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Books and Theses
- 2013
[b1]Yoann Altmann:
Nonlinear unmixing of hyperspectral images. (Démélange non-linéaire d'images hyperspectrales). National Polytechnic Institute of Toulouse, France, 2013
Journal Articles
- 2024
- [j36]Teresa Klatzer
, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis:
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling. SIAM J. Imaging Sci. 17(2): 1078-1117 (2024) - [j35]Savvas Melidonis, Matthew Holden, Yoann Altmann, Marcelo Pereyra, Konstantinos C. Zygalakis:
Empirical Bayesian Imaging With Large-Scale Push-Forward Generative Priors. IEEE Signal Process. Lett. 31: 631-635 (2024) - 2023
- [j34]Savvas Melidonis, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Konstantinos Zygalakis:
Efficient Bayesian Computation for Low-Photon Imaging Problems. SIAM J. Imaging Sci. 16(3): 1195-1234 (2023) - 2022
- [j33]Dan Yao, Steve McLaughlin, Yoann Altmann:
Patch-Based Image Restoration Using Expectation Propagation. SIAM J. Imaging Sci. 15(1): 192-227 (2022) - [j32]Zeng Li, Yoann Altmann, Jie Chen, Stephen McLaughlin, Susanto Rahardja:
Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j31]Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen:
Deep Generative Model for Spatial-Spectral Unmixing With Multiple Endmember Priors. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j30]Shuaikai Shi, Min Zhao, Lijun Zhang, Yoann Altmann, Jie Chen:
Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j29]Dan Yao, Steve McLaughlin, Yoann Altmann:
Fast Scalable Image Restoration Using Total Variation Priors and Expectation Propagation. IEEE Trans. Image Process. 31: 5762-5773 (2022) - 2021
- [j28]Ahmed Karam Eldaly, Ming Fang, Angela Di Fulvio, Steve McLaughlin, Mike E. Davies, Yoann Altmann, Yves Wiaux:
Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography. J. Imaging 7(10): 212 (2021) - [j27]Julien Lesouple, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret:
Hypersphere Fitting From Noisy Data Using an EM Algorithm. IEEE Signal Process. Lett. 28: 314-318 (2021) - [j26]Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Steve McLaughlin, Michael E. Davies:
Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences. IEEE Trans. Image Process. 30: 1716-1727 (2021) - 2020
- [j25]Joshua Rapp, Julián Tachella, Yoann Altmann, Stephen McLaughlin, Vivek K. Goyal:
Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances. IEEE Signal Process. Mag. 37(4): 62-71 (2020) - [j24]Julián Tachella, Yoann Altmann, Miguel Marquez, Henry Arguello Fuentes, Jean-Yves Tourneret, Steve McLaughlin:
Bayesian 3D Reconstruction of Subsampled Multispectral Single-Photon Lidar Signals. IEEE Trans. Computational Imaging 6: 208-220 (2020) - [j23]Quentin Legros, Sylvain Meignen, Steve McLaughlin, Yoann Altmann:
Expectation-Maximization Based Approach to 3D Reconstruction From Single-Waveform Multispectral Lidar Data. IEEE Trans. Computational Imaging 6: 1033-1043 (2020) - [j22]Yoann Altmann, Steve McLaughlin, Michael E. Davies:
Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events. IEEE Trans. Image Process. 29: 2666-2675 (2020) - 2019
- [j21]Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Paul McCool, Antonios Perperidis, Kevin Dhaliwal, Stephen McLaughlin:
Bayesian bacterial detection using irregularly sampled optical endomicroscopy images. Medical Image Anal. 57: 18-31 (2019) - [j20]Julián Tachella, Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin, Jean-Yves Tourneret:
Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data. SIAM J. Imaging Sci. 12(1): 521-550 (2019) - [j19]Sylvain Meignen, Quentin Legros, Yoann Altmann, Steve McLaughlin:
A novel algorithm for the identification of dirac impulses from filtered noisy measurements. Signal Process. 162: 268-281 (2019) - 2018
- [j18]Herwig Wendt, Sébastien Combrexelle, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry:
Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors. SIAM J. Imaging Sci. 11(2): 1294-1316 (2018) - [j17]Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Nikola Krstajic, Tushar Choudhary, Kevin Dhaliwal, Steve McLaughlin:
Deconvolution and Restoration of Optical Endomicroscopy Images. IEEE Trans. Computational Imaging 4(2): 194-205 (2018) - 2017
- [j16]Antonios Perperidis, Ahsan R. Akram, Yoann Altmann, Paul McCool, Jody Westerfeld, David Wilson, Kevin Dhaliwal, Stephen McLaughlin:
