Image reconstruction by domain transform manifold learning

28 April 2017

Papers citing "Image reconstruction by domain transform manifold learning"

50 / 149 papers shown

Title
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 35 56 0 26 Jan 2022
Universal Generative Modeling for Calibration-free Parallel Mr Imaging Wanqing Zhu Bing Guan Shanshan Wang Minghui Zhang Qiegen Liu MedIm 30 4 0 25 Jan 2022
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation Dongjie Wang Yanjie Fu Kunpeng Liu Fanglan Chen Pengyang Wang Chang-Tien Lu 32 19 0 26 Dec 2021
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis Yutong Chen Carola-Bibiane Schönlieb Pietro Lio T. Leiner Pier Luigi Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 30 87 0 23 Dec 2021
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information Jiahao Huang Weiping Ding Jun Lv Jingwen Yang Hao Dong Javier Del Ser Jun Xia Tiaojuan Ren Stephen Wong Guang Yang MedIm 31 18 0 10 Dec 2021
Specificity-Preserving Federated Learning for MR Image Reconstruction Chun-Mei Feng Yu-bao Yan Shanshan Wang Yong Xu Ling Shao Huazhu Fu OOD 48 78 0 09 Dec 2021
Sparse-View CT Reconstruction using Recurrent Stacked Back Projection Wenrui Li G. Buzzard Charles A. Bouman 33 3 0 09 Dec 2021
Automated Side Channel Analysis of Media Software with Manifold Learning Yuanyuan Yuan Qi Pang Shuai Wang AAML 40 18 0 09 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 42 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 25 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 Lei Tian Ulugbek Kamilov 21 80 0 27 Nov 2021
TransMorph: Transformer for unsupervised medical image registration Junyu Chen Eric C. Frey Yufan He W. Paul Segars Ye Li Yong Du ViT MedIm 46 307 0 19 Nov 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 56 512 0 15 Nov 2021
A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography L. Koutsantonis Tiago Carneiro Emmanuel Kieffer Frédéric Pinel Pascal Bouvry 21 0 0 19 Oct 2021
$AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging$ AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging Yudong Yao Henry Chan S. Sankaranarayanan Prasanna Balaprakash R. Harder Mathew J. Cherukara 25 46 0 28 Sep 2021
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities Wanyu Bian Yunmei Chen X. Ye 49 16 0 20 Sep 2021
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction Liyue Shen John M. Pauly Lei Xing 40 188 0 24 Aug 2021
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers Abinash Nayak 26 0 0 21 Aug 2021
From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds Tianyu Wang Yifeng Huang Didong Li 20 8 0 17 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 29 34 0 22 Jul 2021
Multi-Modal Transformer for Accelerated MR Imaging Chun-Mei Feng Yu-bao Yan Geng Chen Yong Xu Ling Shao Huazhu Fu MedIm ViT 36 104 0 27 Jun 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers Yilmaz Korkmaz S. Dar Mahmut Yurt Muzaffer Özbey Tolga Çukur ViT MedIm 32 191 0 15 May 2021
End-to-End Sequential Sampling and Reconstruction for MRI Tianwei Yin Zihui Wu He Sun Adrian Dalca Yisong Yue Katherine Bouman 21 19 0 13 May 2021
The Modulo Radon Transform: Theory, Algorithms and Applications Matthias Beckmann Ayush Bhandari Felix Krahmer 21 16 0 10 May 2021
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation Itzik Malkiel Sangtae Ahn V. Taviani A. Menini Lior Wolf C. Hardy MedIm 15 0 0 05 Apr 2021
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI Yamin Arefeen Onur Beker Jaejin Cho Heng Yu E. Adalsteinsson B. Bilgiç 37 31 0 02 Apr 2021
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems William Herzberg D. Rowe A. Hauptmann S. Hamilton GNN MedIm AI4CE 18 33 0 28 Mar 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution Omer San Adil Rasheed T. Kvamsdal 55 50 0 26 Mar 2021
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors S. Dar Mahmut Yurt Tolga Çukur 25 4 0 13 Mar 2021
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction Zaccharie Ramzi Jean-Luc Starck P. Ciuciu 42 18 0 05 Jan 2021
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction Javier Montalt-Tordera V. Muthurangu A. Hauptmann J. Steeden AI4CE 29 40 0 09 Dec 2020
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction Matthew Muckley Bruno Riemenschneider A. Radmanesh Sunwoo Kim Geunu Jeong ... Anuroop Sriram Zhengnan Huang N. Yakubova Yvonne W. Lui Florian Knoll OOD 21 45 0 09 Dec 2020
Bayesian Image Reconstruction using Deep Generative Models Razvan Marinescu Daniel Moyer Polina Golland OOD DiffM 23 39 0 08 Dec 2020
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval Eunju Cha Chanseok Lee Mooseok Jang J. C. Ye 38 15 0 20 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 37 101 0 09 Nov 2020
A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasound A. Stanziola Simon Arridge B. Cox B. Treeby 16 33 0 29 Oct 2020
CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels Wenjun Xia Zexin Lu Yongqiang Huang Yan Liu Hu Chen Jiliu Zhou Yi Zhang 21 9 0 27 Oct 2020
Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging Fangshu Yang Thanh-an Michel Pham N. Brandenberg Matthias Lütolf Jianwei Ma M. Unser 15 35 0 24 Sep 2020
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN Gyutaek Oh Byeongsu Sim Hyungjin Chung Leonard Sunwoo J. C. Ye OOD MedIm 30 69 0 29 Aug 2020
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning Dongjie Wang Yanjie Fu Pengyang Wang B. Huang Chang-Tien Lu 28 29 0 22 Aug 2020
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data Hyungjin Chung Eunju Cha Leonard Sunwoo J. C. Ye MedIm 28 26 0 04 Aug 2020
Active MR k-space Sampling with Reinforcement Learning Luis Villaseñor-Pineda Sumana Basu Adriana Romero Roberto Calandra M. Drozdzal 19 70 0 20 Jul 2020
Geometry Constrained Weakly Supervised Object Localization Weizeng Lu Xi Jia Weicheng Xie Linlin Shen Yicong Zhou Jinming Duan 6 85 0 19 Jul 2020
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction Mélanie Bernhardt V. Vishnevskiy R. Rau O. Goksel OOD 22 23 0 25 Jun 2020
Bayesian Conditional GAN for MRI Brain Image Synthesis Gengyan Zhao M. Meyerand R. Birn MedIm UQCV 18 4 0 25 May 2020
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images Yixing Huang Alexander Preuhs M. Manhart G. Lauritsch Andreas Maier MedIm 27 5 0 20 May 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 25 521 0 12 May 2020
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction Nicola Pezzotti Sahar Yousefi Mohamed S. Elmahdy J. V. Gemert C. Schulke ... Sergey Kastryulin B. Lelieveldt M. Osch E. Weerdt Marius Staring 27 97 0 15 Apr 2020
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction Eunju Cha Gyutaek Oh J. C. Ye 27 11 0 17 Mar 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods Daniel Otero Baguer Johannes Leuschner Maximilian Schmidt 29 186 0 10 Mar 2020