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05/01/2022
Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction
Low-dose CT (LDCT) imaging attracted a considerable interest for the red...
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10/31/2021
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
Defocus blur is one kind of blur effects often seen in images, which is ...
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10/29/2020
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset
It is critical to quantitatively analyse the developing human fetal brai...
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08/11/2020
AHP-Net: adaptive-hyper-parameter deep learning based image reconstruction method for multilevel low-dose CT
Low-dose CT (LDCT) imaging is desirable in many clinical applications to...
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07/04/2020
Deep Bilateral Retinex for Low-Light Image Enhancement
Low-light images, i.e. the images captured in low-light conditions, suff...
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12/16/2019
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction
Indirect image registration is a promising technique to improve image re...
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03/21/2019
Convolutional Neural Network on Semi-Regular Triangulated Meshes and its Application to Brain Image Data
We developed a convolution neural network (CNN) on semi-regular triangul...
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08/28/2018
Removing out-of-focus blur from a single image
Reproducing an all-in-focus image from an image with defocus regions is ...
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08/28/2018
