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Clinician Perspectives on AI-Generated Drafts of Patient Test Result Explanations.

JAMA Netw Open
Shah SJ, Nair A, Murtagh K, Ma SP, Vogt K, Clutter D, Sheikh L, Schmidt H, Smith M, Lakhotia A, Bullock L, Bhasin A, Pfeffer MA, Sharp C, Lin S, Garcia P.   +15 more
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Declutter-GAN: GPR B-Scan Data Clutter Removal Using Conditional Generative Adversarial Nets

IEEE Geoscience and Remote Sensing Letters, 2022
Clutter removal in ground-penetrating radar (GPR) B-scan data has been widely studied in recent years. In this letter, we propose a novel data-driven clutter suppression method in GPR data based on conditional generative adversarial nets (cGANs).
Zhi-Kang Ni, Cheng Shi, Jun Pan, Zhijie Zheng, S. Ye, Guangyou Fang   +5 more
semanticscholar   +1 more source

Bistatic SAR Clutter-Ridge Matched STAP Method for Nonstationary Clutter Suppression

IEEE Transactions on Geoscience and Remote Sensing, 2022
Clutter suppression is a challenging task in synthetic aperture radar-ground moving target indication (SAR-GMTI). In general, sufficient secondary samples are not easily acquired due to the nonstationary and nonhomogeneous characteristics of bistatic SAR
Zhongyu Li, Hongda Ye, Zhutian Liu, Zhichao Sun, Hongyang An, Junjie Wu, Jianyu Yang   +6 more
semanticscholar   +1 more source

Adaptive Detection of Radar Targets in Heavy-Tailed Sea Clutter With Lognormal Texture

IEEE Transactions on Geoscience and Remote Sensing, 2022
This article deals with the problem of detecting a marine target with coherent radars in a correlated heavy-tailed sea clutter background. The heavy-tailed sea clutter is modeled by a compound-Gaussian model, and the clutter texture is characterized by ...
Jian Xue, Jun Liu, Shu-wen Xu, M. Pan
semanticscholar   +1 more source

Infrared Target Detection in Cluttered Environments by Maximization of a Target to Clutter Ratio (TCR) Metric Using a Convolutional Neural Network

IEEE Transactions on Aerospace and Electronic Systems, 2021
Infrared target detection is a challenging computer vision problem which involves detecting small targets in heavily cluttered conditions while maintaining a low false alarm rate.
Bruce McIntosh, Shashanka Venkataramanan, Abhijit Mahalanobis   +2 more
semanticscholar   +1 more source

A Novel Convolutional Autoencoder-Based Clutter Removal Method for Buried Threat Detection in Ground-Penetrating Radar

IEEE Transactions on Geoscience and Remote Sensing, 2021
The clutter encountered in ground-penetrating radar (GPR) systems seriously affects the performance of the subsurface target detection methods. A new clutter removal method based on convolutional autoencoders (CAEs) is introduced.
Eyyup Temlioglu, I. Erer
semanticscholar   +1 more source

Multichannel Sea Clutter Modeling for Spaceborne Early Warning Radar and Clutter Suppression Performance Analysis

IEEE Transactions on Geoscience and Remote Sensing, 2021
In this article, we propose a multichannel sea clutter model in a spaceborne early warning radar system and analyze the influence of the sea clutter motion characteristics on the space-time adaptive processing (STAP) performance.
Penghui Huang, Zihao Zou, X. Xia, Xingzhao Liu, G. Liao, Zhihui Xin   +5 more
semanticscholar   +1 more source