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2020 – today
- 2022
[i9]Zhen Guo, Jung Ki Song, George Barbastathis, Michael E. Glinsky, Courtenay T. Vaughan, Kurt W. Larson, Bradley K. Alpert, Zachary H. Levine:
Physics-assisted Generative Adversarial Network for X-Ray Tomography. CoRR abs/2204.03703 (2022)- [i8]Fabian A. Braeu, Alexandre H. Thiéry, Tin Aung Tun, Aiste Kadziauskiene, George Barbastathis, Tin Aung, Michaël J. A. Girard:
Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis. CoRR abs/2204.06931 (2022) - 2021
- [i7]Zhen Guo, Jung Ki Song, George Barbastathis, Michael E. Glinsky, Courtenay T. Vaughan, Kurt W. Larson, Bradley K. Alpert, Zachary H. Levine:
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography. CoRR abs/2111.08011 (2021) - 2020
- [j6]Raj Dandekar, Christopher Rackauckas
, George Barbastathis:
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread. Patterns 1(9): 100145 (2020) - [i6]Mo Deng, Shuai Li, Iksung Kang, Nicholas X. Fang, George Barbastathis:
On the interplay between physical and content priors in deep learning for computational imaging. CoRR abs/2004.06355 (2020) - [i5]Iksung Kang, Alexandre Goy, George Barbastathis:
Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning. CoRR abs/2007.10734 (2020)
2010 – 2019
- 2019
- [i4]Mo Deng, Shuai Li, Alexandre Goy, Iksung Kang, George Barbastathis:
Learning to Synthesize: Robust Phase Retrieval at Low Photon counts. CoRR abs/1907.11713 (2019) - 2018
- [j5]Chenglong Bao, George Barbastathis, Hui Ji, Zuowei Shen, Zhengyun Zhang:
Coherence Retrieval Using Trace Regularization. SIAM J. Imaging Sci. 11(1): 679-706 (2018) - [i3]Mo Deng, Shuai Li, George Barbastathis:
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery. CoRR abs/1811.07945 (2018) - 2017
- [i2]Ayan Sinha, Justin Lee, Shuai Li, George Barbastathis:
Lensless computational imaging through deep learning. CoRR abs/1702.08516 (2017) - 2011
- [c7]Ajay Giri Prakash Kottapalli, Chee Wee Tan, Jianmin Miao, George Barbastathis, Michael S. Triantafyllou:
Design and characterization of liquid crystal polymer membrane MEMS sensors for underwater sensing applications: A biomimetic of lateral-line fish sensing. ROBIO 2011: 1194-1199
2000 – 2009
- 2009
- [i1]Se Baek Oh, George Barbastathis, Ramesh Raskar:
Augmenting Light Field to model Wave Optics effects. CoRR abs/0907.1545 (2009) - 2004
- [c6]George Barbastathis:
Novel Diffractive Optical Elements and Algorithms for Real-Time 3D and Hyperspectral Imaging. 3DPVT 2004: 944 - 2003
- [j4]Arnab Sinha, George Barbastathis:
Resonant holography. Inf. Sci. 149(1-3): 13-19 (2003) - [j3]Wei-Chuan Shih, Chee Wei Wong, Yong Bae Jeon, Sang-Gook Kim, George Barbastathis:
MEMS tunable gratings with analog actuation. Inf. Sci. 149(1-3): 31-40 (2003) - 2002
- [c5]Wei-Chuan Shih, Chee Wei Wong, Yong Bae Jeon, Sang-Gook Kim, George Barbastathis:
MEMS Tunable Gratings with Analog Actuation. JCIS 2002: 1327-1330 - [c4]Arnab Sinha, George Barbastathis:
Resonant Holography. JCIS 2002: 1349-1352 - 2001
- [c3]Wenhai Liu, Demetri Psaltis, George Barbastathis, Arnab Sinha:
Real-time hyperspectral imaging with volume holographic optical elements. ICIP (2) 2001: 1049-1052
1990 – 1999
- 1999
- [j2]George Barbastathis, David J. Brady:
Multidimensional tomographic imaging using volume holography. Proc. IEEE 87(12): 2098-2120 (1999) - 1998
- [c2]Christophe Moser, George Barbastathis, Demetri Psaltis:
3-D measurements using conoscopy and application to ophthalmology. EUSIPCO 1998: 1-4 - 1997
- [j1]George Barbastathis:
Book Review: "Impossible Minds", by Igor Aleksander. Int. J. Neural Syst. 8(2): 247-248 (1997) - 1996
- [c1]Demetri Psaltis, George Barbastathis, Allen Pu:
Holographic 3D disks. ICECS 1996: 562-565
Coauthor Index
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