Search Results for author:
Found 5 papers, 2 papers with code
Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth
Denoising is omnipresent in image processing.
Mask-guided Data Augmentation for Multiparametric MRI Generation with a Rare Hepatocellular Carcinoma
This paper introduces a new data augmentation architecture that generates synthetic multiparametric (T1 arterial, T1 portal, and T2) magnetic resonance images (MRI) of massive macrotrabecular subtype hepatocellular carcinoma with their corresponding tumor masks through a generative deep learning approach.
Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging
This paper addresses the problem of high-resolution Doppler blood flow estimation from an ultrafast sequence of ultrasound images.
Fast Single Image Super-Resolution
Specifically, an analytical solution can be obtained and implemented efficiently for the Gaussian prior or any other regularization that can be formulated into an $\ell_2$-regularized quadratic model, i. e., an $\ell_2$-$\ell_2$ optimization problem.
Joint Segmentation and Deconvolution of Ultrasound Images Using a Hierarchical Bayesian Model based on Generalized Gaussian Priors
Thus, we propose a GGD-Potts model defined by a label map coupling US image segmentation and deconvolution.
