LAVI (Laboratory of Computer Vision)
Research group at University of São Paulo (USP) - São Carlos School of Engineering (EESC)
University of São Paulo, Brazil
Pinned Repositories
DBT-Reconstruction
LAVI open-source reconstruction toolbox for digital breast tomosynthesis (DBT)
DMAR2dCT
Deep Learning Metal Artifact Reduction for 2D Computed Tomography
IWBI2022-PSloss
This repository contains the training and testing codes for the paper "Imposing noise correlation fidelity on digital breast tomosynthesis restoration through deep learning techniques", submitted to the IWBI 2022 conference.
MCInsertionPackage
This is an agorithm to insert microcalcification clusters into Digital Mammograms
MCInsertionPackage-DBT
Computational method to perform the artificial insertion of microcalcifications in normal mammograms
MCInsertionPackage_2020
This is a new algorithm to insert microcalcification clusters into Digital Mammograms.
MRI_denoising
NoiseDecorrelation-DBT
This repository contains the training and testing codes for the paper "Suppressing noise correlation in digital breast tomosynthesis using convolutional neural network and virtual clinical trials", submitted to the IWBI 2022 conference
pyDBT
This package is a python extension of the DBT toolbox from LAVI-USP
SPIE2022
Restore low-dose DBT projections using VCT software
LAVI (Laboratory of Computer Vision)'s Repositories
LAVI-USP/DBT-Reconstruction
LAVI open-source reconstruction toolbox for digital breast tomosynthesis (DBT)
LAVI-USP/pyDBT
This package is a python extension of the DBT toolbox from LAVI-USP
LAVI-USP/DMAR2dCT
Deep Learning Metal Artifact Reduction for 2D Computed Tomography
LAVI-USP/IWBI2022-PSloss
This repository contains the training and testing codes for the paper "Imposing noise correlation fidelity on digital breast tomosynthesis restoration through deep learning techniques", submitted to the IWBI 2022 conference.
LAVI-USP/SPIE2022
Restore low-dose DBT projections using VCT software
LAVI-USP/MCInsertionPackage-DBT
Computational method to perform the artificial insertion of microcalcifications in normal mammograms
LAVI-USP/MCInsertionPackage_2020
This is a new algorithm to insert microcalcification clusters into Digital Mammograms.
LAVI-USP/2AFC_Interface
GUI for 2AFC and other image evaluation tests
LAVI-USP/CNNonVST
LAVI-USP/MRI_denoising
LAVI-USP/NoiseDecorrelation-DBT
This repository contains the training and testing codes for the paper "Suppressing noise correlation in digital breast tomosynthesis using convolutional neural network and virtual clinical trials", submitted to the IWBI 2022 conference
LAVI-USP/SPIE2023-ImageQuality
It contains the codes for the paper "Assessing the impact of correlated noise in digital mammography: a virtual clinical trial", submitted to the SPIE 2023 conference.
LAVI-USP/CMLMP
Algorithms for Completed Mean Local Mapped Pattern - CMLMP
LAVI-USP/IWBI2022-ImageQuality
It contains the codes for the paper "Using virtual clinical trials to assess objective image quality metrics in the task of microcalcification localization in digital mammography", submitted to the IWBI 2022 conference.
LAVI-USP/Machine-Learning
Study and implementation about deep learning models, architectures, applications and frameworks
LAVI-USP/MCInsertionPackage
This is an agorithm to insert microcalcification clusters into Digital Mammograms
LAVI-USP/.github
LAVI-USP/IWBI2024-RestorationModelObserver
It contains the codes for the paper "Evaluating an image restoration pipeline for digital mammography across varied radiation exposures and microcalcification sizes using model observer analysis", submitted to the IWBI 2024 conference.
LAVI-USP/lavidb
LAVI-USP/SEL0449-SEL5895_2024
Introdução ao Processamento Digital de Imagens (SEL0449/SEL5895 - 2024)
LAVI-USP/SEL0629
SEL 0629 - APLICAÇÃO DE MICROPROCESSADORES I