v1v2v3 (latest)

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"

50 / 68 papers shown

Title
Configurable Multilingual ASR with Speech Summary Representations Harrison Zhu Ivan Fung Yingke Zhu Lahiru Samarakoon 70 5 0 06 Oct 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 136 9 0 29 May 2024
Two-layer Residual Sparsifying Transform Learning for Image Reconstruction Xuehang Zheng S. Ravishankar Y. Long M. Klasky B. Wohlberg MedIm 34 2 0 01 Jun 2019
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning Muhammad Usman Ghani W. C. Karl MedIm OOD 30 2 0 09 Apr 2019
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks Bihan Wen S. Ravishankar L. Pfister Y. Bresler MedIm 54 64 0 25 Mar 2019
Understanding Geometry of Encoder-Decoder CNNs J. C. Ye Woon Kyoung Sung 3DV AI4CE 69 73 0 22 Jan 2019
Universal Deep Beamformer for Variable Rate Ultrasound Imaging Shujaat Khan Jaeyoung Huh J. C. Ye 38 10 0 07 Jan 2019
DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering Zhipeng Li S. Ravishankar Y. Long Jeffrey A. Fessler 19 29 0 01 Jan 2019
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 65 847 0 21 Nov 2018
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? Deepak Mishra Atul Padole AP Prathosh Aravind Jayendran R. Khera Varun Srivastava S. Chaudhury Ge Wang OOD 3DV 70 324 0 08 Nov 2018
Learning Multi-Layer Transform Models S. Ravishankar B. Wohlberg MedIm 36 12 0 19 Oct 2018
One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection Yoseob Han J. C. Ye 65 35 0 01 Oct 2018
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models Brian E. Moore S. Ravishankar R. Nadakuditi Jeffrey A. Fessler 45 9 0 06 Sep 2018
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling Bihan Wen Yanjun Li Y. Bresler 56 11 0 03 Aug 2018
Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography Eunhee Kang H. Koo D. Yang Joon Bum Seo J. C. Ye MedIm 120 198 0 26 Jun 2018
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography Eunju Cha E. Kim J. C. Ye 46 5 0 03 Jun 2018
Implicit Bias of Gradient Descent on Linear Convolutional Networks Suriya Gunasekar Jason D. Lee Daniel Soudry Nathan Srebro MDE 124 413 0 01 Jun 2018
k-Space Deep Learning for Reference-free EPI Ghost Correction Juyoung Lee Yoseob Han Jae-Kyun Ryu Jang-Yeon Park J. C. Ye 36 27 0 01 Jun 2018
k-Space Deep Learning for Accelerated MRI Yoseob Han Leonard Sunwoo J. C. Ye 93 188 0 10 May 2018
Learning-Based Compressive MRI Baran Gözcü Rabeeh Karimi Mahabadi Yen-Huan Li E. Ilıcak Tolga Çukur Jonathan Scarlett Volkan Cevher 58 121 0 03 May 2018
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks Dongwook Lee Jaejun Yoo S. Tak J. C. Ye OOD 75 297 0 02 Apr 2018
Learning Filter Bank Sparsifying Transforms L. Pfister Y. Bresler 50 28 0 06 Mar 2018
Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction Hoyeon Lee Jongha Lee Hyeongseok Kim B. Cho Seungryong Cho 62 227 0 02 Mar 2018
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery Il Yong Chun Jeffrey A. Fessler 59 70 0 20 Feb 2018
Convolutional Analysis Operator Learning: Acceleration and Convergence Il Yong Chun Jeffrey A. Fessler 90 47 0 15 Feb 2018
Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF Data using Deep Learning Y. Yoon Shujaat Khan Jaeyoung Huh J. C. Ye 108 116 0 17 Dec 2017
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 143 1,020 0 07 Dec 2017
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima S. Du Jason D. Lee Yuandong Tian Barnabás Póczós Aarti Singh MLT 145 236 0 03 Dec 2017
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 125 3,161 0 29 Nov 2017
The Implicit Bias of Gradient Descent on Separable Data Daniel Soudry Elad Hoffer Mor Shpigel Nacson Suriya Gunasekar Nathan Srebro 158 921 0 27 Oct 2017
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation Kuang Gong Jiahui Guan Kyungsang Kim Xuezhu Zhang Xiaofeng Liu J. Qi Quanzheng Li MedIm 43 222 0 09 Oct 2017
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising Bihan Wen S. Ravishankar Y. Bresler 46 34 0 03 Oct 2017
Convolutional Dictionary Learning: A Comparative Review and New Algorithms Cristina Garcia-Cardona B. Wohlberg 82 177 0 09 Sep 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction Harshit Gupta Kyong Hwan Jin H. Nguyen Michael T. McCann M. Unser 3DV 112 366 0 06 Sep 2017
Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss Tran Minh Quan Thanh Nguyen-Duc W. Jeong GAN MedIm 95 541 0 03 Sep 2017
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT Yoseob Han J. C. Ye 72 519 0 28 Aug 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss Qingsong Yang Pingkun Yan Yanbo Zhang Hengyong Yu Yongyi Shi X. Mou Mannudeep K. Kalra Ge Wang GAN MedIm 61 1,201 0 03 Aug 2017
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 62 752 0 20 Jul 2017
Convolutional Dictionary Learning: Acceleration and Convergence Il Yong Chun Jeffrey A. Fessler 85 94 0 03 Jul 2017
On the Optimization Landscape of Tensor Decompositions Rong Ge Tengyu Ma 94 92 0 18 Jun 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 91 1,533 0 28 Apr 2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction Jo Schlemper Jose Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert 85 1,131 0 08 Apr 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson Thomas Pock Florian Knoll 75 1,542 0 03 Apr 2017
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction Xuehang Zheng S. Ravishankar Y. Long Jeffrey A. Fessler 51 83 0 27 Mar 2017
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR Yoseob Han J. Yoo J. C. Ye MedIm OOD 156 231 0 03 Mar 2017
Lensless computational imaging through deep learning Ayan Sinha Justin Lee Shuai Li George Barbastathis 74 520 0 22 Feb 2017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) Hu Chen Yi Zhang Mannudeep K. Kalra Feng Lin Yang Chen Peixi Liao Jiliu Zhou Ge Wang MedIm 109 1,310 0 01 Feb 2017
Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging S. Ravishankar Brian E. Moore R. Nadakuditi Jeffrey A. Fessler 60 71 0 13 Nov 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 71 2,119 0 11 Nov 2016
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction Eunhee Kang Junhong Min J. C. Ye OOD MedIm 70 765 0 31 Oct 2016