SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction

8 December 2018

Papers citing "SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction"

6 / 6 papers shown

Title
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference Haoyang Pei Ding Xia Xiang Xu William Moore Yao Wang Hersh Chandarana Li Feng 34 0 0 09 May 2025
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning Wanyu Bian 32 5 0 03 Jun 2024
Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction Guanxiong Luo Mengmeng Kuang Peng Cao 22 1 0 30 Nov 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis Yutong Chen Carola-Bibiane Schönlieb Pietro Lio T. Leiner Pier Luigi Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 30 87 0 23 Dec 2021
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning Shaonan Liu Haoxiang Li Yuanyuan Liu Hairong Zheng Guanxun Cheng Gang Yang Haifeng Wang Dong Liang MedIm 22 9 0 01 Dec 2021
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks Kuan Zhang Haoji Hu Kenneth A. Philbrick G. Conte Joseph D. Sobek Pouria Rouzrokh Bradley J. Erickson GAN MedIm 23 76 0 04 Jun 2021