Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction

1 April 2019

Papers citing "Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction"

26 / 26 papers shown

Title
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions Onat Dalmaz Arjun D Desai Reinhard Heckel Tolga Çukur Akshay Chaudhari B. Hargreaves 24 0 0 04 May 2025
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging Yiwei Chen Amir Aghabiglou Shijie Chen Motahare Torki Chao Tang Ruud B. van Heeswijk Yves Wiaux 56 0 0 12 Mar 2025
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping Xiaojian Xu Weijie Gan Satya V. V. N. Kothapalli D. Yablonskiy Ulugbek S. Kamilov MedIm 74 5 0 21 Feb 2025
HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss Ruru Xu Caner Ozer I. Oksuz 16 1 0 04 Oct 2024
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction Jeffrey Wen Rizwan Ahmad Philip Schniter 31 2 0 28 May 2024
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI George Yiasemis J. Sonke Jonas Teuwen 26 2 0 15 Mar 2024
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 25 5 0 05 Aug 2023
Language-Assisted Deep Learning for Autistic Behaviors Recognition Andong Deng Taojiannan Yang C. L. P. Chen Qian Chen Leslie C. Neely Sakiko Oyama 21 8 0 17 Nov 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement Siyuan Dong Eric Z. Chen Lin Zhao Xiao Chen Yikang Liu Terrence Chen Shanhui Sun 29 5 0 06 Jun 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 31 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 22 87 0 01 Apr 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 25 9 0 02 Mar 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 11 5 0 29 Jan 2022
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications M. Zibetti Florian Knoll R. Regatte 17 17 0 27 Oct 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 16 10 0 23 Sep 2021
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities Wanyu Bian Yunmei Chen X. Ye 36 14 0 20 Sep 2021
Deformation-Compensated Learning for Image Reconstruction without Ground Truth Weijie Gan Yu Sun C. Eldeniz Jiaming Liu H. An Ulugbek S. Kamilov 18 12 0 12 Jul 2021
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI Y. Arefeen Onur Beker Jaejin Cho Heng Yu E. Adalsteinsson B. Bilgiç 24 31 0 02 Apr 2021
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning Pengfei Guo Puyang Wang Jinyuan Zhou Shanshan Jiang Vishal M. Patel FedML OOD 21 143 0 03 Mar 2021
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction Dominik Narnhofer Alexander Effland Erich Kobler Kerstin Hammernik Florian Knoll T. Pock UQCV BDL 15 49 0 12 Feb 2021
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems M. Zibetti G. Herman R. Regatte 9 5 0 04 Nov 2020
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking Burhaneddin Yaman S. A. Hosseini S. Moeller Mehmet Akçakaya AI4CE 8 4 0 26 Oct 2020
Deep Image Reconstruction using Unregistered Measurements without Groundtruth Weijie Gan Yu Sun C. Eldeniz Jiaming Liu H. An Ulugbek S. Kamilov 3DV 9 12 0 29 Sep 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 518 0 12 May 2020
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks S. A. Hosseini Burhaneddin Yaman S. Moeller Mehmet Akçakaya 13 7 0 12 May 2020
Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network Yuxiang Dai Peixian Zhuang MedIm 13 30 0 11 Jun 2019