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Motion Corrected Multishot MRI Reconstruction Using Generative Networks
  with Sensitivity Encoding
v1v2v3v4v5v6 (latest)

Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding

20 February 2019
Muhammad Usman
Muhammad Asim
S. Latif
B. Lee
Junaid Qadir
    MedImDiffMGAN
ArXiv (abs)PDFHTML

Papers citing "Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding"

15 / 15 papers shown
Title
Retrospective motion correction in MRI using disentangled embeddings
Retrospective motion correction in MRI using disentangled embeddings
Qi Wang
Veronika Ecker
Marcel Früh
S. Gatidis
Thomas Kustner
84
0
0
11 Nov 2025
MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction
MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction
Andrew Zhang
Hao Wang
Shuchang Ye
M. Fulham
Jinman Kim
MedIm
374
0
0
07 May 2025
Highly efficient non-rigid registration in k-space with application to
  cardiac Magnetic Resonance Imaging
Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging
Aya Ghoul
Kerstin Hammernik
Andreas Lingg
Patrick Krumm
Daniel Rueckert
S. Gatidis
Thomas Kustner
MedIm
62
1
0
24 Oct 2024
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion
  Corrected MRI
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRINeural Information Processing Systems (NeurIPS), 2024
Tobit Klug
Kun Wang
Stefan Ruschke
Reinhard Heckel
MedIm
218
2
0
14 Sep 2024
JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI
  with a Self-Calibrating Score-Based Diffusion Model
JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI with a Self-Calibrating Score-Based Diffusion Model
Lixuan Chen
Xuanyu Tian
Jiangjie Wu
Rui-jun Feng
Guoyan Lao
Yuyao Zhang
Hongjiang Wei
MedImDiffM
217
2
0
14 Oct 2023
Deep Learning for Retrospective Motion Correction in MRI: A
  Comprehensive Review
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive ReviewIEEE Transactions on Medical Imaging (TMI), 2023
Veronika Spieker
H. Eichhorn
Kerstin Hammernik
Daniel Rueckert
C. Preibisch
D. Karampinos
Julia A. Schnabel
MedIm
198
64
0
11 May 2023
Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion
  Estimation Using Deep CNNs
Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs
M. S. Feinler
B. Hahn
MedIm
89
6
0
30 Mar 2023
Motion correction in MRI using deep learning and a novel hybrid loss
  function
Motion correction in MRI using deep learning and a novel hybrid loss function
Lei Zhang
Xiaoke Wang
Michael Rawson
R. Balan
E. Herskovits
E. Melhem
Linda Chang
Ze Wang
T. Ernst
MedIm
233
15
0
19 Oct 2022
Wide Range MRI Artifact Removal with Transformers
Wide Range MRI Artifact Removal with TransformersBritish Machine Vision Conference (BMVC), 2022
Lennart Alexander Van der Goten
Kevin Smith
MedIm
116
5
0
14 Oct 2022
A Path Towards Clinical Adaptation of Accelerated MRI
A Path Towards Clinical Adaptation of Accelerated MRI
Michael S. Yao
M. Hansen
MedIm
288
2
0
26 Aug 2022
Retrospective Motion Correction of MR Images using Prior-Assisted Deep
  Learning
Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning
S. Chatterjee
Alessandro Sciarra
M. Dünnwald
S. Oeltze-Jafra
A. Nürnberger
Oliver Speck
MedIm
139
14
0
28 Nov 2020
Joint Frequency and Image Space Learning for MRI Reconstruction and
  Analysis
Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis
Nalini Singh
Juan Eugenio Iglesias
E. Adalsteinsson
Adrian Dalca
Polina Golland
219
20
0
02 Jul 2020
Augmenting Generative Adversarial Networks for Speech Emotion
  Recognition
Augmenting Generative Adversarial Networks for Speech Emotion Recognition
S. Latif
Muhammad Asim
R. Rana
Sara Khalifa
Raja Jurdak
Björn W. Schuller
GAN
304
29
0
18 May 2020
Secure and Robust Machine Learning for Healthcare: A Survey
Secure and Robust Machine Learning for Healthcare: A SurveyIEEE Reviews in Biomedical Engineering (RBME), 2020
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAMLOOD
216
437
0
21 Jan 2020
Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View
  Residual Learning
Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual LearningScientific Reports (Sci Rep), 2019
Muhammad Usman
B. Lee
Shi-Sub Byon
Sung Hyun Kim
Byung-il Lee
152
74
0
31 Dec 2019
1