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
DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction Yuliang Zhu Jing Cheng Qi Xie Zhuo-Xu Cui Qingyong Zhu Yuanyuan Liu Xin Liu Jianfeng Ren Chengbo Wang Dong Liang 134 0 0 12 Jun 2025
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study Yasar Utku Alçalar Yu Cao Mehmet Akçakaya 34 0 0 30 May 2025
Sparsity-Driven Parallel Imaging Consistency for Improved Self-Supervised MRI Reconstruction Yasar Utku Alçalar Mehmet Akçakaya 41 1 0 30 May 2025
Diffusion Probabilistic Generative Models for Accelerated, in-NICU Permanent Magnet Neonatal MRI Yamin Arefeen Brett Levac Bhairav Patel Chang Ho Jonathan I. Tamir DiffM MedIm 90 0 0 21 May 2025
Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models Shirin Shoushtari Edward P. Chandler Yuanhao Wang M. Salman Asif Ulugbek S. Kamilov DiffM 153 0 0 16 May 2025
Deep Unrolled Meta-Learning for Multi-Coil and Multi-Modality MRI with Adaptive Optimization Merham Fouladvand Peuroly Batra 135 0 0 08 May 2025
Deep learning of personalized priors from past MRI scans enables fast, quality-enhanced point-of-care MRI with low-cost systems Tal Oved Beatrice Lena Chloé F. Najac Sheng Shen Matthew S. Rosen Andrew Webb Efrat Shimron MedIm 102 0 0 05 May 2025
Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI Merve Gülle Sebastian Weingärtner Mehmet Akçakaya 106 0 0 01 May 2025
Efficient and robust 3D blind harmonization for large domain gaps Hwihun Jeong Hayeon Lee S. Chun Jongho Lee 120 0 0 30 Apr 2025
Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks Sonia Laguna Lin Zhang Can Deniz Bezek Monika Farkas Dieter Schweizer Rahel A. Kubik-Huch O. Goksel OOD 69 0 0 15 Apr 2025
Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers M. Unser Stanislas Ducotterd 118 0 0 24 Mar 2025
Deep End-to-End Posterior ENergy (DEEPEN) for image recovery Jyothi Rikhab Chand M. Jacob DiffM 77 0 0 21 Mar 2025
How Should We Evaluate Uncertainty in Accelerated MRI Reconstruction? Luca Trautmann Peter Wijeratne Itamar Ronen Ivor Simpson 102 0 0 13 Mar 2025
Reconstruct Anything Model: a lightweight foundation model for computational imaging Matthieu Terris Samuel Hurault Maxime Song Julian Tachella MedIm DiffM 138 4 0 11 Mar 2025
Introducing 3D Representation for Medical Image Volume-to-Volume Translation via Score Fusion Xiyue Zhu Dou Hoon Kwark Ruike Zhu Kaiwen Hong Yiqi Tao Shirui Luo Yudu Li Zhi-Pei Liang Volodymyr V. Kindratenko MedIm 104 0 0 13 Jan 2025
A Trust-Guided Approach to MR Image Reconstruction with Side Information Arda Atalık S. Chopra D. Sodickson 129 0 0 06 Jan 2025
Stability Bounds for the Unfolded Forward-Backward Algorithm Émilie Chouzenoux Cecile Della Valle J. Pesquet 102 0 0 23 Dec 2024
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI George Yiasemis Jan-Jakob Sonke Jonas Teuwen 153 0 0 27 Nov 2024
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction Yucong Meng Zhiwei Yang Minghong Duan Yonghong Shi Zhijian Song 142 1 0 18 Nov 2024
Benchmarking 3D multi-coil NC-PDNet MRI reconstruction Asma Tanabene Chaithya G R Aurélien Massire Mariappan S. Nadar P. Ciuciu 36 2 0 08 Nov 2024
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model Yu Guan Kunlong Zhang Qi Qi Dong Wang Ziwen Ke Shaoyu Wang Dong Liang Qiegen Liu MedIm 99 0 0 06 Nov 2024
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns Armeet Singh Jatyani Jiayun Wang Zihui Wu Miguel Liu-Schiaffini Bahareh Tolooshams Anima Anandkumar Anima Anandkumar 101 2 0 05 Oct 2024
HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss Ruru Xu Caner Ozer I. Oksuz 105 1 0 04 Oct 2024
Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging Paul Weiser Georg Langs W. Bogner Stanislav Motyka Bernhard Strasser ... Tracy Batchelor Daniel Cahill Malte Hoffmann Antoine Klauser Ovidiu C. Andronesi 94 0 0 26 Sep 2024
