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06/21/2023
TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models
In this work, we developed a novel text-guided image synthesis technique...
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02/08/2023
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images
Radiotherapy (RT) combined with cetuximab is the standard treatment for ...
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12/21/2022
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation
Inspired by the recent success of Transformers for Natural Language Proc...
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09/13/2022
PET image denoising based on denoising diffusion probabilistic models
Due to various physical degradation factors and limited counts received,...
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09/07/2022
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising
Position emission tomography (PET) is widely used in clinics and researc...
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03/15/2022
A Noise-level-aware Framework for PET Image Denoising
In PET, the amount of relative (signal-dependent) noise present in diffe...
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01/05/2022
Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction
Image reconstruction of low-count positron emission tomography (PET) dat...
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06/18/2021
Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior
Direct reconstruction methods have been developed to estimate parametric...
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09/14/2020
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network
Arterial spin labeling (ASL) magnetic resonance imaging (MRI) is a power...
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09/13/2020
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network
Patlak model is widely used in 18F-FDG dynamic positron emission tomogra...
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12/16/2019
Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding
Positron emission tomography (PET) is widely used for clinical diagnosis...
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06/09/2019
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples
Deep neural networks have been proved efficient for medical image denois...
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07/04/2018
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network
Recently deep neural networks have been widely and successfully applied ...
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12/17/2017
Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images
Positron Emission Tomography (PET) is a functional imaging modality wide...
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10/09/2017
