| Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ... IEEE transactions on medical imaging 38 (11), 2556-2568, 2019 | 276 | 2019 |
| On the evaluation of texture and color features for nondestructive corrosion detection FNS Medeiros, GLB Ramalho, MP Bento, LCL Medeiros EURASIP Journal on Advances in Signal Processing 2010, 1-7, 2010 | 102 | 2010 |
| Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction R Souza, M Bento, N Nogovitsyn, KJ Chung, W Loos, RM Lebel, R Frayne Magnetic resonance imaging 71, 140-153, 2020 | 63 | 2020 |
| Computational methods for corpus callosum segmentation on MRI: A systematic literature review GS Cover, WG Herrera, MP Bento, S Appenzeller, L Rittner Computer methods and programs in biomedicine 154, 25-35, 2018 | 47 | 2018 |
| Deep learning in large and multi-site structural brain MR imaging datasets M Bento, I Fantini, J Park, L Rittner, R Frayne Frontiers in Neuroinformatics 15, 805669, 2022 | 39 | 2022 |
| Etiology-based classification of brain white matter hyperintensity on magnetic resonance imaging M Leite, L Rittner, S Appenzeller, HH Ruocco, R Lotufo Journal of Medical Imaging 2 (1), 014002-014002, 2015 | 29 | 2015 |
| V-Net and U-Net for ischemic stroke lesion segmentation in a small dataset of perfusion data GR Pinheiro, R Voltoline, M Bento, L Rittner Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 22 | 2019 |
| Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging I Fantini, C Yasuda, M Bento, L Rittner, F Cendes, R Lotufo Computerized Medical Imaging and Graphics 90, 101897, 2021 | 18 | 2021 |
| Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set M Bento, R Souza, M Salluzzi, L Rittner, Y Zhang, R Frayne Magnetic resonance imaging 62, 18-27, 2019 | 17 | 2019 |
| Image processing techniques applied for corrosion damage analysis MP Bento, FN de Medeiros, IC de Paula Jr, GL Ramalho Proceedings of the XXII Brazilian Symposium on Computer Graphics and Image …, 2009 | 14 | 2009 |
| Data-Driven Corpus Callosum Parcellation Method through Diffusion Tensor Imaging G Cover, M Pereira, M Bento, S Appenzeler, L Rittner IEEE Access, 2017 | 12 | 2017 |
| 3D texture-based classification applied on brain white matter lesions on MR images M Leite, D Gobbi, M Salluzi, R Frayne, R Lotufo, L Rittner Medical Imaging 2016: Computer-Aided Diagnosis 9785, 682-687, 2016 | 11 | 2016 |
| A framework for quality control of corpus callosum segmentation in large-scale studies WG Herrera, M Pereira, M Bento, AT Lapa, S Appenzeller, L Rittner Journal of neuroscience methods 334, 108593, 2020 | 10 | 2020 |
| WMH segmentation challenge: a texture-based classification approach M Bento, R de Souza, R Lotufo, R Frayne, L Rittner Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 9 | 2018 |
| Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations AD Harris, H Amiri, M Bento, R Cohen, CRK Ching, C Cudalbu, ... Frontiers in Neurology 13, 1045678, 2023 | 6 | 2023 |
| Corpus callosum shape signature for segmentation evaluation WG Herrera, M Bento, L Rittner XXVI Brazilian Congress on Biomedical Engineering: CBEB 2018, Armação de …, 2019 | 6 | 2019 |
| Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: a skull stripping case study R Souza, O Lucena, M Bento, J Garrafa, S Appenzeller, L Rittner, R Lotufo, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 6 | 2018 |
| Adessowiki: Collaborative Scientific Programming Environment L Rittner, AV Saude, AG Silva, RC Machado, MP Bento, RA Lotufo 2011 24th SIBGRAPI Conference on Graphics, Patterns, and Images Tutorials, 56-62, 2011 | 6 | 2011 |
| Normal brain aging: Prediction of age, sex and white matter hyperintensities using a mr image-based machine learning technique M Bento, R Souza, M Salluzzi, R Frayne International Conference Image Analysis and Recognition, 538-545, 2018 | 5 | 2018 |
| Probabilistic segmentation of brain white matter lesions using texture-based classification M Bento, Y Sym, R Frayne, R Lotufo, L Rittner Image Analysis and Recognition: 14th International Conference, ICIAR 2017 …, 2017 | 5 | 2017 |
Leticia RittnerAssociate Professor, School of Electrical and Computer Engineering, University of Campinas (UNICAMP)在 dca.fee.unicamp.br 的电子邮件经过验证
