TomoGAN: low-dose synchrotron x-ray tomography with generative adversarial networks: discussion

Z Liu, T Bicer, R Kettimuthu, D Gursoy, F De Carlo… - JOSA A, 2020 - opg.optica.org
Synchrotron-based x-ray tomography is a noninvasive imaging technique that allows for
reconstructing the internal structure of materials at high spatial resolutions from tens of …

MBIR: A cryo-ET 3D reconstruction method that effectively minimizes missing wedge artifacts and restores missing information

R Yan, SV Venkatakrishnan, J Liu, CA Bouman… - Journal of structural …, 2019 - Elsevier
Abstract Cryo-Electron Tomography (cryo-ET) has become an essential technique in
revealing cellular and macromolecular assembly structures in their native states. However …

MemXCT: Memory-centric X-ray CT reconstruction with massive parallelization

M Hidayetoğlu, T Biçer, SG De Gonzalo, B Ren… - Proceedings of the …, 2019 - dl.acm.org
X-ray computed tomography (XCT) is used regularly at synchrotron light sources to study the
internal morphology of materials at high resolution. However, experimental constraints, such …

MemXCT: design, optimization, scaling, and reproducibility of x-ray tomography imaging

M Hidayetoğlu, T Biçer, SG de Gonzalo… - … on Parallel and …, 2021 - ieeexplore.ieee.org
This work extends our previous research entitled “MemXCT: Memory-centric X-ray CT
Reconstruction with Massive Parallelization” that was originally published at SC19 …

Distributed iterative CT reconstruction using multi-agent consensus equilibrium

V Sridhar, X Wang, GT Buzzard… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Model-Based Image Reconstruction (MBIR) methods significantly enhance the quality of
computed tomographic (CT) reconstructions relative to analytical techniques, but are limited …

Morphology of Copper Nanofoams for Radiation Hydrodynamics and Fusion Applications Investigated by 3D Ptychotomography

A Carr, Y Sechrest, K Mertes, BM Patterson… - Nano Letters, 2024 - ACS Publications
The performance of metal and polymer foams used in inertial confinement fusion (ICF),
inertial fusion energy (IFE), and high-energy-density (HED) experiments is currently limited …

Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches

SV Venkatakrishnan, KA Mohan… - IEEE Signal …, 2021 - ieeexplore.ieee.org
Multiscale 3D characterization is widely used by materials scientists to further their
understanding of the relationships between microscopic structure and macroscopic function …

AI-assisted automated workflow for real-time X-ray ptychography data analysis via federated resources

AV Babu, T Bicer, S Kandel, T Zhou, DJ Ching… - arXiv preprint arXiv …, 2023 - arxiv.org
We present an end-to-end automated workflow that uses large-scale remote compute
resources and an embedded GPU platform at the edge to enable AI/ML-accelerated real …

Scalable FBP decomposition for cone-beam CT reconstruction

P Chen, M Wahib, X Wang, T Hirofuchi… - Proceedings of the …, 2021 - dl.acm.org
Filtered Back-Projection (FBP) is a fundamental compute intense algorithm used in
tomographic image reconstruction. Cone-Beam Computed Tomography (CBCT) devices …

Application of amodal segmentation for shape reconstruction and occlusion recovery in occluded tomatoes

J Yang, H Deng, Y Zhang, Y Zhou, T Miao - Frontiers in Plant Science, 2024 - frontiersin.org
Common object detection and image segmentation methods are unable to accurately
estimate the shape of the occluded fruit. Monitoring the growth status of shaded crops in a …