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3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.
Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Xiaojuan Qi, Daniel L Belavý, Gabriele Armbrecht, Dieter Felsenberg, Guoyan Zheng, Pheng-Ann Heng. Med Image Anal 2018
Times Cited: 26






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



Times Cited
  Times     Co-cited
Similarity


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
2146
8
30

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
8137
7
26

3D deeply supervised network for automated segmentation of volumetric medical images.
Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng. Med Image Anal 2017
146
7
26

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.
Konstantinos Kamnitsas, Christian Ledig, Virginia F J Newcombe, Joanna P Simpson, Andrew D Kane, David K Menon, Daniel Rueckert, Ben Glocker. Med Image Anal 2017
716
6
23

Brain tumor segmentation with Deep Neural Networks.
Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle. Med Image Anal 2017
517
5
19

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Pheng-Ann Heng. Neuroimage 2018
167
5
19

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
Hoo-Chang Shin, Holger R Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel Mollura, Ronald M Summers. IEEE Trans Med Imaging 2016
915
5
19

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.
Guoyan Zheng, Chengwen Chu, Daniel L Belavý, Bulat Ibragimov, Robert Korez, Tomaž Vrtovec, Hugo Hutt, Richard Everson, Judith Meakin, Isabel Lŏpez Andrade,[...]. Med Image Anal 2017
30
5
19

Localization and Segmentation of 3D Intervertebral Discs in MR Images by Data Driven Estimation.
Cheng Chen, Daniel Belavy, Weimin Yu, Chengwen Chu, Gabriele Armbrecht, Martin Bansmann, Dieter Felsenberg, Guoyan Zheng. IEEE Trans Med Imaging 2015
18
4
22

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study.
Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. Neuroimage 2018
108
4
15

Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.
Xiangrong Zhou, Ryosuke Takayama, Song Wang, Takeshi Hara, Hiroshi Fujita. Med Phys 2017
47
4
15

Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.
Peijun Hu, Fa Wu, Jialin Peng, Yuanyuan Bao, Feng Chen, Dexing Kong. Int J Comput Assist Radiol Surg 2017
56
4
15

Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.
Timothy L Kline, Panagiotis Korfiatis, Marie E Edwards, Jaime D Blais, Frank S Czerwiec, Peter C Harris, Bernard F King, Vicente E Torres, Bradley J Erickson. J Digit Imaging 2017
43
4
15

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network.
Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Andreas Christe, Stavroula Mougiakakou. IEEE Trans Med Imaging 2016
262
4
15

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.
Pim Moeskops, Max A Viergever, Adrienne M Mendrik, Linda S de Vries, Manon J N L Benders, Ivana Isgum. IEEE Trans Med Imaging 2016
228
4
15

Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging.
Fang Liu, Zhaoye Zhou, Hyungseok Jang, Alexey Samsonov, Gengyan Zhao, Richard Kijowski. Magn Reson Med 2018
104
4
15

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs.
David B Larson, Matthew C Chen, Matthew P Lungren, Safwan S Halabi, Nicholas V Stence, Curtis P Langlotz. Radiology 2018
145
4
15

Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry.
Berk Norman, Valentina Pedoia, Sharmila Majumdar. Radiology 2018
129
4
15

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla. IEEE Trans Pattern Anal Mach Intell 2017
937
4
15

Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI.
Marko Rak, Johannes Steffen, Anneke Meyer, Christian Hansen, Klaus-Dietz Tönnies. Comput Methods Programs Biomed 2019
8
4
50

Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network.
Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze, Erik Dam, Mads Nielsen. Med Image Comput Comput Assist Interv 2013
130
3
11

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh, Jae Y Shin, Suryakanth R Gurudu, R Todd Hurst, Christopher B Kendall, Michael B Gotway, Jianming Liang. IEEE Trans Med Imaging 2016
516
3
11

Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution.
Peijun Hu, Fa Wu, Jialin Peng, Ping Liang, Dexing Kong. Phys Med Biol 2016
73
3
11

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.
Tom Brosch, Lisa Y W Tang, Youngjin Yoo, David K B Li, Anthony Traboulsee, Roger Tam. IEEE Trans Med Imaging 2016
134
3
11

ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images.
Bob D de Vos, Jelmer M Wolterink, Pim A de Jong, Tim Leiner, Max A Viergever, Ivana Isgum. IEEE Trans Med Imaging 2017
35
3
11

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.
Qi Dou, Hao Chen, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Vincent Ct Mok, Lin Shi, Pheng-Ann Heng. IEEE Trans Med Imaging 2016
165
3
11

Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching.
Yanrong Guo, Yaozong Gao, Dinggang Shen. IEEE Trans Med Imaging 2016
74
3
11

Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
Bulat Ibragimov, Lei Xing. Med Phys 2017
205
3
11

Fast and robust segmentation of the striatum using deep convolutional neural networks.
Hongyoon Choi, Kyong Hwan Jin. J Neurosci Methods 2016
26
3
11

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.
Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Pheng-Ann Heng. IEEE Trans Biomed Eng 2017
117
3
11

Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks.
Liang Chen, Paul Bentley, Daniel Rueckert. Neuroimage Clin 2017
80
3
11

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
Sergio Pereira, Adriano Pinto, Victor Alves, Carlos A Silva. IEEE Trans Med Imaging 2016
438
3
11

Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning.
Zhongyi Han, Benzheng Wei, Stephanie Leung, Ilanit Ben Nachum, David Laidley, Shuo Li. Neuroinformatics 2018
10
3
30

Deep Learning in Medical Image Analysis.
Dinggang Shen, Guorong Wu, Heung-Il Suk. Annu Rev Biomed Eng 2017
875
3
11

An application of cascaded 3D fully convolutional networks for medical image segmentation.
Holger R Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori. Comput Med Imaging Graph 2018
66
3
11

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
Holger R Roth, Le Lu, Nathan Lay, Adam P Harrison, Amal Farag, Andrew Sohn, Ronald M Summers. Med Image Anal 2018
82
3
11

Atlas-based segmentation of degenerated lumbar intervertebral discs from MR images of the spine.
Sofia K Michopoulou, Lena Costaridou, Elias Panagiotopoulos, Robert Speller, George Panayiotakis, Andrew Todd-Pokropek. IEEE Trans Biomed Eng 2009
61
3
11

Learning-based vertebra detection and iterative normalized-cut segmentation for spinal MRI.
Szu-Hao Huang, Yi-Hong Chu, Shang-Hong Lai, Carol L Novak. IEEE Trans Med Imaging 2009
66
3
11

Automated detection, 3D segmentation and analysis of high resolution spine MR images using statistical shape models.
A Neubert, J Fripp, C Engstrom, R Schwarz, L Lauer, O Salvado, S Crozier. Phys Med Biol 2012
39
3
11

Automated abdominal multi-organ segmentation with subject-specific atlas generation.
Robin Wolz, Chengwen Chu, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert. IEEE Trans Med Imaging 2013
102
3
11

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
902
3
11

Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks.
Eli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Gurusamy, Brian Davidson, Stephen P Pereira, Matthew J Clarkson, Dean C Barratt. IEEE Trans Med Imaging 2018
136
3
11

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes.
Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng. IEEE Trans Med Imaging 2018
236
3
11

Spine-GAN: Semantic segmentation of multiple spinal structures.
Zhongyi Han, Benzheng Wei, Ashley Mercado, Stephanie Leung, Shuo Li. Med Image Anal 2018
35
3
11

A Region-Based Deep Level Set Formulation for Vertebral Bone Segmentation of Osteoporotic Fractures.
Faisal Rehman, Syed Irtiza Ali Shah, M Naveed Riaz, S Omer Gilani, Faiza R. J Digit Imaging 2020
8
3
37

Fully automated radiological analysis of spinal disorders and deformities: a deep learning approach.
Fabio Galbusera, Frank Niemeyer, Hans-Joachim Wilke, Tito Bassani, Gloria Casaroli, Carla Anania, Francesco Costa, Marco Brayda-Bruno, Luca Maria Sconfienza. Eur Spine J 2019
40
3
11

Fully automatic cervical vertebrae segmentation framework for X-ray images.
S M Masudur Rahman Al Arif, Karen Knapp, Greg Slabaugh. Comput Methods Programs Biomed 2018
25
3
12

Web-Based Spine Segmentation Using Deep Learning in Computed Tomography Images.
Young Jae Kim, Bilegt Ganbold, Kwang Gi Kim. Healthc Inform Res 2020
13
3
23

A machine learning approach for predictive models of adverse events following spine surgery.
Summer S Han, Tej D Azad, Paola A Suarez, John K Ratliff. Spine J 2019
30
3
11

Integrating spatial configuration into heatmap regression based CNNs for landmark localization.
Christian Payer, Darko Štern, Horst Bischof, Martin Urschler. Med Image Anal 2019
29
3
11


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.

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