4 citations · 4 across the 5 of their papers we have counts for
6 papers · 1 filter
Mask-guided Data Augmentation for Multiparametric MRI Generation with a Rare Hepatocellular Carcinoma
Karen Sanchez, Carlos Hinojosa, Kevin Arias +4
Data augmentation is classically used to improve the overall performance of deep learning models. It is, however, challenging in the case of medical applications, and in particular…
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems
Edwin Vargas, Julien N. P. Martel, Gordon Wetzstein +1
Compressive imaging using coded apertures (CA) is a powerful technique that can be used to recover depth, light fields, hyperspectral images and other quantities from a single snap…
LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive Data
Juan Marcos Ramírez, José Ignacio Martínez Torre, Henry Arguello Fuentes
Image fusion aims at estimating a high-resolution spectral image from a low-spatial-resolution hyperspectral image and a low-spectral-resolution multispectral image. In this regard…
Compressive Spectral Image Reconstruction using Deep Prior and Low-Rank Tensor Representation
Jorge Bacca, Yesid Fonseca, Henry Arguello
Compressive spectral imaging (CSI) has emerged as an alternative spectral image acquisition technology, which reduces the number of measurements at the cost of requiring a recovery…
Feature Fusion via Dual-resolution Compressive Measurement Matrix Analysis For Spectral Image Classification
Juan Marcos Ramirez, Jose Ignacio Martinez-Torre, Henry Arguello
In the compressive spectral imaging (CSI) framework, different architectures have been proposed to recover high-resolution spectral images from compressive measurements. Since CSI…
Exact Crystalline Structure Recovery in X-ray Crystallography from Coded Diffraction Patterns
Samuel Pinilla, Jorge Bacca, Cesar Vargas +2
X-ray crystallography (XC) is an experimental technique used to determine three-dimensional crystalline structures. The acquired data in XC, called diffraction patterns, is the Fou…