Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning

4 April 2019

Papers citing "Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning"

20 / 20 papers shown

Title
Configurable Multilingual ASR with Speech Summary Representations Harrison Zhu Ivan Fung Yingke Zhu Lahiru Samarakoon 26 6 0 06 Oct 2024
Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks Daniel A. Serino Marc L. Klasky B. Nadiga Xiaojian Xu Artur Dubrawski MedIm AI4CE 17 0 0 02 Aug 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 77 7 0 29 May 2024
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition Xitong Zhang Ismail R. Alkhouri Rongrong Wang 33 0 0 06 May 2024
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction Hanyu Chen Zhixiu Hao Lin Guo Liying Xiao 39 1 0 14 Mar 2024
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences Zhishen Huang 28 1 0 28 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
Deep Physics-Guided Unrolling Generalization for Compressed Sensing Bin Chen Jie Song Jingfen Xie Jian Andrew Zhang AI4CE 11 14 0 18 Jul 2023
ICRICS: Iterative Compensation Recovery for Image Compressive Sensing Honggui Li M. Trocan Dimitri Galayko Mohamad Sawan 13 2 0 19 Jul 2022
Content-aware Scalable Deep Compressed Sensing Bin Chen Jian Andrew Zhang 21 54 0 19 Jul 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 25 9 0 02 Mar 2022
Alternative design of DeepPDNet in the context of image restoration Mingyuan Jiu N. Pustelnik 25 2 0 20 Feb 2022
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems Sayantan Bhadra Umberto Villa M. Anastasio MedIm 28 3 0 10 Feb 2022
Sparse-View CT Reconstruction using Recurrent Stacked Back Projection Wenrui Li G. Buzzard Charles A. Bouman 25 3 0 09 Dec 2021
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features Maliha Hossain B. Nadiga O. Korobkin M. Klasky J. L. Schei J. Burby Michael T. McCann T. Wilcox Soumi De Charles A. Bouman AI4CE MedIm 6 7 0 02 Dec 2021
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI Zhishen Huang S. Ravishankar MedIm 55 9 0 17 Nov 2021
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning Pengfei Guo Puyang Wang Jinyuan Zhou Shanshan Jiang Vishal M. Patel FedML OOD 30 143 0 03 Mar 2021
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian V. Dalca M. Sabuncu 28 26 0 29 Jul 2020
A Cone-Beam X-Ray CT Data Collection designed for Machine Learning H. der Sarkissian F. Lucka Maureen van Eijnatten G. Colacicco S. Coban K. Batenburg 6 49 0 12 May 2019
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR Yoseob Han J. Yoo J. C. Ye MedIm OOD 100 231 0 03 Mar 2017