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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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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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07/15/2022
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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06/13/2022
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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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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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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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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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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10/31/2020
Self-supervised Representation Learning for Evolutionary Neural Architecture Search
Recently proposed neural architecture search (NAS) algorithms adopt neur...
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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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03/28/2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
Neural architecture search (NAS) is a promising method for automatically...
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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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10/18/2019
AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection
Temporal action detection is a fundamental yet challenging task in video...
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09/17/2018
