A Dual-Encoder-Single-Decoder Based Low-Dose CT Denoising Network

Simulation Study of Low-Dose Sparse-Sampling CT with Deep Learning-Based Reconstruction: Usefulness for Evaluation of Ovarian Cancer Metastasis

(2020) Yasuyo Urase et al.   Applied Sciences-Basel

CT super-resolution using multiple dense residual block based GAN

(2020) Xiong Zhang et al.   Signal Image and Video Processing

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network

(2020) Shuxin Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Visual Attention Network for Low-Dose CT

(2019) Wenchao Du et al.   IEEE SIGNAL PROCESSING LETTERS

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

(2018) Kai Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A survey of computed tomography dose index and dose length product level in usual computed tomography protocol

(2018) Ehsan Mihandoost et al.   Journal of Cancer Research and Therapeutics

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

(2017) Hu Chen et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

aLow-dose CT via convolutional neural network

(2017) Hu Chen et al.   Biomedical Optics Express

Iterative Reconstruction for X-Ray Computed Tomography Using Prior-Image Induced Nonlocal Regularization

(2013) Hua Zhang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Block matching 3D random noise filtering for absorption optical projection tomography

(2010) P Fumene Feruglio et al.   PHYSICS IN MEDICINE AND BIOLOGY

Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures

(2009) Zhou Wang et al.   IEEE SIGNAL PROCESSING MAGAZINE

A comprehensive assessment of the structural similarity index

(2009) Richard Dosselmann et al.   Signal Image and Video Processing