Partners
CIL is organized by MaLGa with the local support of the University of Genova and the department DIBRIS. The course is made possible by the MALIN Project, funded by a Starting ERC Grant. The event is labelled by the UMI group on “Mathematics, Imaging, Vision and their Applications” (MIVA).
At a glance
The course introduces the mathematical and computational foundations of computational imaging, focusing on the modeling, formulation, and solution of inverse problems arising in modern imaging systems.
The school introduces the mathematical and computational foundations of computational imaging, emphasizing the modeling, formulation, and solution of inverse problems in modern imaging systems. It begins with physical models of image acquisition in contexts such as microscopy and tomography, which are discretized into ill-posed inverse problems. To address these, the course explores regularization and Bayesian methods like maximum a posteriori (MAP) estimation. Optimization techniques for image reconstruction, including gradient-based and proximal algorithms, are then presented. The course concludes with data-driven and learning-based methods that integrate with model-based approaches to enhance performance and interpretability. Applications include super-resolution microscopy, tomographic reconstruction, and medical imaging.
Courses span five days, with lectures held in the mornings and afternoons, except on Wednesday, which includes presentations given by the attendees and some invited seminar. Attendance is required and will be registered before each session. Students will have the chance to take a final exam (modalities TBC). Students will receive an attendance certificate indicating the number of hours they attended, provided that it is no less than 80% of the total course hours. The school will take place exclusively in person, it will not be streamed online nor recorded. Please note that there is no scholarship available to cover travel and accommodation costs.
The course covers theoretical and numerical aspects on the topic, it is targeted to students with solid background in applied mathematics and computer science, particularly in advanced calculus, linear algebra, numerical analysis and scientific calculus. Basic knowledge of Python is required. Lab classes will be given based on the DeepInverse library.
Logistics
The course will take place at MaLGa, hosted within the DIBRIS/DIMA building at the University of Genoa: Via Dodecaneso 35, 16146 Genoa, Italy.
The course will take place at MaLGa, hosted within the DIBRIS/DIMA building at the University of Genoa: Via Dodecaneso 35, 16146 Genoa, Italy. Indications to the classroom will be visible at the entrance. You will have access to vending machines during the breaks between classes.
We will have a 2-hour lunch break every day: although there is a bar close to the department, you are encouraged to bring your own lunch and enjoy the break with your peers. There are common areas just out of the classroom where you will be able to sit and have lunch.Students will need to arrange their own accommodation.
Speakers
Our speakers and instructors are:
Programme
Classes on theoretical and algorithmic aspects will be complemented by practical lab sessions.
Monday, February 23, 2026
Welcome
9:00-9:15
Class
9:15-11:00 - From continuous to discretised image formation models
Paul Escande
Coffee break
11:00-11:15 - Coffee break
Class
11:15-13:00 - Ill-posedness and spectral inversion methods
Emmanuel Soubies
Lunch
13:00-14:00 - Lunch break
Class
14:00-16:00 - Some exemplar real-world computational imaging problems
Luca Calatroni, Paul Escande, Emmanuel Soubies
Coffee break
16:00-16:30 - Coffee break
Tuesday, February 24, 2026
Class
9:15-11:00 - Bayesian methods: maximum likelihood, MAP and MMSE approaches.
Emmanuel Soubies
Coffee break
11:00-11:15 - Coffee break
Class
11:15-13:00 - Regularisation theory and representer theorems. Exemplar model-based regularisation methods
Paul Escande
Lunch
13:00-14:00 - Lunch break
Lab
14:00-16:00 - Regularisation approaches for ill-posed computational microscopy imaging problems
Coffee break
16:00-16:30 - Coffee break
Wednesday, February 25, 2026
Seminar
09:30-10:30
Giuseppe Vicidomini (IIT): Laser-Scanning Microscopy with SPAD Array Detectors: Computational Imaging of High Dimensional Data
Talk
10:30-11:00
Romain Seailles (ENS): End-to-end learning for single-molecule localization microscopy.
Coffee break
11:00-11:30 - Coffee break
Seminar
11:30-12:30
Romain Petit (ENS): Nonlinear inverse problems: the example of Electral Impedence Tomography.
Talk
12:30-13:00
Claudia Binda (UnInsubria): Multilevel Preconditioning Strategies for Convex Optimization Methods in Imaging
Thursday, February 26, 2026
Class
9:15-11:00 - Non-smooth optimisation, Plug & Play approaches
Luca Calatroni
Coffee break
11:00-11:15 - Coffee break
Class
11:15-13:00 - Modelling and regularisation for (limited angle) tomography imaging
Tatiana Bubba
Lunch
13:00-14:00 - Lunch break
Lab
14:00-16:00 - From classical to learned regularisation methods for computational imaging problems
Coffee break
16:00-16:30 - Coffee break
Friday, February 27, 2026
Class
9:15-11:00 - Model-aware deep learning approaches: Unrolling, Deep Equilibrium Models and implicit regularisation
Luca Calatroni, Nathan Buskulic
Coffee break
11:00-11:15 - Coffee break
Class
11:15-13:00 - Learned image reconstruction in computed tomography
Tatiana Bubba
Goodbye
13:00-13:10
How to apply
Applications will be accepted until midnight on December 20th, and notifications of acceptance will be sent by January 7th. Due to limited room capacity, the maximum number of participants will be limited to 50 participants. In case of a large number of applicants, a selection will be done based on the CV and the motivation of the applicants.
Application form (mandatory)
Registration Fees
Upon acceptance of your application, non-UniGe participants will be requested to pay a registration fee, depending on their role and affiliation. Further details on the registration procedure will be provided in early January 2026.
| role | fee |
|---|---|
| UniGe MsC/PhD students and PostDocs | waived |
| Non-UniGe students and postdocs | €50 |
| Non-UniGe professors | €100 |
| Professionals | €300 |
Organization
Only for information which is not available online, please refer to MaLGa’s Lab Manager and organizers.