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Javier Mateos
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2020 – today
- 2024
- [j31]Miguel López-Pérez, Alba Morquecho, Arne Schmidt, Fernando Pérez-Bueno, Aurelio Martín-Castro, Javier Mateos, Rafael Molina:
The CrowdGleason dataset: Learning the Gleason grade from crowds and experts. Comput. Methods Programs Biomed. 257: 108472 (2024) - [c46]Francisco M. Castro-Macías
, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior. ISBI 2024: 1-5 - 2023
- [j30]Rocío del Amor
Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset. Artif. Intell. Medicine 145: 102686 (2023) - [j29]Santiago López-Tapia, Javier Mateos
Learning Moore-Penrose based residuals for robust non-blind image deconvolution. Digit. Signal Process. 142: 104193 (2023) - [c45]Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse. ICIP 2023: 775-779 - [c44]Joan Lario, Javier Mateos, Raul Poler, Ángel Ortiz:
Collaborative Network for the Development of Non-Destructive Inspection Technologies: Elicitation Requirements in an Industrial Environment. PRO-VE 2023: 589-605 - 2022
- [j28]Fernando Pérez-Bueno
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification. Comput. Medical Imaging Graph. 97: 102048 (2022) - [j27]Gaudencio Paz-Martínez
Temperature and Gate-Length Dependence of Subthreshold RF Detection in GaN HEMTs. Sensors 22(4): 1515 (2022) - 2020
- [j26]Fernando Pérez-Bueno
A TV-based image processing framework for blind color deconvolution and classification of histological images. Digit. Signal Process. 101: 102727 (2020) - [j25]Fernando Pérez-Bueno
Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. Sensors 20(18): 5308 (2020) - [j24]Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega
Variational Bayesian Blind Color Deconvolution of Histopathological Images. IEEE Trans. Image Process. 29: 2026-2036 (2020)
2010 – 2019
- 2019
- [j23]Juan G. Serra, Javier Mateos
Variational EM method for blur estimation using the spike-and-slab image prior. Digit. Signal Process. 88: 116-129 (2019) - [c43]Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayes Color Deconvolution with a Total Variation Prior. EUSIPCO 2019: 1-5 - 2018
- [j22]Salvador Villena, Miguel Vega
Image super-resolution for outdoor digital forensics. Usability and legal aspects. Comput. Ind. 98: 34-47 (2018) - [c42]Natalia Hidalgo-Gavira, Javier Mateos
Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach. ICIP 2018: 983-987 - [c41]Natalia Hidalgo-Gavira, Javier Mateos
Fully Automated Blind Color Deconvolution of Histopathological Images. MICCAI (2) 2018: 183-191 - 2017
- [c40]Juan G. Serra, Javier Mateos
Parameter estimation in spike and slab variational inference for blind image deconvolution. EUSIPCO 2017: 1495-1499 - [c39]Juan G. Serra, Javier Mateos
Spike and slab variational inference for blind image deconvolution. ICIP 2017: 3765-3769 - [c38]Poorna Marthi, Nazir Hossain, Huan Wang, Jean-François Millithaler, Martin Margala
A high performance Full Adder based on Ballistic Deflection Transistor technology. ISCAS 2017: 1-4 - 2016
- [j21]Poorna Marthi
Design and Analysis of High Performance Ballistic Nanodevice-Based Sequential Circuits Using Monte Carlo and Verilog AMS Simulations. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(12): 2236-2244 (2016) - [c37]Poorna Marthi, Sheikh Rufsan Reza, Nazir Hossain, Jean-François Millithaler, Martin Margala
Modeling and Study of Two-BDT-Nanostructure based Sequential Logic Circuits. ACM Great Lakes Symposium on VLSI 2016: 393-396 - [c36]Javier Mateos
Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation. ICIP 2016: 2678-2682 - 2015
- [j20]Pablo Ruiz
Variational Bayesian Blind Image Deconvolution: A review. Digit. Signal Process. 47: 116-127 (2015) - [j19]Xu Zhou
Variational Dirichlet Blur Kernel Estimation. IEEE Trans. Image Process. 24(12): 5127-5139 (2015) - 2014
- [j18]Pablo Ruiz
Combining Poisson singular integral and total variation prior models in image restoration. Signal Process. 103: 296-308 (2014) - [j17]Pablo Ruiz
Bayesian Active Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 52(4): 2186-2196 (2014) - [c35]Pablo Ruiz
Learning filters in Gaussian process classification problems. ICIP 2014: 2913-2917 - 2013
- [j16]Miguel Tallon, Javier Mateos
