Shamaei, Jacob Idoko, Gouri Deshpande, Mariana P. Bento, Roberto Souza
2025	—	`conf`	SCOPE: Label Extraction of Stroke Diagnosis from Unstructured Medical Reports Using Retrieval-Augmented Generation. ELAMI@MICCAI Mumu Aktar, Gunjan Jindal, Salome Lou Bosshart, Alexander Stebner, Pedro Paiva, Mariana P. Bento, Johanna Ospel, Roberto Souza
2025	J	`jnl`	Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. Trans. Mach. Learn. Res. Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma A. M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Mark Ungrin, Marina L. Gavrilova, Mariana P. Bento
2024	—	`conf`	Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration. MICCAI (8) Peyman Tahghighi, Yunyan Zhang, Roberto Souza, Amin Komeili
2024	J	`jnl`	Sex differences in brain MRI using deep learning toward fairer healthcare outcomes. Frontiers Comput. Neurosci. Mahsa Dibaji, Johanna Ospel, Roberto Souza, Mariana P. Bento
2024	J	`jnl`	Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. CoRR Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma A. M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Zaman Wahid, Mark Ungrin, Marina L. Gavrilova, Mariana P. Bento
2024	—	`conf`	UNET and UNETR Based Frameworks for Predicting the Short-Term Spatiotemporal Demand of E-Scooter Sharing Services. ITSC Mohammad Sahnoon, Aaron Manuel, Merkebe Getachew Demissie, Roberto Souza
2024	—	`conf`	Unsupervised Domain Adaptation of Brain MRI Skull Stripping Trained on Adult Data to Newborns: Combining Synthetic Data with Domain Invariant Features. MIDL Abbas Omidi, Amirmohammad Shamaei, Anouk Verschuu, Regan King, Lara Leijser, Roberto Souza
2024	A	`conf`	Unsupervised Domain Adaptation of MRI Skull-stripping Trained on Adult Data to Newborns. WACV Abbas Omidi, Aida Mohammadshahi, Neha Gianchandani, Regan King, Lara Leijser, Roberto Souza
2023	—	`conf`	A Multitask Deep Learning Model for Voxel-Level Brain Age Estimation. MLMI@MICCAI (2) Neha Gianchandani, Johanna Ospel, M. Ethan MacDonald, Roberto Souza
2023	J	`jnl`	A voxel-level approach to brain age prediction: A method to assess regional brain aging. CoRR Neha Gianchandani, Mahsa Dibaji, Johanna Ospel, Fernando Vega, Mariana P. Bento, M. Ethan MacDonald, Roberto Souza
2023	J	`jnl`	Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus. SN Comput. Sci. Esmaeil Shakeri, Trafford Crump, Ezekiel Weis, Emad Mohammed, Roberto Souza, Behrouz H. Far
2023	J	`jnl`	Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage. CoRR Reza Kakavand, Mehrdad Palizi, Peyman Tahghighi, Reza Ahmadi, Neha Gianchandani, Samer Adeeb, Roberto Souza, W. Brent Edwards, Amin Komeili
2023	J	`jnl`	Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach. CoRR Neha Gianchandani, Mahsa Dibaji, Mariana P. Bento, M. Ethan MacDonald, Roberto Souza
2023	J	`jnl`	Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms. CoRR Gabriel Santos Martins Dias, Rodrigo Pommot Berto, Mateus Oliveira, Lucas H. Ueda, Sergio Dertkigil, Paula D. P. Costa, Amirmohammad Shamaei, Roberto Souza, Ashley D. Harris, Letícia Rittner
2023	—	`conf`	Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR Imaging. CLIP/FAIMI/EPIMI@MICCAI Mahsa Dibaji, Neha Gianchandani, Akhil Nair, Mansi Singhal, Roberto Souza, Mariana P. Bento
2023	J	`jnl`	Studying the Effects of Sex-related Differences on Brain Age Prediction using brain MR Imaging. CoRR Mahsa Dibaji, Neha Gianchandani, Akhil Nair, Mansi Singhal, Roberto Souza, Mariana P. Bento
2023	J	`jnl`	Towards understanding quality challenges of the federated learning for neural networks: a first look from the lens of robustness. Empir. Softw. Eng. Amin Eslami Abyane, Derui Zhu, Roberto Souza, Lei Ma, Hadi Hemmati
2022	J	`jnl`	A Survey on RGB-D Datasets. CoRR Alexandre Lopes, Roberto Souza, Hélio Pedrini
2022	J	`jnl`	A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation. Frontiers Neuroinformatics Parisa Saat, Nikita Nogovitsyn, Muhammad Yusuf Hassan, Muhammad Athar Ganaie, Roberto Souza, Hadi Hemmati
2022	J	`jnl`	A survey on RGB-D datasets. Comput. Vis. Image Underst. Alexandre Lopes, Roberto Souza, Hélio Pedrini
2022	Misc	`conf`	COVID-19 Vaccine Infodemiology using Unsupervised Natural Language Processing. IRI Esmaeil Shakeri, Anja Slama, Roberto Souza, Behrouz Homayoun Far
2022	—	`conf`	Improving Fast MRI Reconstructions with Pretext Learning in Low-Data Regime. EMBC Amrit Kumar Jethi, Roberto Souza, Keerthi Ram, Mohanasankar Sivaprakasam
2022	—	`conf`	Leveraging Multi-Visit Information for Magnetic Resonance Image Reconstruction: Pilot Study on a Cohort of Glioblastoma Subjects. ISBI Youssef Beauferris, Mike Lasby, Roberto Souza
2022	Misc	`conf`	Using SHAP Analysis to Detect Areas Contributing to Diabetic Retinopathy Detection. IRI Esmaeil Shakeri, Trafford Crump, Ezekiel Weis, Roberto Souza, Behrouz Homayoun Far
