| 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 | 211 | 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 | 40 | 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 | 33 | 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 | 12 | 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 | 11 | 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 | 6 | 2017 |
| 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 | 5 | 2021 |
| 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 | 4 | 2022 |
| Dynamic computer generated holography for virtual reality displays MH Eybposh, VR Curtis, A Moossavi, NC Pégard Frontiers in Optics, FM3B. 3, 2021 | 4 | 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 | 3 | 2022 |
| HQA1K Hologram Perceptual Quality Assessment Dataset MH Eybposh, C Cai, A Moosavi, JR Romaguera, NC Pégard | 1 | 2023 |
| 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 |
| Methods, systems, and computer readable media for biometric ocular photometry NCR Pégard, JM Rodriguez, TM Curtis, MM Ortiz, MH Eybposh, T Cohen, ... US Patent App. 18/713,626, 2025 | | 2025 |
| ConIQA: A deep learning method for perceptual image quality assessment with limited data MH Eybposh, C Cai, A Moossavi, J Rodriguez-Romaguera, NC Pégard Scientific Reports 14 (1), 20066, 2024 | | 2024 |
| 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 |
| 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 |
Nicolas C. PégardUniversity of North Carolina at Chapel Hill確認したメール アドレス: unc.edu