Learning a Variational Network for Reconstruction of Accelerated MRI Data

3 April 2017

Papers citing "Learning a Variational Network for Reconstruction of Accelerated MRI Data"

50 / 452 papers shown

Title
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising Peizhou Huang Chaoyi Zhang Xiaoliang Zhang Xiaojuan Li Liang Dong L. Ying 92 16 0 07 May 2022
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis Ines P. Machado Esther Puyol-Antón Kerstin Hammernik G. Cruz Devran Ugurlu ... M. Castelo‐Branco Alistair Young Claudia Prieto Julia A. Schnabel A. King 30 3 0 02 May 2022
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector Bolin Pan M. Betcke 65 2 0 21 Apr 2022
An Optimal Time Variable Learning Framework for Deep Neural Networks Harbir Antil Hugo Díaz Evelyn Herberg 48 4 0 18 Apr 2022
Accelerated MRI With Deep Linear Convolutional Transform Learning Hongyi Gu Burhaneddin Yaman S. Moeller Il Yong Chun Mehmet Akçakaya MedIm 40 0 0 17 Apr 2022
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks Wei Peng Li Feng Guoying Zhao Fan Liu OOD 64 19 0 05 Apr 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers Jiahao Huang Yingying Fang Yang Nan Huanjun Wu Yinzhe Wu ... Zidong Wang Pietro Lio Daniel Rueckert Yonina C. Eldar Guang Yang OOD MedIm 76 3 0 01 Apr 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate Training Tri Dao Beidi Chen N. Sohoni Arjun D Desai Michael Poli Jessica Grogan Alexander Liu Aniruddh Rao Atri Rudra Christopher Ré 143 97 0 01 Apr 2022
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction Timothy C. Bakker Matthew Muckley Adriana Romero Soriano M. Drozdzal Luis Villaseñor-Pineda 76 18 0 30 Mar 2022
Computed Tomography Reconstruction using Generative Energy-Based Priors Martin Zach Erich Kobler Thomas Pock DiffM MedIm 60 12 0 23 Mar 2022
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging Kerstin Hammernik Thomas Kustner Burhaneddin Yaman Zhengnan Huang Daniel Rueckert Florian Knoll Mehmet Akçakaya PINN MedIm AI4CE 94 75 0 23 Mar 2022
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction Zongjiang Tu Chenbo Jiang Yu Guan Shanshan Wang Jijun Liu Qiegen Liu Dong Liang MedIm 105 16 0 21 Mar 2022
Rethinking the optimization process for self-supervised model-driven MRI reconstruction Weijian Huang Cheng Li Wenxin Fan Yongjin Zhou Qiegen Liu Hairong Zheng Shanshan Wang 147 3 0 18 Mar 2022
HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction Zalan Fabian Berk Tinaz Mahdi Soltanolkotabi 80 53 0 15 Mar 2022
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation Arjun D Desai Andrew M Schmidt E. Rubin Christopher M. Sandino Marianne S. Black ... R. Boutin Christopher Ré G. Gold B. Hargreaves Akshay S. Chaudhari 93 65 0 14 Mar 2022
Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI Xiaohan Liu Yanwei Pang Ruiqi Jin Yu Liu Zhenchang Wang 67 32 0 11 Mar 2022
Deep learning-based reconstruction of highly accelerated 3D MRI Sangtae Ahn U. Wollner Graeme Mckinnon Isabelle Jansen R. Brada ... J. DeMarco Robert Y Shih J. Trzasko C. Hardy T. Foo 48 3 0 09 Mar 2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling Cheng-Fang Peng Pengfei Guo S. Kevin Zhou Vishal M. Patel Ramalingam Chellappa MedIm DiffM 114 93 0 08 Mar 2022
Undersampled MRI Reconstruction with Side Information-Guided Normalisation Xinwen Liu Jing Wang Cheng-Fang Peng Shekhar S. Chandra Feng Liu S. Kevin Zhou OOD 65 6 0 07 Mar 2022
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction Yutong Xie Quanzheng Li DiffM MedIm 145 93 0 05 Mar 2022
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks A. Kofler Christian Wald T. Schaeffter Markus Haltmeier C. Kolbitsch 59 1 0 04 Mar 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 77 9 0 02 Mar 2022
Deep, Deep Learning with BART Moritz Blumenthal Guanxiong Luo Martin Schilling H. C. M. Holme M. Uecker 71 15 0 28 Feb 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 99 25 0 28 Feb 2022