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning Hwihun Jeong S. Chun Jongho Lee 91 2 0 16 Sep 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures Michael Unser Alexis Goujon Stanislas Ducotterd 125 2 0 23 Aug 2024
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging H. Aggarwal Sudhanya Chatterjee D. Shanbhag Uday Patil K.V.S. Hari 123 0 0 08 Aug 2024
Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors Shoujin Huang Guanxiong Luo Yuwan Wang Kexin Yang Lingyan Zhang ... Hua Guo Min Wang Mengye Lyu Lingyan Zhang Mengye Lyu MedIm 108 1 0 31 Jul 2024
The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities Natalia Konovalova Aniket A. Tolpadi Felix Liu Zehra Akkaya F. Gassert ... J. Luitjens Misung Han E. Bahroos Sharmila Majumdar V. Pedoia 69 0 0 16 Jul 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling Noam Elata T. Michaeli Michael Elad DiffM MedIm 70 9 0 11 Jul 2024
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration Luzhe Huang Xiongye Xiao Shixuan Li Jiawen Sun Yi Huang Aydogan Ozcan Paul Bogdan MedIm DiffM 80 3 0 07 Jul 2024
Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging Siying Xu Kerstin Hammernik Andreas Lingg Jens Kuebler Patrick Krumm Daniel Rueckert S. Gatidis T. Kuestner 123 1 0 03 Jul 2024
Highly Accelerated MRI via Implicit Neural Representation Guided Posterior Sampling of Diffusion Models Jiayue Chu Chenhe Du Xiyue Lin Yuyao Zhang Hongjiang Wei MedIm DiffM 75 2 0 03 Jul 2024
INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction Yamin Arefeen Brett Levac Zach Stoebner Jonathan I. Tamir MedIm 57 2 0 19 Jun 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning Wanyu Bian 123 7 0 03 Jun 2024
Direct Cardiac Segmentation from Undersampled K-space Using Transformers Yundi Zhang Nil Stolt Ansó Jiazhen Pan Wenqi Huang Kerstin Hammernik Daniel Rueckert MedIm 115 3 0 31 May 2024
Motion-Informed Deep Learning for Brain MR Image Reconstruction Framework Zhifeng Chen Kamlesh Pawar Kh Tohidul Islam Himashi Peiris Gary Egan Zhaolin Chen MedIm 3DV 32 0 0 28 May 2024
Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI Guanxiong Luo Shoujin Huang M. Uecker MedIm 153 2 0 23 May 2024
Learning Diffusion Priors from Observations by Expectation Maximization François Rozet Gérome Andry F. Lanusse Gilles Louppe DiffM 116 19 0 22 May 2024
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction Xiaoyu Qiao Weisheng Li Bin Xiao Yuping Huang Lijian Yang DiffM 86 3 0 05 May 2024
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging D. Karkalousos Ivana Išgum Henk A. Marquering M. Caan 72 0 0 30 Apr 2024
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation Samah Khawaled Moti Freiman UQCV 64 3 0 06 Apr 2024
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir MedIm 143 18 0 13 Mar 2024
Reconstruction for Sparse View Tomography of Long Objects Applied to Imaging in the Wood Industry Buda Bajić Johannes A. J. Huber Benedikt Neyses Linus Olofsson Ozan Oktem 62 0 0 05 Mar 2024
Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction Yidong Zhao Yi Zhang Qian Tao 158 1 0 01 Mar 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 78 0 0 19 Feb 2024
Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction Shijun Liang Evan Bell Qing Qu Rongrong Wang S. Ravishankar 83 8 0 06 Feb 2024
Deep Learning-based Intraoperative MRI Reconstruction Jon André Ottesen T. Storås S. Vatnehol G. Løvland Einar O. Vik-Mo ... Karoline Skogen C. Larsson A. Bjørnerud Inge Rasmus Groote-Eindbaas M. Caan AI4CE 62 0 0 23 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 105 4 0 18 Jan 2024
Learned reconstruction methods for inverse problems: sample error estimates Luca Ratti 62 0 0 21 Dec 2023