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09/16/2023
Bidirectional Graph GAN: Representing Brain Structure-Function Connections for Alzheimer's Disease
The relationship between brain structure and function is critical for re...
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09/13/2023
ShaDocFormer: A Shadow-attentive Threshold Detector with Cascaded Fusion Refiner for document shadow removal
Document shadow is a common issue that arise when capturing documents us...
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08/26/2023
Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansion
Vignetting commonly occurs as a degradation in images resulting from fac...
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07/28/2023
DocDeshadower: Frequency-aware Transformer for Document Shadow Removal
The presence of shadows significantly impacts the visual quality of scan...
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05/23/2023
Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI
Integrating the brain structural and functional connectivity features is...
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05/22/2023
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image
In minimally-invasive brain surgeries with indirect and narrow operating...
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03/11/2023
Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline
Brain network analysis is essential for diagnosing and intervention for ...
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01/21/2023
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement
Film, a classic image style, is culturally significant to the whole phot...
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12/16/2022
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement
Image enhancement is a technique that frequently utilized in digital ima...
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12/13/2022
Generative artificial intelligence-enabled dynamic detection of nicotine-related circuits
The identification of addiction-related circuits is critical for explain...
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11/30/2022
ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
Shadow removal improves the visual quality and legibility of digital cop...
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06/29/2022
Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification
Functional alterations in the relevant neural circuits occur from drug a...
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11/25/2021
Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN
The diagnosis of early stages of Alzheimer's disease (AD) is essential f...
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10/12/2021
A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease
Alzheimer's disease is characterized by alterations of the brain's struc...
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10/12/2021
DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer's disease
One of the main reasons for Alzheimer's disease (AD) is the disorder of ...
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07/23/2021
3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image
3D shape reconstruction is essential in the navigation of minimally-inva...
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07/21/2021
Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis
Using multimodal neuroimaging data to characterize brain network is curr...
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07/21/2021
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction
Multimodal neuroimage can provide complementary information about the de...
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07/21/2021
A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction
Fusing medical images and the corresponding 3D shape representation can ...
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11/09/2020
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain
Magnetic resonance imaging plays an important role in computer-aided dia...
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08/30/2020
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network
Recently, the state-of-the-art deep learning methods have demonstrated i...
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08/08/2020
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis
Fusing multi-modality medical images, such as MR and PET, can provide va...
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08/03/2020