Results 141 to 150 of about 1,956 (163)

Supermultiplexed optical imaging and barcoding with engineered polyynes. [PDF]

Nat Methods, 2018
Hu F, Zeng C, Long R, Miao Y, Wei L, Xu Q, Min W.   +6 more
europepmc   +1 more source

Advancing precision cancer immunotherapy drug development, administration, and response prediction with AI-enabled Raman spectroscopy. [PDF]

Front Immunol
Chadokiya J, Chang K, Sharma S, Hu J, Lill JR, Dionne J, Kirane A.   +6 more
europepmc   +1 more source

Deep learning and remote photoplethysmography powered advancements in contactless physiological measurement. [PDF]

Front Bioeng Biotechnol
Chen W, Yi Z, Lim LJR, Lim RQR, Zhang A, Qian Z, Huang J, He J, Liu B.   +8 more
europepmc   +1 more source

Surface-Enhanced Raman Spectroscopy for Biomedical Applications: Recent Advances and Future Challenges. [PDF]

ACS Appl Mater Interfaces
Lin LL, Alvarez-Puebla R, Liz-Marzán LM, Trau M, Wang J, Fabris L, Wang X, Liu G, Xu S, Han XX, Yang L, Shen A, Yang S, Xu Y, Li C, Huang J, Liu SC, Huang JA, Srivastava I, Li M, Tian L, Nguyen LBT, Bi X, Cialla-May D, Matousek P, Stone N, Carney RP, Ji W, Song W, Chen Z, Phang IY, Henriksen-Lacey M, Chen H, Wu Z, Guo H, Ma H, Ustinov G, Luo S, Mosca S, Gardner B, Long YT, Popp J, Ren B, Nie S, Zhao B, Ling XY, Ye J.   +46 more
europepmc   +1 more source

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Penetrating Terahertz Hyperspectral Unmixing via Löwner-John Ellipsoid (THz HU-LJE): An Unsupervised Algorithm

2020 45th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), 2020
We presented an unsupervised method to separate mixtures of penetrating hyperspectral THz signals, using Lowner-John ellipsoid and THz time-domain spectroscopy. Its efficacy was demonstrated in the substance system composed of chemical pellets. Compared with contemporary THz spectral unmixing methods, we blindly extracted broadband spectral signatures ...
Yi-Chun Hung, Chia-Hsiang Lin, Feng-Yu Wang, Shang-Hua Yang   +3 more
openaire   +1 more source

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing

IEEE Transactions on Neural Networks and Learning Systems, 2022
Danfeng Hong, Lianru Gao, Jing Yao
exaly  

Convolutional Autoencoder for Spectral–Spatial Hyperspectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing, 2021
Burkni Palsson, Magnus O Ulfarsson, Johannes R Sveinsson   +2 more
exaly  

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

IEEE Transactions on Image Processing, 2019
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot   +2 more
exaly  

Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing, 2012
Marian-Daniel Iordache, Antonio J Plaza
exaly  

Manifold Regularized Sparse NMF for Hyperspectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing, 2013
Xiaoqiang Lu, Yuan Yuan, Pingkun Yan
exaly