ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.09324
  4. Cited By
Joint learning of cartesian undersampling and reconstruction for
  accelerated MRI
v1v2 (latest)

Joint learning of cartesian undersampling and reconstruction for accelerated MRI

22 May 2019
Tomer Weiss
S. Vedula
Ortal Senouf
O. Michailovich
M. Zibulevsky
A. Bronstein
ArXiv (abs)PDFHTML

Papers citing "Joint learning of cartesian undersampling and reconstruction for accelerated MRI"

16 / 16 papers shown
Title
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology
  Prediction
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
Chen-Yu Yen
Raghav Singhal
Umang Sharma
Rajesh Ranganath
S. Chopra
Lerrel Pinto
54
2
0
06 Jun 2024
Reinforcement Learning for Sampling on Temporal Medical Imaging
  Sequences
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences
Zhishen Huang
106
1
0
28 Aug 2023
Constrained Probabilistic Mask Learning for Task-specific Undersampled
  MRI Reconstruction
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
77
2
0
25 May 2023
Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for
  Dynamic MRI
Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI
Tamir Shor
Tomer Weiss
Dor Noti
A. Bronstein
MedIm
35
1
0
13 Mar 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for
  Point-of-Care Identification of Disease
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease
R. Singhal
Mukund Sudarshan
Anish Mahishi
S. Kaushik
L. Ginocchio
A. Tong
H. Chandarana
D. Sodickson
Rajesh Ranganath
S. Chopra
132
5
0
27 Jan 2023
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via
  Reinforcement Learning
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement Learning
Pu Yang
Bin Dong
OffRLAI4TS
46
0
0
05 Dec 2022
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network
  for Multi-contrast MRI
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI
Lin Zhao
Xiao Chen
Eric Z. Chen
Yikang Liu
Dinggang Shen
Terrence Chen
Shanhui Sun
54
6
0
22 Oct 2022
On learning adaptive acquisition policies for undersampled multi-coil
  MRI reconstruction
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
Timothy C. Bakker
Matthew Muckley
Adriana Romero Soriano
M. Drozdzal
Luis Villaseñor-Pineda
62
18
0
30 Mar 2022
Joint optimization of system design and reconstruction in MIMO radar
  imaging
Joint optimization of system design and reconstruction in MIMO radar imaging
Tomer Weiss
Nissim Peretz
S. Vedula
A. Feuer
A. Bronstein
49
3
0
07 Oct 2021
End-to-End Sequential Sampling and Reconstruction for MRI
End-to-End Sequential Sampling and Reconstruction for MRI
Tianwei Yin
Zihui Wu
He Sun
Adrian Dalca
Yisong Yue
Katherine Bouman
80
20
0
13 May 2021
Towards Ultrafast MRI via Extreme k-Space Undersampling and
  Superresolution
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution
A. Belov
J. Stadelmann
Sergey Kastryulin
Dmitry V. Dylov
77
6
0
04 Mar 2021
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale
  Problems
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems
M. Zibetti
G. Herman
R. Regatte
48
5
0
04 Nov 2020
Experimental design for MRI by greedy policy search
Experimental design for MRI by greedy policy search
Tim Bakker
H. V. Hoof
Max Welling
59
59
0
30 Oct 2020
1D Probabilistic Undersampling Pattern Optimization for MR Image
  Reconstruction
1D Probabilistic Undersampling Pattern Optimization for MR Image Reconstruction
Shengke Xue
Ruiliang Bai
Xinyu Jin
103
0
0
08 Mar 2020
PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated
  MRI
PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI
Tomer Weiss
Ortal Senouf
S. Vedula
O. Michailovich
M. Zibulevsky
A. Bronstein
MedIm
150
79
0
12 Sep 2019
Learning the Sampling Pattern for MRI
Learning the Sampling Pattern for MRI
Ferdia Sherry
Martin Benning
J. D. L. Reyes
M. Graves
G. Maierhofer
Guy B. Williams
Carola-Bibiane Schönlieb
Matthias Joachim Ehrhardt
MedIm
123
71
0
20 Jun 2019
1