A citation-based method for searching scientific literature

Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh, Eero P Simoncelli. IEEE Trans Image Process 2004
Times Cited: 2883







List of co-cited articles
188 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Sparse MRI: The application of compressed sensing for rapid MR imaging.
Michael Lustig, David Donoho, John M Pauly. Magn Reson Med 2007
11

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.
Jo Schlemper, Jose Caballero, Joseph V Hajnal, Anthony N Price, Daniel Rueckert. IEEE Trans Med Imaging 2018
200
9

Learning a variational network for reconstruction of accelerated MRI data.
Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P Recht, Daniel K Sodickson, Thomas Pock, Florian Knoll. Magn Reson Med 2018
235
9

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
9

Image reconstruction by domain-transform manifold learning.
Bo Zhu, Jeremiah Z Liu, Stephen F Cauley, Bruce R Rosen, Matthew S Rosen. Nature 2018
278
7

Generalized autocalibrating partially parallel acquisitions (GRAPPA).
Mark A Griswold, Peter M Jakob, Robin M Heidemann, Mathias Nittka, Vladimir Jellus, Jianmin Wang, Berthold Kiefer, Axel Haase. Magn Reson Med 2002
6

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.
Guang Yang, Simiao Yu, Hao Dong, Greg Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon Arridge, Jennifer Keegan, Yike Guo,[...]. IEEE Trans Med Imaging 2018
149
6

MoDL: Model-Based Deep Learning Architecture for Inverse Problems.
Hemant K Aggarwal, Merry P Mani, Mathews Jacob. IEEE Trans Med Imaging 2019
90
5

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.
Chen Qin, Jo Schlemper, Jose Caballero, Anthony N Price, Joseph V Hajnal, Daniel Rueckert. IEEE Trans Med Imaging 2019
83
6

Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI.
Li Feng, Robert Grimm, Kai Tobias Block, Hersh Chandarana, Sungheon Kim, Jian Xu, Leon Axel, Daniel K Sodickson, Ricardo Otazo. Magn Reson Med 2014
308
5

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising.
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, Lei Zhang. IEEE Trans Image Process 2017
273
5

ESPIRiT--an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA.
Martin Uecker, Peng Lai, Mark J Murphy, Patrick Virtue, Michael Elad, John M Pauly, Shreyas S Vasanawala, Michael Lustig. Magn Reson Med 2014
403
4

Deep Learning in Medical Image Analysis.
Dinggang Shen, Guorong Wu, Heung-Il Suk. Annu Rev Biomed Eng 2017
677
4

Super-resolution musculoskeletal MRI using deep learning.
Akshay S Chaudhari, Zhongnan Fang, Feliks Kogan, Jeff Wood, Kathryn J Stevens, Eric K Gibbons, Jin Hyung Lee, Garry E Gold, Brian A Hargreaves. Magn Reson Med 2018
75
5

Deep learning for undersampled MRI reconstruction.
Chang Min Hyun, Hwa Pyung Kim, Sung Min Lee, Sungchul Lee, Jin Keun Seo. Phys Med Biol 2018
69
5

Deep Convolutional Neural Network for Inverse Problems in Imaging.
Kyong Hwan Jin, Michael T McCann, Emmanuel Froustey, Michael Unser. IEEE Trans Image Process 2017
226
4

KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images.
Taejoon Eo, Yohan Jun, Taeseong Kim, Jinseong Jang, Ho-Joon Lee, Dosik Hwang. Magn Reson Med 2018
63
6

A survey on deep learning in medical image analysis.
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A W M van der Laak, Bram van Ginneken, Clara I Sánchez. Med Image Anal 2017
4

New variants of a method of MRI scale standardization.
L G Nyúl, J K Udupa, X Zhang. IEEE Trans Med Imaging 2000
309
4

Generalized overlap measures for evaluation and validation in medical image analysis.
William R Crum, Oscar Camara, Derek L G Hill. IEEE Trans Med Imaging 2006
235
4

N4ITK: improved N3 bias correction.
Nicholas J Tustison, Brian B Avants, Philip A Cook, Yuanjie Zheng, Alexander Egan, Paul A Yushkevich, James C Gee. IEEE Trans Med Imaging 2010
4

