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HUMUS-Net: Hybrid unrolled multi-scale network architecture for
  accelerated MRI reconstruction

HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction

15 March 2022
Zalan Fabian
Berk Tinaz
Mahdi Soltanolkotabi
ArXivPDFHTML

Papers citing "HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction"

23 / 23 papers shown
Title
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
Onat Dalmaz
Arjun D Desai
Reinhard Heckel
Tolga Çukur
Akshay Chaudhari
B. Hargreaves
14
0
0
04 May 2025
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
Yinghao Zhang
Haiyan Gui
Ningdi Yang
Yue Hu
44
0
0
17 Feb 2025
LoFi: Neural Local Fields for Scalable Image Reconstruction
LoFi: Neural Local Fields for Scalable Image Reconstruction
AmirEhsan Khorashadizadeh
T. Liaudat
Tianlin Liu
Jason D. McEwen
Ivan Dokmanić
SupR
34
0
0
07 Nov 2024
Stochastic Gradient Descent Jittering for Inverse Problems: Alleviating
  the Accuracy-Robustness Tradeoff
Stochastic Gradient Descent Jittering for Inverse Problems: Alleviating the Accuracy-Robustness Tradeoff
Peimeng Guan
Mark A. Davenport
16
0
0
18 Oct 2024
MambaRecon: MRI Reconstruction with Structured State Space Models
MambaRecon: MRI Reconstruction with Structured State Space Models
Yilmaz Korkmaz
V. Patel
Mamba
31
2
0
19 Sep 2024
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image
  Reconstruction
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction
Ishak Ayad
Cécilia Tarpau
J. Cebeiro
Mai K. Nguyen
13
0
0
05 Jun 2024
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI
  Reconstruction
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI Reconstruction
Yue Cai
Yu Luo
Jie Ling
Shun Yao
14
2
0
09 May 2024
Score-based Generative Priors Guided Model-driven Network for MRI
  Reconstruction
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction
Xiaoyu Qiao
Weisheng Li
Bin Xiao
Yuping Huang
Lijian Yang
DiffM
20
3
0
05 May 2024
Progressive Divide-and-Conquer via Subsampling Decomposition for
  Accelerated MRI
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
Chong Wang
Lanqing Guo
Yufei Wang
Hao Cheng
Yi Yu
Bihan Wen
28
9
0
15 Mar 2024
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT
  Reconstruction
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction
Ishak Ayad
Nicolas Larue
Mai K. Nguyen
20
3
0
28 Feb 2024
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse
  Training Data
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
Kang Lin
Reinhard Heckel
OOD
19
5
0
16 Dec 2023
$k$-$t$ 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
15
0
0
17 Oct 2023
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
Bingyu Xin
Meng Ye
L. Axel
Dimitris N. Metaxas
27
12
0
25 Sep 2023
Transformers in Healthcare: A Survey
Transformers in Healthcare: A Survey
Subhash Nerella
S. Bandyopadhyay
Jiaqing Zhang
Miguel Contreras
Scott Siegel
...
Jessica Sena
B. Shickel
A. Bihorac
Kia Khezeli
Parisa Rashidi
MedIm
AI4CE
19
24
0
30 Jun 2023
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI
  Reconstruction
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction
Liping Zhang
Xiaobo Li
Weitian Chen
22
5
0
20 Jun 2023
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of
  Undersampled MRI Reconstruction
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction
Mevan Ekanayake
Z. Chen
Mehrtash Harandi
Gary Egan
Zhaolin Chen
12
3
0
01 Jun 2023
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction
  Methods
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
Tobit Klug
Dogukan Atik
Reinhard Heckel
16
7
0
30 May 2023
PETAL: Physics Emulation Through Averaged Linearizations for Solving
  Inverse Problems
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems
Jihui Jin
Etienne Ollivier
Richard X. Touret
Matthew I. McKinley
K. Sabra
J. Romberg
19
2
0
18 May 2023
Experimental Design for Multi-Channel Imaging via Task-Driven Feature
  Selection
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
Stefano B. Blumberg
Paddy J. Slator
Daniel C. Alexander
13
1
0
13 Oct 2022
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A
  Memory-Efficient Inverse Problem Solver
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver
Peimeng Guan
Jihui Jin
J. Romberg
Mark A. Davenport
16
4
0
10 Oct 2022
Scaling Laws For Deep Learning Based Image Reconstruction
Scaling Laws For Deep Learning Based Image Reconstruction
Tobit Klug
Reinhard Heckel
57
9
0
27 Sep 2022
MISSFormer: An Effective Medical Image Segmentation Transformer
MISSFormer: An Effective Medical Image Segmentation Transformer
Xiaohong Huang
Zhifang Deng
Dandan Li
Xueguang Yuan
ViT
MedIm
87
168
0
15 Sep 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
263
3,538
0
24 Feb 2021
1