MoDL: Model Based Deep Learning Architecture for Inverse Problems

7 December 2017

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

44 / 344 papers shown

Title
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms S. A. Hosseini Burhaneddin Yaman S. Moeller Mingyi Hong Mehmet Akçakaya AI4CE 16 8 0 16 Dec 2019
$Σ$ -net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction Jo Schlemper C. Qin Jinming Duan Ronald M. Summers Kerstin Hammernik 9 12 0 11 Dec 2019
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop Michael R. Kellman Jonathan I. Tamir E. Bostan Michael Lustig Laura Waller SupR 13 56 0 11 Dec 2019
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR) Aniket Pramanik H. Aggarwal M. Jacob 11 58 0 07 Dec 2019
Pyramid Convolutional RNN for MRI Image Reconstruction Eric Z. Chen Puyang Wang Xiao Chen Terrence Chen Shanhui Sun 13 41 0 02 Dec 2019
Calibrationless Parallel MRI using Model based Deep Learning (C-MODL) Aniket Pramanik H. Aggarwal M. Jacob MedIm 14 2 0 27 Nov 2019
Accelerating cardiac cine MRI using a deep learning-based ESPIRiT reconstruction Christopher M. Sandino P. Lai S. Vasanawala Joseph Y. Cheng 11 3 0 13 Nov 2019
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction H. Aggarwal M. Jacob 9 5 0 06 Nov 2019
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model Mario O. Malavé C. Baron Srivathsan P. Koundinyan Christopher M. Sandino Frank Ong Joseph Y. Cheng D. Nishimura 18 42 0 24 Oct 2019
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data Burhaneddin Yaman S. A. Hosseini S. Moeller J. Ellermann K. Uğurbil Mehmet Akçakaya OOD 21 80 0 21 Oct 2019
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems Byeongsu Sim Gyutaek Oh Sungjun Lim Chanyong Jung J. C. Ye GAN MedIm 18 22 0 25 Sep 2019
pISTA-SENSE-ResNet for Parallel MRI Reconstruction Tieyuan Lu Xinlin Zhang Yihui Huang Yonggui Yang Gang Guo L. Bao F. Huang D. Guo X. Qu 8 37 0 24 Sep 2019
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI Yiling Liu Qiegen Liu Minghui Zhang Qingxin Yang Shanshan Wang Dong Liang 30 61 0 24 Sep 2019
MRI Reconstruction Using Deep Bayesian Estimation Guanxiong Luo Na Zhao Wenhao Jiang E. Hui Peng Cao MedIm 13 58 0 03 Sep 2019
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry Sungjun Lim Hyoungjun Park Sang-Eun Lee Sunghoe Chang J. C. Ye 16 40 0 26 Aug 2019
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset Shanshan Wang Yanxia Chen Taohui Xiao Ziwen Ke Qiegen Liu Hairong Zheng 15 4 0 24 Aug 2019
Model Learning: Primal Dual Networks for Fast MR imaging Jing Cheng Haifeng Wang L. Ying Dong Liang MedIm 20 67 0 07 Aug 2019
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging Yanxia Chen Taohui Xiao Cheng Li Qiegen Liu Shanshan Wang OOD MedIm 17 25 0 06 Aug 2019
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization Il Yong Chun Xuehang Zheng Y. Long Jeffrey A. Fessler 3DV OOD 14 31 0 04 Aug 2019
Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo Hengrong Lan Daohuai Jiang Changchun Yang Fei Gao 16 19 0 02 Aug 2019
Momentum-Net: Fast and convergent iterative neural network for inverse problems Il Yong Chun Zhengyu Huang Hongki Lim Jeffrey A. Fessler 16 81 0 26 Jul 2019
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks Dong Liang Jing Cheng Ziwen Ke L. Ying 22 56 0 26 Jul 2019
