Mariana P. Bento

42 papers B 2Journal 18Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM Use, Cheating, and Academic Integrity in Software Engineering Education. CoRR Ronnie de Souza Santos, Ítalo Santos, Mariana P. Bento, Giuseppe Destefanis, Cleyton V. C. de Magalhães, Mairieli Wessel
2025	J	`jnl`	Accuracy-fairness trade-off in ML for healthcare: A quantitative evaluation of bias mitigation strategies. Inf. Softw. Technol. Farzaneh Dehghani, Pedro V. V. Paiva, Nikita Malik, Joanna Lin, Sayeh Bayat, Mariana P. Bento
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`	FairHealthGrid: A Systematic Framework for Evaluating Bias Mitigation Strategies in Healthcare Machine Learning. AMCIS Pedro V. V. Paiva, Farzaneh Dehghani, Fahim Anzum, Mansi Singhal, Ayah Metwali, Marina L. Gavrilova, Mariana P. Bento
2025	—	`conf`	Longitudinal White Matter Hyperintensity Segmentation with LSTM-Enhanced U-Net. SIBGRAPI Kauê T. N. Duarte, Murilo Costa de Barros, Abhijot S. Sidhu, David G. Gobbi, Cheryl R. McCreary, Feryal Saad, Eric E. Smith, Mariana P. Bento, Richard Frayne
2025	—	`conf`	Navigating Fairness in Healthcare: A Comparative Analysis of Single-Stage and Multi-Stage Bias Mitigation Strategies. SANER-C Farzaneh Dehghani, Pedro V. V. Paiva, Nikita Malik, Joanna Lin, Sayeh Bayat, Mariana P. Bento
2025	—	`conf`	Responsible AI in the Software Industry: A Practitioner-Centered Perspective. RAIE Matheus de Morais Leça, Mariana P. Bento, Ronnie de Souza Santos
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	—	`conf`	Structured Artificial Neural Networks for Chronological Brain Age Prediction using Functional Connectivity Matrices. SIPAIM Kauê T. N. Duarte, Abhijot S. Sidhu, Murilo Costa de Barros, David G. Gobbi, Cheryl R. McCreary, Mariana P. Bento, Richard Frayne
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
2025	—	`conf`	Unsupervised Clustering of Depression Profiles in University Students Using Behavioral and Sociodemographic Features. SIPAIM Arshin Soltan Bayazidi, Natalia Romero, Evandro Yudi Alves Ribeiro, Vanessa de Cassia Alves, Alan Demétrius Baria Valejo, Conrado Dos Santos Alves Saud, Franco Eusébio Garcia, Vânia Paula de Almeida Néris, Mariana P. Bento
2024	—	`conf`	Fairness in Healthcare: Assessing Data Bias and Algorithmic Fairness. SIPAIM Farzaneh Dehghani, Nikita Malik, Joanna Lin, Sayeh Bayat, Mariana P. Bento
2024	—	`conf`	Improving Prenatal Alcohol Exposure classification using Data Augmentation in 3D Convolutional Neural Networks. SIPAIM Kauê T. N. Duarte, Anik Das, Catherine Lebel, Mariana P. Bento
2024	J	`jnl`	Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation. Frontiers Comput. Neurosci. 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
2024	J	`jnl`	Responsible AI in the Software Industry: A Practitioner-Centered Perspective. CoRR Matheus de Morais Leça, Mariana P. Bento, Ronnie de Souza Santos
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
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`	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	—	`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
2022	B	`conf`	Automated quality check of corpus callosum segmentation using deep learning. Image Processing William J. Herrera, Simone Appenzeller, Fabiano Reis, Danilo Pereira, Mariana P. Bento, Letícia Rittner
2021	J	`jnl`	Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging. Comput. Medical Imaging Graph. Irene Fantini, Clarissa L. Yasuda, Mariana P. Bento, Letícia Rittner, Fernando Cendes, Roberto A. Lotufo
2021	J	`jnl`	Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets. Frontiers Neuroinformatics Mariana P. Bento, Irene Fantini, Justin Park, Letícia Rittner, 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`	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`	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`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 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 Li Hsian 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
2018	—	`conf`	Automatic callosal fiber convergence plane computation through DTI-based divergence map. Biomedical Applications in Molecular, Structural, and Functional Imaging Gustavo R. Pinheiro, Giovana S. Cover, Mariana P. Bento, Letícia Rittner
2018	J	`jnl`	Computational methods for corpus callosum segmentation on MRI: A systematic literature review. Comput. Methods Programs Biomed. Giovana Cover, William Garcia Herrera, Mariana P. Bento, Simone Appenzeller, Letícia Rittner
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	—	`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`	V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data. BrainLes@MICCAI (1) Gustavo Retuci Pinheiro, Raphael Voltoline, Mariana P. Bento, Letícia Rittner
2017	J	`jnl`	Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging. IEEE Access Giovana Cover, Mariana Pereira, Mariana P. Bento, Simone Appenzeller, Letícia Rittner
2017	—	`conf`	Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification. ICIAR Mariana P. Bento, Yan Sym, Richard Frayne, Roberto A. Lotufo, Letícia Rittner
2017	—	`conf`	WMH Segmentation Challenge: A Texture-Based Classification Approach. BrainLes@MICCAI Mariana P. Bento, Roberto Medeiros de Souza, Roberto A. Lotufo, Richard Frayne, Letícia Rittner
2013	B	`conf`	Analysis of brain white matter hyperintensities using pattern recognition techniques. Image Processing Mariana P. Bento, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto A. Lotufo
2011	—	`conf`	Adessowiki: Collaborative Scientific Programming Environment. SIBGRAPI Tutorials Letícia Rittner, André Vital Saúde, Alexandre Gonçalves Silva, Rubens Campos Machado, Mariana P. Bento, Roberto A. Lotufo