MoDL: Model Based Deep Learning Architecture for Inverse Problems

7 December 2017

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

50 / 344 papers shown

Title
Adaptive Diffusion Priors for Accelerated MRI Reconstruction Alper Gungor S. Dar cSaban Ozturk Yilmaz Korkmaz Gokberk Elmas Muzaffer Özbey Tolga cCukur DiffM MedIm 27 184 0 12 Jul 2022
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction Balamurali Murugesan Sriprabha Ramanarayanan S. Vijayarangan Keerthi Ram N. Jagannathan M. Sivaprakasam 16 9 0 05 Jul 2022
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging Canberk Ekmekci Müjdat Çetin UQCV 19 11 0 02 Jul 2022
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction Jiangpeng Yan Chen-Ping Yu Hanbo Chen Zhe Xu Junzhou Huang Xiu Li Jianhua Yao 17 0 0 15 Jun 2022
ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance Image Reconstructions Samira Vafay Eslahi Jian Tao J. Ji 13 1 0 15 Jun 2022
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning Martin Genzel Ingo Gühring Jan Macdonald M. März 25 25 0 14 Jun 2022
Memory-efficient model-based deep learning with convergence and robustness guarantees Aniket Pramanik M. Zimmerman M. Jacob 3DV 11 13 0 06 Jun 2022
Recursive Deformable Image Registration Network with Mutual Attention Jian-Qing Zheng Ziyang Wang Baoru Huang N. Lim T. Vincent B. Papież MedIm 45 9 0 04 Jun 2022
Dynamic MRI using Learned Transform-based Tensor Low-Rank Network (LT $^2$ LR-Net) Yinghao Zhang Peng Li Yue Hu MedIm 20 4 0 02 Jun 2022
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data S. Liang Anish Lahiri S. Ravishankar 13 2 0 01 Jun 2022
Online Deep Equilibrium Learning for Regularization by Denoising Jiaming Liu Xiaojian Xu Weijie Gan S. Shoushtari Ulugbek S. Kamilov 31 26 0 25 May 2022
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise Charles Millard M. Chiew 32 32 0 20 May 2022
An Interpretable MRI Reconstruction Network with Two-grid-cycle Correction and Geometric Prior Distillation Xiaohong Fan Yin Yang Ke-long Chen Jianping Zhang Ke Dong MedIm 21 13 0 14 May 2022
PS-Net: Learned Partially Separable Model for Dynamic MR Imaging Chentao Cao Zhuoxu Cui Qingyong Zhu Congcong Liu Dong Liang Yanjie Zhu 19 0 0 09 May 2022
WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction Zongjiang Tu Die Liu Xiaoqing Wang Chenbo Jiang Pengwen Zhu Minghui Zhang Shanshan Wang Dong Liang Qiegen Liu MedIm 35 8 0 08 May 2022
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising Peizhou Huang C. Zhang Xiaoliang Zhang Xiaojuan Li Liang Dong L. Ying 33 14 0 07 May 2022
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction Zihao Chen Yuhua Chen Yibin Xie Debiao Li A. Christodoulou 3DV 21 15 0 03 May 2022
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI Jingfen Xie Jian Andrew Zhang Yongbing Zhang Xiangyang Ji 17 28 0 24 Apr 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction Beliz Gunel Arda Sahiner Arjun D Desai Akshay S. Chaudhari S. Vasanawala Mert Pilanci John M. Pauly MedIm 14 7 0 21 Apr 2022
Accelerated MRI With Deep Linear Convolutional Transform Learning Hongyi Gu Burhaneddin Yaman S. Moeller Il Yong Chun Mehmet Akçakaya MedIm 24 0 0 17 Apr 2022
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging Hui Tao Haifeng Wang Shanshan Wang Dong Liang Xiaoling Xu Qiegen Liu 32 2 0 05 Apr 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers Jiahao Huang Yingying Fang Yang Nan Huanjun Wu Yinzhe Wu ... Zidong Wang Pietro Lio' Daniel Rueckert Yonina C. Eldar Guang Yang OOD MedIm 31 3 0 01 Apr 2022
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction Timothy C. Bakker Matthew Muckley Adriana Romero Soriano M. Drozdzal Luis Villaseñor-Pineda 12 18 0 30 Mar 2022
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging Kerstin Hammernik Thomas Kustner Burhaneddin Yaman Zhengnan Huang Daniel Rueckert Florian Knoll Mehmet Akçakaya PINN MedIm AI4CE 24 69 0 23 Mar 2022