Deep-learning-based Optimization of the Under-sampling Pattern in MRI C. D. Bahadir Alan Q. Wang Adrian V. Dalca M. Sabuncu 11 9 0 26 Jul 2019
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction Jinming Duan Jo Schlemper C. Qin C. Ouyang Wenjia Bai C. Biffi Ghalib A. Bello B. Statton D. O’Regan Daniel Rueckert 16 95 0 19 Jul 2019
MRI Super-Resolution with Ensemble Learning and Complementary Priors Qing Lyu Hongming Shan Ge Wang MedIm SupR 16 96 0 06 Jul 2019
Model-based Deep Medical Imaging: the roadmap of generalizing iterative reconstruction model using deep learning Jing Cheng Haifeng Wang Yanjie Zhu Qiegen Liu Qiyang Zhang ... Zhanli Hu Xin Liu Hairong Zheng L. Ying Dong Liang OOD MedIm 16 5 0 19 Jun 2019
Improved low-count quantitative PET reconstruction with an iterative neural network Hongki Lim Il Yong Chun Y. Dewaraja Jeffrey A. Fessler 9 7 0 05 Jun 2019
Deep Iterative Reconstruction for Phase Retrieval Çaǧatay Işıl F. Oktem Aykut Koç 17 46 0 25 Apr 2019
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space T. Kim Pratyush Garg Justin P. Haldar 20 58 0 20 Apr 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning S. Ravishankar J. C. Ye Jeffrey A. Fessler 10 238 0 04 Apr 2019
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction Florian Knoll Kerstin Hammernik Chi Zhang S. Moeller T. Pock D. Sodickson Mehmet Akçakaya OOD 24 263 0 01 Apr 2019
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning Joseph Y. Cheng Feiyu Chen Christopher M. Sandino Morteza Mardani John M. Pauly S. Vasanawala 13 12 0 19 Mar 2019
CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint Ziwen Ke Shanshan Wang Huitao Cheng L. Ying Qiegen Liu Hairong Zheng Dong Liang MedIm 19 5 0 18 Jan 2019
Self-Supervised Deep Active Accelerated MRI Kyong Hwan Jin M. Unser K. M. Yi OOD MedIm 23 60 0 14 Jan 2019
Neumann Networks for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 8 24 0 13 Jan 2019
Off-the-grid model based deep learning (O-MODL) Aniket Pramanik H. Aggarwal M. Jacob 16 11 0 27 Dec 2018
MoDL-MUSSELS: Model-Based Deep Learning for Multi-Shot Sensitivity Encoded Diffusion MRI H. Aggarwal M. Mani M. Jacob MedIm 11 44 0 19 Dec 2018
An overview of deep learning in medical imaging focusing on MRI A. Lundervold A. Lundervold OOD 6 1,605 0 25 Nov 2018
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training Shanshan Wang Ziwen Ke Huitao Cheng Seng Jia L. Ying Hairong Zheng Dong Liang 17 118 0 30 Sep 2018
Highly Accelerated Multishot EPI through Synergistic Machine Learning and Joint Reconstruction B. Bilgiç I. Chatnuntawech M. Manhard Q. Tian C. Liao S. Cauley S. Huang J. Polimeni L. Wald K. Setsompop 6 1 0 08 Aug 2018
k-Space Deep Learning for Accelerated MRI Yoseob Han Leonard Sunwoo J. C. Ye 38 188 0 10 May 2018
NETT: Solving Inverse Problems with Deep Neural Networks Housen Li Johannes Schwab Stephan Antholzer Markus Haltmeier 22 238 0 28 Feb 2018
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction C. Qin Jo Schlemper Jose Caballero Anthony N. Price Joseph V. Hajnal Daniel Rueckert MedIm 26 497 0 05 Dec 2017
MR image reconstruction using deep density priors K. Tezcan Christian F. Baumgartner R. Luechinger K. Pruessmann E. Konukoglu 19 135 0 30 Nov 2017