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08/13/2023
Self-supervised Noise2noise Method Utilizing Corrupted Images with a Modular Network for LDCT Denoising
Deep learning is a very promising technique for low-dose computed tomogr...
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07/09/2023
Ultrasonic Image's Annotation Removal: A Self-supervised Noise2Noise Approach
Accurately annotated ultrasonic images are vital components of a high-qu...
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05/06/2023
NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing
Deep learning has been applied to compressive sensing (CS) of images suc...
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03/24/2023
Quadratic Graph Attention Network (Q-GAT) for Robust Construction of Gene Regulatory Networks
Gene regulatory relationships can be abstracted as a gene regulatory net...
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02/24/2023
3D PETCT Tumor Lesion Segmentation via GCN Refinement
Whole-body PET/CT scan is an important tool for diagnosing various malig...
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02/08/2023
QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data
Deep learning has been successfully applied to low-dose CT (LDCT) image ...
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06/07/2022
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation
Nonnegative matrix factorization (NMF) has been widely used to dimension...
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04/18/2022
Subspace Nonnegative Matrix Factorization for Feature Representation
Traditional nonnegative matrix factorization (NMF) learns a new feature ...
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02/19/2022
Improving the Level of Autism Discrimination through GraphRNN Link Prediction
Dataset is the key of deep learning in Autism disease research. However,...
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12/22/2021
Entropy Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA): An Application to CT Image Restoration
The iterative weighted shrinkage-thresholding algorithm (IWSTA) has show...
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11/27/2021
An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation
Nonnegative matrix factorization (NMF) has been widely used to learn low...
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11/24/2021
NAM: Normalization-based Attention Module
Recognizing less salient features is the key for model compression. Howe...
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10/13/2019
Parameter Constrained Transfer Learning for Low Dose PET Image Denoising
Positron emission tomography (PET) is widely used in clinical practice. ...
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12/31/2018
