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
When can you trust feature selection? -- I: A condition-based analysis of LASSO and generalised hardness of approximation Alexander Bastounis Felipe Cucker Anders C. Hansen 54 2 0 18 Dec 2023
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data Kang Lin Reinhard Heckel OOD 72 6 0 16 Dec 2023
Robust MRI Reconstruction by Smoothed Unrolling (SMUG) Shijun Liang Van Hoang Minh Nguyen Jinghan Jia Ismail Alkhouri Sijia Liu S. Ravishankar 75 1 0 12 Dec 2023
Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI Hongyi Gu Chi Zhang Zidan Yu C. Rettenmeier V. A. Stenger Mehmet Akçakaya OOD 46 2 0 09 Dec 2023
Local monotone operator learning using non-monotone operators: MnM-MOL Maneesh John Jyothi Rikabh Chand Mathews Jacob 56 1 0 01 Dec 2023
JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction George Yiasemis N. Moriakov Clara I. Sánchez Jan-Jakob Sonke Jonas Teuwen 86 2 0 27 Nov 2023
Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction O. Jaubert Michele Pascale Javier Montalt-Tordera Julius Akesson Ruta Virsinskaite Dan Knight Simon Arridge J. Steeden V. Muthurangu 113 1 0 23 Nov 2023
Deep-learning-based acceleration of MRI for radiotherapy planning of pediatric patients with brain tumors Shahinur Alam J. Uh Alexander Dresner Chia-Ho Hua Khaled Khairy MedIm 61 0 0 22 Nov 2023
IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI Rui-jun Feng Qing Wu Jie Feng Huajun She Chunlei Liu Yuyao Zhang Hongjiang Wei 85 28 0 21 Nov 2023
Fast Controllable Diffusion Models for Undersampled MRI Reconstruction Wei Jiang Z. Xiong Feng Liu Nan Ye Hongfu Sun MedIm DiffM 135 6 0 20 Nov 2023
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning Chicago Y. Park Weijie Gan Zihao Zou Yuyang Hu Zhixin Sun Ulugbek S. Kamilov 76 0 0 03 Nov 2023
$k$ - $t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction Liping Zhang Weitian Chen 71 3 0 17 Oct 2023
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction Weijie Gan Qiuchen Zhai Michael T. McCann Cristina Garcia-Cardona Ulugbek S. Kamilov B. Wohlberg 92 6 0 11 Oct 2023
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models Batu Mehmet Ozturkler Chao Liu Benjamin Eckart Morteza Mardani Jiaming Song Jan Kautz 83 17 0 03 Oct 2023
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps F. Zimmermann A. Kofler 79 1 0 27 Sep 2023
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement Yuyang Xue Yuning Du Gianluca Carloni Eva Pachetti Connor Jordan Sotirios A. Tsaftaris 56 1 0 23 Sep 2023
CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction Chengyan Wang Jun Lyu Shuo Wang Chen Qin Kunyuan Guo ... Wenjia Bai Xiahai Zhuang He Wang Jin Qin Xiaobo Qu 120 29 0 19 Sep 2023
Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction Wanyu Bian Albert Jang Fan Liu DiffM 91 18 0 02 Sep 2023
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction Yu-bao Yan Chun-Mei Feng Yuexiang Li Rick Siow Mong Goh Lei Zhu MedIm 103 3 0 20 Aug 2023
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space Veronika Spieker Wenqi Huang H. Eichhorn Jonathan K. Stelter K. Weiss V. Zimmer R. Braren D. Karampinos Kerstin Hammernik Julia A. Schnabel MedIm 78 9 0 17 Aug 2023
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning Denis Prokopenko Kerstin Hammernik T. Roberts D. Lloyd Daniel Rueckert Joseph V. Hajnal 55 1 0 15 Aug 2023
Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction Jaejin Cho Yohan Jun Xiaoqing Wang Caique Kobayashi B. Bilgiç DiffM MedIm 65 5 0 09 Aug 2023
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction Sriprabha Ramanarayanan Mohammad Al Fahim R. G. S. Amrit Kumar Jethi Keerthi Ram M. Sivaprakasam 60 2 0 09 Aug 2023
SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image Reconstruction Rahul G.S. Sriprabha Ramnarayanan Mohammad Al Fahim Keerthi Ram Preejith S.P M. Sivaprakasam ViT MedIm 53 2 0 08 Aug 2023
Energy-Guided Diffusion Model for CBCT-to-CT Synthesis Linjie Fu Xia Li Xiuding Cai Dongkai Miao Yu Yao Yali Shen DiffM MedIm 64 5 0 07 Aug 2023
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets Frédéric Wang Han Qi A. D. Goyeneche Reinhard Heckel Michael Lustig Efrat Shimron 109 5 0 05 Aug 2023
Recovering high-quality FODs from a reduced number of diffusion-weighted images using a model-driven deep learning architecture Joseph Bartlett C. Davey L. Johnston Jinming Duan 42 5 0 28 Jul 2023
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling Jia Pan Suprosanna Shit Özgün Turgut Wenqi Huang Hongwei Bran Li Nil Stolt Ansó Thomas Kustner Kerstin Hammernik Daniel Rueckert 67 9 0 24 Jul 2023
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks Sriprabha Ramanarayanan Arun Palla Keerthi Ram M. Sivaprakasam 75 11 0 13 Jul 2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis Divyam Madaan D. Sodickson K. Cho S. Chopra OOD MedIm 75 1 0 23 Jun 2023
Attention Hybrid Variational Net for Accelerated MRI Reconstruction Guoyao Shen Boran Hao Mengyu Li Chad W. Farris I. Paschalidis Stephan W. Anderson Xinyu Zhang 69 4 0 21 Jun 2023
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI Zimeng Li Sa Xiao Cheng Wang Haidong Li Xiuchao Zhao ... Junshuai Xie Lei Shi F. Guo Chaohui Ye Xin Zhou 92 5 0 21 Jun 2023
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models Sriram Ravula Brett Levac A. Jalal Jonathan I. Tamir A. Dimakis DiffM MedIm 62 16 0 05 Jun 2023
Image Reconstruction for Accelerated MR Scan with Faster Fourier Convolutional Neural Networks Xiaohan Liu Yanwei Pang Xuebin Sun Yiming Liu Yonghong Hou Zhenchang Wang Xuelong Li MedIm 45 4 0 05 Jun 2023
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging Jeffrey Wen Rizwan Ahmad Philip Schniter MedIm 77 9 0 02 Jun 2023
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions Ben Adcock Juan M. Cardenas N. Dexter 86 6 0 01 Jun 2023
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction Mevan Ekanayake Zhiwen Chen Mehrtash Harandi Gary Egan Zhaolin Chen 85 3 0 01 Jun 2023
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods Tobit Klug Dogukan Atik Reinhard Heckel 70 8 0 30 May 2023
GSURE-Based Diffusion Model Training with Corrupted Data Bahjat Kawar Noam Elata T. Michaeli Michael Elad DiffM 150 31 0 22 May 2023
BlindHarmony: "Blind" Harmonization for MR Images via Flow model Hwihun Jeong Heejoon Byun Dong un Kang Jongho Lee MedIm 124 7 0 18 May 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen Matthew S. Rosen UQCV OOD 141 2 0 12 May 2023
Learning Task-Specific Strategies for Accelerated MRI Zihui Wu Tianwei Yin Yu Sun R. Frost A. Kouwe Adrian Dalca Katherine Bouman 70 4 0 25 Apr 2023
Fast MRI Reconstruction via Edge Attention Hanhui Yang Juncheng Li L. Lui Shihui Ying Jun Shi T. Zeng 52 7 0 22 Apr 2023
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL Aniket Pramanik Sampada Bhave S. Sajib Samir D. Sharma M. Jacob AI4CE OOD 52 2 0 21 Apr 2023
FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging R. Tibrewala T. Dutt A. Tong L. Ginocchio M. Keerthivasan ... S. Chopra Yvonne W. Lui D. Sodickson H. Chandarana Patricia M. Johnson 66 14 0 18 Apr 2023
Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks B. Afkham Julianne Chung Matthias Chung 66 1 0 17 Apr 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 75 2 0 14 Apr 2023
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography A. Hauptmann Jenni Poimala MedIm 79 5 0 04 Apr 2023
Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL) Aniket Pramanik M. Jacob 33 2 0 03 Apr 2023
Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs M. S. Feinler B. Hahn MedIm 45 5 0 30 Mar 2023