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction Zongjiang Tu Chenbo Jiang Yu Guan Shanshan Wang Jijun Liu Qiegen Liu Dong Liang MedIm 32 16 0 21 Mar 2022
Multimodal learning-based inversion models for the space-time reconstruction of satellite-derived geophysical fields Ronan Fablet Bertrand Chapron 13 4 0 20 Mar 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 21 11 0 18 Mar 2022
Rethinking the optimization process for self-supervised model-driven MRI reconstruction Weijian Huang Cheng Li Wen-Jie Fan Yongjin Zhou Qiegen Liu Hairong Zheng Shanshan Wang 31 3 0 18 Mar 2022
Deep learning-based reconstruction of highly accelerated 3D MRI Sangtae Ahn U. Wollner Graeme Mckinnon Isabelle Jansen R. Brada ... J. DeMarco Robert Y Shih J. Trzasko C. Hardy T. Foo 11 3 0 09 Mar 2022
Undersampled MRI Reconstruction with Side Information-Guided Normalisation Xinwen Liu Jing Wang Cheng-Fang Peng Shekhar S. Chandra Feng Liu S. Kevin Zhou OOD 21 6 0 07 Mar 2022
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction Yutong Xie Quanzheng Li DiffM MedIm 26 87 0 05 Mar 2022
Deep, Deep Learning with BART Moritz Blumenthal Guanxiong Luo Martin Schilling H. C. M. Holme M. Uecker 14 15 0 28 Feb 2022
Training Adaptive Reconstruction Networks for Blind Inverse Problems Alban Gossard P. Weiss MedIm 24 5 0 23 Feb 2022
Monotonically Convergent Regularization by Denoising Yuyang Hu Jiaming Liu Xiaojian Xu Ulugbek S. Kamilov 19 8 0 10 Feb 2022
Federated Learning of Generative Image Priors for MRI Reconstruction Gokberk Elmas S. Dar Yilmaz Korkmaz Emir Ceyani Burak Susam Muzaffer Özbey Salman Avestimehr Tolga cCukur FedML MedIm AI4CE 11 88 0 08 Feb 2022
Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction Jaejin Cho B. Gagoski Taehyung Kim Q. Tian Stephen R. Frost I. Chatnuntawech B. Bilgiç 23 8 0 06 Feb 2022
Hyper-Convolutions via Implicit Kernels for Medical Imaging Tianyu Ma Alan Q. Wang Adrian V. Dalca M. Sabuncu SSL 16 1 0 06 Feb 2022
PARCEL: Physics-based Unsupervised Contrastive Representation Learning for Multi-coil MR Imaging Shanshan Wang Ruo-Nan Wu Cheng Li J. Zou Ziyao Zhang Qiegen Liu Yan Xi Hairong Zheng SSL 12 17 0 03 Feb 2022
Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models Guanxiong Luo Moritz Blumenthal Martin Heide M. Uecker DiffM MedIm 14 69 0 03 Feb 2022
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction Bo Zhou Neel Dey Jo Schlemper S. Salehi Chi Liu James S. Duncan M. Sofka MedIm 30 56 0 26 Jan 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis Yutong Chen Carola-Bibiane Schönlieb Pietro Lio' T. Leiner P. Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 24 87 0 23 Dec 2021
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI Zhuoxu Cui Jing Cheng Qi Zhu Yuanyuan Liu Seng Jia ... Ziwen Ke Wenqi Huang Haifeng Wang Yanjie Zhu Dong Liang 28 8 0 18 Dec 2021
Learned Half-Quadratic Splitting Network for MR Image Reconstruction Bingyu Xin Timothy S. Phan L. Axel Dimitris N. Metaxas 14 7 0 17 Dec 2021
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI Zi Wang Chao Qian D. Guo Hongwei Sun Rushuai Li Bo Zhao X. Qu 31 50 0 09 Dec 2021
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction D. Karkalousos S. Noteboom H. Hulst F. Vos M. Caan OOD AI4CE 17 10 0 30 Nov 2021
$Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields$ Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields Renhao Liu Yu Sun Jiabei Zhu L. Tian Ulugbek Kamilov 11 78 0 27 Nov 2021
Improved Model based Deep Learning using Monotone Operator Learning (MOL) Aniket Pramanik M. Jacob 22 7 0 22 Nov 2021
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP Maneesh John H. Aggarwal Qing Zou M. Jacob 20 1 0 21 Nov 2021
Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of Rigid Motion Artifact in Brain MRI M. A. Al-masni S. Lee Jaeuk Yi Sewook Kim Sung-Min Gho Young Hun Choi Dong-Hyun Kim MedIm 11 27 0 11 Nov 2021
Survey of Deep Learning Methods for Inverse Problems S. Kamyab Zihreh Azimifar Rasool Sabzi Paul Fieguth 14 3 0 07 Nov 2021