Astronomy
- Michel Tallon (CRAL, France) Adaptive optics on THEMIS: closing the loop as an inverse problem
- Jalo Nousiainen (LUT, Finland) A Reinforcement Learning Approach for Adaptive Optics control
- Francisco Oyarzun (MsC ACIP-PUC) Performance of pyramid wavefront sensor under elongated laser star spots
- Sebastiaan Haffert (U of Arizona) Data-driven control of extreme adaptive optics systems
Medicine
- Haikun Qi (Shangai Tech U) Motion augmented deep learning reconstruction of highly undersampled MRI
- Camila Muñoz (King’s College London) Cardiac PET-MR motion corrected reconstruction
- Francisco Romero (EMTensor-Austria)From super-resolution of microbubbles with ultrasound to celestial objects observation. General dynamic point-source imaging with optimal transport.
- Simone Pezzuto (U. de la Svizzera Italiana) An Inverse Problem for the Identification of Cardiac Activation from the Standard EGG
- Matthias Ehrhardt (U. of Bath) Equivariant Neural Networks for Inverse Problems with applications in MRI and CT
Neuroscience
- Pamela Guevara (U. de Concepción) Methods for the study of brain connectivity based on Diffusion MRI
- Hans Zander (U. de Michigan) Image-based patient specific computational models of spinal cord stimulation
- Esteban Paduro (Postdoc ACIP) Interferential Current stimulation for the FitzHugh-Nagumo system
- Patricio Orio (U. de Valparaíso) Biophysical modeling of cholinergic neuromodulation and its effects on whole-brain network segregation
- Elena Vicari (EPFL) Biophysical models to understand and optimize ultrasound neuromodulation