Space-variant blur deconvolution and denoising in the dual exposure problem. Inf. Fusion 14(4): 396-409 (2013) - [c34]Hiram Madero Orozco, Pablo Ruiz, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Image deblurring combining poisson singular integral and total variation prior models. EUSIPCO 2013: 1-5 - [c33]Pablo Ruiz, Javier Mateos, María C. Cárdenas, Shinichi Nakajima, Rafael Molina, Aggelos K. Katsaggelos:
Light field acquisition from blurred observations using a programmable coded aperture camera. EUSIPCO 2013: 1-5 - [p1]Pablo Ruiz
Interactive Pansharpening and Active Classification in Remote Sensing. Multimodal Interaction in Image and Video Applications 2013: 67-81 - 2012
- [c32]Miguel Tallon, S. Derin Babacan, Javier Mateos, Minh N. Do, Rafael Molina, Aggelos K. Katsaggelos:
Upsampling and denoising of depth maps via joint-segmentation. EUSIPCO 2012: 245-249 - 2011
- [j15]Israa Amro
A survey of classical methods and new trends in pansharpening of multispectral images. EURASIP J. Adv. Signal Process. 2011: 79 (2011) - [j14]Miguel Vega
Super Resolution of Multispectral Images using ℓ1 Image Models and Interband Correlations. J. Signal Process. Syst. 65(3): 509-523 (2011) - [c31]Israa Amro, Javier Mateos, Miguel Vega:
Parameter estimation in the general contourlet pansharpening method using Bayesian inference. EUSIPCO 2011: 1130-1134 - [c30]Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos:
Space-variant kernel deconvolution for dual exposure problem. EUSIPCO 2011: 1678-1682 - [c29]Miguel Vega
Bayesian TV denoising of SAR images. ICIP 2011: 165-168 - [c28]Israa Amro
Parameter estimation in Bayesian super-resolution pansharpening using contourlets. ICIP 2011: 1345-1348 - [c27]Miguel Tallon, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Image prior combination in space-variant blur deconvolution for the dual exposure problem. ISPA 2011: 408-413 - [c26]Pablo Ruiz
A Bayesian Active Learning Framework for a Two-Class Classification Problem. MUSCLE 2011: 42-53 - 2010
- [c25]Israa Amro, Javier Mateos, Miguel Vega:
General contourlet pansharpening method using Bayesian inference. EUSIPCO 2010: 294-298 - [c24]Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos:
Combining observation models in dual exposure problems using the Kullback-Leibler divergence. EUSIPCO 2010: 323-327 - [c23]Israa Amro
Bayesian super-resolution pansharpening using contourlets. ICIP 2010: 809-812
2000 – 2009
- 2009
- [j13]Miguel Vega
Super-Resolution of Multispectral Images. Comput. J. 52(1): 153-167 (2009) - [c22]Javier Mateos
Local Bayesian image restoration using variational methods and Gamma-Normal distributions. ICIP 2009: 129-132 - 2008
- [c21]Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Super Resolution of Multispectral Images Using TV Image Models. KES (3) 2008: 408-415 - 2007
- [b1]Aggelos K. Katsaggelos
Super Resolution of Images and Video. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2007, ISBN 978-3-031-01115-3 - [c20]Rafael Molina, Javier Mateos, Miguel Vega, Aggelos K. Katsaggelos:
Super resolution of multispectral images using locally adaptive models. EUSIPCO 2007: 1497-1501 - 2006
- [j12]Rafael Molina
Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation. IEEE Trans. Image Process. 15(12): 3715-3727 (2006) - [c19]Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos:
Hierarchical Bayesian super resolution reconstruction of multispectral images. EUSIPCO 2006: 1-5 - [c18]Rafael Molina
Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques. ICIP 2006: 1749-1752 - 2005
- [c17]Javier Mateos
Approximations of posterior distributions in blind deconvolution using variational methods. ICIP (2) 2005: 770-773 - 2004
- [j11]Luis D. Alvarez, Javier Mateos
High-resolution images from compressed low-resolution video: Motion estimation and observable pixels. Int. J. Imaging Syst. Technol. 14(2): 58-66 (2004) - [j10]C. Andrew Segall, Aggelos K. Katsaggelos
Bayesian resolution enhancement of compressed video. IEEE Trans. Image Process. 13(7): 898-911 (2004) - 2003
- [j9]Rafael Molina
Bayesian multichannel image restoration using compound Gauss-Markov random fields. IEEE Trans. Image Process. 12(12): 1642-1654 (2003) - [c16]Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images. IbPRIA 2003: 538-546 - [c15]Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Bayesian high resolution image reconstruction with incomplete multisensor low resolution systems. ICASSP (3) 2003: 705-708 - [c14]Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Bayesian parameter estimation in image reconstruction from subsampled blurred observations. ICIP (2) 2003: 969-972 - 2002
