Leticia Rittner
Leticia Rittner
Associate Professor, School of Electrical and Computer Engineering, University of Campinas (UNICAMP)
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Citado por
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge
HJ Kuijf, JM Biesbroek, J de Bresser, R Heinen, S Andermatt, M Bento, ...
IEEE transactions on medical imaging, 2019
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement
R Souza, O Lucena, J Garrafa, D Gobbi, M Saluzzi, S Appenzeller, ...
NeuroImage 170, 482-494, 2018
Extinction profiles for the classification of remote sensing data
P Ghamisi, R Souza, JA Benediktsson, XX Zhu, L Rittner, RA Lotufo
IEEE Transactions on Geoscience and Remote Sensing 54 (10), 5631-5645, 2016
Hyperspectral data classification using extended extinction profiles
P Ghamisi, R Souza, JA Benediktsson, L Rittner, R Lotufo, XX Zhu
IEEE Geoscience and Remote Sensing Letters 13 (11), 1641-1645, 2016
Magnetic resonance imaging in neuropsychiatric systemic lupus erythematosus: current state of the art and novel approaches
M Postal, AT Lapa, F Reis, L Rittner, S Appenzeller
Lupus 26 (5), 517-521, 2017
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks
O Lucena, R Souza, L Rittner, R Frayne, R Lotufo
Artificial Intelligence in Medicine 98, 48-58, 2019
Hippocampus segmentation on epilepsy and Alzheimer's disease studies with multiple convolutional neural networks
D Carmo, B Silva, C Yasuda, L Rittner, R Lotufo, ...
Heliyon 7 (2), e06226, 2021
Pearson's correlation coefficient for discarding redundant information in real time autonomous navigation system
AM Neto, L Rittner, N Leite, DE Zampieri, R Lotufo, A Mendeleck
2007 IEEE International Conference on Control Applications, 426-431, 2007
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
Automatic detection of motion artifacts on MRI using Deep CNN
I Fantini, L Rittner, C Yasuda, R Lotufo
2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 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
Brain diffusion tensor MRI in systematic lupus erythematosus: A systematic review
BL Costallat, DM Ferreira, AT Lapa, L Rittner, LTL Costallat, ...
Autoimmunity reviews 17 (1), 36-43, 2018
A comparison between k-optimum path forest and k-nearest neighbors supervised classifiers
R Souza, L Rittner, R Lotufo
Pattern recognition letters 39, 2-10, 2014
Watershed-based segmentation of the midsagittal section of the corpus callosum in diffusion MRI
P Freitas, L Rittner, S Appenzeller, R Lotufo
2011 24th SIBGRAPI Conference on Graphics, Patterns and Images, 274-280, 2011
Multi-Coil MRI Reconstruction Challenge—Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations
Y Beauferris, J Teuwen, D Karkalousos, N Moriakov, M Caan, G Yiasemis, ...
Frontiers in Neuroscience 16, 919186, 2022
Olfactory function in systemic lupus erythematosus and systemic sclerosis. A longitudinal study and review of the literature
MF Bombini, FA Peres, AT Lapa, NA Sinicato, BR Quental, ÁSM Pincelli, ...
Autoimmunity reviews 17 (4), 405-412, 2018
Etiology-based classification of brain white matter hyperintensity on magnetic resonance imaging
M Leite, L Rittner, S Appenzeller, HH Ruocco, RA Lotufo
Journal of Medical Imaging 2 (1), 014002, 2015
Silver standard masks for data augmentation applied to deep-learning-based skull-stripping
O Lucena, R Souza, L Rittner, R Frayne, R Lotufo
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Diffusion tensor imaging segmentation by watershed transform on tensorial morphological gradient
L Rittner, R Lotufo
2008 XXI Brazilian Symposium on Computer Graphics and Image Processing, 196-203, 2008
New tensorial representation of color images: Tensorial morphological gradient applied to color image segmentation
L Rittner, F Flores, R Lotufo
XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI …, 2007
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