Scheduled presentations:

• Combining supervised and nonlinear compressed sensing for Electrical Impedance Tomography
  D. Lazzaro (University of Bologna), S. Morigi (University of Bologna), *L. Ratti (University of Bologna)
• Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction
  T. Bubba (University of Ferrara), *M. Santacesaria (MaLGa Center, University of Genoa), A. Sebastiani (University of Modena and Reggio Emilia)
• Ensuring Model Consistency in Inverse Problems: Application to Industrial Aluminium Quenching
  *F. Pachnek (AMAG rolling GmbH), P. Simon (AMAG rolling GmbH), A. Nemetz (Johannes Kepler University Linz), K. Zeman (Johannes Kepler University Linz)
• Identifying Early Tumour States in a Cahn-Hilliard-reaction-diffusion Model
  A. Agosti (University of Pavia), E. Beretta (New York University Abu Dhabi), C. Cavaterra (University of Milan), *M. Fornoni (University of Pavia), E. Rocca (University of Pavia)
• Reconstructing the Early States of Prostate Cancer Growth
  E. Beretta (New York University Abu Dhabi), C. Cavaterra (University of Milan), M. Fornoni (University of Pavia), *G. Lorenzo (University of A Coruna), E. Rocca (University of Pavia)
• A diffusion-driven growth model using a phase-field approach for simulation of brain tumor
  *M. Soleimani (Institut für Kontinuumsmechanik), M. Esmaeilzadeh (Department of Neurosurgery, Bethel Clinic), P. Junker (Institut für Kontinuumsmechanik)