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Fill the K-Space and Refine the Image: Prompting for Dynamic and
  Multi-Contrast MRI Reconstruction

Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction

25 September 2023
Bingyu Xin
Meng Ye
L. Axel
Dimitris N. Metaxas
ArXivPDFHTML

Papers citing "Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction"

3 / 3 papers shown
Title
UPCMR: A Universal Prompt-guided Model for Random Sampling Cardiac MRI Reconstruction
UPCMR: A Universal Prompt-guided Model for Random Sampling Cardiac MRI Reconstruction
Donghang Lyu
Chinmay Rao
Marius Staring
M. Osch
M. Doneva
Hildo J. Lamb
Nicola Pezzotti
46
1
0
18 Feb 2025
HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss
HyperCMR: Enhanced Multi-Contrast CMR Reconstruction with Eagle Loss
Ruru Xu
Caner Ozer
I. Oksuz
18
1
0
04 Oct 2024
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
Fahad Shahbaz Khan
VPVLM
VLM
212
532
0
06 Oct 2022
1