335 citations · 465 across the 61 of their papers we have counts for
8 papers · 1 filter
Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction
Qiqin Dai, Henry Chopp, Emeline Pouyet +3
This paper presents an adaptive image sampling algorithm based on Deep Learning (DL). The adaptive sampling mask generation network is jointly trained with an image inpainting netw…
Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks
Arjun Punjabi, Adam Martersteck, Yanran Wang +3
Automated methods for Alzheimer's disease (AD) classification have the potential for great clinical benefits and may provide insight for combating the disease. Machine learning, an…
Computational multifocal microscopy
Kuan He, Zihao Wang, Xiang Huang +10
Despite recent advances, high performance single-shot 3D microscopy remains an elusive task. By introducing designed diffractive optical elements (DOEs), one is capable of converti…
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
Alice Lucas, Santiago Lopez Tapia, Rafael Molina +1
Video super-resolution (VSR) has become one of the most critical problems in video processing. In the deep learning literature, recent works have shown the benefits of using advers…
DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data
Sara Bahaadini, Vahid Noroozi, Neda Rohani +3
In this paper, benefiting from the strong ability of deep neural network in estimating non-linear functions, we propose a discriminative embedding function to be used as a feature…
Particle Tracking and Extended Object Imaging by Interferometric Super Resolution Microscopy
Itay Gdor, Seunghwan Yoo, Xiaolei Wang +8
An interferometric fluorescent microscope and a novel theoretic image reconstruction approach were developed and used to obtain super-resolution images of live biological samples a…