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07/22/2023
Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction
Reconstructing Computed tomography (CT) images from sparse measurement i...
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01/31/2023
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond
Image denoising is a typical ill-posed problem due to complex degradatio...
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11/28/2022
Low-resource Personal Attribute Prediction from Conversation
Personal knowledge bases (PKBs) are crucial for a broad range of applica...
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05/02/2022
Unsupervised Denoising of Optical Coherence Tomography Images with Dual_Merged CycleWGAN
Nosie is an important cause of low quality Optical coherence tomography ...
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03/21/2022
Depth Completion using Geometry-Aware Embedding
Exploiting internal spatial geometric constraints of sparse LiDARs is be...
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10/29/2021
Unsupervised PET Reconstruction from a Bayesian Perspective
Positron emission tomography (PET) reconstruction has become an ill-pose...
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07/07/2021
A convolutional neural network for teeth margin detection on 3-dimensional dental meshes
We proposed a convolutional neural network for vertex classification on ...
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05/14/2021
One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline
Magnetic resonance imaging (MRI) acquisition, reconstruction, and segmen...
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04/03/2021
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
Due to the presence of metallic implants, the imaging quality of compute...
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03/31/2021
PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information
Point cloud analysis is still a challenging task due to the disorder and...
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03/24/2021
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
Lowering the radiation dose in computed tomography (CT) can greatly redu...
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02/16/2021
DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
Metal implants can heavily attenuate X-rays in computed tomography (CT) ...
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12/13/2020
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT
Compressed sensing (CS) computed tomography has been proven to be import...
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10/27/2020
Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography
Spectral computed tomography (CT) can reconstruct spectral images from d...
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10/27/2020
CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels
Current mainstream of CT reconstruction methods based on deep learning u...
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03/28/2020
Learning Invariant Representation for Unsupervised Image Restoration
Recently, cross domain transfer has been applied for unsupervised image ...
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10/31/2018
Visual Attention Network for Low Dose CT
Noise and artifacts are intrinsic to low dose CT (LDCT) data acquisition...
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08/12/2018
Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network
Structure-preserved denoising of 3-D magnetic resonance images (MRI) is ...
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07/30/2017
Learned Experts' Assessment-based Reconstruction Network ("LEARN") for Sparse-data CT
Compressive sensing (CS) has proved effective for tomographic reconstruc...
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02/09/2017
Effective face landmark localization via single deep network
In this paper, we propose a novel face alignment method using single dee...
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02/01/2017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
Given the potential X-ray radiation risk to the patient, low-dose CT has...
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10/02/2016
