| DeepCGH: 3D computer-generated holography using deep learning MH Eybposh, NW Caira, M Atisa, P Chakravarthula, NC Pégard Optics Express 28 (18), 26636-26650, 2020 | 165 | 2020 |
| VolPy: Automated and scalable analysis pipelines for voltage imaging datasets C Cai, J Friedrich, A Singh, MH Eybposh, EA Pnevmatikakis, K Podgorski, ... PLoS computational biology 17 (4), e1008806, 2021 | 36 | 2021 |
| Cluster-based filtering framework for speckle reduction in OCT images MH Eybposh, Z Turani, D Mehregan, M Nasiriavanaki Biomedical Optics Express 9 (12), 6359-6373, 2018 | 31 | 2018 |
| High-Speed Computer-Generated Holography Using Convolutional Neural Networks MH Eybposh, NW Caira, P Chakravarthula, M Atisa, NC Pégard OSA Biophotonics Congress: Biomedical Optics (BioMed 2020), 2020 | 10 | 2020 |
| Advances in computer-generated holography for targeted neuronal modulation MH Eybposh, VR Curtis, J Rodríguez-Romaguera, NC Pégard Neurophotonics 9 (4), 041409-041409, 2022 | 7 | 2022 |
| Segmentation and classification of cine-mr images using fully convolutional networks and handcrafted features MH Eybposh, MH Ebrahim-Abadi, M Jalilpour-Monesi, SS Saboksayr arXiv preprint arXiv:1709.02565, 2017 | 5 | 2017 |
| Optimization of time-multiplexed computer-generated holograms with surrogate gradients MH Eybposh, A Moossavi, VR Curtis, NC Pegard Emerging Digital Micromirror Device Based Systems and Applications XIV …, 2022 | 3 | 2022 |
| Dynamic computer generated holography for virtual reality displays MH Eybposh, VR Curtis, A Moossavi, NC Pégard Frontiers in Optics, FM3B. 3, 2021 | 3 | 2021 |
| Perceptual quality assessment in holographic displays with a semi-supervised neural network MH Eybposh, A Moossavi, J Xu, NW Caira, NC Pégard Digital Holography and Three-Dimensional Imaging, Th1A. 6, 2022 | 2 | 2022 |
| High-speed computer generated holography using convolutional neural networks NCR Pégard, MH Eybposh, NW Caira, MA Atisa, PK Chakravarthula US Patent App. 17/235,476, 2021 | 2 | 2021 |
| Enhanced Two-Photon Absorption with Deep Learning-Based Computer Generated Holography MH Eybposh, NW Caira, M Atisa, P Chakravarthula, NC Pégard Frontiers in Optics, FTu2B. 2, 2020 | 1 | 2020 |
| Chromatix: a high-performance differentiable wave optics simulation library D Deb, GJ Both, A Chaware, A Kohli, C Allier, C Cai, G Schlafly, G Meng, ... Computational Optics 2024, PC130230G, 2024 | | 2024 |
| Computer-Generated Holography Using Point Cloud Processing Neural Networks MH Eybposh, C Cai, D Deb, MAB Schott, L Ye, GJ Both, SC Turaga, ... 3D Image Acquisition and Display: Technology, Perception and Applications …, 2023 | | 2023 |
| Compressive Fluorescence Microscopy with Targeted Illumination for Fast Voltage Imaging C Cai, MH Eybposh, J Rodriguez-Romaguera, SC Turaga, N Pegard Computational Optical Sensing and Imaging, CM3B. 4, 2023 | | 2023 |
| HQA1K Hologram Perceptual Quality Assessment Dataset MH Eybposh, C Cai, A Moosavi, JR Romaguera, NC Pégard | | 2023 |
| Teaching optics with LightFlow: an intuitive framework for light propagation simulations MH Eybposh, C Cai, VR Curtis, NC Pegard Education and Training in Optics and Photonics, 1272325, 2023 | | 2023 |
| Deep Learning with Specialized Training for Fast Computer Generated Holography M Atisa, MH Eybposh, NC Pégard | | 2020 |
| Hardware and Computational Toolbox for 3D Partially Coherent Holography N Caira, J Xu, MH Eybposh, N Pegard OSA Biophotonics Congress: Biomedical Optics (BioMed 2020), 2020 | | 2020 |
| Dissecting the Role of Cerebellar Neural Populations in Associative Learning GA Patel R.P., Cai C., Eybposh M.H., Zhou C., Bennet C., Turner J., Labrozzi ... Gordon Research Conference Cerebellum, 2019 | | 2019 |
| Eye-Blink Conditioning in Awake and Intact Ferrets, GA Patel R.P., Zhou C., Bennet CJ., Eybposh M.H., Rucho R., Labrozzi G., Cai ... 49th Annual Meeting of the Society for Neuroscience, 2019 | | 2019 |
Nicolas C. PégardUniversity of North Carolina at Chapel Hill在 unc.edu 的电子邮件经过验证
