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07/27/2023
Fact-Checking of AI-Generated Reports
With advances in generative artificial intelligence (AI), it is now poss...
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07/18/2023
Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions
Cardiovascular disease (CVD) is the leading cause of death worldwide, an...
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06/05/2023
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT Reconstruction
We propose a novel Learned Alternating Minimization Algorithm (LAMA) for...
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04/03/2023
CT Multi-Task Learning with a Large Image-Text (LIT) Model
Large language models (LLM) not only empower multiple language tasks but...
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03/22/2023
Cube-Based 3D Denoising Diffusion Probabilistic Model for Cone Beam Computed Tomography Reconstruction with Incomplete Data
Deep learning (DL) has been extensively researched in the field of compu...
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02/21/2023
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring
This paper studies 3D low-dose computed tomography (CT) imaging. Althoug...
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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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02/07/2023
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation
Medical Image Segmentation is a useful application for medical image ana...
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01/20/2023
DiffusionCT: Latent Diffusion Model for CT Image Standardization
Computed tomography (CT) imaging is a widely used modality for early lun...
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11/18/2022
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction
Sparse-view computed tomography (CT) can be used to reduce radiation dos...
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07/24/2022
FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction
The presence of high-density objects such as metal implants and dental f...
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07/19/2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification
Artificial intelligence has made great progresses in medical data analys...
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07/15/2022
HOME: High-Order Mixed-Moment-based Embedding for Representation Learning
Minimum redundancy among different elements of an embedding in a latent ...
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06/24/2022
Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network
In nuclear imaging, limited resolution causes partial volume effects (PV...
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06/15/2022
Region-enhanced Deep Graph Convolutional Networks for Rumor Detection
Social media has been rapidly developing in the public sphere due to its...
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06/13/2022
Self-Supervised Representation Learning With MUlti-Segmental Informational Coding (MUSIC)
Self-supervised representation learning maps high-dimensional data into ...
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04/30/2022
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection
Early detection of lung nodules with computed tomography (CT) is critica...
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04/25/2022
Research Status of Deep Learning Methods for Rumor Detection
To manage the rumors in social media to reduce the harm of rumors in soc...
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04/25/2022
Multimodal Dual Emotion with Fusion of Visual Sentiment for Rumor Detection
In recent years, rumors have had a devastating impact on society, making...
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03/29/2022
Synergizing Physics/Model-based and Data-driven Methods for Low-Dose CT
Since 2016, deep learning (DL) has advanced tomographic imaging with rem...
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03/24/2022
X-ray Dissectography Improves Lung Nodule Detection
Although radiographs are the most frequently used worldwide due to their...
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03/22/2022
Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain
Digital breast tomosynthesis (DBT) exams should utilize the lowest possi...
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01/20/2022
SoftDropConnect (SDC) – Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis
Recently, deep learning has achieved remarkable successes in medical ima...
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12/23/2021
AI-based Reconstruction for Fast MRI – A Systematic Review and Meta-analysis
Compressed sensing (CS) has been playing a key role in accelerating the ...
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11/30/2021
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance
X-ray imaging is the most popular medical imaging technology. While x-ra...
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11/16/2021
Phase function estimation from a diffuse optical image via deep learning
The phase function is a key element of a light propagation model for Mon...
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11/12/2021
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography
Digital mammography is still the most common imaging tool for breast can...
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10/12/2021
Expressivity and Trainability of Quadratic Networks
Inspired by diversity of biological neurons, quadratic artificial neuron...
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10/07/2021
A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI images
The treatment decisions for brain metastatic disease are driven by knowl...
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09/11/2021
Protection or punishment? relating the design space of parental control apps and perceptions about them to support parenting for online safety
Parental control apps, which are mobile apps that allow parents to monit...
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08/27/2021
Disrupting Adversarial Transferability in Deep Neural Networks
Adversarial attack transferability is a well-recognized phenomenon in de...
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08/02/2021
From "study with me" to study with you: how activities of Study With Me livestream on Bilibili facilitate SRL community
It has become a trend to use study with me (SWM) Livestream to create a ...
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07/09/2021
Cross-modal Attention for MRI and Ultrasound Volume Registration
Prostate cancer biopsy benefits from accurate fusion of transrectal ultr...
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06/17/2021
AI-Enabled Ultra-Low-Dose CT Reconstruction
By the ALARA (As Low As Reasonably Achievable) principle, ultra-low-dose...
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06/17/2021
A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps
Third-party tracking allows companies to collect users' behavioural data...
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03/25/2021
Task-Oriented Low-Dose CT Image Denoising
The extensive use of medical CT has raised a public concern over the rad...
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03/18/2021
Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning
Deep learning has shown great promise for CT image reconstruction, in pa...
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03/17/2021
SPICE: Semantic Pseudo-labeling for Image Clustering
This paper presents SPICE, a Semantic Pseudo-labeling framework for Imag...
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02/18/2021
Noise Entangled GAN For Low-Dose CT Simulation
We propose a Noise Entangled GAN (NE-GAN) for simulating low-dose comput...
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11/06/2020
Noise2Sim – Similarity-based Self-Learning for Image Denoising
The key idea behind denoising methods is to perform a mean/averaging ope...
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08/16/2020
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography
The high risk population of cardiovascular disease (CVD) is simultaneous...
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08/04/2020
Stabilizing Deep Tomographic Reconstruction Networks
While the field of deep tomographic reconstruction has been advancing ra...
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07/20/2020
Integrative Analysis for COVID-19 Patient Outcome Prediction
While image analysis of chest computed tomography (CT) for COVID-19 diag...
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07/08/2020
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction
Deep neural network based methods have achieved promising results for CT...
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07/06/2020
X-ray Photon-Counting Data Correction through Deep Learning
X-ray photon-counting detectors (PCDs) are drawing an increasing attenti...
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06/23/2020
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network
Cine cardiac magnetic resonance imaging (MRI) is widely used for diagnos...
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02/27/2020
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering
Deep clustering has achieved state-of-the-art results via joint represen...
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02/06/2020
Duality of Width and Depth of Neural Networks
Here, we report that the depth and the width of a neural network are dua...
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01/08/2020
On Interpretability of Artificial Neural Networks
Deep learning has achieved great successes in many important areas to de...
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12/09/2019
