Bayesian inversion for tomography through machine learning
Bayesian inversion for tomography through machine learning. - Öktem - Workshop 3 - CEB T1 2019
Jack Hale: A Bayesian inversion approach to recovering material parameters
Bayesian Elastic Full-Waveform Inversion using Hamiltonian Monte Carlo
Bayesian tomography using Hamiltonian Monte Carlo
Bayesian imaging with uncertainty analysis, focusing on machine learning methods.
Yixing Huang - Compressed Sensing and Machine Learning for Limited Angle Tomography
Practical Bayesian tomography
Dr. Kody Law | The Bayesian Approach to Inverse Problems and Data Assimilation
Prof. Thomas Blumensath | Machine learning tools for large tomographic inverse problems with...
Bayesian tomographic reconstruction using Riemannian MCMC
Score-Based Diffusion Models as Bayesian Priors for Computational Imaging (ICCP 2023)
Umair bin Waheed: Seismic traveltime modeling and inversion using physics-informed neural networks
How to solve Computed Tomography reconstruction with Neural Networks - Sebastian Lunz
Youssef Marzouk: Computational challenges in Bayesian inversion
Dr. Rehman Ali | Frequency-Domain Waveform Inversion for Ultrasound Tomography
Samuel Grauer: Incorporating Lineshape Data into Bayesian Hyperspectral Absorption Tomography
Beyond the Patterns 17 - Emil Sidky - Inverse problems in imaging and evidence for solution by CNNs
WOMBAT: A fully Bayesian global flux-inversion framework
Evolutionary Full-waveform Inversion using adaptive mini-batches
