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03/08/2023
DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction
Deep learning based PET image reconstruction methods have achieved promi...
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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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02/01/2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning
Federated learning (FL) has been intensively investigated in terms of co...
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09/26/2020
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis
Purpose. Imaging plays an important role in assessing severity of COVID ...
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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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10/05/2018
Computationally Efficient Cascaded Training for Deep Unrolled Network in CT Imaging
Dose reduction in computed tomography (CT) has been of great research in...
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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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11/06/2017
End-to-End Abnormality Detection in Medical Imaging
Nearly all of the deep learning based image analysis methods work on rec...
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10/09/2017
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
PET image reconstruction is challenging due to the ill-poseness of the i...
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05/11/2017