Recent Publications

Let There Be Light: Robust Lensless Imaging Under External Illumination With Deep Learning

E. Bezzam; S. Peters; M. Vetterli 

2025. ICASSP 2025 – 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025-04-06 – 2025-04-11. p. 1 – 5. DOI : 10.1109/icassp49660.2025.10888030.

PolyCLEAN: Atomic optimization for super-resolution imaging and uncertainty estimation in radio interferometry

A. Jarret; S. Kashani; J. Rue-Queralt; P. Hurley; J. Fageot et al. 

ASTRONOMY & ASTROPHYSICS. 2025. Vol. 693. DOI : 10.1051/0004-6361/202450970.

Computational Imaging: a Multi-Facet Perspective

S. Kashani / M. Vetterli; P. Hurley (Dir.)  

Lausanne, EPFL, 2025. 

Towards Robust and Generalizable Lensless Imaging With Modular Learned Reconstruction

E. Bezzam; Y. Perron; M. Vetterli 

IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING. 2025. Vol. 11, p. 213 – 227. DOI : 10.1109/TCI.2025.3539448.

PolyCLEAN: When Högbom meets Bayes ⋆ Fast Super-Resolution Imaging with Bayesian MAP Estimation

A. Jarret; S. Kashani; J. Rue Queralt; P. Hurley; J. R. P. Fageot et al. 

Astronomy & Astrophysics. 2024. 

Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction

S. Bors; D. Abler; M. Dietz; V. Andrearczyk; J. Fageot et al. 

Scientific Reports. 2024. Vol. 14, num. 1, p. 9644. DOI : 10.1038/s41598-024-60095-6.

Multivariate Hawkes Processes for Sparse Estimation of Neural Networks Intensities

B. El Rawas 

2024.

A Modular and Robust Physics-Based Approach for Lensless Image Reconstruction

Y. Perron; E. Bezzam; M. Vetterli 

2024. 2024 International Conference on Image Processing, Abu Dhabi, United Arab Emirates, 2024-10-27 – 2024-10-30. p. 3979 – 3985. DOI : 10.1109/ICIP51287.2024.10647433.

Synthetic data (Part 2) for “HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields”

H. Qi; C. Zhao; M. Salzmann; A. Mathis 

2024.

Generalizing Learning-Based Lensless Image Reconstruction to Mask Pattern Changes

E. Bezzam; M. Vetterli 

2024. Computational Optical Sensing and Imaging, Toulouse, France, 2024-07-15 – 2024-07-19. DOI : 10.1364/COSI.2024.CF1A.3.

Hardware-in-the-loop training for lensless imaging with a programmable mask

E. Bezzam; M. Vetterli 

2024. Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, San Francisco, United States, 2024-01-27 – 2024-01-29. DOI : 10.1117/12.3021868.

Synthetic data (Part 1) for “HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields”

H. Qi; C. Zhao; M. Salzmann; A. Mathis 

2024.

A Decoupled Approach for Composite Sparse-plus-Smooth Penalized Optimization

A. Jarret; V. Costa; J. R. P. Fageot 

2024. 32nd European Signal Processing Conference, Lyon, France, 2024-08-26 – 2024-08-30.

Divergent X-ray tomography reconstruction and optimisation

Y. Haouchat 

2023.

Learning-based techniques for lensless reconstruction

Y. Perron 

2023.

Lippmann Photography: Past, Present, and Future

A. Latty; A. Hoffet; N. Isaac; P. Prandoni 

2023

Reconstructing lensless image with ML models and deploying them onto embedded systems

J. P. Reymond 

2023.

Reconstruction of High Dynamic Range Images with Iterative Reweighting Scheme

T. Ecabert 

2023.

In Liquido Computation with Electrochemical Transistors and Mixed Conductors for Intelligent Bioelectronics

M. Cucchi; D. Parker; E. Stavrinidou; P. Gkoupidenis; H. Kleemann 

Advanced Materials. 2023. DOI : 10.1002/adma.202209516.

Reconstruction of Sparse Signals with a Variational Approach: a Numerical Comparison of LASSO Solvers

M. Sauser 

2023.