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.

BIPP: An efficient HPC implementation of the Bluebild algorithm for radio astronomy

E. Tolley; S. Frasch; E. Orliac; S. Krishna; M. Bianco et al. 

Astronomy and Computing. 2025. Vol. 51, p. 100920. DOI : 10.1016/j.ascom.2024.100920.

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.

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.

Generalized Ray Tracing with Basis Functions for Tomographic Projections

Y. Haouchat; S. Kashani; P. Thévenaz; M. Unser 

IEEE Transactions on Computational Imaging. 2025.  p. 1 – 13. DOI : 10.1109/tci.2025.3611590.

Computational Imaging: a Multi-Facet Perspective

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

Lausanne, EPFL, 2025. 

Robust, Generalizable, and Reproducible Computational Imaging: A Lensless Perspective

E. Bezzam / M. Vetterli (Dir.)  

Lausanne, EPFL, 2025. 

Towards Visually-Plausible and Controllable 3D Representations

D. Wang / S. Süsstrunk (Dir.)  

Lausanne, EPFL, 2025. 

To Grid or Not To Grid: Atomic Methods for Sparse Inverse Problems

A. T. E. Jarret / M. Vetterli (Dir.)  

Lausanne, EPFL, 2025. 

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.

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.

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.

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.

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.

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.

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.

Divergent X-ray tomography reconstruction and optimisation

Y. Haouchat 

2023.

Learning-based techniques for lensless reconstruction

Y. Perron 

2023.