| Learning to synthesize: Robust phase retrieval at low photon counts M Deng, S Li, A Goy, I Kang, G Barbastathis Light: Science & Applications 9 (36), 2020 | 86 | 2020 |
| On the interplay between physical and content priors in deep learning for computational imaging M Deng*, S Li*, Z Zhang, I Kang, NX Fang, G Barbastathis Optics Express 28 (16), 24152-24170, 2020 | 41 | 2020 |
| Phase extraction neural network (PhENN) with coherent modulation imaging (CMI) for phase retrieval at low photon counts I Kang, F Zhang, G Barbastathis Optics Express 28 (15), 21578-21600, 2020 | 38 | 2020 |
| Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views I Kang, A Goy, G Barbastathis Light: Science & Applications 10 (74), 2021 | 30* | 2021 |
| Deep residual learning for low-order wavefront sensing in high-contrast imaging systems G Allan*, I Kang*, ES Douglas, G Barbastathis, K Cahoy Optics Express 28 (18), 26267-26283, 2020 | 18 | 2020 |
| Recurrent neural network reveals transparent objects through scattering media I Kang, S Pang, Q Zhang, N Fang, G Barbastathis Optics Express 29 (4), 5316-5326, 2021 | 12 | 2021 |
| Three-dimensional nanoscale reduced-angle ptycho-tomographic imaging with deep learning (RAPID) Z Wu, I Kang, Y Yao, Y Jiang, J Deng, J Klug, S Vogt, G Barbastathis eLight 3 (1), 7, 2023 | 10 | 2023 |
| Simultaneous spectral recovery and CMOS micro-LED holography with an untrained deep neural network I Kang, M De Cea, J Xue, Z Li, G Barbastathis, RJ Ram Optica 9 (10), 1149-1155, 2022 | 8 | 2022 |
| Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time I Kang, Z Wu, Y Jiang, Y Yao, J Deng, J Klug, S Vogt, G Barbastathis Light: Science & Applications 12 (131), 2023 | 4 | 2023 |
| Deep neural networks to improve the dynamic range of Zernike phase-contrast wavefront sensing in high-contrast imaging systems G Allan*, I Kang*, ES Douglas, M N'Diaye, G Barbastathis, K Cahoy Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter …, 2020 | 4 | 2020 |
| High-fidelity inversion at low-photon counts using deep learning and random phase modulation I Kang Massachusetts Institute of Technology, 2020 | 3 | 2020 |
| Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits I Kang, Y Jiang, M Holler, M Guizar-Sicairos, AFJ Levi, J Klug, S Vogt, ... Optica 10 (8), 1000-1008, 2023 | 2 | 2023 |
| Coordinate-based neural representations for computational adaptive optics in widefield microscopy I Kang, Q Zhang, SX Yu, N Ji arXiv preprint arXiv:2307.03812, 2023 | 2 | 2023 |
| On the use of deep learning for three-dimensional computational imaging G Barbastathis, S Pang, I Kang, Z Wu, Z Liu, Z Guo, F Zhang Practical Holography XXXVII: Displays, Materials, and Applications 12445 …, 2023 | 1 | 2023 |
| Photon-starved X-ray Ptychographic imaging using Spatial Pyramid Atrous Convolution End-to-end Reconstruction (PtychoSPACER) Z Wu, I Kang, T Zhou, V Coykendall, B Ge, MJ Cherukara, G Barbastathis Computational Optical Sensing and Imaging, CF1D. 6, 2022 | 1 | 2022 |
| Three-dimensional reconstruction of integrated circuits by single-angle X-ray ptychography with machine learning I Kang, Y Yao, J Deng, J Klug, S Vogt, S Honig, G Barbastathis Computational Optical Sensing and Imaging, CTu6A. 4, 2021 | 1 | 2021 |
| A portable, low-cost, 3D-printed main magnetic field system for magnetic imaging I Kang 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 1 | 2017 |
| Coordinate-based neural representations for computational adaptive optics in two-photon microscopy I Kang, Q Zhang, C Yaeger, T Pham, XY Stella, M Harnett, N Ji Adaptive Optics and Wavefront Control for Biological Systems X 12851, 9-12, 2024 | | 2024 |
| Deep self-supervised learning for computational adaptive optics in widefield microscopy I Kang, Q Zhang, N Ji Adaptive Optics and Wavefront Control for Biological Systems IX 12388, 55-57, 2023 | | 2023 |
| Optical segmentation-based compressed readout of neuronal voltage dynamics S Kim, G Ko, I Kang, H Tian, LZ Fan, Y Li, AE Cohen, J Wu, Q Dai, ... bioRxiv, 2023.11. 10.566599, 2023 | | 2023 |
George BarbastathisProfessor of Mechanical Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
