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09/17/2023
Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems
Recently, data-driven techniques have demonstrated remarkable effectiven...
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09/02/2023
Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction
Most existing MRI reconstruction methods perform tar-geted reconstructio...
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08/31/2023
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery
When taking images against strong light sources, the resulting images of...
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08/30/2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
In the field of parallel imaging (PI), alongside image-domain regulariza...
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08/05/2023
Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis
In this paper, a dynamic dual-graph fusion convolutional network is prop...
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08/03/2023
Automated Machine Learning in the smart construction era:Significance and accessibility for industrial classification and regression tasks
This paper explores the application of automated machine learning (AutoM...
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08/02/2023
A Mini Immersed Finite Element Method for Two-Phase Stokes Problems on Cartesian Meshes
This paper presents a mini immersed finite element (IFE) method for solv...
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07/30/2023
Unsupervised Decomposition Networks for Bias Field Correction in MR Image
Bias field, which is caused by imperfect MR devices or imaged objects, i...
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06/19/2023
Realistic Restorer: artifact-free flow restorer(AF2R) for MRI motion artifact removal
Motion artifact is a major challenge in magnetic resonance imaging (MRI)...
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06/18/2023
RetinexFlow for CT metal artifact reduction
Metal artifacts is a major challenge in computed tomography (CT) imaging...
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06/08/2023
Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis
Structural magnetic resonance imaging (sMRI) has shown great clinical va...
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05/25/2023
Nonlinear Bipartite Output Regulation with Application to Turing Pattern
In this paper, a bipartite output regulation problem is solved for a cla...
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05/06/2023
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
MRI and PET are crucial diagnostic tools for brain diseases, as they pro...
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05/04/2023
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI
Magnetic resonance imaging (MRI) is known to have reduced signal-to-nois...
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04/28/2023
ALL-E: Aesthetics-guided Low-light Image Enhancement
Evaluating the performance of low-light image enhancement (LLE) is highl...
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04/11/2023
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
Diffusion models are a leading method for image generation and have been...
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03/24/2023
Search By Image: Deeply Exploring Beneficial Features for Beauty Product Retrieval
Searching by image is popular yet still challenging due to the extensive...
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12/15/2022
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging
Dynamic magnetic resonance image reconstruction from incomplete k-space ...
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12/06/2022
MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection
Recent aerial object detection models rely on a large amount of labeled ...
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11/24/2022
Deep unfolding as iterative regularization for imaging inverse problems
Recently, deep unfolding methods that guide the design of deep neural ne...
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11/04/2022
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation
Achieving accurate and automated tumor segmentation plays an important r...
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11/03/2022
Active CT Reconstruction with a Learned Sampling Policy
Computed tomography (CT) is a widely-used imaging technology that assist...
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10/28/2022
LBF:Learnable Bilateral Filter For Point Cloud Denoising
Bilateral filter (BF) is a fast, lightweight and effective tool for imag...
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09/02/2022
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction
Recently, score-based diffusion models have shown satisfactory performan...
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08/15/2022
One-shot Generative Prior Learned from Hankel-k-space for Parallel Imaging Reconstruction
Magnetic resonance imaging serves as an essential tool for clinical diag...
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08/11/2022
K-UNN: k-Space Interpolation With Untrained Neural Network
Recently, untrained neural networks (UNNs) have shown satisfactory perfo...
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08/10/2022
High-Frequency Space Diffusion Models for Accelerated MRI
Denoising diffusion probabilistic models (DDPMs) have been shown to have...
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06/21/2022
Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation
The morphological changes in knee cartilage (especially femoral and tibi...
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05/09/2022
PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging
Deep learning methods driven by the low-rank regularization have achieve...
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05/08/2022
WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction
Parallel Imaging (PI) is one of the most im-portant and successful devel...
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04/05/2022
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging
Parallel imaging is widely used in magnetic resonance imaging as an acce...
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03/21/2022
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction
Decreasing magnetic resonance (MR) image acquisition times can potential...
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01/19/2022
Variable Augmented Network for Invertible MR Coil Compression
A large number of coils are able to provide enhanced signal-to-noise rat...
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12/18/2021
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI
Recently, model-driven deep learning unrolls a certain iterative algorit...
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12/13/2021
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images
Object detection has made tremendous strides in computer vision. Small o...
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12/13/2021
Semantically Contrastive Learning for Low-light Image Enhancement
Low-light image enhancement (LLE) remains challenging due to the unfavor...
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12/01/2021
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning
Purpose: To propose a novel deep learning-based method called RG-Net (re...
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09/07/2021
MRI Reconstruction Using Deep Energy-Based Model
Purpose: Although recent deep energy-based generative models (EBMs) have...
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08/08/2021
MPI: Multi-receptive and Parallel Integration for Salient Object Detection
The semantic representation of deep features is essential for image cont...
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06/13/2021
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation
Medical imaging datasets usually exhibit domain shift due to the variati...
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05/08/2021
Active Terahertz Imaging Dataset for Concealed Object Detection
Concealed object detection in Terahertz imaging is an urgent need for pu...
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04/13/2021
SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging
Improving the image resolution and acquisition speed of magnetic resonan...
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03/21/2021
Learning Calibrated-Guidance for Object Detection in Aerial Images
Recently, the study on object detection in aerial images has made tremen...
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10/26/2020
Deep Low-rank plus Sparse Network for Dynamic MR Imaging
In dynamic MR imaging, L+S decomposition, or robust PCA equivalently, ha...
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08/14/2020
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction
Deep learning, particularly the generative model, has demonstrated treme...
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06/22/2020
Deep Low-rank Prior in Dynamic MR Imaging
The deep learning methods have achieved attractive results in dynamic MR...
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05/21/2020
MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images
Rain severely hampers the visibility of scene objects when images are ca...
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03/29/2020
Co-occurrence Background Model with Superpixels for Robust Background Initialization
Background initialization is an important step in many high-level applic...
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02/03/2020
Deep Learning for Highly Accelerated Diffusion Tensor Imaging
Diffusion tensor imaging (DTI) is widely used to examine the human brain...
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12/20/2019
