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

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

8 December 2018

Richard Kijowski

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

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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 220 1 0 09 May 2025
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging H. Aggarwal Sudhanya Chatterjee D. Shanbhag Uday Patil K.V.S. Hari 163 0 0 08 Aug 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning Wanyu Bian 238 7 0 03 Jun 2024
Paired Conditional Generative Adversarial Network for Highly Accelerated Liver 4D MRI Di Xu Xin Miao Hengjie Liu Jessica E. Scholey Wensha Yang ... Michael Ohliger Hui Lin Yi Lao Yang Yang Ke Sheng MedIm 163 5 0 20 May 2024
Generalized Deep Learning-based Proximal Gradient Descent for MR ReconstructionConference on Artificial Intelligence in Medicine in Europe (AIME), 2022 Guanxiong Luo Mengmeng Kuang Peng Cao 126 1 0 30 Nov 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysisProceedings of the IEEE (Proc. IEEE), 2021 Yutong Chen Carola-Bibiane Schönlieb Pietro Lio T. Leiner Pier Luigi Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 413 111 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 Bingsheng Huang Guanxun Cheng Gang Yang Haifeng Wang Dong Liang MedIm 89 10 0 01 Dec 2021
A review and experimental evaluation of deep learning methods for MRI reconstruction Arghya Pal Yogesh Rathi 3DV 285 54 0 17 Sep 2021
Data augmentation for deep learning based accelerated MRI reconstruction with limited dataInternational Conference on Machine Learning (ICML), 2021 Zalan Fabian Reinhard Heckel Mahdi Soltanolkotabi OOD MedIm 120 59 0 28 Jun 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 103 94 0 04 Jun 2021