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
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir MedIm 64 9 0 13 Mar 2024
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation Jiahao Huang Liutao Yang Fanwen Wang Yang Nan Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb Daoqiang Zhang Guang Yang Mamba 31 14 0 28 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 31 0 0 19 Feb 2024
Evaluating Adversarial Robustness of Low dose CT Recovery Kanchana Vaishnavi Gandikota Paramanand Chandramouli Hannah Dröge Michael Moeller OOD AAML 23 3 0 18 Feb 2024
Inference Stage Denoising for Undersampled MRI Reconstruction Yuyang Xue Chen Qin Sotirios A. Tsaftaris OOD 16 0 0 12 Feb 2024
Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems Jyothi Rikabh Chand Mathews Jacob MedIm 13 1 0 08 Feb 2024
Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction S. Liang Evan Bell Qing Qu Rongrong Wang S. Ravishankar 25 5 0 06 Feb 2024
Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation Linghai Liu Shuaicheng Tong Lisa Zhao 21 1 0 03 Feb 2024
Deep Learning-based Intraoperative MRI Reconstruction Jon André Ottesen T. Storås S. Vatnehol G. Løvland Einar O. Vik-Mo ... Karoline Skogen C. Larsson A. Bjørnerud Inge Rasmus Groote-Eindbaas M. Caan AI4CE 21 0 0 23 Jan 2024
GLIMPSE: Generalized Local Imaging with MLPs AmirEhsan Khorashadizadeh Valentin Debarnot Tianlin Liu Ivan Dokmanić 30 1 0 01 Jan 2024
Efficient Physics-Based Learned Reconstruction Methods for Real-Time 3D Near-Field MIMO Radar Imaging Irfan Manisali Okyanus Oral F. Oktem 27 5 0 28 Dec 2023
Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging Okyanus Oral F. Oktem 22 1 0 26 Dec 2023
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data Kang Lin Reinhard Heckel OOD 29 5 0 16 Dec 2023
Robust MRI Reconstruction by Smoothed Unrolling (SMUG) S. Liang Van Hoang Minh Nguyen Jinghan Jia Ismail R. Alkhouri Sijia Liu S. Ravishankar 27 1 0 12 Dec 2023
Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI Hongyi Gu Chi Zhang Zidan Yu C. Rettenmeier V. A. Stenger Mehmet Akçakaya OOD 15 1 0 09 Dec 2023
Dual-Domain Multi-Contrast MRI Reconstruction with Synthesis-based Fusion Network Junwei Yang Pietro Lio' MedIm 16 1 0 01 Dec 2023
Local monotone operator learning using non-monotone operators: MnM-MOL Maneesh John Jyothi Rikabh Chand Mathews Jacob 16 1 0 01 Dec 2023
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering Itay Buchnik G. Sagi Nimrod Leinwand Yuval Loya Nir Shlezinger T. Routtenberg 32 5 0 28 Nov 2023
IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI Rui-jun Feng Qing Wu Jie Feng Huajun She Chunlei Liu Yuyao Zhang Hongjiang Wei 21 23 0 21 Nov 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI Yuheng Fan Hanxi Liao Shiqi Huang Yimin Luo Huazhu Fu Haikun Qi MedIm 29 18 0 19 Nov 2023
A statistical perspective on algorithm unrolling models for inverse problems Yves Atchadé Xinru Liu Qiuyun Zhu 14 0 0 10 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 31 11 0 22 Oct 2023
$k$ - $t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction Liping Zhang Weitian Chen 20 3 0 17 Oct 2023
JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI with a Self-Calibrating Score-Based Diffusion Model Lixuan Chen Xuanyu Tian Jiangjie Wu Rui-jun Feng Guoyan Lao Yuyao Zhang Hongjiang Wei MedIm DiffM 61 2 0 14 Oct 2023
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction Weijie Gan Qiuchen Zhai Michael T. McCann Cristina Garcia Cardona Ulugbek S. Kamilov B. Wohlberg 38 4 0 11 Oct 2023
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps F. Zimmermann A. Kofler 27 1 0 27 Sep 2023
Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI Chen Luo Huayu Wang Taofeng Xie Qiyu Jin Guoqing Chen Zhuoxu Cui Dong Liang 26 1 0 24 Sep 2023
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement Yuyang Xue Yuning Du Gianluca Carloni Eva Pachetti Connor Jordan Sotirios A. Tsaftaris 18 1 0 23 Sep 2023
CalibFPA: A Focal Plane Array Imaging System based on Online Deep-Learning Calibration Alper Gungor M. U. Bahçeci Yasin Ergen Ahmet Sozak O. O. Ekiz Tolga Yelboğa Tolga cCukur 24 0 0 20 Sep 2023
CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction Chengyan Wang Jun Lyu Shuo Wang Chen Qin Kunyuan Guo ... Wenjia Bai Xiahai Zhuang He Wang Jin Qin Xiaobo Qu 40 28 0 19 Sep 2023
vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems George Yiasemis N. Moriakov J. Sonke Jonas Teuwen 11 10 0 18 Sep 2023
Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems Huayu Wang Chen Luo Taofeng Xie Qiyu Jin Guoqing Chen Zhuoxu Cui Dong Liang AAML 18 2 0 17 Sep 2023
A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction Min Xiao Z. Wang Jiefeng Guo Xiaobo Qu OOD MedIm 35 0 0 13 Sep 2023
Implicit Neural Representation for MRI Parallel Imaging Reconstruction Hao Li Yusheng Zhou Jianan Liu Xiling Liu Tao Huang Zhihan Lv Weidong Cai 10 0 0 12 Sep 2023
$PRISTA-Net: Deep Iterative Shrinkage Thresholding Network for Coded Diffraction Patterns Phase Retrieval$ PRISTA-Net: Deep Iterative Shrinkage Thresholding Network for Coded Diffraction Patterns Phase Retrieval Aoxu Liu Xiaohong Fan Yin Yang Jianping Zhang 18 2 0 08 Sep 2023
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction Pengcheng Lei Faming Fang Guixu Zhang Ming Xu MedIm SupR 19 12 0 03 Sep 2023
Deep Learning and Inverse Problems A. Mohammad-Djafari Ning Chu Li Wang Lianggeng Yu AI4CE BDL PINN 28 0 0 02 Sep 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Zhishen Huang 25 1 0 28 Aug 2023
Deep Learning and Bayesian inference for Inverse Problems A. Mohammad-Djafari Ning Chu Li Wang Lianggeng Yu BDL AI4CE UQCV 17 0 0 28 Aug 2023
Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction Jaejin Cho Yohan Jun Xiaoqing Wang Caique Kobayashi B. Bilgiç DiffM MedIm 18 5 0 09 Aug 2023
Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction Xiaohong Fan Yin Yang Ke-long Chen Yujie Feng Jianping Zhang 20 6 0 06 Aug 2023
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets Frédéric Wang Han Qi A. D. Goyeneche Reinhard Heckel Michael Lustig Efrat Shimron 25 5 0 05 Aug 2023
Recovering high-quality FODs from a reduced number of diffusion-weighted images using a model-driven deep learning architecture Joseph Bartlett C. Davey L. Johnston Jinming Duan 9 5 0 28 Jul 2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction Z. Wang Xiaotong Yu Chengyan Wang Weibo Chen Jiazheng Wang ... C. Cai Zhongze Chen D. Guo Guang Yang X. Qu AI4CE 28 14 0 25 Jul 2023
Deep unrolling Shrinkage Network for Dynamic MR imaging Yinghao Zhang Xiaodi Li Weihang Li Yue Hu 24 4 0 19 Jul 2023
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models Yilmaz Korkmaz Tolga Çukur V. Patel MedIm DiffM 33 51 0 29 Jun 2023
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction Liping Zhang Xiaobo Li Weitian Chen 29 5 0 20 Jun 2023
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction F. Zimmermann C. Kolbitsch Patrick Schuenke A. Kofler 11 5 0 19 Jun 2023
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models Sriram Ravula Brett Levac A. Jalal Jonathan I. Tamir A. Dimakis DiffM MedIm 21 16 0 05 Jun 2023
Image Reconstruction for Accelerated MR Scan with Faster Fourier Convolutional Neural Networks Xiaohan Liu Yanwei Pang Xuebin Sun Yiming Liu Yonghong Hou Zhenchang Wang Xuelong Li MedIm 23 3 0 05 Jun 2023