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Compressed sensing for longitudinal MRI: An adaptive-weighted approach
v1v2v3v4 (latest)

Compressed sensing for longitudinal MRI: An adaptive-weighted approach

Medical Physics (Lancaster) (Med. Phys.), 2014
10 July 2014
L. Weizman
Yonina C. Eldar
D. Ben Bashat
ArXiv (abs)PDFHTML

Papers citing "Compressed sensing for longitudinal MRI: An adaptive-weighted approach"

19 / 19 papers shown
Predicting before Reconstruction: A generative prior framework for MRI acceleration
Predicting before Reconstruction: A generative prior framework for MRI acceleration
Juhyung Park
Rokgi Hong
Roh-Eul Yoo
Jaehyeon Koo
S. Chun
S. Choi
Jongho Lee
MedIm
209
0
0
22 Oct 2025
Deep learning of personalized priors from past MRI scans enables fast, quality-enhanced point-of-care MRI with low-cost systems
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
243
5
0
05 May 2025
A Trust-Guided Approach to MR Image Reconstruction with Side Information
A Trust-Guided Approach to MR Image Reconstruction with Side InformationIEEE Transactions on Medical Imaging (IEEE TMI), 2025
Arda Atalık
S. Chopra
D. Sodickson
528
10
0
06 Jan 2025
Accelerating MRI with Longitudinally-informed Latent Posterior Sampling
Accelerating MRI with Longitudinally-informed Latent Posterior Sampling
Yonatan Urman
Zachary Shah
Ashwin Kumar
Bruno P. Soares
Kawin Setsompop
MedIm
241
0
0
29 Jun 2024
Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network
Multi-Modal MRI Reconstruction Assisted with Spatial Alignment NetworkIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Kai Xuan
L. Xiang
Xiaoqian Huang
Lichi Zhang
Shu Liao
Dinggang Shen
Qian Wang
558
43
0
12 Aug 2021
Multimodal Deep Unfolding for Guided Image Super-Resolution
Multimodal Deep Unfolding for Guided Image Super-ResolutionIEEE Transactions on Image Processing (TIP), 2020
Iman Marivani
Evaggelia Tsiligianni
Bruno Cornelis
Nikos Deligiannis
SupR
235
54
0
21 Jan 2020
Image-Guided Depth Upsampling via Hessian and TV Priors
Image-Guided Depth Upsampling via Hessian and TV Priors
Alireza Ahrabian
João F. C. Mota
Andrew M. Wallace
MDE
192
0
0
31 Oct 2019
Deep Coupled-Representation Learning for Sparse Linear Inverse Problems
  with Side Information
Deep Coupled-Representation Learning for Sparse Linear Inverse Problems with Side InformationIEEE Signal Processing Letters (SPL), 2019
Evaggelia Tsiligianni
Nikos Deligiannis
203
19
0
04 Jul 2019
Designing recurrent neural networks by unfolding an l1-l1 minimization
  algorithm
Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm
Hung Duy Le
Huynh Van Luong
Nikos Deligiannis
189
15
0
18 Feb 2019
HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting
HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting
P. Song
Yonina C. Eldar
G. Mazor
M. Rodrigues
263
31
0
07 Feb 2019
Scalable Learning-Based Sampling Optimization for Compressive Dynamic
  MRI
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRIIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Thomas Sanchez
Baran Gözcü
R. Heeswijk
Armin Eftekhari
E. Ilıcak
Tolga Çukur
Volkan Cevher
592
32
0
01 Feb 2019
Coupled Dictionary Learning for Multi-contrast MRI Reconstruction
Coupled Dictionary Learning for Multi-contrast MRI ReconstructionInternational Conference on Information Photonics (ICIP), 2018
P. Song
L. Weizman
João F. C. Mota
Yonina C. Eldar
M. Rodrigues
209
68
0
26 Jun 2018
Learning-Based Compressive MRI
Learning-Based Compressive MRI
Baran Gözcü
Rabeeh Karimi Mahabadi
Yen-Huan Li
E. Ilıcak
Tolga Çukur
Jonathan Scarlett
Volkan Cevher
231
127
0
03 May 2018
Tomographic Reconstruction using Global Statistical Prior
Tomographic Reconstruction using Global Statistical Prior
Preeti Gopal
Ritwick Chaudhry
S. Chandran
I. Svalbe
Ajit V. Rajwade
128
3
0
06 Dec 2017
Efficient adaptation of complex-valued noiselet sensing matrices for
  compressed single-pixel imaging
Efficient adaptation of complex-valued noiselet sensing matrices for compressed single-pixel imaging
A. Pastuszczak
Bartlomiej Szczygiel
M. Mikołajczyk
R. Kotyński
152
15
0
14 Jun 2016
Tradeoffs between Convergence Speed and Reconstruction Accuracy in
  Inverse Problems
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems
Raja Giryes
Yonina C. Eldar
A. Bronstein
Guillermo Sapiro
312
86
0
30 May 2016
Sparse Signal Reconstruction with Multiple Side Information using
  Adaptive Weights for Multiview Sources
Sparse Signal Reconstruction with Multiple Side Information using Adaptive Weights for Multiview Sources
Huynh Van Luong
Jürgen Seiler
Andre Kaup
Søren Forchhammer
172
12
0
22 May 2016
Measurement Bounds for Sparse Signal Reconstruction with Multiple Side
  Information
Measurement Bounds for Sparse Signal Reconstruction with Multiple Side Information
Huynh Van Luong
Jürgen Seiler
Andre Kaup
Søren Forchhammer
Nikos Deligiannis
328
4
0
10 May 2016
Classification and Reconstruction of High-Dimensional Signals from
  Low-Dimensional Features in the Presence of Side Information
Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side InformationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2014
F. Renna
Liming Wang
Xin Yuan
Jianbo Yang
Galen Reeves
Robert Calderbank
Lawrence Carin
M. Rodrigues
314
45
0
01 Dec 2014
1
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