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Deep Learning for Biomedical Image Reconstruction: A Survey

Deep Learning for Biomedical Image Reconstruction: A Survey

26 February 2020
Hanene Ben Yedder
Ben Cardoen
Ghassan Hamarneh
    MedIm
    3DV
ArXivPDFHTML

Papers citing "Deep Learning for Biomedical Image Reconstruction: A Survey"

45 / 45 papers shown
Title
Principles and Components of Federated Learning Architectures
Principles and Components of Federated Learning Architectures
S. Saif
Md Abdullah Al Nasim
Parag Biswas
Abdur Rashid
Md. Mahim Anjum Haque
Md. Zihad Bin Jahangir
Kishor Datta Gupta
FedML
106
3
0
07 Feb 2025
Medical image reconstruction with image-adaptive priors learned by use
  of generative adversarial networks
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks
Sayantan Bhadra
Weimin Zhou
M. Anastasio
MedIm
GAN
36
28
0
27 Jan 2020
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant
  Unrolling of Optimization Algorithms
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms
S. A. Hosseini
Burhaneddin Yaman
S. Moeller
Mingyi Hong
Mehmet Akçakaya
AI4CE
49
8
0
16 Dec 2019
Data Consistent Artifact Reduction for Limited Angle Tomography with
  Deep Learning Prior
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
Yixing Huang
Alexander Preuhs
G. Lauritsch
M. Manhart
Xiaolin Huang
Andreas Maier
75
38
0
19 Aug 2019
A Review on Deep Learning in Medical Image Reconstruction
A Review on Deep Learning in Medical Image Reconstruction
Hai-Miao Zhang
Bin Dong
MedIm
60
124
0
23 Jun 2019
Deep Leakage from Gradients
Deep Leakage from Gradients
Ligeng Zhu
Zhijian Liu
Song Han
FedML
90
2,199
0
21 Jun 2019
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative
  Adversarial Network
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
Anmol Sharma
Ghassan Hamarneh
MedIm
GAN
117
175
0
27 Apr 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine
  Learning
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
S. Ravishankar
J. C. Ye
Jeffrey A. Fessler
63
244
0
04 Apr 2019
Deep Learning Methods for Parallel Magnetic Resonance Image
  Reconstruction
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
Florian Knoll
Kerstin Hammernik
Chi Zhang
S. Moeller
Thomas Pock
D. Sodickson
Mehmet Akçakaya
OOD
55
267
0
01 Apr 2019
Transform Learning for Magnetic Resonance Image Reconstruction: From
  Model-based Learning to Building Neural Networks
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks
Bihan Wen
S. Ravishankar
L. Pfister
Y. Bresler
MedIm
36
64
0
25 Mar 2019
On instabilities of deep learning in image reconstruction - Does AI come
  at a cost?
On instabilities of deep learning in image reconstruction - Does AI come at a cost?
Vegard Antun
F. Renna
C. Poon
Ben Adcock
A. Hansen
48
601
0
14 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
93
2,295
0
17 Jan 2019
Self-Supervised Deep Active Accelerated MRI
Self-Supervised Deep Active Accelerated MRI
Kyong Hwan Jin
M. Unser
K. M. Yi
OOD
MedIm
52
60
0
14 Jan 2019
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
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
843
0
21 Nov 2018
Computationally Efficient Deep Neural Network for Computed Tomography
  Image Reconstruction
Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction
Dufan Wu
Kyungsang Kim
Quanzheng Li
24
43
0
05 Oct 2018
Training Behavior of Sparse Neural Network Topologies
Training Behavior of Sparse Neural Network Topologies
Simon Alford
Ryan A. Robinett
Lauren Milechin
J. Kepner
23
17
0
30 Sep 2018
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction
Yu Sun
B. Wohlberg
Ulugbek S. Kamilov
45
209
0
12 Sep 2018
Cycle Consistent Adversarial Denoising Network for Multiphase Coronary
  CT Angiography
Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography
Eunhee Kang
H. Koo
D. Yang
Joon Bum Seo
J. C. Ye
MedIm
104
197
0
26 Jun 2018
Stability of Scattering Decoder For Nonlinear Diffractive Imaging
Stability of Scattering Decoder For Nonlinear Diffractive Imaging
Yu Sun