Training Adaptive Reconstruction Networks for Blind Inverse Problems Alban Gossard P. Weiss MedIm 50 7 0 23 Feb 2022
Federated Learning of Generative Image Priors for MRI Reconstruction Gokberk Elmas S. Dar Yilmaz Korkmaz Emir Ceyani Burak Susam Muzaffer Özbey Salman Avestimehr Tolga cCukur FedML MedIm AI4CE 112 91 0 08 Feb 2022
Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction Jaejin Cho B. Gagoski Taehyung Kim Q. Tian Stephen R. Frost I. Chatnuntawech B. Bilgiç 77 8 0 06 Feb 2022
PARCEL: Physics-based Unsupervised Contrastive Representation Learning for Multi-coil MR Imaging Shanshan Wang Shanshan Wang Cheng Li J. Zou Ziyao Zhang Qiegen Liu Yan Xi Hairong Zheng SSL 57 18 0 03 Feb 2022
Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models Guanxiong Luo Moritz Blumenthal Martin Heide M. Uecker DiffM MedIm 102 72 0 03 Feb 2022
Posterior temperature optimized Bayesian models for inverse problems in medical imaging M. Laves Malte Tolle Alexander Schlaefer Sandy Engelhardt 78 10 0 02 Feb 2022
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI Thomas Yu T. Hilbert G. Piredda Arun A. Joseph G. Bonanno ... P. Omoumi Meritxell Bach Cuadra Erick Jorge Canales-Rodríguez Thomas Kober Jean-Philippe Thiran 69 5 0 29 Jan 2022
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction Bo Zhou Neel Dey Jo Schlemper S. Salehi Chi Liu James S. Duncan M. Sofka MedIm 87 57 0 26 Jan 2022
Universal Generative Modeling for Calibration-free Parallel Mr Imaging Wanqing Zhu Bing Guan Shanshan Wang Minghui Zhang Qiegen Liu MedIm 53 4 0 25 Jan 2022
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations Mareike Thies Fabian Wagner Mingxuan Gu Lukas Folle Lina Felsner Andreas Maier 41 4 0 19 Jan 2022
Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples Peter Dawood F. Breuer P. Burd I. Homolya Johannes Oberberger P. Jakob M. Blaimer 91 6 0 10 Jan 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 193 92 0 23 Dec 2021
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI Zhuoxu Cui Jing Cheng Qi Zhu Yuanyuan Liu Seng Jia ... Ziwen Ke Wenqi Huang Haifeng Wang Yanjie Zhu Dong Liang 65 8 0 18 Dec 2021
Specificity-Preserving Federated Learning for MR Image Reconstruction Chun-Mei Feng Yu-bao Yan Shanshan Wang Yong Xu Ling Shao Huazhu Fu OOD 131 80 0 09 Dec 2021
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI Zi Wang Chao Qian D. Guo Hongwei Sun Rushuai Li Bo Zhao X. Qu 99 50 0 09 Dec 2021
Embedding Gradient-based Optimization in Image Registration Networks Huaqi Qiu Kerstin Hammernik C. Qin Chong Chen Daniel Rueckert 95 11 0 07 Dec 2021
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction D. Karkalousos S. Noteboom H. Hulst F. Vos M. Caan OOD AI4CE 74 11 0 30 Nov 2021
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements Dongdong Chen Julián Tachella Mike E. Davies OOD 97 64 0 25 Nov 2021
Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction George Yiasemis Jan-Jakob Sonke C. Sánchez Jonas Teuwen 148 61 0 18 Nov 2021
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications M. Zibetti Florian Knoll R. Regatte 65 18 0 27 Oct 2021
WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions Matthew J. Colbrook 71 2 0 24 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 87 27 0 02 Oct 2021
Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning Arjun D Desai Batu Mehmet Ozturkler Christopher M. Sandino R. Boutin M. Willis S. Vasanawala B. Hargreaves Christopher Ré John M. Pauly Akshay S. Chaudhari 100 3 0 30 Sep 2021
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework Chenwenbao Hu Cheng Li Haifeng Wang Qiegen Liu Hairong Zheng Shanshan Wang OOD 219 47 0 26 Sep 2021
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction Ruiyang Zhao Yuxin Zhang Burhaneddin Yaman M. Lungren M. Hansen MedIm 57 10 0 23 Sep 2021
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities Wanyu Bian Yunmei Chen X. Ye 91 16 0 20 Sep 2021