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. 1712.02862
  4. Cited By
MoDL: Model Based Deep Learning Architecture for Inverse Problems

MoDL: Model Based Deep Learning Architecture for Inverse Problems

7 December 2017
H. Aggarwal
M. Mani
M. Jacob
ArXivPDFHTML

Papers citing "MoDL: Model Based Deep Learning Architecture for Inverse Problems"

50 / 344 papers shown
Title
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference
Haoyang Pei
Ding Xia
Xiang Xu
William Moore
Yao Wang
Hersh Chandarana
Li Feng
34
0
0
09 May 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
33
0
0
05 May 2025
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
24
0
0
04 May 2025
Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI
Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI
Merve Gülle
Sebastian Weingärtner
Mehmet Akçakaya
46
0
0
01 May 2025
InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
Noam Elata
Hyungjin Chung
Jong Chul Ye
T. Michaeli
Michael Elad
DiffM
35
0
0
02 Apr 2025
Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers
Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers
M. Unser
Stanislas Ducotterd
40
0
0
24 Mar 2025
Deep End-to-End Posterior ENergy (DEEPEN) for image recovery
Deep End-to-End Posterior ENergy (DEEPEN) for image recovery
Jyothi Rikhab Chand
M. Jacob
DiffM
41
0
0
21 Mar 2025
Reconstruct Anything Model: a lightweight foundation model for computational imaging
Reconstruct Anything Model: a lightweight foundation model for computational imaging
M. Terris
Samuel Hurault
Maxime Song
Julian Tachella
MedIm
DiffM
70
2
0
11 Mar 2025
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
Xiaojian Xu
Weijie Gan
Satya V. V. N. Kothapalli
D. Yablonskiy
Ulugbek S. Kamilov
MedIm
74
5
0
21 Feb 2025
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
Andrew Wang
Steven McDonagh
Mike Davies
OOD
SSL
114
0
0
19 Feb 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
Exploring Siamese Networks in Self-Supervised Fast MRI Reconstruction
Exploring Siamese Networks in Self-Supervised Fast MRI Reconstruction
Liyan Sun
Shaocong Yu
Chi Zhang
Xinghao Ding
SSL
34
0
0
18 Jan 2025
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Eric Chen
Xi Chen
A. Maleki
S. Jalali
33
0
0
08 Jan 2025
A Self-supervised Diffusion Bridge for MRI Reconstruction
A Self-supervised Diffusion Bridge for MRI Reconstruction
Harry Gao
Weijie Gan
Yuyang Hu
Hongyu An
Ulugbek S. Kamilov
DiffM
MedIm
24
1
0
08 Jan 2025
A Trust-Guided Approach to MR Image Reconstruction with Side Information
A Trust-Guided Approach to MR Image Reconstruction with Side Information
Arda Atalık
S. Chopra
D. Sodickson
28
0
0
06 Jan 2025
MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)
MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)
Arya Bangun
Zhuo Cao
Alessio Quercia
Hanno Scharr
Elisabeth Pfaehler
MedIm
37
0
0
25 Dec 2024
Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction
  Improves Generalization
Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization
S. Liang
Evan Bell
Avrajit Ghosh
S. Ravishankar
29
0
0
24 Dec 2024
Stability Bounds for the Unfolded Forward-Backward Algorithm
Stability Bounds for the Unfolded Forward-Backward Algorithm
Émilie Chouzenoux
Cecile Della Valle
J. Pesquet
26
0
0
23 Dec 2024
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
George Yiasemis
J. Sonke
Jonas Teuwen
70
0
0
27 Nov 2024
A Learned Proximal Alternating Minimization Algorithm and Its Induced
  Network for a Class of Two-block Nonconvex and Nonsmooth Optimization
A Learned Proximal Alternating Minimization Algorithm and Its Induced Network for a Class of Two-block Nonconvex and Nonsmooth Optimization
Y. Chen
Lezhi Liu
Lei Zhang
29
0
0
10 Nov 2024
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
41
0
0
07 Nov 2024
Deep unrolled primal dual network for TOF-PET list-mode image
  reconstruction
Deep unrolled primal dual network for TOF-PET list-mode image reconstruction
Rui Hu
Chenxu Li
Kun Tian
Jianan Cui
Yunmei Chen
Huafeng Liu
16
0
0
15 Oct 2024
Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution
  neurometabolic imaging
Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging
Paul Weiser
Georg Langs
W. Bogner
Stanislav Motyka
Bernhard Strasser
...
Tracy Batchelor
Daniel Cahill
Malte Hoffmann
Antoine Klauser
Ovidiu C. Andronesi
22
0
0
26 Sep 2024
Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation
Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation
Qing Wu
Chenhe Du
Xuanyu Tian
Jingyi Yu
Yuyao Zhang
Hongjiang Wei
23
0
0
25 Sep 2024
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
Chinmay Rao
M. Osch
Nicola Pezzotti
J. de Bresser
Laurens Beljaards
J. Meineke
E. Weerdt
Huangling Lu
M. Doneva
Marius Staring
28
1
0
20 Sep 2024
MambaRecon: MRI Reconstruction with Structured State Space Models
MambaRecon: MRI Reconstruction with Structured State Space Models
Yilmaz Korkmaz
V. Patel
Mamba
35
2
0
19 Sep 2024
Multi-frequency Electrical Impedance Tomography Reconstruction with
  Multi-Branch Attention Image Prior