2020	J	`jnl`	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. Roberto Souza, Youssef Beauferris, Wallace Loos, Robert Marc Lebel, Richard Frayne
2020	J	`jnl`	Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils. CoRR 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
2020	J	`jnl`	Restoration of Lossy JPEG-Compressed Brain MR Images Using Cross-Domain Neural Networks. IEEE Signal Process. Lett. Kevin J. Chung, Roberto Souza, Richard Frayne
2019	—	`conf`	A Hybrid Frequency-Domain/Image-Domain Deep Network for Magnetic Resonance Image Reconstruction. SIBGRAPI Roberto Souza, Richard Frayne
2019	—	`conf`	A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction. MIDL Roberto Souza, R. Marc Lebel, Richard Frayne
2019	—	`conf`	Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. SIBGRAPI Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto A. Lotufo, Richard Frayne
2019	J	`jnl`	Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artif. Intell. Medicine Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2019	J	`jnl`	Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction. CoRR Roberto Souza, Mariana P. Bento, Nikita Nogovitsyn, Kevin J. Chung, R. Marc Lebel, Richard Frayne
2019	—	`conf`	Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content. Biomedical Applications in Molecular, Structural, and Functional Imaging Juliana Fontolan, Danilo Pereira, Roberto Souza, Simone Appenzeller, Letícia Rittner
2019	—	`conf`	Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol. Computer-Aided Diagnosis Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne
2019	J	`jnl`	Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants. NeuroImage 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
2018	J	`jnl`	A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction. CoRR Roberto Souza, Richard Frayne
2018	J	`jnl`	An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. NeuroImage Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2018	—	`conf`	Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging. SaMBa@MICCAI Lívia Rodrigues, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2018	J	`jnl`	Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks. CoRR Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2018	—	`conf`	Detecting Spatial Clusters of Infection Risk with Geo-Located Social Media Data. PhD@VLDB Roberto Souza
2018	—	`conf`	Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers. SIBGRAPI Mariana P. Bento, Roberto Souza, Richard Frayne
2018	—	`conf`	Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique. ICIAR Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne
2018	C	`conf`	Online Orthogonal Regression Based on a Regularized Squared Loss. ICMLA Roberto Souza, Saul C. Leite, Wagner Meira Jr., Eduardo R. Hruschka
2018	—	`conf`	Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. ISBI Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto A. Lotufo, Richard Frayne
2018	—	`conf`	Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. ISBI Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2017	—	`conf`	Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing. ICIAR Oeslle Lucena, Amadeu Junior, Vitor Moia, Roberto Souza, Eduardo Valle, Roberto A. Lotufo
2017	J	`jnl`	iamxt: Max-tree toolbox for image processing and analysis. SoftwareX Roberto Souza, Letícia Rittner, Rubens Machado, Roberto A. Lotufo
2016	—	`conf`	An Overview of Max-Tree Principles, Algorithms and Applications. SIBGRAPI Tutorials Roberto Souza, Luis A. Tavares, Letícia Rittner, Roberto A. Lotufo
2016	—	`conf`	Extended extinction profile for the classification of hyperspectral images. WHISPERS Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto A. Lotufo
2016	J	`jnl`	Extinction Profiles for the Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto A. Lotufo
2016	C	`conf`	Extinction profiles: A novel approach for the analysis of remote sensing data. IGARSS Pedram Ghamisi, Roberto Souza, Letícia Rittner, Jón Atli Benediktsson, Roberto A. Lotufo, Xiao Xiang Zhu
2016	J	`jnl`	Hyperspectral Data Classification Using Extended Extinction Profiles. IEEE Geosci. Remote. Sens. Lett. Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Letícia Rittner, Roberto A. Lotufo, Xiao Xiang Zhu
2015	C	`conf`	A Comparison Between Extinction Filters and Attribute Filters. ISMM Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto A. Lotufo
2015	B	`conf`	An array-based node-oriented max-tree representation. ICIP Roberto Souza, Letícia Rittner, Roberto A. Lotufo, Rubens Campos Machado
2014	J	`jnl`	A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers. Pattern Recognit. Lett. Roberto Souza, Letícia Rittner, Roberto A. Lotufo
2014	B	`conf`	Maximal Max-Tree Simplification. ICPR Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto A. Lotufo
2012	—	`conf`	A Comparison between Optimum-Path Forest and k-Nearest Neighbors Classifiers. SIBGRAPI Roberto Souza, Roberto A. Lotufo, Letícia Rittner