Titles and abstracts are available in the workshop booklet (to appear)

Contributed Talks

Day 1

  • Unsupervised Residual Plug-and-Play for Image Super-Resolution with Adaptation to Ultrasound
    Xuan-Hieu Le, D. Kouame, D.-H. Pham
  • Self-supervised regularized deep-learning for reconstruction in digital in-line holographic microscopy
    Félix Riedel, D. Brault, C. Fournier, T. Olivier, L. Denis
  • Kirchhoff forests for Graph Linear Algebra
    Simon Barthelmé, N. Tremblay
  • LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization
    Alessio Spagnoletti, J. Prost, A. Almansa, N. Papadakis, M. Pereyra
  • An efficient and guaranteed scheme for posterior sampling in inverse problem based on prior diffusion model
    Jean-François Giovannelli
  • Manifold-Aware Langevin Purification for Flow-based Medical Inverse Problem Solvers
    Antoine De Paepe, Y. Mellak, A. Bousse, C. Phung-Ngoc, D. Vivikis
  • Deep-learning based Plug-And-Play methods for CT reconstruction
    Idris Tatachak, L. Kabongo, N. Papadakis, X. Ripoche, S. Rit

Day 2

  • Efficient and guaranteed posterior sampling based on diffusion prior
    Théo Hanon, N. Mil-Homens Cavaco, L. Jacques
  • On the impact of the parametrization of deep convolutional neural networks on post-training quantization
    Samy Houache, J.-F. Aujol, Y. Traonmilin
  • Neural network approach for inference of nonlinear mixed effect models based on ordinary differential equations
    Zhe Li, M. Prague, R. Thiébaut, Q. Clairon
  • Incompressible neural networks with application to image denoising
    Sébastien Herbreteau, E. Meunier

Poster – Day 2 (12:15–14:30)

  • [C006] Better to denoise a weak noise, the power of conservative diffusion models
    R. Gruhlke, D. Heitz, E. Mémin, Valentin Resseguier, M. Talla
  • [C007] Modeling strategies for speech enhancement in the latent space of a neural audio codec
    Sofiene Kammoun, X. Alameda-Pineda, S. Leglaive
  • [C011] AI Models for Early Type 2 Diabetes Prediction
    Assia Kourgli, R. Kheddam
  • [C012] Comparative Evaluation of Vision Transformer Architectures for Automatic Wheat Disease Detection
    Assia Kourgli, R. Kheddam
  • [C013] MLEM as a Bregman mirror descent
    Thibaut Modrzyk, E. Bretin, V. Maxim
  • [C014] Learning noise-adaptive attention for microtubule segmentation in fluorescence microscopy images
    A. Ait Laydi, L. Cueff, M. Crespo, Y. El Mourabit, Hélène Bouvrais
  • [C016] Unrolled MAPEM for SPECT reconstruction
    Corentin Constanza, T. Kaprelian, A. Etxebeste, D. Sarrut
  • [C017] Bi-Level Optimization with Learned Preconditioning: Application to EEG Source Imaging
    Le Minh Triet Tran, S. Reynaud, M. Q. Pham, R. Fablet, A. Merlini, F. Rousseau
  • [C018] Optimization Strategies for Distance-Encoding Neural Networks: Evolutionary vs. Gradient-Based Approaches in Data-Scarce Medical Applications
    Amine Boukhari, B. Ecsedi, L. Papp, M. Hatt
  • [C019] SPECT with a Compton camera: image reconstruction challenges and deep learning perspectives
    Léo Milliat, T. Modrzyk, E. Testa, V. Maxim
  • [C020] Recent Advances in Mediated Uncoupled Learning
    Ikko Yamane
  • [C021] Anisotropy-Aware Strategy for Robust Deep Learning-Based Particle Picking in 3D Cellular Cryo-Electron Tomogram
    Mounir Messaoudi, C. Kervrann
  • [C022] A New Method to Accelerate SVM Resolution via Support Vector Identification
    Gabriel Viellefon, C. Elvira, C.Herzet
  • [C023] Safe tightness identification between ℓ0-penalized problem and its convex relaxation
    Johann Faouzi, T. Guyard, C. Elvira, C.Herzet
  • [C024] Flow Matching for Microtubule Segmentation in Noisy Microscopy Images
    Sidi Mohamed Sid'El Moctar, A. Ait Laydi, Y. El Mourabit, H. Bouvrais
  • [C025] Impact of CT Machine Parameters on the Efficacy of Hybrid-ODPS-driven Material Decomposition
    Thore Dassow, C. Vazia, A. Perelli, D. Visvikis, A. Bousse
  • [C027] A Complete Pipeline of Multi-view Photometric Stereo
    Jean Mélou, B. Brumen
  • [C029] Comparing generative models with an end-to-end approach for solving inverse problems
    Nazim Kerkech, J. Froment, C. Launay, B. Vedel, F. Vermet
  • [C030] Numerical Approximation of some Inverse Problems with Optimization Approach based on Metaheuristic Approaches
    Chakir Tajani, J. Daoudi
  • [C033] Deep Equilibrium models for hyper-parameter tuning in regularized PET reconstruction
    Alix Chazottes, E. Chouzenoux, F. Sureau, J-C. Pesquet
  • [C034] 3D CT-free PET Reconstruction using Diffusion Models
    Clémentine Phung-Ngoc, A. Bousse, A. De Paepe, T. Merlin, B. Laurent, H.-P. Dang, O. Saut, D. Visvikis
  • [C035] A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative noise
    Nicolas Goeman, P.-A. Thouvenin, P. Chainais
  • [C037] Icecream: High-Fidelity Equivariant Cryo-Electron Tomography
    V. Kishore, Valentin Debarnot, R. D. Righetto, B. D. Engel, I. Dokmanić