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MR fingerprinting Deep RecOnstruction NEtwork (DRONE)

15 October 2017

Papers citing "MR fingerprinting Deep RecOnstruction NEtwork (DRONE)"

43 / 43 papers shown

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 81 0 0 09 May 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 141 5 0 21 Feb 2025
Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning Alex Finkelstein Nikita Vladimirov Moritz Zaiss O. Perlman 118 2 0 10 Nov 2024
Decoding the human brain tissue response to radiofrequency excitation using a biophysical-model-free deep MRI on a chip framework Dinor Nagar Moritz Zaiss Or Perlman MedIm 55 0 0 15 Aug 2024
StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations Perla Mayo Matteo Cencini Carolin M. Pirkl Marion I. Menzel M. Tosetti Bjoern Menze Mohammad Golbabaee 57 1 0 05 Aug 2024
Deep Image Priors for Magnetic Resonance Fingerprinting with pretrained Bloch-consistent denoising autoencoders Perla Mayo Matteo Cencini Ketan Fatania Carolin M. Pirkl Marion I. Menzel Bjoern Menze M. Tosetti Mohammad Golbabaee AI4CE 28 0 0 29 Jul 2024
MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs Antoine Barrier Thomas Coudert Aurélien Delphin B. Lemasson Thomas Christen 25 3 0 15 Jul 2024
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI Andrew Mao Sebastian Flassbeck Jakob Assländer 55 2 0 13 Nov 2023
Amide Proton Transfer (APT) imaging in tumor with a machine learning approach using partially synthetic data Malvika Viswanathan Leqi Yin Yashwant Kurmi Z. Zu MedIm 12 5 0 03 Nov 2023
Exploiting Manifold Structured Data Priors for Improved MR Fingerprinting Reconstruction Peng Li Yu Ji Yue Hu 17 2 0 09 Oct 2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction Zehao Wang Xiaotong Yu Chengyan Wang Weibo Chen Jiazheng Wang ... C. Cai Zhongze Chen D. Guo Guang Yang X. Qu AI4CE 109 14 0 25 Jul 2023
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction F. Zimmermann C. Kolbitsch Patrick Schuenke A. Kofler 48 7 0 19 Jun 2023
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging J. Zou Cheng Li Seng Jia Shanshan Wang Tingrui Pei Hairong Zheng Shanshan Wang 77 15 0 08 Aug 2022
Accelerated and Quantitative 3D Semisolid MT/CEST Imaging using a Generative Adversarial Network (GAN-CEST) J. Weigand-Whittier Maria Sedykh K. Herz Jaume Coll-Font Anna N. Foster Elizabeth R Gerstner C. Nguyen Moritz Zaiss C. Farrar O. Perlman MedIm 104 15 0 22 Jul 2022
Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance Qinqin Yang Zi Wang Kunyuan Guo C. Cai X. Qu PINN OOD MedIm AI4CE 86 60 0 21 Mar 2022
Modelling and optimization of nanovector synthesis for applications in drug delivery systems Felipe J. Villaseñor-Cavazos Daniel Torres-Valladares O. Lozano 25 0 0 10 Nov 2021
Cramér-Rao bound-informed training of neural networks for quantitative MRI Xiaoxia Zhang Quentin Duchemin Kangning Liu Sebastian Flassbeck Cem Gultekin C. Fernandez‐Granda Jakob Assländer 95 21 0 22 Sep 2021
A review and experimental evaluation of deep learning methods for MRI reconstruction Arghya Pal Yogesh Rathi 3DV 108 46 0 17 Sep 2021
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting Yilin Liu Yong Chen P. Yap 71 5 0 16 Jul 2021
Unsupervised learning of MRI tissue properties using MRI physics models Divya Varadarajan Katherine Bouman A. Kouwe Bruce Fischl Adrian Dalca OOD 25 5 0 06 Jul 2021
Channel Attention Networks for Robust MR Fingerprinting Matching Refik Soyak Ebru Navruz Eda Ozgu Ersoy G. Cruz Claudia Prieto A. King D. Unay Ilkay Oksuz 23 1 0 02 Dec 2020