Automated Detection of Uninformative Frames in Pulmonary Optical Endomicroscopy. IEEE Trans. Biomed. Eng. 64(1): 87-98 (2017) - [j15]Yoann Altmann, Reuben Aspden, Miles J. Padgett, Steve McLaughlin:
A Bayesian Approach to Denoising of Single-Photon Binary Images. IEEE Trans. Computational Imaging 3(3): 460-471 (2017) - [j14]Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gregory E. Newstadt, Gerald S. Buller, Steve McLaughlin, Alfred O. Hero III:
Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields. IEEE Trans. Computational Imaging 3(4): 658-670 (2017) - 2016
- [j13]Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Robust Bayesian Target Detection Algorithm for Depth Imaging From Sparse Single-Photon Data. IEEE Trans. Computational Imaging 2(4): 456-467 (2016) - [j12]Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Lidar Waveform-Based Analysis of Depth Images Constructed Using Sparse Single-Photon Data. IEEE Trans. Image Process. 25(5): 1935-1946 (2016) - 2015
- [j11]Yoann Altmann, Steve McLaughlin, Alfred O. Hero III:
Robust Linear Spectral Unmixing Using Anomaly Detection. IEEE Trans. Computational Imaging 1(2): 74-85 (2015) - [j10]Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin:
Bayesian Nonlinear Hyperspectral Unmixing With Spatial Residual Component Analysis. IEEE Trans. Computational Imaging 1(3): 174-185 (2015) - [j9]Yoann Altmann, Marcelo Pereyra, José M. Bioucas-Dias:
Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing. IEEE Trans. Image Process. 24(12): 5800-5811 (2015) - [j8]Yoann Altmann, Andrew M. Wallace, Steve McLaughlin:
Spectral Unmixing of Multispectral Lidar Signals. IEEE Trans. Signal Process. 63(20): 5525-5534 (2015) - 2014
- [j7]Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin:
A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 1869-1878 (2014) - [j6]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Residual Component Analysis of Hyperspectral Images - Application to Joint Nonlinear Unmixing and Nonlinearity Detection. IEEE Trans. Image Process. 23(5): 2148-2158 (2014) - [j5]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm. IEEE Trans. Image Process. 23(6): 2663-2675 (2014) - 2013
- [j4]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model. IEEE Trans. Image Process. 22(4): 1267-1276 (2013) - [j3]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Nonlinear Spectral Unmixing of Hyperspectral Images Using Gaussian Processes. IEEE Trans. Signal Process. 61(10): 2442-2453 (2013) - 2012
- [j2]Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret:
Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery. IEEE Trans. Image Process. 21(6): 3017-3025 (2012) - 2011
- [j1]Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model. IEEE Trans. Geosci. Remote. Sens. 49(11): 4153-4162 (2011)
Conference and Workshop Papers
- 2024
- [c50]Abdullah Abdulaziz, Reka Hegedus, Fraser Macdonald, Stephen McLaughlin, Yoann Altmann:
Investigation of Spiking Neural Networks for Joint Detection and Tracking. EUSIPCO 2024: 1681-1685 - 2023
- [c49]Dongrui Shen, Dan Yao, Stephen McLaughlin, Yoann Altmann:
Probabilistic Spiking Neural Networks Training with Expectation - Propagation. CAMSAP 2023: 41-45 - [c48]Dongrui Shen, Stephen McLaughlin, Yoann Altmann:
Expectation-Propagation with Low-Rank Constraints for Linear Inverse Problems. EUSIPCO 2023: 1828-1832 - 2022
- [c47]Yoann Altmann:
On approximate Bayesian methods for large-scale sparse linear inverse problems. EUSIPCO 2022: 2191-2195 - [c46]Abdullah Abdulaziz, Jianxin Zhou, Angela Di Fulvio, Yoann Altmann, Stephen McLaughlin:
Semi-Supervised Gaussian Mixture Variational Autoencoder for Pulse Shape Discrimination. ICASSP 2022: 3538-3542 - [c45]Dan Yao, Yoann Altmann, Stephen McLaughlin:
Color Image Restoration in the Low Photon-Count Regime Using Expectation Propagation. ICIP 2022: 3126-3130 - 2021
- [c44]Julien Lesouple, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret:
Robust Hypersphere Fitting from Noisy Data Using an EM Algorithm. EUSIPCO 2021: 1-5 - [c43]Abdullah Abdulaziz, Dan Yao, Yoann Altmann, Steve McLaughlin:
Blind deconvolution of images corrupted by Gaussian noise using Expectation Propagation. EUSIPCO 2021: 1970-1974 - [c42]Charles Saunders, William Krska, Julián Tachella, Sheila W. Seidel, Joshua Rapp, John Murray-Bruce, Yoann Altmann, Steve McLaughlin, Vivek K. Goyal:
Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations. ICIP 2021: 2858-2862 - 2020
- [c41]Quentin Legros, Steve McLaughlin, Yoann Altmann, Sylvain Meignen:
