scholarly journals Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks

2018 ◽  
Vol 48 ◽  
pp. 162-176 ◽  
Author(s):  
Jianyu Lin ◽  
Neil T. Clancy ◽  
Ji Qi ◽  
Yang Hu ◽  
Taran Tatla ◽  
...  
Keyword(s):  
Neural Networks ◽  
Hyperspectral Imaging ◽  
Deep Neural Networks ◽  
Shape Reconstruction ◽  
Surface Shape ◽  
Dual Modality ◽  
Tissue Surface

Deep Neural Network Inverse-Design for Long Wave Infrared Hyperspectral Imaging

2021 ◽  
Vol 35 (11) ◽  
pp. 1336-1337
Author(s):  
Clayton Fowler ◽  
Sensong An ◽  
Bowen Zheng ◽  
Hong Tang ◽  
Hang Li ◽  
...  
Keyword(s):  
Neural Networks ◽  
Hyperspectral Imaging ◽  
Electromagnetic Waves ◽  
Deep Neural Networks ◽  
Structural Parameters ◽  
Inverse Design ◽  
Metal Insulator ◽  
Complex Interactions ◽  
Metal Insulator Metal ◽  
Long Wave Infrared

This paper presents a deep learning approach for the inverse-design of metal-insulator-metal metasurfaces for hyperspectral imaging applications. Deep neural networks are able to compensate for the complex interactions between electromagnetic waves and metastructures to efficiently produce design solutions that would be difficult to obtain using other methods. Since electromagnetic spectra are sequential in nature, recurrent neural networks are especially suited for relating such spectra to structural parameters.

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks
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