Multi-frequency Electrical Impedance Tomography Reconstruction with Multi-Branch Attention Image Prior
Hao Fang
Zhe Liu
Yi Feng
Zhen Qiu
Pierre Bagnaninchi
Yunjie Yang
18
1
0
17 Sep 2024
MOST: MR reconstruction Optimization for multiple downStream Tasks via
  continual learning
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning
Hwihun Jeong
S. Chun
Jongho Lee
36
2
0
16 Sep 2024
SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR
  Imaging
SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging
Yuliang Zhu
Jing Cheng
Zhuo-Xu Cui
Jianfeng Ren
Chengbo Wang
Dong Liang
21
2
0
13 Sep 2024
Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of
  Data-Driven Optimization Routine
Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of Data-Driven Optimization Routine
Jialong Li
Zhicheng Zhang
Yunwei Chen
Qiqi Lu
Ye Wu
Xiaoming Liu
QianJin Feng
Yanqiu Feng
Xinyuan Zhang
DiffM
MedIm
26
0
0
04 Sep 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures
Michael Unser
Alexis Goujon
Stanislas Ducotterd
24
2
0
23 Aug 2024
Learning Regularization for Graph Inverse Problems
Learning Regularization for Graph Inverse Problems
Moshe Eliasof
Md Shahriar Rahim Siddiqui
Carola-Bibiane Schönlieb
Eldad Haber
GNN
34
0
0
19 Aug 2024
Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors
Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors
Shoujin Huang
Guanxiong Luo
Yuwan Wang
Kexin Yang
Lingyan Zhang
...
Hua Guo
Min Wang
Mengye Lyu
Lingyan Zhang
Mengye Lyu
MedIm
47
1
0
31 Jul 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Frederik Hoppe
C. M. Verdun
Hannah Laus
Felix Krahmer
Holger Rauhut
UQCV
22
1
0
18 Jul 2024
Towards Physics-informed Cyclic Adversarial Multi-PSF Lensless Imaging
Towards Physics-informed Cyclic Adversarial Multi-PSF Lensless Imaging
Abeer Banerjee
Sanjay Singh
22
0
0
09 Jul 2024
Attention Incorporated Network for Sharing Low-rank, Image and K-space
  Information during MR Image Reconstruction to Achieve Single Breath-hold
  Cardiac Cine Imaging
Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging
Siying Xu
Kerstin Hammernik
Andreas Lingg
Jens Kuebler
Patrick Krumm
Daniel Rueckert
S. Gatidis
T. Kuestner
31
1
0
03 Jul 2024
Highly Accelerated MRI via Implicit Neural Representation Guided
  Posterior Sampling of Diffusion Models
Highly Accelerated MRI via Implicit Neural Representation Guided Posterior Sampling of Diffusion Models
Jiayue Chu
Chenhe Du
Xiyue Lin
Yuyao Zhang
Hongjiang Wei
MedIm
DiffM
34
1
0
03 Jul 2024
Accelerating Longitudinal MRI using Prior Informed Latent Diffusion
Accelerating Longitudinal MRI using Prior Informed Latent Diffusion
Yonatan Urman
Zachary Shah
Ashwin Kumar
Bruno P. Soares
K. Setsompop
MedIm
26
0
0
29 Jun 2024
INFusion: Diffusion Regularized Implicit Neural Representations for 2D
  and 3D accelerated MRI reconstruction
INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction
Y. Arefeen
Brett Levac
Zach Stoebner
Jonathan I. Tamir
MedIm
16
1
0
19 Jun 2024
Dreamguider: Improved Training free Diffusion-based Conditional
  Generation
Dreamguider: Improved Training free Diffusion-based Conditional Generation
Nithin Gopalakrishnan Nair
Vishal M. Patel
30
2
0
04 Jun 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction
  Using Deep Learning
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning
Wanyu Bian
30
5
0
03 Jun 2024
End-to-End Model-based Deep Learning for Dual-Energy Computed Tomography
  Material Decomposition
End-to-End Model-based Deep Learning for Dual-Energy Computed Tomography Material Decomposition
Jiandong Wang
Alessandro Perelli
MedIm
23
0
0
01 Jun 2024
MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with
  Multi-sparse-view and Multi-scale Refinement-correction
MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correction
Xiaohong Fan
Ke-long Chen
Huaming Yi
Yin Yang
Jianping Zhang
41
0
0
27 May 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
22
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
32
3
0
05 May 2024
Reference-Free Image Quality Metric for Degradation and Reconstruction
  Artifacts
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts
Han Cui
A. D. Goyeneche
Efrat Shimron
Boyuan Ma
Michael Lustig
23
0
0
01 May 2024
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency
  to facilitate Artificial Intelligence applications from acquisition to
  analysis in Magnetic Resonance Imaging
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging
D. Karkalousos
Ivana Išgum
Henk A. Marquering
M. Caan
25
0
0
30 Apr 2024
FMint: Bridging Human Designed and Data Pretrained Models for
  Differential Equation Foundation Model
FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model
Zezheng Song
Jiaxin Yuan
Haizhao Yang
AI4CE
38
16
0
23 Apr 2024
Invertible Diffusion Models for Compressed Sensing
Invertible Diffusion Models for Compressed Sensing
Bin Chen
Zhenyu Zhang
Weiqi Li
Chen Zhao
Jiwen Yu
Shijie Zhao
Jie Chen
Jian Andrew Zhang
DiffM
47
5
0
25 Mar 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
31
9
0
15 Mar 2024
1234567
Next