Mariana P. Bento

According to our database, Mariana P. Bento authored at least 27 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation.

Kauê T. N. Duarte, Abhijot S. Sidhu, Murilo Costa de Barros, David G. Gobbi, Cheryl R. McCreary, Feryal Saad, Richard Camicioli, Eric E. Smith, Mariana P. Bento, Richard Frayne

Frontiers Comput. Neurosci., 2024

Sex differences in brain MRI using deep learning toward fairer healthcare outcomes.

Mahsa Dibaji, Johanna Ospel, Roberto Souza, Mariana P. Bento

Frontiers Comput. Neurosci., 2024

Responsible AI in the Software Industry: A Practitioner-Centered Perspective.

Matheus de Morais Leça, Mariana P. Bento, Ronnie de Souza Santos

CoRR, 2024

Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems.

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 Harris, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma Stanley, Roberto Souza, Ronnie Souza, Lana Wells, Tyler Williamson, Matthias Wilms, Zaman Wahid, Mark Ungrin, Marina Gavrilova, Mariana P. Bento

CoRR, 2024

Improving Prenatal Alcohol Exposure classification using Data Augmentation in 3D Convolutional Neural Networks.

Kauê T. N. Duarte, Anik Das, Catherine Lebel, Mariana P. Bento

Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024

Fairness in Healthcare: Assessing Data Bias and Algorithmic Fairness.

Farzaneh Dehghani, Nikita Malik, Joanna Lin, Sayeh Bayat, Mariana P. Bento

Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024

2023

A voxel-level approach to brain age prediction: A method to assess regional brain aging.

Neha Gianchandani, Mahsa Dibaji, Johanna Ospel, Fernando Vega, Mariana P. Bento, M. Ethan MacDonald, Roberto Souza

CoRR, 2023

Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach.

Neha Gianchandani, Mahsa Dibaji, Mariana P. Bento, M. Ethan MacDonald, Roberto Souza

CoRR, 2023

Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR Imaging.

Mahsa Dibaji, Neha Gianchandani, Akhil Nair, Mansi Singhal, Roberto Souza, Mariana P. Bento

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

Automated quality check of corpus callosum segmentation using deep learning.

William J. Herrera, Simone Appenzeller, Fabiano Reis, Danilo Pereira, Mariana P. Bento, Letícia Rittner

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets.

Mariana P. Bento, Irene Fantini, Justin Park, Letícia Rittner, Richard Frayne

Frontiers Neuroinformatics, 2021

Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging.

Irene Fantini, Clarissa L. Yasuda, Mariana P. Bento, Letícia Rittner, Fernando Cendes, Roberto A. Lotufo

Comput. Medical Imaging Graph., 2021

2019

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.

Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso

IEEE Trans. Medical Imaging, 2019

Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction.

Roberto Souza, Mariana P. Bento, Nikita Nogovitsyn, Kevin J. Chung, R. Marc Lebel, Richard Frayne

CoRR, 2019

Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation.

Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto A. Lotufo, Richard Frayne

Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol.

Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018

Computational methods for corpus callosum segmentation on MRI: A systematic literature review.

Giovana Cover, William Garcia Herrera, Mariana P. Bento, Simone Appenzeller, Letícia Rittner

Comput. Methods Programs Biomed., 2018

Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers.

Mariana P. Bento, Roberto Souza, Richard Frayne

Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data.

Gustavo Retuci Pinheiro, Raphael Voltoline, Mariana P. Bento, Letícia Rittner

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Automatic callosal fiber convergence plane computation through DTI-based divergence map.

Gustavo R. Pinheiro, Giovana S. Cover, Mariana P. Bento, Letícia Rittner

Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study.

Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto A. Lotufo, Richard Frayne

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique.

Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017

Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging.

Giovana Cover, Mariana Pereira, Mariana P. Bento, Simone Appenzeller, Letícia Rittner

IEEE Access, 2017

WMH Segmentation Challenge: A Texture-Based Classification Approach.

Mariana P. Bento, Roberto Medeiros de Souza, Roberto A. Lotufo, Richard Frayne, Letícia Rittner

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification.

Mariana P. Bento, Yan Sym, Richard Frayne, Roberto A. Lotufo, Letícia Rittner

Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

2013

Analysis of brain white matter hyperintensities using pattern recognition techniques.

Mariana P. Bento, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto A. Lotufo

Proceedings of the Medical Imaging 2013: Image Processing, 2013

2011

Adessowiki: Collaborative Scientific Programming Environment.

Letícia Rittner, André Vital Saúde, Alexandre Gonçalves Silva, Rubens Campos Machado, Mariana P. Bento, Roberto A. Lotufo

Proceedings of the 24th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2011