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20032025
most citedReview of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

1k citations

Showing 2022Show all

73 papers · 1 filter

cs.CE20228 cited

High-Dimensional Yield Estimation using Shrinkage Deep Features and Maximization of Integral Entropy Reduction

Shuo Yin, Guohao Dai, Wei W. Xing

Despite the fast advances in high-sigma yield analysis with the help of machine learning techniques in the past decade, one of the main challenges, the curse of dimensionality, whi…

physics.flu-dyn20227 cited

Analytical solutions for the acoustic field in thin annular combustion chambers with linear gradients of cross-sectional area and mean temperature

Dongbin Wang, Jiaqi Nan, Lijun Yang +2

Predictions of thermoacoustic instabilities in annular combustors are essential but difficult. Axial variations of flow and thermal parameters increase the cost of numerical simula…

physics.flu-dyn20221 cited

Lattice eddy simulation of turbulent flows

Jinglei Xu, Qi Li, Xianxu Yuan +3

Kolmogorov's (1941) theory of self-similarity implies the universality of small-scale eddies, and holds promise for a universal sub-grid scale model for large eddy simulation. The…

cs.CV202228 cited

Slow Motion Matters: A Slow Motion Enhanced Network for Weakly Supervised Temporal Action Localization

Weiqi Sun, Rui Su, Qian Yu +1

Weakly supervised temporal action localization (WTAL) aims to localize actions in untrimmed videos with only weak supervision information (e.g. video-level labels). Most existing m…

astro-ph.EP202210 cited

Giga-Year Dynamical Evolution of Particles Around Mars

Yuying Liang, Ryuki Hyodo

Particles of various sizes can exist around Mars. The orbits of large particles are mainly governed by Martian gravity, while those of small particles could be significantly affect…

eess.IV2022125 cited

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study

Lingwei Meng, Di Dong, Xin Chen +5

Objective: Radiomics, an emerging tool for medical image analysis, is potential towards precisely characterizing gastric cancer (GC). Whether using one-slice 2D annotation or whole…