An off-the-grid approach to multi-compartment magnetic resonance fingerprinting Mohammad Golbabaee C. Poon 54 4 0 23 Nov 2020
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks F. Balsiger Alain Jungo Olivier Scheidegger B. Marty M. Reyes 46 3 0 10 Aug 2020
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations Dongdong Chen Mike E. Davies Mohammad Golbabaee 64 16 0 27 Jun 2020
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders Mohammad Golbabaee Guido Bounincontri Carolin M. Pirkl Marion I. Menzel Bjoern Menze Mike Davies Pedro A. Gómez MedIm 50 5 0 23 Jan 2020
Deep Reinforcement Learning Designed Shinnar-Le Roux RF Pulse using Root-Flipping: DeepRF_SLR Dongmyung Shin Sooyeon Ji Doo-Hee Lee Jieun Lee S. Oh Jongho Lee 19 0 0 19 Dec 2019
$Σ$ -net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction Kerstin Hammernik Jo Schlemper C. Qin Jinming Duan Ronald M. Summers Daniel Rueckert 68 24 0 18 Dec 2019
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting F. Balsiger Alain Jungo Olivier Scheidegger P. Carlier M. Reyes B. Marty 64 26 0 09 Nov 2019
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks Elisabeth Hoppe Florian Thamm Gregor Körzdörfer Christopher Syben Franziska Schirrmacher M. Nittka J. Pfeuffer H. Meyer Andreas Maier 27 16 0 13 Sep 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement Ryutaro Tanno Daniel E. Worrall Enrico Kaden Aurobrata Ghosh Francesco Grussu A. Bizzi S. Sotiropoulos A. Criminisi Daniel C. Alexander MedIm DiffM 104 33 0 31 Jul 2019
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks Dong Liang Jing Cheng Ziwen Ke L. Ying 76 56 0 26 Jul 2019
RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting Elisabeth Hoppe Florian Thamm Gregor Körzdörfer Christopher Syben Franziska Schirrmacher M. Nittka J. Pfeuffer H. Meyer Andreas Maier 78 16 0 09 Jul 2019
Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression Anish Lahiri Jeffrey A. Fessler L. Hernandez-Garcia 25 21 0 15 May 2019
Deep MR Fingerprinting with total-variation and low-rank subspace priors Mohammad Golbabaee Carolin M. Pirkl Marion I. Menzel G. Buonincontri Pedro A. Gómez 41 6 0 26 Feb 2019
HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting P. Song Yonina C. Eldar G. Mazor M. Rodrigues 42 31 0 07 Feb 2019
Magnetic Resonance Fingerprinting using Recurrent Neural Networks Ilkay Oksuz G. Cruz J. Clough A. Bustin Nicolo Fuin René M. Botnar Claudia Prieto A. King Julia A. Schnabel 54 42 0 19 Dec 2018
Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks J. Andersson H. Ahlström J. Kullberg MedIm 48 32 0 12 Dec 2018
An overview of deep learning in medical imaging focusing on MRI A. Lundervold A. Lundervold OOD 112 1,649 0 25 Nov 2018
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction Mohammad Golbabaee Zhouye Chen Yves Wiaux Mike Davies 61 14 0 03 Oct 2018
Fast, Precise Myelin Water Quantification using DESS MRI and Kernel Learning Gopal Nataraj J. Nielsen Mingjie Gao Jeffrey A. Fessler 21 6 0 24 Sep 2018
Geometry of Deep Learning for Magnetic Resonance Fingerprinting Mohammad Golbabaee Dongdong Chen Pedro A. Gómez Marion I. Menzel Mike E. Davies 69 42 0 05 Sep 2018
MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR T2 mapping Fang Liu Li Feng Richard Kijowski 27 0 0 02 Sep 2018
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks F. Balsiger A. Konar Shivaprasad Chikop V. Chandran Olivier Scheidegger S. Geethanath M. Reyes 52 44 0 17 Jul 2018