Ulugbek S. Kamilov
18
2
0
20 Jun 2018
Highly Scalable Image Reconstruction using Deep Neural Networks with
  Bandpass Filtering
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering
Joseph Y. Cheng
Feiyu Chen
M. Alley
John M. Pauly
S. Vasanawala
65
43
0
08 May 2018
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network
Liyan Sun
Zhiwen Fan
Yue Huang
Xinghao Ding
John Paisley
88
61
0
06 May 2018
DeepPET: A deep encoder-decoder network for directly solving the PET
  reconstruction inverse problem
DeepPET: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem
I. Haeggstroem
C. Schmidtlein
Gabriele Campanella
Thomas J. Fuchs
ViT
MedIm
30
255
0
20 Apr 2018
Efficient and accurate inversion of multiple scattering with deep
  learning
Efficient and accurate inversion of multiple scattering with deep learning
Yu Sun
Zhihao Xia
Ulugbek S. Kamilov
48
126
0
18 Mar 2018
Differentially Private Federated Learning: A Client Level Perspective
Differentially Private Federated Learning: A Client Level Perspective
Robin C. Geyer
T. Klein
Moin Nabi
FedML
112
1,293
0
20 Dec 2017
Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF
  Data using Deep Learning
Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF Data using Deep Learning
Y. Yoon
Shujaat Khan
Jaeyoung Huh
J. C. Ye
92
115
0
17 Dec 2017
200x Low-dose PET Reconstruction using Deep Learning
200x Low-dose PET Reconstruction using Deep Learning
Junshen Xu
Enhao Gong
John M. Pauly
Greg Zaharchuk
MedIm
34
133
0
12 Dec 2017
Convolutional Recurrent Neural Networks for Dynamic MR Image
  Reconstruction
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
C. Qin
Jo Schlemper
Jose Caballero
Anthony N. Price
Joseph V. Hajnal
Daniel Rueckert
MedIm
52
499
0
05 Dec 2017
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
114
3,147
0
29 Nov 2017
A Review of Convolutional Neural Networks for Inverse Problems in
  Imaging
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann
Kyong Hwan Jin
M. Unser
3DV
61
592
0
11 Oct 2017
Deep learning for undersampled MRI reconstruction
Deep learning for undersampled MRI reconstruction
Chang Min Hyun
Hwa Pyung Kim
S. Lee
Sungchul Lee
J.K. Seo
48
457
0
08 Sep 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
Harshit Gupta
Kyong Hwan Jin
H. Nguyen
Michael T. McCann
M. Unser
3DV
104
365
0
06 Sep 2017
Learned Primal-dual Reconstruction
Learned Primal-dual Reconstruction
J. Adler
Ozan Oktem
MedIm
55
752
0
20 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
81
561
0
05 Jul 2017
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI
Yan Yang
Jian Sun
Huibin Li
Zongben Xu
MedIm
61
126
0
19 May 2017
Image reconstruction by domain transform manifold learning
Image reconstruction by domain transform manifold learning
Bo Zhu
Jeremiah Zhe Liu
Bruce Rosen
Matthew S. Rosen
85
1,531
0
28 Apr 2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
74
1,131
0
08 Apr 2017
A Deep Cascade of Convolutional Neural Networks for MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
104
348
0
01 Mar 2017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network
  (RED-CNN)
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
106
1,306
0
01 Feb 2017
The Impact of Random Models on Clustering Similarity
The Impact of Random Models on Clustering Similarity
Alexander J. Gates
Yong-Yeol Ahn
47
125
0
23 Jan 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
65
2,118
0
11 Nov 2016
A Perspective on Deep Imaging
A Perspective on Deep Imaging
Ge Wang
OOD
42
392
0
10 Sep 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.6K
76,917
0
18 May 2015
Generative Adversarial Networks
Generative Adversarial Networks
Ian Goodfellow
Jean Pouget-Abadie
M. Berk Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
GAN
135
2,191
0
10 Jun 2014
Spatially-Adaptive Reconstruction in Computed Tomography using Neural
  Networks
Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks
J. Shtok
M. Zibulevsky
Michael Elad
64
44
0
28 Nov 2013
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