
Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior
Direct reconstruction methods have been developed to estimate parametric...
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BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation
Blood vessel segmentation is crucial for many diagnostic and research ap...
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MSGWNN:multiscale graph wavelet neural network for breast cancer diagnosis
Breast cancer is one of the most common cancers in women worldwide, and ...
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IFGAN: Missing Value Imputation using Featurespecific Generative Adversarial Networks
Missing value imputation is a challenging and wellresearched topic in d...
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A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions
The expressiveness of deep neural network (DNN) is a perspective to unde...
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Deep Learningbased Fourregion Lung Segmentation in Chest Radiography for COVID19 Diagnosis
Purpose. Imaging plays an important role in assessing severity of COVID ...
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Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised MultiScale Generative Adversarial Network
Arterial spin labeling (ASL) magnetic resonance imaging (MRI) is a power...
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Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network
Patlak model is widely used in 18FFDG dynamic positron emission tomogra...
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Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography
Detecting cerebral aneurysms is an important clinical task of brain comp...
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Selfsupervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks
Dynamic computed tomography perfusion (CTP) imaging is a promising appro...
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A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks
Characterizing the subtle changes of functional brain networks associate...
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Penalizedlikelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding
Positron emission tomography (PET) is widely used for clinical diagnosis...
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Multilabel Detection and Classification of Red Blood Cells in Microscopic Images
Cell detection and cell type classification from biomedical images play ...
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Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging
Imagingbased early diagnosis of Alzheimer Disease (AD) has become an ef...
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AnnotationFree Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
Segmenting coronary arteries is challenging, as classic unsupervised met...
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ASCNet: AdaptiveScale Convolutional Neural Networks for MultiScale Feature Learning
Extracting multiscale information is key to semantic segmentation. Howe...
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Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples
Deep neural networks have been proved efficient for medical image denois...
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Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multipath Ensemble Model
Pap smear testing has been widely used for detecting cervical cancers ba...
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Computationally Efficient Cascaded Training for Deep Unrolled Network in CT Imaging
Dose reduction in computed tomography (CT) has been of great research in...
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Network Modeling and Pathway Inference from Incomplete Data ("PathInf")
In this work, we developed a network inference method from incomplete da...
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MultiEstimator Full Left Ventricle Quantification through Ensemble Learning
Cardiovascular disease accounts for 1 in every 4 deaths in United States...
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Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network
Recently deep neural networks have been widely and successfully applied ...
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Modeling 4D fMRI Data via SpatioTemporal Convolutional Neural Networks (STCNN)
Simultaneous modeling of the spatiotemporal variation patterns of brain...
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Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images
Positron Emission Tomography (PET) is a functional imaging modality wide...
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EndtoEnd Abnormality Detection in Medical Imaging
Nearly all of the deep learning based image analysis methods work on rec...
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Medical Image Segmentation Based on MultiModal Convolutional Neural Network: Study on Image Fusion Schemes
Image analysis using more than one modality (i.e. multimodal) has been ...
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Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
In our work, we bridge deep neural network design with numerical differe...
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Image Segmentation and Classification for Sickle Cell Disease using Deformable UNet
Reliable cell segmentation and classification from biomedical images is ...
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Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
PET image reconstruction is challenging due to the illposeness of the i...
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Dictionary Learning and Sparse Codingbased Denoising for HighResolution Task Functional Connectivity MRI Analysis
We propose a novel denoising framework for task functional Magnetic Reso...
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Selfpaced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis
Tissue characterization has long been an important component of Computer...
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Learning the Sparse and Low Rank PARAFAC Decomposition via the Elastic Net
In this article, we derive a Bayesian model to learning the sparse and l...
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A Cascaded Convolutional Neural Network for Xray Lowdose CT Image Denoising
Image denoising techniques are essential to reducing noise levels and en...
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Quanzheng Li
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