- [j8]Antonio López, Rafael Molina
SPECT Image Reconstruction Using Compound Prior Models. Int. J. Pattern Recognit. Artif. Intell. 16(3): 317-330 (2002) - [c13]C. Andrew Segall, Rafael Molina, Aggelos K. Katsaggelos
Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations. ICASSP 2002: 1701-1704 - [c12]Rafael Molina, Javier Mateos
A General Multichannel Image Restoration Method Using Compound Models. ICPR (3) 2002: 835-838 - 2001
- [j7]Javier Mateos
Monte Carlo simulation of electronic characteristics in short channel δ-doped AlInAs/GaInAs HEMTs. Microelectron. Reliab. 41(1): 73-77 (2001) - [j6]Rafael Molina, Jorge Núñez, Francisco J. Cortijo, Javier Mateos
Image restoration in astronomy: a Bayesian perspective. IEEE Signal Process. Mag. 18(2): 11-29 (2001) - [j5]Pavel Shiktorov, Evjeni Starikov, Viktor Gruzinskis, Tomás González, Javier Mateos, Daniel Pardo, Luca Reggiani, Luca Varani, Jean Claude Vaissière:
Langevin Forces and Generalized Transfer Fields for Noise Modelling in Deep Submicron Devices. VLSI Design 13(1-4): 85-90 (2001) - [c11]Antonio López, Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos:
SPECT image reconstruction using compound models. ICASSP 2001: 1909-1912 - [c10]Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, C. Andrew Segall:
Bayesian high-resolution reconstruction of low-resolution compressed video. ICIP (2) 2001: 25-28 - 2000
- [j4]Rafael Molina, Aggelos K. Katsaggelos
Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss?CMarkov random fields. Pattern Recognit. 33(4): 555-571 (2000) - [j3]Javier Mateos
A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts. IEEE Trans. Image Process. 9(7): 1200-1215 (2000) - [c9]Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina:
Color image restoration using compound Gauss-Markov Random Fields. EUSIPCO 2000: 1-4 - [c8]Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina:
High-resolution color image reconstruction from compressed video sequences. EUSIPCO 2000: 1-4 - [c7]Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
Multichannel image restoration using compound Gauss-Markov random fields. ICASSP 2000: 141-144 - [c6]Javier Mateos, Aggelos K. Katsaggelos
Resolution enhancement of compressed low resolution video. ICASSP 2000: 1919-1922 - [c5]Javier Mateos, Aggelos K. Katsaggelos
Simultaneous Motion Estimation and Resolution Enhancement of Compressed low Resolution Video. ICIP 2000: 653-656
1990 – 1999
- 1999
- [j2]Rafael Molina
Bayesian and regularization methods for hyperparameter estimation in image restoration. IEEE Trans. Image Process. 8(2): 231-246 (1999) - 1998
- [c4]Javier Mateos, Carlos Ilia Herráiz Montalvo, Blas C. Ruiz Jiménez, Rafael Molina, Aggelos K. Katsaggelos:
Reduction of Blocking Artifacts in Block Transformed Compressed Color Images. ICIP (1) 1998: 401-405 - 1997
- [c3]Rafael Molina, Aggelos K. Katsaggelos
Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields. EMMCVPR 1997: 117-132 - [c2]Rafael Molina, Aggelos K. Katsaggelos, Javier Abad, Javier Mateos:
A Bayesian approach to blind deconvolution based on Dirichlet distributions. ICASSP 1997: 2809-2812 - 1996
- [c1]Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Javier Abad:
Restoration of severely blurred high range images using compound models. ICIP (2) 1996: 469-472 - 1995
- [j1]Rafael Molina, Javier Mateos
Bayesian image restoration in astronomy: Application to images of the recent collision of comet shoemaker-levy 9 with jupiter. Int. J. Imaging Syst. Technol. 6(4): 370-375 (1995)
Coauthor Index
[c46] [j29] [c45] [j28] [j26] [j25] [j24] [j23] [c43] [j22] [c42] [c41] [c40] [c39] [c36] [j20] [j19] [j18] [j17] [c35] [j16] [c34] [c33] [p1] [c32] [j15] [j14] [c30] [c29] [c27] [c26] [c24] [j13] [c22] [c21] [b1] [c20] [j12] [c19] [c18] [c17] [j11] [j10] [j9] [c16] [c15] [c14] [j8] [c13] [c12] [c11] [c10] [j4] [j3] [c9] [c8] [c7] [c6] [c5] [j2] [c4] [c3] [c2] [c1]
[j31] [c46] [j30] [j29] [c45] [j28] [j26] [j25] [j24] [j23] [c43] [j22] [c42] [c41] [c40] [c39] [c36] [j20] [j19] [j18] [j17] [c35] [j16] [c34] [c33] [p1] [c32] [j15] [j14] [c30] [c29] [c27] [c26] [c24] [j13] [c22] [c21] [b1] [c20] [j12] [c19] [c18] [c17] [j11] [j10] [j9] [c16] [c15] [c14] [j8] [c13] [c12] [j6] [c11] [c10] [j4] [j3] [c9] [c8] [c7] [c6] [c5] [j2] [c4] [c3] [c2] [c1] [j1]
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last updated on 2024-12-10 20:48 CET by the dblp team
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