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- affiliation: University of Campinas, Medical Image Computing Lab, Brazil
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2020 – today
- 2024
[c54]Diedre Carmo, Letícia Rittner, Roberto de Alencar Lotufo:
VisualT5: Multitasking Caption and Concept Prediction with Pre-trained ViT, T5 and Customized Spatial Attention in Radiological Images. CLEF (Working Notes) 2024: 1525-1532- [c53]Ana Clara C. Silveira, Diedre Santos do Carmo, Lucas H. Ueda, Denis G. Fantinato, Paula D. P. Costa, Letícia Rittner:
Vision Transformer MST++: Efficient Hyperspectral Skin Reconstruction. ICASSP Workshops 2024: 51-52 - [c52]Robson A. Colares, Evandro Conforti, Letícia Rittner, Darli A. A. Mello:
Field Trial of an ML-Assisted Phase-Sensitive OTDR for Traffic Monitoring in Smart Cities. ICTON 2024: 1-4 - [c51]Luan Silva, Maria Carolina Coradini, Guilherme Ribeiro, Thiago Fellipe Ortiz de Camargo, Paulo Victor dos Santos, Giovanna Mendes, Joselisa de Paiva, Wesley Pacheco Calixto, Letícia Rittner, Rafael Loureiro, Márcio Reis, Anderson Soares:
Classification of Pulmonary Embolism on Computed Tomography Angiography Using Artificial Intelligence. ISBI 2024: 1-5 - [c50]Mateus Oliveira Da Silva, Caio Pinheiro Santana, Diedre Santos do Carmo, Letícia Rittner:
FOD-Swin-Net: Angular Super Resolution of Fiber Orientation Distribution Using a Transformer-Based Deep Model. ISBI 2024: 1-5 - [i13]Lívia Rodrigues, Martina Bocchetta, Oula Puonti, Douglas N. Greve, Ana Carolina Londe, Marcondes França, Simone Appenzeller, Juan Eugenio Iglesias, Letícia Rittner:
H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation. CoRR abs/2401.17104 (2024) - [i12]Mateus Oliveira Da Silva, Caio Pinheiro Santana, Diedre Santos do Carmo, Letícia Rittner:
FOD-Swin-Net: angular super resolution of fiber orientation distribution using a transformer-based deep model. CoRR abs/2402.11775 (2024) - [i11]Lívia Rodrigues, Martina Bocchetta, Oula Puonti, Douglas N. Greve, Ana Carolina Londe, Marcondes França, Simone Appenzeller, Letícia Rittner, Juan Eugenio Iglesias:
High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models. CoRR abs/2406.19492 (2024) - 2023
- [c49]Brunna C. R. S. Furriel, Artur Paulo, Guilherme Ribeiro, Paulo Santos, Eduardo Reis, Giovanna Mendes, Joselisa Q. Paiva, Rafael Loureiro, Letícia Rittner, Márcio Reis:
Convolutional Neural Network for Pleural Effusion Classification. LA-CCI 2023: 1-6 - [c48]João Vitor Alcantara, Joany Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner
:
Volumetric corpus callosum segmentation integrated to inCCsight software for supporting DTI-based studies. Medical Imaging: Computer-Aided Diagnosis 2023 - [c47]Artur Paulo, Fabiano Filho, Tayran Olegário, Bruna Pinto, Rafael Loureiro, Guilherme Ribeiro, Camila Silva, Regiane Carvalho, Paulo Santos, Eduardo Reis, Giovanna Mendes, Joselisa de Paiva, Márcio Reis, Letícia Rittner:
Brain Age Prediction Based on Head Computed Tomography Segmentation. MLCN@MICCAI 2023: 112-122 - [c46]Márcio Vinícius De Jesus Almeida, Gabriel Santos Martins Dias, Mateus Oliveira Da Silva, Letícia Rittner:
Magnetic Resonance Spectroscopy Fitting through Spectrogram and Vision Transformers. SIPAIM 2023: 1-5 - [c45]Caio Pinheiro Santana, Thays Abreu, Joany Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner:
DTI-based Corpus Callosum parcellation using the Tensorial Morphological Gradient and Self-Organizing Maps. SIPAIM 2023: 1-5 - [i10]Diedre Carmo, Gustavo R. Pinheiro, Lívia Rodrigues, Thays Abreu, Roberto de Alencar Lotufo, Letícia Rittner:
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide. CoRR abs/2304.05901 (2023) - [i9]Diedre S. Carmo, Rosarie A. Tudas, Alejandro P. Comellas, Letícia Rittner, Roberto de Alencar Lotufo, Joseph M. Reinhardt, Sarah E. Gerard:
Automatic segmentation of lung findings in CT and application to Long COVID. CoRR abs/2310.09446 (2023) - [i8]Gabriel Santos Martins Dias, Rodrigo Pommot Berto, Mateus Oliveira, Lucas H. Ueda, Sergio Dertkigil, Paula D. P. Costa, Amirmohammad Shamaei, Roberto Souza, Ashley Harris, Letícia Rittner:
Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms. CoRR abs/2311.15386 (2023) - [i7]Diedre S. Carmo, Jean Ribeiro, Alejandro P. Comellas, Joseph M. Reinhardt, Sarah E. Gerard, Letícia Rittner, Roberto de Alencar Lotufo:
MEDPSeg: End-to-end segmentation of pulmonary structures and lesions in computed tomography. CoRR abs/2312.02365 (2023) - 2022
- [j15]Lívia Rodrigues, Thiago Junqueira Ribeiro Rezende, Guilherme Wertheimer, Yves Santos, Marcondes França, Letícia Rittner:
A benchmark for hypothalamus segmentation on T1-weighted MR images. NeuroImage 264: 119741 (2022) - [c44]William J. Herrera, Simone Appenzeller, Fabiano Reis, Danilo Pereira, Mariana P. Bento, Letícia Rittner:
Automated quality check of corpus callosum segmentation using deep learning. Medical Imaging: Image Processing 2022 - [i6]Diedre Carmo, Letícia Rittner, Roberto de Alencar Lotufo:
Open-source tool for Airway Segmentation in Computed Tomography using 2.5D Modified EfficientDet: Contribution to the ATM22 Challenge. CoRR abs/2209.15094 (2022) - 2021
- [j14]Thaïs Caldeira, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner:
inCCsight: A software for exploration and visualization of DT-MRI data of the Corpus Callosum. Comput. Graph. 99: 259-271 (2021) - [j13]Irene Fantini, Clarissa L. Yasuda, Mariana P. Bento, Letícia Rittner, Fernando Cendes, Roberto de Alencar Lotufo:
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging. Comput. Medical Imaging Graph. 90: 101897 (2021) - [j12]Mariana P. Bento, Irene Fantini, Justin Park, Letícia Rittner, Richard Frayne:
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets. Frontiers Neuroinformatics 15: 805669 (2021) - [c43]Danilo Pereira, Larissa Ganaha, Simone Appenzeller, Letícia Rittner:
Open-source toolbox for analysis and spectra quality control of magnetic resonance spectroscopic imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c42]Gustavo R. Pinheiro, Lorenza Brusini, Albulena Bajrami, Francesca B. Pizzini, Massimiliano Calabrese, Fabiano Reis, Simone Appenzeller, Gloria Menegaz, Letícia Rittner:
Diffusion MRI and silver standard masks to improve CNN-based thalamus segmentation. Medical Imaging: Image Processing 2021 - 2020
- [c41]Diedre Carmo, Letícia Rittner, Roberto de Alencar Lotufo:
MultiATTUNet: Brain Tumor Segmentation and Survival Multitasking. BrainLes@MICCAI (1) 2020: 424-434 - [c40]Federica Cruciani, Lorenza Brusini, Mauro Zucchelli, Gustavo Retuci Pinheiro, Francesco Setti, Ilaria Boscolo Galazzo, Rachid Deriche, Letícia Rittner, Massimiliano Calabrese, Gloria Menegaz:
Explainable 3D-CNN for Multiple Sclerosis Patients Stratification. ICPR Workshops (3) 2020: 103-114 - [c39]Mariana Pereira, Irene Fantini, Roberto de Alencar Lotufo, Letícia Rittner:
An extended-2D CNN for multiclass Alzheimer's Disease diagnosis through structural MRI. Medical Imaging: Computer-Aided Diagnosis 2020 - [i5]Diedre Carmo, Bruna Silva, Clarissa L. Yasuda, Letícia Rittner, Roberto de Alencar Lotufo:
Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies with Multiple Convolutional Neural Networks. CoRR abs/2001.05058 (2020) - [i4]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:
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils. CoRR abs/2011.07952 (2020)
2010 – 2019
- 2019
- [j11]Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo:
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artif. Intell. Medicine 98: 48-58 (2019) - [j10]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:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c38]Juliana Fontolan, Danilo Pereira, Roberto Souza, Simone Appenzeller, Letícia Rittner:
Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530V - [c37]Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo, Richard Frayne:
Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. SIBGRAPI 2019: 234-240 - [i3]Diedre Carmo, Bruna Silva, Clarissa L. Yasuda, Letícia Rittner, Roberto de Alencar Lotufo:
Extended 2D Volumetric Consensus Hippocampus Segmentation. CoRR abs/1902.04487 (2019) - [i2]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 Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - 2018
- [j9]Giovana Cover, William Garcia Herrera, Mariana P. Bento, Simone Appenzeller, Letícia Rittner:
Computational methods for corpus callosum segmentation on MRI: A systematic literature review. Comput. Methods Programs Biomed. 154: 25-35 (2018) - [j8]Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo:
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. NeuroImage 170: 482-494 (2018) - [c36]Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo:
Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. ISBI 2018: 1114-1117 - [c35]Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto de Alencar Lotufo, Richard Frayne:
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. ISBI 2018: 1344-1347 - [c34]Fetnanda Tamy Ishii, Franklin César Flores, Letícia Rittner:
Tensorial Lucas-Kanade: An Optical Flow Estimator Based on Tensorial Color Representation and Tensorial Algebra. ISCC 2018: 633-639 - [c33]Gustavo R. Pinheiro, Giovana S. Cover, Mariana P. Bento, Letícia Rittner:
Automatic callosal fiber convergence plane computation through DTI-based divergence map. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057815 - [c32]Mariana Pereira, Giovana Cover, Simone Appenzeller, Letícia Rittner:
Corpus callosum parcellation methods: a quantitative comparative study. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057817 - [c31]Lívia Rodrigues, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo:
Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging. SaMBa@MICCAI 2018: 16-24 - [c30]Gustavo Retuci Pinheiro, Raphael Voltoline, Mariana P. Bento, Letícia Rittner:
V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data. BrainLes@MICCAI (1) 2018: 301-309 - [c29]Irene Fantini, Letícia Rittner, Clarissa L. Yasuda, Roberto de Alencar Lotufo:
Automatic detection of motion artifacts on MRI using Deep CNN. PRNI 2018: 1-4 - [i1]Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo:
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks. CoRR abs/1804.04988 (2018) - 2017
- [j7]Giovana Cover, Mariana Pereira, Mariana P. Bento, Simone Appenzeller, Letícia Rittner:
Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging. IEEE Access 5: 22421-22432 (2017) - [j6]Roberto Souza, Letícia Rittner, Rubens Machado, Roberto de Alencar Lotufo:
iamxt: Max-tree toolbox for image processing and analysis. SoftwareX 6: 81-84 (2017) - [c28]Mariana P. Bento, Yan Sym, Richard Frayne, Roberto de Alencar Lotufo, Letícia Rittner:
Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification. ICIAR 2017: 71-78 - [c27]Mariana P. Bento, Roberto Medeiros de Souza, Roberto de Alencar Lotufo, Richard Frayne, Letícia Rittner:
WMH Segmentation Challenge: A Texture-Based Classification Approach. BrainLes@MICCAI 2017: 489-500 - [c26]Lívia Rodrigues, Roberto Medeiros de Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo:
Common Carotid Artery Lumen Segmentation from Cardiac Cycle-Resolved Cine Fast Spin Echo Magnetic Resonance Imaging. SIBGRAPI 2017: 442-449 - 2016
- [j5]Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Letícia Rittner, Roberto de Alencar Lotufo, Xiao Xiang Zhu:
Hyperspectral Data Classification Using Extended Extinction Profiles. IEEE Geosci. Remote. Sens. Lett. 13(11): 1641-1645 (2016) - [j4]Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto de Alencar Lotufo:
Extinction Profiles for the Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 54(10): 5631-5645 (2016) - [c25]Gustavo R. Pinheiro, Guilherme S. Soares, André Luis Costa, Roberto de Alencar Lotufo, Letícia Rittner:
Divergence map from diffusion tensor imaging: Concepts and application to corpus callosum. EMBC 2016: 1120-1123 - [c24]Pedram Ghamisi, Roberto Souza, Letícia Rittner, Jón Atli Benediktsson, Roberto de Alencar Lotufo, Xiao Xiang Zhu:
Extinction profiles: A novel approach for the analysis of remote sensing data. IGARSS 2016: 5122-5125 - [c23]Mariana Leite, David G. Gobbi, Marina Salluzzi, Richard Frayne, Roberto de Alencar Lotufo, Letícia Rittner:
3D texture-based classification applied on brain white matter lesions on MR images. Medical Imaging: Computer-Aided Diagnosis 2016: 97852N - [c22]Roberto Souza, Luis A. Tavares, Letícia Rittner, Roberto de Alencar Lotufo:
An Overview of Max-Tree Principles, Algorithms and Applications. SIBGRAPI Tutorials 2016: 15-23 - [c21]Luis A. Tavares, Roberto M. Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo:
A Max-Tree Simplification Proposal and Applications for the Interactive Max-Tree Visualization Tool. SIBGRAPI 2016: 313-320 - [c20]Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto de Alencar Lotufo:
Extended extinction profile for the classification of hyperspectral images. WHISPERS 2016: 1-4 - 2015
- [c19]Roberto Souza, Letícia Rittner, Roberto de Alencar Lotufo, Rubens Campos Machado:
An array-based node-oriented max-tree representation. ICIP 2015: 3620-3624 - [c18]Luis A. Tavares, Roberto M. Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo:
Interactive max-tree visualization tool for image processing and analysis. IPTA 2015: 119-124 - [c17]Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo:
A Comparison Between Extinction Filters and Attribute Filters. ISMM 2015: 63-74 - [c16]André Luis Costa, Letícia Rittner, Roberto de Alencar Lotufo, Simone Appenzeller:
Mid-callosal plane determination using preferred directions from diffusion tensor images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94172A - 2014
- [j3]Roberto Souza, Letícia Rittner, Roberto de Alencar Lotufo:
A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers. Pattern Recognit. Lett. 39: 2-10 (2014) - [c15]Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo:
Maximal Max-Tree Simplification. ICPR 2014: 3132-3137 - [c14]Letícia Rittner, Jayaram K. Udupa, Drew A. Torigian:
Multiple fuzzy object modeling improves sensitivity in automatic anatomy recognition. Medical Imaging: Image Processing 2014: 90342U - 2013
- [j2]Letícia Rittner, Jennifer S. W. Campbell, Pedro Freitas, Simone Appenzeller, G. Bruce Pike, Roberto de Alencar Lotufo:
Analysis of Scalar Maps for the Segmentation of the Corpus Callosum in Diffusion Tensor Fields. J. Math. Imaging Vis. 45(3): 214-226 (2013) - [c13]Mariana P. Bento, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto de Alencar Lotufo:
Analysis of brain white matter hyperintensities using pattern recognition techniques. Medical Imaging: Image Processing 2013: 86693P - 2012
- [c12]Pedro Freitas, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto de Alencar Lotufo:
Watershed-based segmentation of the corpus callosum in diffusion MRI. Medical Imaging: Image Processing 2012: 831432 - [c11]Roberto Souza, Roberto de Alencar Lotufo, Letícia Rittner:
A Comparison between Optimum-Path Forest and k-Nearest Neighbors Classifiers. SIBGRAPI 2012: 260-267 - 2011
- [c10]Letícia Rittner, André Vital Saúde, Alexandre Gonçalves Silva, Rubens Campos Machado, Mariana P. Bento, Roberto de Alencar Lotufo:
Adessowiki: Collaborative Scientific Programming Environment. SIBGRAPI Tutorials 2011: 56-62 - [c9]Pedro Freitas, Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo:
Watershed-Based Segmentation of the Midsagittal Section of the Corpus Callosum in Diffusion MRI. SIBGRAPI 2011: 274-280 - [c8]Rubens Campos Machado, Letícia Rittner, Roberto de Alencar Lotufo:
Adessowiki - Collaborative platform for writing executable papers. ICCS 2011: 759-767 - 2010
- [j1]Letícia Rittner, Franklin César Flores, Roberto de Alencar Lotufo:
A tensorial framework for color images. Pattern Recognit. Lett. 31(4): 277-296 (2010) - [c7]Letícia Rittner, Roberto de Alencar Lotufo, Jennifer S. W. Campbell, G. Bruce Pike:
Segmentation of thalamic nuclei based on tensorial morphological gradient of diffusion tensor fields. ISBI 2010: 1173-1176
2000 – 2009
- 2009
- [c6]Letícia Rittner, Roberto de Alencar Lotufo:
Segmentation of DTI based on tensorial morphological gradient. Medical Imaging: Image Processing 2009: 72591E - [c5]Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo:
Segmentation of Brain Structures by Watershed Transform on Tensorial Morphological Gradient of Diffusion Tensor Imaging. SIBGRAPI 2009: 126-132 - 2008
- [c4]Arthur Miranda Neto, Letícia Rittner, Douglas Eduardo Zampieri, Alessandro Corrêa Victorino:
Nondeterministic Criteria to Discard Redundant Information in Real Time Autonomous Navigation Systems based on Monocular Vision. ISIC 2008: 420-425 - [c3]Letícia Rittner, Roberto de Alencar Lotufo:
Diffusion Tensor Imaging Segmentation by Watershed Transform on Tensorial Morphological Gradient. SIBGRAPI 2008: 196-203 - 2007
- [c2]Arthur Miranda Neto, Letícia Rittner, Neucimar J. Leite, Douglas Eduardo Zampieri, Roberto de Alencar Lotufo, André Mendeleck:
Pearson's Correlation Coefficient for Discarding Redundant Information in Real Time Autonomous Navigation System. CCA 2007: 426-431 - [c1]Letícia Rittner, Franklin César Flores, Roberto de Alencar Lotufo:
New Tensorial Representation of Color Images: Tensorial Morphological Gradient Applied to Color Image Segmentation. SIBGRAPI 2007: 45-52
Coauthor Index
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