FSIM: a feature similarity index for image quality assessment.
Lin Zhang, Lei Zhang, Xuanqin Mou, David Zhang. IEEE Trans Image Process 2011
254
4

Image denoising by sparse 3-D transform-domain collaborative filtering.
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, Karen Egiazarian. IEEE Trans Image Process 2007
709
4

The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.
Kenneth Clark, Bruce Vendt, Kirk Smith, John Freymann, Justin Kirby, Paul Koppel, Stephen Moore, Stanley Phillips, David Maffitt, Michael Pringle,[...]. J Digit Imaging 2013
699
4

FSL.
Mark Jenkinson, Christian F Beckmann, Timothy E J Behrens, Mark W Woolrich, Stephen M Smith. Neuroimage 2012
4


SENSE: sensitivity encoding for fast MRI.
K P Pruessmann, M Weiger, M B Scheidegger, P Boesiger. Magn Reson Med 1999
3

A reproducible evaluation of ANTs similarity metric performance in brain image registration.
Brian B Avants, Nicholas J Tustison, Gang Song, Philip A Cook, Arno Klein, James C Gee. Neuroimage 2011
3

Deep learning with domain adaptation for accelerated projection-reconstruction MR.
Yoseob Han, Jaejun Yoo, Hak Hee Kim, Hee Jung Shin, Kyunghyun Sung, Jong Chul Ye. Magn Reson Med 2018
85
3

Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease.
Andreas Hauptmann, Simon Arridge, Felix Lucka, Vivek Muthurangu, Jennifer A Steeden. Magn Reson Med 2019
53
5

Advances in sensitivity encoding with arbitrary k-space trajectories.
K P Pruessmann, M Weiger, P Börnert, P Boesiger. Magn Reson Med 2001
658
3

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest,[...]. IEEE Trans Med Imaging 2015
567
3

Accelerated dynamic MRI exploiting sparsity and low-rank structure: k-t SLR.
Sajan Goud Lingala, Yue Hu, Edward DiBella, Mathews Jacob. IEEE Trans Med Imaging 2011
235
3


Image Super-Resolution Using Deep Convolutional Networks.
Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang. IEEE Trans Pattern Anal Mach Intell 2016
359
3

Multimodal MR Synthesis via Modality-Invariant Latent Representation.
Agisilaos Chartsias, Thomas Joyce, Mario Valerio Giuffrida, Sotirios A Tsaftaris. IEEE Trans Med Imaging 2018
31
9



FreeSurfer.
Bruce Fischl. Neuroimage 2012
3


Artifact correction in low-dose dental CT imaging using Wasserstein generative adversarial networks.
Zhanli Hu, Changhui Jiang, Fengyi Sun, Qiyang Zhang, Yongshuai Ge, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang. Med Phys 2019
17
17

Generative Adversarial Networks for Noise Reduction in Low-Dose CT.
Jelmer M Wolterink, Tim Leiner, Max A Viergever, Ivana Isgum. IEEE Trans Med Imaging 2017
166
3

Unified segmentation.
John Ashburner, Karl J Friston. Neuroimage 2005
3

Single Image Haze Removal Using Dark Channel Prior.
Kaiming He, Jian Sun, Xiaoou Tang. IEEE Trans Pattern Anal Mach Intell 2011
131
3


Quantitative imaging of protein targets in the human brain with PET.
Roger N Gunn, Mark Slifstein, Graham E Searle, Julie C Price. Phys Med Biol 2015
29
6

PET image reconstruction using kernel method.
Guobao Wang, Jinyi Qi. IEEE Trans Med Imaging 2015
66
3


Simultaneous phase and amplitude extraction from a single defocused image of a homogeneous object.
D Paganin, S C Mayo, T E Gureyev, P R Miller, S W Wilkins. J Microsc 2002
556
2

Coil compression for accelerated imaging with Cartesian sampling.
Tao Zhang, John M Pauly, Shreyas S Vasanawala, Michael Lustig. Magn Reson Med 2013
106
2


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.