VTDCE-Net: A time invariant deep neural network for direct estimation of pharmacokinetic parameters from undersampled DCE MRI data.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16081
Abstract: PURPOSE To propose a robust time and space invariant deep learning method to directly estimate the pharmacokinetic/tracer kinetic (PK/TK) parameters from undersampled dynamic contrast-enhanced (DCE) Magnetic Resonance Imaging (MRI) data. METHODS DCE-MRI consists of 4D (3D-spatial… read more here.
Keywords: time; invariant deep; parameters undersampled; vtdce net ... See more keywords
Robust Channel Invariant Deep Noncooperative Spectrum Sensing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3229491
Abstract: Deep learning (DL) has been introduced to cognitive radio network to solve the problem of spectrum scarcity and further enhance the spectrum utilization. However, many DL-based spectrum sensing methods are sensitive to the environment, which… read more here.
Keywords: spectrum sensing; invariant deep; robust channel; spectrum ... See more keywords
Rotation-Invariant Deep Embedding for Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3088398
Abstract: Endowing convolutional neural networks (CNNs) with the rotation-invariant capability is important for characterizing the semantic contents of remote sensing (RS) images since they do not have typical orientations. Most of the existing deep methods for… read more here.
Keywords: invariant deep; remote sensing; rotation invariant; rotation ... See more keywords