Leveraging Model- and Data-Driven Methods in Medical Imaging
Videos from BIRS Workshop
Thomas Pock, Graz University of Technology
Monday Jun 26, 2023 11:30 - 12:15
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging
Matteo Santacesaria, University of Genoa
Monday Jun 26, 2023 14:15 - 15:00
Continuous generative neural networks for inverse problems
Allan Greenleaf, University of Rochester
Monday Jun 26, 2023 15:00 - 15:45
A Cubic Correction in EIT Imaging
Filippo De Mari, University of Genoa
Monday Jun 26, 2023 16:15 - 17:00
Unitarization of the Radon transform
Giovanni S. Alberti, University of Genoa
Tuesday Jun 27, 2023 09:30 - 10:15
Compressed sensing for the sparse Radon transform
Jurgen Frikel, OTH Regensburg
Tuesday Jun 27, 2023 10:15 - 11:00
Modelling data incompleteness in tomography
Maximilian Kiss, CWI
Tuesday Jun 27, 2023 11:30 - 12:00
Using the 2DeteCT data collection as training data for data-driven methods in medical imaging
Tim Roith, Friedrich-Alexander-Universität Erlangen-Nürnberg
Tuesday Jun 27, 2023 12:00 - 12:30
Bregman Iterations for sparse neural networks and architecture search
Luca Ratti, University of Genoa
Tuesday Jun 27, 2023 14:15 - 15:00
Learned variational regularization for linear inverse problems
Tan Bui-Thanh, The University of Texas at Austin
Tuesday Jun 27, 2023 15:00 - 15:45
Towards real-time solutions for inverse and imaging problems with uncertainty quantification
Carlos Esteve-Yagüe, University of Cambridge
Tuesday Jun 27, 2023 16:15 - 17:00
Spectral decomposition of atomic structures in heterogeneous cryo-EM
Sören Dittmer, University of Bremen
Wednesday Jun 28, 2023 10:15 - 11:00
Reinterpreting survival analysis in the universal approximator age
Johannes Hertrich, TU Berlin
Wednesday Jun 28, 2023 11:30 - 12:00
The Power of Patches for Training Normalizing Flows
Yolanne Lee, University College London
Wednesday Jun 28, 2023 12:00 - 12:30
Generalizing PINNs to Complex Geometries
Andreas Mang, University of Houston
Thursday Jun 29, 2023 09:30 - 10:15
Shape Classification through the Lens of Geodesic Flows of Diffeomorphisms
Jeff Fessler, University of Michigan
Thursday Jun 29, 2023 10:15 - 11:00
Dynamic MRI Reconstruction with Locally Low-Rank Regularizers
Rashmi Murthy, University of Cambridge
Thursday Jun 29, 2023 11:30 - 12:15
Combing deep learning with the Electrical Impedance Tomography to classify stroke
Clarice Poon, University of Bath
Thursday Jun 29, 2023 14:15 - 15:00
Smooth over-parametrized solvers for non-smooth structured optimisation
Andrea Aspri, University of Milan
Friday Jun 30, 2023 09:30 - 10:15
Data driven regularization by projection
