| Sparse seismic deconvolution via recurrent neural network D Pereg, I Cohen, AA Vassiliou Journal of Applied Geophysics 175, 103979, 2020 | 18 | 2020 |
| Multichannel sparse spike inversion D Pereg, I Cohen, AA Vassiliou Journal of Geophysics and Engineering 14 (5), 1290-1299, 2017 | 14 | 2017 |
| Seismic signal recovery based on earth Q model D Pereg, I Cohen Signal Processing 137, 373-386, 2017 | 12 | 2017 |
| Convolutional Sparse Coding Fast Approximation with Application to Seismic Reflectivity Estimation AAV Deborah Pereg, Israel Cohen IEEE transactions on Geoscience and Remote Sensing, 2021 | 7* | 2021 |
| Blind deconvolution via maximum kurtosis adaptive filtering D Pereg, D Ben-Zvi 2016 IEEE International Conference on the Science of Electrical Engineering …, 2016 | 7 | 2016 |
| Information theoretic perspective on sample complexity D Pereg Neural Networks 167, 445-449, 2023 | 6 | 2023 |
| Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets D Pereg, M Villiger, B Bouma, P Golland https://arxiv.org/pdf/2209.14267.pdf, 2022 | 6 | 2022 |
| Three-dimensional sparse seismic deconvolution based on earth Q model D Pereg, I Cohen, AA Vassiliou Signal Processing 154, 97-107, 2019 | 6 | 2019 |
| Prestack time migration velocity analysis using recurrent neural networks D Pereg, I Cohen, AA Vassiliou, R Stromberg Journal of Applied Geophysics 181, 104160, 2020 | 5 | 2020 |
| Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction D Pereg Journal of Imaging, 2023 | 3 | 2023 |
| Three-dimensional sparse seismic deconvolution based on Q attenuation model D Pereg, I Cohen, AA Vassiliou SEG Technical Program Expanded Abstracts 2018, 491-495, 2018 | 2 | 2018 |
| Sparse seismic time-variant deconvolution using Q attenuation model D Pereg, I Cohen, A Vassiliou SEG Technical Program Expanded Abstracts 2017, 508-513, 2017 | 2 | 2017 |
| Seismic Deconvolution Using Sparse Spike Inversion vs. Basis Pursuit Inversion D Pereg, I Cohen, AA Vassiliou https://pdfs.semanticscholar.org/363d/89963e4261ce81ce2c0eb6ccad96ffbe7b60.pdf, 2015 | 2* | 2015 |
| Non-invasive estimation of the powder size distribution from a single speckle image Q Zhang, A Pandit, Z Liu, Z Guo, S Muddu, Y Wei, D Pereg, N Nazemifard, ... Light: Science & Applications 13 (1), 200, 2024 | 1 | 2024 |
| One-Shot Image Restoration D Pereg The 18th European Conference on Computer Vision (ECCV) 2024, 2024 | 1 | 2024 |
| Back to basics: Fast denoising iterative algorithm D Pereg Signal Processing 221, 109482, 2024 | | 2024 |
| On the use of physics in machine learning for inspection and control of complex processes G Barbastathis, Q Zhang, S Mondal, D Pereg Computational Optical Imaging and Artificial Intelligence in Biomedical …, 2024 | | 2024 |
| On the use of physics in machine learning for imaging and quantifying complex processes G Barbastathis, Q Zhang, R Braatz, A Myerson, C Papageorgiou, W Tang, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Back to Basics: Fast Denoising Iterative Algorithm D Pereg Signal Processing, 2023 | | 2023 |
| Sparse Seismic Deconvolution via Recurrent Neural Net D Pereg, I Cohen, AA Vassiliou Three-dimensional Seismic Imaging and Sparse Inversion 175, 38, 2020 | | 2020 |
Israel CohenProfessor of Electrical & Computer Engineering, Technion - Israel Institute of Technologyee.technion.ac.il의 이메일 확인됨