LAVI (Laboratory for Advanced Vision and Imaging)'s repositories
DBT-Reconstruction
LAVI open-source reconstruction toolbox for digital breast tomosynthesis (DBT)
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-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.
2AFC_Interface
GUI for 2AFC and other image evaluation tests
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
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.
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.
Machine-Learning
Study and implementation about deep learning models, architectures, applications and frameworks
MCInsertionPackage
This is an agorithm to insert microcalcification clusters into Digital Mammograms
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.