George Barbastathis

Orcid: 0000-0002-4140-1404

According to our database1, George Barbastathis authored at least 29 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Analytical solutions for the modeling, optimization, and control of microwave-assisted freeze drying.
Comput. Chem. Eng., September, 2023

Mechanistic Modeling and Analysis of Thermal Radiation in Conventional, Microwave-assisted, and Hybrid Freeze Drying for Biopharmaceutical Manufacturing.
CoRR, 2023

On the use of deep learning for phase recovery.
CoRR, 2023

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits.
CoRR, 2023

The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage.
CoRR, 2023

Thermal imaging-based state estimation of a Stefan problem with application to cell thawing.
Comput. Chem. Eng., 2023

2022
Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time.
CoRR, 2022

Noise-resilient approach for deep tomographic imaging.
CoRR, 2022

AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding Biomechanical Testing.
CoRR, 2022

Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis.
CoRR, 2022

Physics-assisted Generative Adversarial Network for X-Ray Tomography.
CoRR, 2022

Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography.
Proceedings of the Machine Learning for Scientific Imaging 2022, 2022

2020
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread.
Patterns, 2020

Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning.
CoRR, 2020

On the interplay between physical and content priors in deep learning for computational imaging.
CoRR, 2020

2019
Learning to Synthesize: Robust Phase Retrieval at Low Photon counts.
CoRR, 2019

2018
Coherence Retrieval Using Trace Regularization.
SIAM J. Imaging Sci., 2018

Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery.
CoRR, 2018

2017
Lensless computational imaging through deep learning.
CoRR, 2017

2011
Design and characterization of liquid crystal polymer membrane MEMS sensors for underwater sensing applications: A biomimetic of lateral-line fish sensing.
Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, 2011

2009
Augmenting Light Field to model Wave Optics effects
CoRR, 2009

2004
Novel Diffractive Optical Elements and Algorithms for Real-Time 3D and Hyperspectral Imaging.
Proceedings of the 2nd International Symposium on 3D Data Processing, 2004

2003
Resonant holography.
Inf. Sci., 2003

MEMS tunable gratings with analog actuation.
Inf. Sci., 2003

2001
Real-time hyperspectral imaging with volume holographic optical elements.
Proceedings of the 2001 International Conference on Image Processing, 2001

1999
Multidimensional tomographic imaging using volume holography.
Proc. IEEE, 1999

1998
3-D measurements using conoscopy and application to ophthalmology.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
Book Review: "Impossible Minds", by Igor Aleksander.
Int. J. Neural Syst., 1997

1996
Holographic 3D disks.
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996


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