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

ArXiv (abs)PDF HTML

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 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 Onat Dalmaz Mahmut Yurt Tolga Çukur ViT MedIm 98 351 0 30 Jun 2021
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 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 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 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 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 Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 227 16,641 0 17 Jul 2018
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 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 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 S. Dar Muzaffer Özbey Ahmet Burak Çatlı Tolga Çukur MedIm OOD 112 166 0 07 Oct 2017
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 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 Stefan Elfwing E. Uchibe Kenji Doya 143 1,746 0 10 Feb 2017
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 Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 180 3,714 0 27 Jul 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 174 5,049 0 27 Jun 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.