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From the 1 of 1.2k papers with an AI index.

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20032024
most citedReview of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

1k citations

Showing 2020Show all

188 papers · 1 filter

cs.CV20208 cited

MM-FSOD: Meta and metric integrated few-shot object detection

Yuewen Li, Wenquan Feng, Shuchang Lyu +2

In the object detection task, CNN (Convolutional neural networks) models always need a large amount of annotated examples in the training process. To reduce the dependency of expen…

physics.optics202018 cited

Giant plasmonic bubbles nucleation under different ambient pressures

Binglin Zeng, Yuliang Wang, Mikhail E. Zaytsev +3

Water-immersed gold nanoparticles irradiated by a laser can trigger the nucleation of plasmonic bubbles after a delay time of a few microseconds [Wang et al., Proc. Natl. Acad. Sci…

astro-ph.SR20209 cited

Variation of Magnetic Flux Ropes Through Major Solar Flares

Aiying Duan, Chaowei Jiang, Zhenjun Zhou +2

It remains unclear how solar flares are triggered and in what conditions they can be eruptive with coronal mass ejections. Magnetic flux ropes (MFRs) has been suggested as the cent…

eess.IV20206 cited

Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI

Yichi Zhang

Automatic segmentation of myocardial contours and relevant areas like infraction and no-reflow is an important step for the quantitative evaluation of myocardial infarction. In thi…

physics.space-ph202010 cited

A comparison of methods for finding magnetic nulls in simulations and in situ observations of space plasmas

Vyacheslav Olshevsky, David Pontin, Benjamin Williams +5

Magnetic nulls are ubiquitous in space plasmas, and are of interest as sites of localized energy dissipation or magnetic reconnection. As such, a number of methods have been propos…

cs.CV20201 cited

MG-SAGC: A multiscale graph and its self-adaptive graph convolution network for 3D point clouds

Bo Wu, Bo Lang

To enhance the ability of neural networks to extract local point cloud features and improve their quality, in this paper, we propose a multiscale graph generation method and a self…