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k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal
  Correlations

k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
22 July 2019
C. Qin
Jo Schlemper
Yanfu Zhang
Gavin Seegoolam
Anthony N. Price
Joseph V. Hajnal
Daniel Rueckert
    MedIm
ArXiv (abs)PDFHTML

Papers citing "k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations"

10 / 10 papers shown
$k$-$t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic
  Parallel MR Image Reconstruction
kkk-ttt CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction
Liping Zhang
Weitian Chen
253
3
0
17 Oct 2023
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning
Denis Prokopenko
Kerstin Hammernik
T. Roberts
D. Lloyd
Daniel Rueckert
Joseph V. Hajnal
197
1
0
15 Aug 2023
Reconstruction-driven motion estimation for motion-compensated MR CINE
  imaging
Reconstruction-driven motion estimation for motion-compensated MR CINE imagingIEEE Transactions on Medical Imaging (TMI), 2023
Jiazhen Pan
Wenqi Huang
Daniel Rueckert
Thomas Kustner
Kerstin Hammernik
229
0
0
05 Feb 2023
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic
  Resonance
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance
C. Qin
Daniel Rueckert
227
3
0
21 Sep 2022
SelfCoLearn: Self-supervised collaborative learning for accelerating
  dynamic MR imaging
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging
J. Zou
Cheng Li
Seng Jia
Shanshan Wang
Tingrui Pei
Bingsheng Huang
Shanshan Wang
213
15
0
08 Aug 2022
An End-To-End-Trainable Iterative Network Architecture for Accelerated
  Radial Multi-Coil 2D Cine MR Image Reconstruction
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image ReconstructionMedical Physics (Lancaster) (Med. Phys.), 2021
A. Kofler
Markus Haltmeier
T. Schaeffter
C. Kolbitsch
3DV
277
26
0
01 Feb 2021
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks
  in Highly Accelerated MRI
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI
Burhaneddin Yaman
Hongyi Gu
S. A. Hosseini
Omer Burak Demirel
S. Moeller
J. Ellermann
K. Uğurbil
Mehmet Akçakaya
OOD
534
47
0
13 Aug 2020
Deep Network Interpolation for Accelerated Parallel MR Image
  Reconstruction
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction
C. Qin
Jo Schlemper
Kerstin Hammernik
Yanfu Zhang
Ronald M. Summers
Daniel Rueckert
207
3
0
12 Jul 2020
$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks
  for Fast Parallel MR Image Reconstruction
ΣΣΣ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction
Kerstin Hammernik
Jo Schlemper
C. Qin
Yanfu Zhang
Ronald M. Summers
Daniel Rueckert
213
24
0
18 Dec 2019
Accelerating cardiac cine MRI using a deep learning-based ESPIRiT
  reconstruction
Accelerating cardiac cine MRI using a deep learning-based ESPIRiT reconstruction
Christopher M. Sandino
P. Lai
S. Vasanawala
Joseph Y. Cheng
311
3
0
13 Nov 2019
1
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