| Coupled deep learning coded aperture design for compressive image classification J Bacca, L Galvis, H Arguello Optics express 28 (6), 8528-8540, 2020 | 49 | 2020 |
| Coded aperture design in compressive spectral imaging based on side information L Galvis, D Lau, X Ma, H Arguello, GR Arce Applied optics 56 (22), 6332-6340, 2017 | 48 | 2017 |
| Coded aperture design in mismatched compressive spectral imaging L Galvis, H Arguello, GR Arce Applied optics 54 (33), 9875-9882, 2015 | 42 | 2015 |
| Shifting colored coded aperture design for spectral imaging L Galvis, E Mojica, H Arguello, GR Arce Applied optics 58 (7), B28-B38, 2019 | 18 | 2019 |
| Estimación de propiedades mecánicas de roca utilizando inteligencia artificial LV Galvis, CA Ochoa, HA Fuentes, JMC Jiménez, ZHC Carrillo Ingeniería y Ciencia 7 (14), 83-103, 2011 | 8 | 2011 |
| Reconstruction of 2D seismic wavefields from nonuniformly sampled sources L Galvis, JM Ramírez, E Vargas, O Villarreal, W Agudelo, H Arguello Electronic Imaging 32, 1-6, 2020 | 7 | 2020 |
| Coded aperture design in compressive spectral imaging L Galvis-Carreno University of Delaware, 2018 | 5 | 2018 |
| Spatio-spectro-temporal coded aperture design for multiresolution compressive spectral video sensing KL López, L Galvis, HA Fuentes 2017 25th European Signal Processing Conference (EUSIPCO), 728-732, 2017 | 4 | 2017 |
| Optical Codification Design in Compressive Spectral Imaging: From Mathematical to Deep Learning Optimization. L Galvis, H Arguello Óptica Pura y Aplicada 55 (1), 2022 | 3 | 2022 |
| Single-shot coded diffraction system for 3D object shape estimation S Pinilla, L Galvis, K Egiazarian, H Arguello IS and T International Symposium on Electronic Imaging Science and …, 2020 | 3 | 2020 |
| Synthetic coded apertures in compressive spectral imaging L Galvis, H Arguello, GR Arce 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 3 | 2014 |
| Side information in coded aperture compressive spectral imaging L Galvis, H Arguello, D Lau, GR Arce Emerging Digital Micromirror Device Based Systems and Applications IX 10117 …, 2017 | 2 | 2017 |
| Reconstruction of multispectral light field (5d plenoptic function) based on compressive sensing with colored coded apertures from 2D projections KM León-López, LV Galvis-Carreño, H Arguello-Fuentes Revista Facultad de Ingeniería Universidad de Antioquia, 131-141, 2016 | 2 | 2016 |
| Spectral dynamic scenes reconstruction based in compressive sensing using optical color filters KM León, L Galvis, H Arguello Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards …, 2016 | 2 | 2016 |
| Estimation of mechanical properties of rock using artificial intelligence LV Galvis, C Augusto Ochoa, H Arguello Fuentes, JM Carvajal Jiménez, ... Ingeniería y Ciencia 7 (14), 83-103, 2011 | 2 | 2011 |
| Shot-gather Reconstruction using a Deep Data Prior-based Neural Network Approach L Rodríguez-López, K León-López, P Goyes-Peñafiel, L Galvis, ... Revista UIS ingenierías 22 (3), 177-188, 2023 | 1 | 2023 |
| Seismic source recovery algorithm via internal learning in the cross-spread domain S Rivera, I Ortiz, T Gelvez-Barrera, L Galvis, H Arguello Fourth HGS/EAGE Conference on Latin America 2022 (1), 1-5, 2022 | 1 | 2022 |
| End-to-end compressive spectral classification: a deep learning approach applied to the grading of tahiti lime M Silva-Maldonado, L Galvis, H Arguello International Conference on Smart Technologies, Systems and Applications, 44-57, 2021 | 1 | 2021 |
| Spatio-spectral enhancement of single-pixel reconstruction by a fully convolutional neural network K Lozano, L Galvis, H Arguello 2020 IEEE Colombian Conference on Applications of Computational Intelligence …, 2020 | 1 | 2020 |
| Caving depth classification by feature extraction in cuttings images LV Galvis C, R Corzo Rueda, H Arguello Fuentes Earth Sciences Research Journal 18 (2), 157-163, 2014 | 1 | 2014 |