Stochastic EM algorithm for fast analysis of single waveform multi-spectral Lidar data. EUSIPCO 2020: 2413-2417 - [c40]Dan Yao, Yoann Altmann, Steve McLaughlin, Mike E. Davies:
Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation. EUSIPCO 2020: 2463-2467 - [c39]Zeng Li, Yoann Altmann, Jie Chen, Steve McLaughlin, Susanto Rahardja:
Sparse Spectral Unmixing of Hyperspectral Images using Expectation-Propagation. VCIP 2020: 197-200 - 2019
- [c38]Julián Tachella, Yoann Altmann, Stephen McLaughlin, Jean-Yves Tourneret:
Real-Time 3D Color Imaging with Single-Photon Lidar Data. CAMSAP 2019: 206-210 - [c37]Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret:
Fast Surface Detection in Single-Photon Lidar Waveforms. EUSIPCO 2019: 1-5 - [c36]Yoann Altmann, Alessandro Perelli, Mike E. Davies:
Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing. ICASSP 2019: 5067-5071 - [c35]Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret:
3D Reconstruction Using Single-photon Lidar Data Exploiting the Widths of the Returns. ICASSP 2019: 7815-7819 - [c34]Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, Steve McLaughlin:
Patch-Based Sparse Representation For Bacterial Detection. ISBI 2019: 657-661 - 2018
- [c33]Julián Tachella, Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin, Jean-Yves Tourneret:
Bayesian Restoration of High-Dimensional Photon-Starved Images. EUSIPCO 2018: 747-751 - [c32]Yoann Altmann, Steve McLaughlin:
Range Estimation from Single-Photon Lidar Data Using a Stochastic Em Approach. EUSIPCO 2018: 1112-1116 - [c31]Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann:
Anomaly Detection with High Resolution Hyperspectral Observations. GlobalSIP 2018: 963-967 - [c30]Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Steve McLaughlin:
Deconvolution of Irregularly Subsampled Images. SSP 2018: 303-307 - 2017
- [c29]Yoann Altmann, Steve McLaughlin, Miles J. Padgett:
Unsupervised restoration of subsampled images constructed from geometric and binomial data. CAMSAP 2017: 1-5 - [c28]Abderrahim Halimi, Peter Connolly, Ximing Ren, Yoann Altmann, István Gyöngy, Robert K. Henderson, Stephen McLaughlin, Gerald S. Buller:
Restoration of depth and intensity images using a graph laplacian regularization. CAMSAP 2017: 1-5 - [c27]Yoann Altmann, Rachael Tobin, Aurora Maccarone, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral Lidar data. EUSIPCO 2017: 1410-1414 - 2016
- [c26]Abderrahim Halimi, Yoann Altmann, Aongus McCarthy, Ximing Ren, Rachael Tobin, Gerald S. Buller, Steve McLaughlin:
Restoration of intensity and depth images constructed using sparse single-photon data. EUSIPCO 2016: 86-90 - [c25]Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Joint spectral clustering and range estimation for 3D scene reconstruction using multispectral lidar waveforms. EUSIPCO 2016: 513-517 - [c24]Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Patrice Abry:
Bayesian estimation for the local assessment of the multifractality parameter of multivariate time series. EUSIPCO 2016: 1518-1522 - [c23]Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Target detection for depth imaging using sparse single-photon data. ICASSP 2016: 3256-3260 - [c22]Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry:
A Bayesian framework for the multifractal analysis of images using data augmentation and a whittle approximation. ICASSP 2016: 4224-4228 - [c21]Sébastien Combrexelle, Herwig Wendt, Yoann Altmann, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry:
Bayesian joint estimation of the multifractality parameter of image patches using gamma Markov Random Field priors. ICIP 2016: 4468-4472 - [c20]Sébastien Combrexelle, Herwig Wendt, Jean-Yves Tourneret, Yoann Altmann, Steve McLaughlin, Patrice Abry:
A Bayesian approach for the multifractal analysis of spatio-temporal data. IWSSIP 2016: 1-4 - [c19]Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin:
Joint range estimation and spectral classification for 3D scene reconstruction using multispectral Lidar waveforms. SSP 2016: 1-5 - [c18]Paul McCool, Yoann Altmann, Antonios Perperidis, Steve McLaughlin:
Robust Markov Random Field outlier detection and removal in subsampled images. SSP 2016: 1-5 - [c17]Yoann Altmann, Aurora Maccarone, Aongus McCarthy, Gregory E. Newstadt, Gerald S. Buller, Stephen McLaughlin, Alfred O. Hero III:
Robust spectral unmixing of multispectral Lidar waveforms. WHISPERS 2016: 1-5 - 2015
