WS-1.4
Self-supervised Deep Convolutional Reconstruction for Low-light X-ray Fluorescence Ghost Imaging
Nicola Viganò, CEA, France; Dmitry Karpov, Université Grenoble Alpes, France; Kees Joost Batenburg, Leiden University, Netherlands; Sharon Shwartz, Bar-Ilan University, Israel
Session:
WS-1: Robust computational imaging algorithms for inverse problems with coherent X-rays (IPCX) Oral
Track:
Satellite Workshops
Location:
Room 111
Presentation Time:
Mon, 4 May, 09:00 - 18:00
Presentation
Discussion
Resources
No resources available.
Session WS-1
WS-1.1: X-Ray Near-Field Holotomography Reconstruction using Implicit Neural Representations
Johannes Gruen, Sebastian Eberle, Deutsches Elektronen Synchroton, Germany; Imke Greving, Silja Flenner, Helmholtz-Center Hereon, Germany; Martin Burger, Christian G. Schroer, Johannes Hagemann, Deutsches Elektronen Synchroton, Germany
WS-1.2: Optimizing the Iterative Reprojection Phase Retrieval Algorithm via Angle Sampling
Daniel Hernández Durán, Hamburg University of Technology / Deutsches Elektronen-Synchrotron (DESY), Germany; Johannes Dora, Johannes Hagemann, Deutsches Elektronen-Synchrotron (DESY), Germany; Christian G. Schroer, Deutsches Elektronen-Synchrotron (DESY) / University of Hamburg (UHH), Germany; Tobias Knopp, Hamburg University of Technology / University Medical Center Hamburg-Eppendorf, Germany
WS-1.3: Sparsity-based learning enables absorption contrast of mixed-contrast objects in tomographic X-ray near-field holography
Johannes Dora, Deutsches Elektronen-Synchrotron, Germany; Christian G. Schroer, Universität Hamburg, Germany; Johannes Hagemann, Deutsches Elektronen-Synchrotron, Germany
WS-1.4: Self-supervised Deep Convolutional Reconstruction for Low-light X-ray Fluorescence Ghost Imaging
Nicola Viganò, CEA, France; Dmitry Karpov, Université Grenoble Alpes, France; Kees Joost Batenburg, Leiden University, Netherlands; Sharon Shwartz, Bar-Ilan University, Israel
WS-1.5: Regularizing INR with Diffusion Prior for Self-Supervised 3D Reconstruction of Neutron Computed Tomography Data
Maliha Hossain, Haley Duba-Sullivan, Amirkoushyar Ziabari, Oak Ridge National Laboratory, United States of America
Contacts