Letícia Rittner

Orcid: 0000-0001-8182-5554

Affiliations:
  • University of Campinas, Medical Image Computing Lab, Brazil


According to our database1, Letícia Rittner authored at least 80 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models.
CoRR, 2024

H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation.
CoRR, 2024

FOD-Swin-Net: Angular Super Resolution of Fiber Orientation Distribution Using a Transformer-Based Deep Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Classification of Pulmonary Embolism on Computed Tomography Angiography Using Artificial Intelligence.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Field Trial of an ML-Assisted Phase-Sensitive OTDR for Traffic Monitoring in Smart Cities.
Proceedings of the 24th International Conference on Transparent Optical Networks, 2024

Vision Transformer MST++: Efficient Hyperspectral Skin Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2024

VisualT5: Multitasking Caption and Concept Prediction with Pre-trained ViT, T5 and Customized Spatial Attention in Radiological Images.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023
MEDPSeg: End-to-end segmentation of pulmonary structures and lesions in computed tomography.
CoRR, 2023

Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms.
CoRR, 2023

Automatic segmentation of lung findings in CT and application to Long COVID.
CoRR, 2023

Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide.
CoRR, 2023

DTI-based Corpus Callosum parcellation using the Tensorial Morphological Gradient and Self-Organizing Maps.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Magnetic Resonance Spectroscopy Fitting through Spectrogram and Vision Transformers.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Brain Age Prediction Based on Head Computed Tomography Segmentation.
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

Volumetric corpus callosum segmentation integrated to inCCsight software for supporting DTI-based studies.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Convolutional Neural Network for Pleural Effusion Classification.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

2022
A benchmark for hypothalamus segmentation on T1-weighted MR images.
NeuroImage, 2022

Open-source tool for Airway Segmentation in Computed Tomography using 2.5D Modified EfficientDet: Contribution to the ATM22 Challenge.
CoRR, 2022

Automated quality check of corpus callosum segmentation using deep learning.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets.
Frontiers Neuroinformatics, 2021

Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging.
Comput. Medical Imaging Graph., 2021

inCCsight: A software for exploration and visualization of DT-MRI data of the Corpus Callosum.
Comput. Graph., 2021

Diffusion MRI and silver standard masks to improve CNN-based thalamus segmentation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Open-source toolbox for analysis and spectra quality control of magnetic resonance spectroscopic imaging.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.
CoRR, 2020

Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies with Multiple Convolutional Neural Networks.
CoRR, 2020

An extended-2D CNN for multiclass Alzheimer's Disease diagnosis through structural MRI.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Explainable 3D-CNN for Multiple Sclerosis Patients Stratification.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

MultiATTUNet: Brain Tumor Segmentation and Survival Multitasking.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019

Extended 2D Volumetric Consensus Hippocampus Segmentation.
CoRR, 2019

Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.
Artif. Intell. Medicine, 2019

Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement.
NeuroImage, 2018

Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks.
CoRR, 2018

Computational methods for corpus callosum segmentation on MRI: A systematic literature review.
Comput. Methods Programs Biomed., 2018

Automatic detection of motion artifacts on MRI using Deep CNN.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging.
Proceedings of the Processing and Analysis of Biomedical Information, 2018

V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Automatic callosal fiber convergence plane computation through DTI-based divergence map.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Corpus callosum parcellation methods: a quantitative comparative study.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Tensorial Lucas-Kanade: An Optical Flow Estimator Based on Tensorial Color Representation and Tensorial Algebra.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Silver standard masks for data augmentation applied to deep-learning-based skull-stripping.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
iamxt: Max-tree toolbox for image processing and analysis.
SoftwareX, 2017

Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging.
IEEE Access, 2017

Common Carotid Artery Lumen Segmentation from Cardiac Cycle-Resolved Cine Fast Spin Echo Magnetic Resonance Imaging.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

WMH Segmentation Challenge: A Texture-Based Classification Approach.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

2016
Extinction Profiles for the Classification of Remote Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2016

Hyperspectral Data Classification Using Extended Extinction Profiles.
IEEE Geosci. Remote. Sens. Lett., 2016

Extended extinction profile for the classification of hyperspectral images.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

A Max-Tree Simplification Proposal and Applications for the Interactive Max-Tree Visualization Tool.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

An Overview of Max-Tree Principles, Algorithms and Applications.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2016

3D texture-based classification applied on brain white matter lesions on MR images.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Extinction profiles: A novel approach for the analysis of remote sensing data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Divergence map from diffusion tensor imaging: Concepts and application to corpus callosum.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Mid-callosal plane determination using preferred directions from diffusion tensor images.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

A Comparison Between Extinction Filters and Attribute Filters.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

Interactive max-tree visualization tool for image processing and analysis.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

An array-based node-oriented max-tree representation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers.
Pattern Recognit. Lett., 2014

Multiple fuzzy object modeling improves sensitivity in automatic anatomy recognition.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Maximal Max-Tree Simplification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Analysis of Scalar Maps for the Segmentation of the Corpus Callosum in Diffusion Tensor Fields.
J. Math. Imaging Vis., 2013

Analysis of brain white matter hyperintensities using pattern recognition techniques.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

2012
A Comparison between Optimum-Path Forest and k-Nearest Neighbors Classifiers.
Proceedings of the 25th SIBGRAPI Conference on Graphics, Patterns and Images, 2012

Watershed-based segmentation of the corpus callosum in diffusion MRI.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011
Adessowiki - Collaborative platform for writing executable papers.
Proceedings of the International Conference on Computational Science, 2011

Adessowiki: Collaborative Scientific Programming Environment.
Proceedings of the 24th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2011

Watershed-Based Segmentation of the Midsagittal Section of the Corpus Callosum in Diffusion MRI.
Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011

2010
A tensorial framework for color images.
Pattern Recognit. Lett., 2010

Segmentation of thalamic nuclei based on tensorial morphological gradient of diffusion tensor fields.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Segmentation of Brain Structures by Watershed Transform on Tensorial Morphological Gradient of Diffusion Tensor Imaging.
Proceedings of the SIBGRAPI 2009, 2009

Segmentation of DTI based on tensorial morphological gradient.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

2008
Diffusion Tensor Imaging Segmentation by Watershed Transform on Tensorial Morphological Gradient.
Proceedings of the SIBGRAPI 2008, 2008

Nondeterministic Criteria to Discard Redundant Information in Real Time Autonomous Navigation Systems based on Monocular Vision.
Proceedings of the 2008 IEEE International Symposium on Intelligent Control, 2008

2007
New Tensorial Representation of Color Images: Tensorial Morphological Gradient Applied to Color Image Segmentation.
Proceedings of the SIBGRAPI 2007, 2007

Pearson's Correlation Coefficient for Discarding Redundant Information in Real Time Autonomous Navigation System.
Proceedings of the IEEE International Conference on Control Applications, 2007


  Loading...