Image reconstruction by domain transform manifold learning

28 April 2017

Papers citing "Image reconstruction by domain transform manifold learning"

50 / 149 papers shown

Title
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 40 0 0 05 May 2025
Continuous Filtered Backprojection by Learnable Interpolation Network Hui Lin D. Zeng Qi Xie Zerui Mao Jianhua Ma Deyu Meng MedIm 32 0 0 03 May 2025
Physics-Driven Neural Compensation For Electrical Impedance Tomography Chuyu Wang Huiting Deng Dong Liu 32 0 0 25 Apr 2025
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning Hwihun Jeong S. Chun Jongho Lee 38 2 0 16 Sep 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning Wanyu Bian 47 5 0 03 Jun 2024
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction Jiayang Shi Junyi Zhu D. Pelt K. Batenburg Matthew B. Blaschko 51 4 0 03 May 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 49 4 0 18 Jan 2024
Efficient Physics-Based Learned Reconstruction Methods for Real-Time 3D Near-Field MIMO Radar Imaging Irfan Manisali Okyanus Oral F. Oktem 32 5 0 28 Dec 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 32 23 0 21 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 36 11 0 22 Oct 2023
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data Thomas Germer Jan Robine S. Konietzny Stefan Harmeling Tobias Uelwer MedIm 25 6 0 13 Sep 2023
TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction Zhenghong Zhou Huangxuan Zhao Jiemin Fang D. Xiang Lei Chen Lingxia Wu Feihong Wu Wenyu Liu Chuansheng Zheng Xinggang Wang 38 6 0 05 Sep 2023
Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction Wanyu Bian Albert Jang F. Liu DiffM 28 17 0 02 Sep 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 38 5 0 05 Aug 2023
Stretched sinograms for limited-angle tomographic reconstruction with neural networks Kyle L. Luther Sebastian Seung 21 0 0 16 Jun 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen Matthew S. Rosen UQCV OOD 17 2 0 12 May 2023
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction Bo Zhou Jo Schlemper Neel Dey Seyed Sadegh Mohseni Salehi Kevin Sheth Chi Liu James S. Duncan M. Sofka OOD 45 17 0 18 Feb 2023
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI M. B. Lorenzana Shekhar S. Chandra Feng Liu 33 1 0 17 Feb 2023
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN S. Chatterjee Pavan Tummala Oliver Speck A. Nürnberger 24 10 0 09 Feb 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R. Singhal Mukund Sudarshan Anish Mahishi S. Kaushik L. Ginocchio A. Tong H. Chandarana D. Sodickson Rajesh Ranganath S. Chopra 36 5 0 27 Jan 2023
Cross-domain Self-supervised Framework for Photoacoustic Computed Tomography Image Reconstruction Hengrong Lan Lijie Huang Zhiqiang Li Jing Lv Jianwen Luo ViT OOD 40 1 0 17 Jan 2023
Fully 3D Implementation of the End-to-end Deep Image Prior-based PET Image Reconstruction Using Block Iterative Algorithm F. Hashimoto Yuya Onishi K. Ote H. Tashima T. Yamaya MedIm 25 13 0 22 Dec 2022
Deep unfolding as iterative regularization for imaging inverse problems Zhuoxu Cui Qingyong Zhu Jing Cheng Dong Liang 34 5 0 24 Nov 2022
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 29 26 0 22 Nov 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical Images Luis Oala Marco Aversa Gabriel Nobis Kurt Willis Yoan Neuenschwander ... E. Pomarico Wojciech Samek Roderick Murray-Smith Christoph Clausen B. Sanguinetti 36 5 0 04 Nov 2022
Stable Deep MRI Reconstruction using Generative Priors Martin Zach Florian Knoll Thomas Pock OOD MedIm DiffM 38 17 0 25 Oct 2022
DEEP $^2$ : Deep Learning Powered De-scattering with Excitation Patterning Navodini Wijethilake Mithunjha Anandakumar Cheng Zheng Peter T. C. So Murat Yildirim D. Wadduwage 24 1 0 19 Oct 2022
A scan-specific unsupervised method for parallel MRI reconstruction via implicit neural representation Rui-jun Feng Qing Wu Yuyao Zhang Hongjiang Wei 24 2 0 19 Oct 2022
Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees Weijie Gan Chunwei Ying Parna Eshraghi Tongyao Wang C. Eldeniz Yuyang Hu Jiaming Liu Yasheng Chen Hongyu An Ulugbek S. Kamilov 45 4 0 07 Oct 2022
Transformer Meets Boundary Value Inverse Problems Ruchi Guo Shuhao Cao Long Chen MedIm 40 21 0 29 Sep 2022
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction Zhuoxu Cui Chentao Cao Shaonan Liu Qingyong Zhu Jing Cheng Haifeng Wang Yanjie Zhu Dong Liang DiffM MedIm 60 36 0 02 Sep 2022
Towards Sparsified Federated Neuroimaging Models via Weight Pruning Dimitris Stripelis Umang Gupta Nikhil J. Dhinagar Greg Ver Steeg Paul M. Thompson J. Ambite FedML 34 0 0 24 Aug 2022
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging J. Zou Cheng Li Seng Jia Shanshan Wang Tingrui Pei Hairong Zheng Shanshan Wang 38 14 0 08 Aug 2022
Multi-branch Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction Mevan Ekanayake Kamlesh Pawar Mehrtash Harandi Gary Egan Zhaolin Chen ViT MedIm 32 7 0 18 Jul 2022
Adaptive Diffusion Priors for Accelerated MRI Reconstruction Alper Gungor S. Dar cSaban Ozturk Yilmaz Korkmaz Gokberk Elmas Muzaffer Özbey Tolga cCukur DiffM MedIm 43 184 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 18 9 0 05 Jul 2022
AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound Imaging for Medical Ultrasound Farnaz Khun Jush M. Biele P. Dueppenbecker Andreas Maier OOD 30 2 0 04 Jul 2022
ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance Image Reconstructions Samira Vafay Eslahi Jian Tao J. Ji 18 1 0 15 Jun 2022
Stability of Image-Reconstruction Algorithms Pol del Aguila Pla Sebastian Neumayer M. Unser 26 10 0 14 Jun 2022
K-Space Transformer for Undersampled MRI Reconstruction Ziheng Zhao Tianjiao Zhang Weidi Xie Yanfeng Wang Ya Zhang MedIm 37 5 0 14 Jun 2022
Localized adversarial artifacts for compressed sensing MRI Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 31 4 0 10 Jun 2022
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise Charles Millard M. Chiew 45 33 0 20 May 2022
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising Peizhou Huang Chaoyi Zhang Xiaoliang Zhang Xiaojuan Li Liang Dong L. Ying 46 14 0 07 May 2022
List-Mode PET Image Reconstruction Using Deep Image Prior K. Ote F. Hashimoto Yuya Onishi Takashi Isobe Yasuomi Ouchi MedIm 30 19 0 28 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 44 3 0 01 Apr 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 34 25 0 28 Feb 2022
A Note on Machine Learning Approach for Computational Imaging Bin Dong 38 0 0 24 Feb 2022
Empirical Optimal Transport between Different Measures Adapts to Lower Complexity Shayan Hundrieser Thomas Staudt Axel Munk OT 46 22 0 21 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 29 89 0 08 Feb 2022
Posterior temperature optimized Bayesian models for inverse problems in medical imaging M. Laves Malte Tolle Alexander Schlaefer Sandy Engelhardt 48 10 0 02 Feb 2022