Few-shot Transfer Learning for Holographic Image Reconstruction using a
Recurrent Neural Network

Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network

27 January 2022

Tairan Liu

Papers citing "Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network"

7 / 7 papers shown

Title
One-Shot Image Restoration Deborah Pereg SupR 29 1 0 26 Apr 2024
Neural Network-Based Processing and Reconstruction of Compromised Biophotonic Image Data M. Fanous Paloma Casteleiro Costa Çaǧatay Işıl Luzhe Huang Aydogan Ozcan 32 3 0 21 Mar 2024
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction Deborah Pereg OOD 34 2 0 13 Jun 2023
Self-supervised learning of hologram reconstruction using physics consistency Luzhe Huang Hanlong Chen Tairan Liu Aydogan Ozcan DiffM SSL 23 41 0 17 Sep 2022
Virtual stain transfer in histology via cascaded deep neural networks Xilin Yang Bijie Bai Yijie Zhang Yuzhu Li Kevin de Haan Tairan Liu Aydogan Ozcan MedIm 25 27 0 14 Jul 2022
Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization Hanlong Chen Luzhe Huang Tairan Liu Aydogan Ozcan 16 66 0 22 Apr 2022
Recurrent neural network-based volumetric fluorescence microscopy Luzhe Huang Yilin Luo Y. Rivenson Aydogan Ozcan MedIm 3DV 39 33 0 21 Oct 2020