- [c16]Yoann Altmann, Marcelo Pereyra, Steve McLaughlin:
Nonlinear spectral unmixing using residual component analysis and a Gamma Markov random field. CAMSAP 2015: 165-168 - [c15]Yoann Altmann, Steve McLaughlin, Alfred O. Hero III:
Robust linear spectral unmixing using outlier detection. ICASSP 2015: 2464-2468 - [c14]Yoann Altmann, Marcelo Pereyra, José M. Bioucas-Dias:
Linear spectral unmixing using collaborative sparse regression and correlated supports. WHISPERS 2015: 1-4 - 2014
- [c13]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection. ICASSP 2014: 3166-3170 - [c12]Yoann Altmann, Steve McLaughlin, Nicolas Dobigeon:
Sampling from a multivariate Gaussian distribution truncated on a simplex: A review. SSP 2014: 113-116 - [c11]Nicolas Dobigeon, Laurent Tits, Ben Somers, Yoann Altmann, Pol Coppin:
Nonlinear unmixing of vegetated areas: A model comparison based on simulated and real hyperspectral data. WHISPERS 2014: 1-4 - 2013
- [c10]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Bayesian unsupervised unmixing of hyperspectral images using a post-nonlinear model. EUSIPCO 2013: 1-5 - [c9]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, José Carlos M. Bermudez:
A robust test for nonlinear mixture detection in hyperspectral images. ICASSP 2013: 2149-2153 - [c8]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin:
Nonlinear hyperspectral unmixing using Gaussian processes. WHISPERS 2013: 1-4 - 2012
- [c7]Yoann Altmann, Nicolas Dobigeon, Steve McLaughlin, Jean-Yves Tourneret:
Unsupervised nonlinear unmixing of hyperspectral images using Gaussian processes. ICASSP 2012: 1249-1252 - [c6]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Detecting nonlinear mixtures in hyperspectral images. WHISPERS 2012: 1-4 - 2011
- [c5]Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret:
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery. ICASSP 2011: 1009-1012 - [c4]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin:
Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares. IGARSS 2011: 1151-1154 - [c3]Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret:
A post nonlinear mixing model for hyperspectral images unmixing. IGARSS 2011: 1882-1885 - [c2]Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Unmixing hyperspectral images using the generalized bilinear model. IGARSS 2011: 1886-1889 - [c1]Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret:
Bilinear models for nonlinear unmixing of hyperspectral images. WHISPERS 2011: 1-4
Informal and Other Publications
- 2023
- [i9]Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen:
Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency. CoRR abs/2307.03413 (2023) - [i8]Teresa Klatzer, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis:
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling. CoRR abs/2308.09460 (2023) - 2021
- [i7]Dan Yao, Stephen McLaughlin, Yoann Altmann:
Patch-Based Image Restoration using Expectation Propagation. CoRR abs/2106.15327 (2021) - [i6]Dan Yao, Stephen McLaughlin, Yoann Altmann:
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation. CoRR abs/2110.01585 (2021) - 2020
- [i5]Joshua Rapp, Charles Saunders, Julián Tachella, John Murray-Bruce, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Robin M. A. Dawson, Franco N. C. Wong, Vivek K. Goyal:
Seeing Around Corners with Edge-Resolved Transient Imaging. CoRR abs/2002.07118 (2020) - [i4]Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies:
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences. CoRR abs/2004.09211 (2020) - [i3]K. Craigie, E. M. Gauger, Yoann Altmann, Cristian Bonato:
Resource-efficient adaptive Bayesian tracking of magnetic fields with a quantum sensor. CoRR abs/2008.08891 (2020) - 2018
- [i2]Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, Steve McLaughlin:
Patch-based Sparse Representation For Bacterial Detection. CoRR abs/1810.12043 (2018) - 2017
- [i1]Ahmed Karam Eldaly, Yoann Altmann, Antonios Perperidis, Nikola Krstajic, Tushar Choudhary, Kevin Dhaliwal, Stephen McLaughlin:
Deconvolution and Restoration of Optical Endomicroscopy Images. CoRR abs/1701.08107 (2017)
Coauthor Index
[j33] [j32] [j29] [j28] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j8] [j6] [j3] [c49] [c48] [c46] [c45] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [c32] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c13] [c12] [c8] [c7] [c4] [i7] [i6] [i5] [i4] [i2] [i1]
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