ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.02073
  4. Cited By
A Densely Interconnected Network for Deep Learning Accelerated MRI
v1v2 (latest)

A Densely Interconnected Network for Deep Learning Accelerated MRI

5 July 2022
Jon André Ottesen
M. Caan
I. Groote
A. Bjørnerud
ArXiv (abs)PDFHTML

Papers citing "A Densely Interconnected Network for Deep Learning Accelerated MRI"

18 / 18 papers shown
Title
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully
  Sampled Multi-Coil MRI Data
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
Ruiyang Zhao
Burhaneddin Yaman
Yuxin Zhang
Russell Stewart
Austin X. Dixon
Florian Knoll
Zhengnan Huang
Yvonne W. Lui
M. Hansen
M. Lungren
68
29
0
08 Sep 2021
ResViT: Residual vision transformers for multi-modal medical image
  synthesis
ResViT: Residual vision transformers for multi-modal medical image synthesis
Onat Dalmaz
Mahmut Yurt
Tolga Çukur
ViTMedIm
98
351
0
30 Jun 2021
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
108
1,092
0
02 Nov 2020
An Adaptive Intelligence Algorithm for Undersampled Knee MRI
  Reconstruction
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
63
99
0
15 Apr 2020
DC-WCNN: A deep cascade of wavelet based convolutional neural networks
  for MR Image Reconstruction
DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction
Sriprabha Ramanarayanan
Balamurali Murugesan
Keerthi Ram
M. Sivaprakasam
62
42
0
08 Jan 2020
Advancing machine learning for MR image reconstruction with an open
  competition: Overview of the 2019 fastMRI challenge
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Florian Knoll
Tullie Murrell
Anuroop Sriram
N. Yakubova
Jure Zbontar
...
Aaron Defazio
Matthew Muckley
D. Sodickson
C. L. Zitnick
M. Recht
142
212
0
06 Jan 2020
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
75
850
0
21 Nov 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
229
16,641
0
17 Jul 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
163
5,081
0
11 Apr 2018
Deep Residual Learning for Accelerated MRI using Magnitude and Phase
  Networks
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks
Dongwook Lee
Jaejun Yoo
S. Tak
J. C. Ye
OOD
78
299
0
02 Apr 2018
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
94
501
0
05 Dec 2017
A Transfer-Learning Approach for Accelerated MRI using Deep Neural
  Networks
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks
S. Dar
Muzaffer Özbey
Ahmet Burak Çatlı
Tolga Çukur
MedImOOD
112
166
0
07 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
55
458
0
08 Sep 2017
Learning a Variational Network for Reconstruction of Accelerated MRI
  Data
Learning a Variational Network for Reconstruction of Accelerated MRI Data
Kerstin Hammernik
Teresa Klatzer
Erich Kobler
M. Recht
D. Sodickson
Thomas Pock
Florian Knoll
85
1,548
0
03 Apr 2017
Sigmoid-Weighted Linear Units for Neural Network Function Approximation
  in Reinforcement Learning
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
Stefan Elfwing
E. Uchibe
Kenji Doya
145
1,746
0
10 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
524
10,358
0
16 Nov 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
180
3,714
0
27 Jul 2016
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
176
5,049
0
27 Jun 2016
1