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20102022
most citedDeep Learning for Single Image Super-Resolution: A Brief Review

1.2k citations

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5 papers · 1 filter

eess.IV2020★ 639 cited

Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit

Tiankuang Zhou, Xing Lin, Jiamin Wu +7

Application-specific optical processors have been considered disruptive technologies for modern computing that can fundamentally accelerate the development of artificial intelligen…

eess.IV2020★ 25 cited

Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction

Jiangpeng Yan, Shuo Chen, Yongbing Zhang +1

Recent works have demonstrated that deep learning (DL) based compressed sensing (CS) implementation can accelerate Magnetic Resonance (MR) Imaging by reconstructing MR images from…

eess.IV2019★ 27 cited

Deep Learning on Image Denoising: An overview

Chunwei Tian, Lunke Fei, Wenxian Zheng +3

Deep learning techniques have received much attention in the area of image denoising. However, there are substantial differences in the various types of deep learning methods deali…

eess.IV2019★ 17 cited

LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution

Wenming Yang, Xuechen Zhang, Yapeng Tian +3

In this paper, we develop a concise but efficient network architecture called linear compressing based skip-connecting network (LCSCNet) for image super-resolution. Compared with t…

eess.IV2019★ 21 cited

Rapid and robust whole slide imaging based on LED-array illumination and color-multiplexed single-shot autofocusing

Shaowei Jiang, Zichao Bian, Xizhi Huang +4

Background: The use of whole slide imaging (WSI) for digital pathology has recently been cleared for primary diagnosis in the US. A conventional WSI system scans the tissue slide t…