Deep learning approach for Fourier ptychography microscopy
Convolutional neural networks (CNNs) have gained tremendous success in solving complex
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
[PDF][PDF] Deep learning approach to Fourier ptychographic microscopy
T NGUYEN, Y XUE, Y LI, LEI TIAN, G NEHMETALLAH - 2018 - researchgate.net
Convolutional neural networks (CNNs) have gained tremendous success in solving complex
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
Deep learning approach for Fourier ptychography microscopy
T Nguyen, Y Xue, Y Li, L Tian… - Optics …, 2018 - ui.adsabs.harvard.edu
Convolutional neural networks (CNNs) have gained tremendous success in solving complex
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
[引用][C] Deep learning approach for Fourier ptychography microscopy
T Nguyen, Y Xue, Y Li, L Tian, G Nehmetallah - Optics Express, 2018 - cir.nii.ac.jp
Deep learning approach for Fourier ptychography microscopy | CiNii Research CiNii 国立
情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす …
情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす …
Deep learning approach for Fourier ptychography microscopy.
T Nguyen, Y Xue, Y Li, L Tian, G Nehmetallah - Optics Express, 2018 - europepmc.org
Convolutional neural networks (CNNs) have gained tremendous success in solving complex
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
[PDF][PDF] Deep learning approach to Fourier ptychographic microscopy
T Nguyen, Y Xue, Y Li, L Tian… - arXiv preprint arXiv …, 2018 - academia.edu
Convolutional neural networks (CNNs) have gained tremendous success in solving complex
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
Deep learning approach for Fourier ptychography microscopy
T Nguyen, Y Xue, Y Li, L Tian… - Optics …, 2018 - pubmed.ncbi.nlm.nih.gov
Convolutional neural networks (CNNs) have gained tremendous success in solving complex
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
Deep learning approach to Fourier ptychographic microscopy
T Nguyen, Y Xue, Y Li, L Tian… - arXiv preprint arXiv …, 2018 - arxiv.org
Convolutional neural networks (CNNs) have gained tremendous success in solving complex
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
Deep learning approach to Fourier ptychographic microscopy
T Nguyen, Y Xue, Y Li, L Tian, G Nehmetallah - 2018 - preprints.opticaopen.org
Convolutional neural networks (CNNs) have gained tremendous success in solving complex
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
[PDF][PDF] Deep learning approach for Fourier ptychography microscopy
T Nguyen, Y Xue, Y Li, L Tian… - arXiv preprint arXiv …, 2018 - academia.edu
Convolutional neural networks (CNNs) have gained tremendous success in solving complex
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …
inverse problems. The aim of this work is to develop a novel CNN framework to reconstruct …