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20192026
most citedTomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks

151 citations · 219 across the 24 of their papers we have counts for

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eess.IV2025

Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance

Refik Mert Cam, Junjing Deng, Rajkumar Kettimuthu +2

Ptychography is a data-intensive computational imaging technique that achieves high spatial resolution over large fields of view. The technique involves scanning a coherent beam ac…

eess.IV2024

Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification

Canberk Ekmekci, Tekin Bicer, Zichao Wendy Di +2

Ptychography is a scanning coherent diffractive imaging technique that enables imaging nanometer-scale features in extended samples. One main challenge is that widely used iterativ…

eess.IV2024

Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiography

Songyuan Tang, Tekin Bicer, Tao Sun +2

Full-field ultra-high-speed (UHS) x-ray imaging experiments have been well established to characterize various processes and phenomena. However, the potential of UHS experiments th…

eess.IV2024★ 1 cited

FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting

Jiaze E, Srutarshi Banerjee, Tekin Bicer +3

Computed tomography (CT) is widely used in scientific imaging systems such as synchrotron and laboratory-based nano-CT, but acquiring full-view sinograms requires high radiation do…

eess.IV2020★ 1 cited

Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements

Ziling Wu, Tekin Bicer, Zhengchun Liu +3

Synchrotron-based X-ray computed tomography is widely used for investigating inner structures of specimens at high spatial resolutions. However, potential beam damage to samples of…

eess.IV2020★ 1 cited

Joint ptycho-tomography with deep generative priors

Selin Aslan, Zhengchun Liu, Viktor Nikitin +3

Joint ptycho-tomography is a powerful computational imaging framework to recover the refractive properties of a 3D object while relaxing the requirements for probe overlap that is…

eess.IV2019★ 3 cited

Deep Learning Accelerated Light Source Experiments

Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu +1

Experimental protocols at synchrotron light sources typically process and validate data only after an experiment has completed, which can lead to undetected errors and cannot enabl…