Holographic 3D disks. - Demetri Psaltis; George Barbastathis; Allen Pu (ICECS, 1996)

Book Review: "Impossible Minds", by Igor Aleksander. - George Barbastathis (Int. J. Neural Syst., 1997)

3-D measurements using conoscopy and application to ophthalmology. - Christophe Moser; George Barbastathis; Demetri Psaltis (EUSIPCO, 1998)

Multidimensional tomographic imaging using volume holography. - George Barbastathis; David J. Brady (Proc. IEEE, 1999)

Real-time hyperspectral imaging with volume holographic optical elements. - Wenhai Liu; Demetri Psaltis; George Barbastathis; Arnab Sinha (ICIP (2), 2001)

MEMS tunable gratings with analog actuation. - Wei-Chuan Shih; Chee Wei Wong; Yong Bae Jeon; Sang-Gook Kim; George Barbastathis (Inf. Sci., 2003)

Resonant holography. - Arnab Sinha; George Barbastathis (Inf. Sci., 2003)

Novel Diffractive Optical Elements and Algorithms for Real-Time 3D and Hyperspectral Imaging. - George Barbastathis (3DPVT, 2004)

Augmenting Light Field to model Wave Optics effects - Se Baek Oh; George Barbastathis; Ramesh Raskar (CoRR, 2009)

Design and characterization of liquid crystal polymer membrane MEMS sensors for underwater sensing applications: A biomimetic of lateral-line fish sensing. - Ajay Giri Prakash Kottapalli; Chee Wee Tan; Jianmin Miao; George Barbastathis; Michael S. Triantafyllou (ROBIO, 2011)

Lensless computational imaging through deep learning. - Ayan Sinha; Justin Lee; Shuai Li; George Barbastathis (CoRR, 2017)

Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery. - Mo Deng; Shuai Li; George Barbastathis (CoRR, 2018)

Coherence Retrieval Using Trace Regularization. - Chenglong Bao; George Barbastathis; Hui Ji; Zuowei Shen; Zhengyun Zhang (SIAM J. Imaging Sci., 2018)

Learning to Synthesize: Robust Phase Retrieval at Low Photon counts. - Mo Deng; Shuai Li; Alexandre Goy 001; Iksung Kang; George Barbastathis (CoRR, 2019)

On the interplay between physical and content priors in deep learning for computational imaging. - Mo Deng; Shuai Li; Iksung Kang; Nicholas X. Fang; George Barbastathis (CoRR, 2020)

Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning. - Iksung Kang; Alexandre Goy 001; George Barbastathis (CoRR, 2020)

A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread. - Raj Dandekar; Christopher Rackauckas; George Barbastathis (Patterns, 2020)

Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography. - Zhen Guo; Jung Ki Song; George Barbastathis; Michael E. Glinsky; Courtenay T. Vaughan; Kurt W. Larson; Bradley K. Alpert; Zachary H. Levine (Machine Learning for Scientific Imaging, 2022)

Physics-assisted Generative Adversarial Network for X-Ray Tomography. - Zhen Guo; Jung Ki Song; George Barbastathis; Michael E. Glinsky; Courtenay T. Vaughan; Kurt W. Larson; Bradley K. Alpert; Zachary H. Levine (CoRR, 2022)

Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis. - Fabian A. Braeu; Alexandre H. Thiéry; Tin Aung Tun; Aiste Kadziauskiene; George Barbastathis; Tin Aung; Michaël J. A. Girard (CoRR, 2022)

AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding Biomechanical Testing. - Fabian A. Braeu; Thanadet Chuangsuwanich; Tin Aung Tun; Alexandre H. Thiery; Tin Aung; George Barbastathis; Michaël J. A. Girard (CoRR, 2022)

Noise-resilient approach for deep tomographic imaging. - Zhen Guo; Zhiguang Liu; Qihang Zhang; George Barbastathis; Michael E. Glinsky (CoRR, 2022)

Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time. - Iksung Kang; Ziling Wu; Yi Jiang; Yudong Yao; Junjing Deng; Jeffrey Klug; Stefan Vogt; George Barbastathis (CoRR, 2022)

Thermal imaging-based state estimation of a Stefan problem with application to cell thawing. - Prakitr Srisuma; Ajinkya Pandit; Qihang Zhang; Moo Sun Hong; Janaka Gamekkanda; Fabio Fachin; Nathan Moore; Dragan Djordjevic; Michael Schwärzler; Tolutola Oyetunde; Wenlong Tang; Allan S. Myerson; et al. (Comput. Chem. Eng., 2023)

The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage. - Fabian A. Braeu; Thanadet Chuangsuwanich; Tin Aung Tun; Shamira A. Perera; Rahat Husain; Aiste Kadziauskiene; Leopold Schmetterer; Alexandre H. Thiéry; George Barbastathis; Tin Aung; Michaël J. A. Girard (CoRR, 2023)

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits. - Iksung Kang; Yi Jiang; Mirko Holler; Manuel Guizar-Sicairos; Anthony F. J. Levi; Jeffrey Klug; Stefan Vogt; George Barbastathis (CoRR, 2023)

On the use of deep learning for phase recovery. - Kaiqiang Wang; Li Song; Chutian Wang; Zhenbo Ren; Guangyuan Zhao; Jiazhen Dou; Jianglei Di; George Barbastathis; Renjie Zhou; Jianlin Zhao; Edmund Y. Lam (CoRR, 2023)

Mechanistic Modeling and Analysis of Thermal Radiation in Conventional, Microwave-assisted, and Hybrid Freeze Drying for Biopharmaceutical Manufacturing. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (CoRR, 2023)

Analytical solutions for the modeling, optimization, and control of microwave-assisted freeze drying. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (Comput. Chem. Eng., 2023)

Simulation-Based Approach for Optimal Control of a Stefan Problem. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (ACC, 2024)

Introducing the Biomechanics-Function Relationship in Glaucoma: Improved Visual Field Loss Predictions from intraocular pressure-induced Neural Tissue Strains. - Thanadet Chuangsuwanich; Monisha E. Nongpiur; Fabian A. Braeu; Tin Aung Tun; Alexandre H. Thiery; Shamira A. Perera; Ching Lin Ho; Martin Lindsay Buist; George Barbastathis; Tin Aung; Michaël J. A. Girard (CoRR, 2024)

Real-time Estimation of Bound Water Concentration during Lyophilization with Temperature-based State Observers. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (CoRR, 2024)

Mechanistic Modeling of Continuous Lyophilization for Pharmaceutical Manufacturing. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (CoRR, 2024)

Probabilistically Robust Uncertainty Analysis and Optimal Control of Continuous Lyophilization via Polynomial Chaos Theory. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (ACC, 2025)

Simulation-based approach for fast optimal control of a Stefan problem with application to cell therapy. - Prakitr Srisuma; George Barbastathis; Richard D. Braatz (Autom., 2025)

AI to Identify Strain-sensitive Regions of the Optic Nerve Head Linked to Functional Loss in Glaucoma. - Thanadet Chuangsuwanich; Monisha E. Nongpiur; Fabian A. Braeu; Tin Aung Tun; Alexandre H. Thiery; Shamira A. Perera; Ching Lin Ho; Martin Lindsay Buist; George Barbastathis; Tin Aung; Michaël J. A. Girard (CoRR, 2025)