A citation-based method for searching scientific literature

Nima Tajbakhsh, Jae Y Shin, Suryakanth R Gurudu, R Todd Hurst, Christopher B Kendall, Michael B Gotway, Jianming Liang. IEEE Trans Med Imaging 2016
Times Cited: 426







List of co-cited articles
224 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
27

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
22

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
740
20

Dermatologist-level classification of skin cancer with deep neural networks.
Andre Esteva, Brett Kuprel, Roberto A Novoa, Justin Ko, Susan M Swetter, Helen M Blau, Sebastian Thrun. Nature 2017
13

Deep Learning in Medical Image Analysis.
Dinggang Shen, Guorong Wu, Heung-Il Suk. Annu Rev Biomed Eng 2017
677
10

An overview of deep learning in medical imaging focusing on MRI.
Alexander Selvikvåg Lundervold, Arvid Lundervold. Z Med Phys 2019
211
7

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.
Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Geert Litjens, Paul Gerke, Colin Jacobs, Sarah J van Riel, Mathilde Marie Winkler Wille, Matiullah Naqibullah, Clara I Sanchez, Bram van Ginneken. IEEE Trans Med Imaging 2016
237
6

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
6

UNet++: A Nested U-Net Architecture for Medical Image Segmentation.
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang. Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018) 2018
126
6

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis.
Veronika Cheplygina, Marleen de Bruijne, Josien P W Pluim. Med Image Anal 2019
76
7

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.
Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. IEEE Trans Pattern Anal Mach Intell 2017
835
5

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.
Samuel G Armato, Geoffrey McLennan, Luc Bidaut, Michael F McNitt-Gray, Charles R Meyer, Anthony P Reeves, Binsheng Zhao, Denise R Aberle, Claudia I Henschke, Eric A Hoffman,[...]. Med Phys 2011
363
5

Digital mammographic tumor classification using transfer learning from deep convolutional neural networks.
Benjamin Q Huynh, Hui Li, Maryellen L Giger. J Med Imaging (Bellingham) 2016
108
5

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
589
5

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning.
Guotai Wang, Wenqi Li, Maria A Zuluaga, Rosalind Pratt, Premal A Patel, Michael Aertsen, Tom Doel, Anna L David, Jan Deprest, Sebastien Ourselin,[...]. IEEE Trans Med Imaging 2018
72
6

Brain tumor classification for MR images using transfer learning and fine-tuning.
Zar Nawab Khan Swati, Qinghua Zhao, Muhammad Kabir, Farman Ali, Zakir Ali, Saeed Ahmed, Jianfeng Lu. Comput Med Imaging Graph 2019
30
16

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.
Freddie Bray, Jacques Ferlay, Isabelle Soerjomataram, Rebecca L Siegel, Lindsey A Torre, Ahmedin Jemal. CA Cancer J Clin 2018
5

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks.
Martin Rajchl, Matthew C H Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Mellisa Damodaram, Mary A Rutherford, Joseph V Hajnal, Bernhard Kainz,[...]. IEEE Trans Med Imaging 2017
42
9

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S N Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts,[...]. Med Image Anal 2017
125
4


Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Varun Gulshan, Lily Peng, Marc Coram, Martin C Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros,[...]. JAMA 2016
4


Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.
Jens Kleesiek, Gregor Urban, Alexander Hubert, Daniel Schwarz, Klaus Maier-Hein, Martin Bendszus, Armin Biller. Neuroimage 2016
100
4

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
4

Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally.
Zongwei Zhou, Jae Shin, Lei Zhang, Suryakanth Gurudu, Michael Gotway, Jianming Liang. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit 2017
33
12

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L Yuille. IEEE Trans Pattern Anal Mach Intell 2018
542
4

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla. IEEE Trans Pattern Anal Mach Intell 2017
665
4



Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.
Daniel S Kermany, Michael Goldbaum, Wenjia Cai, Carolina C S Valentim, Huiying Liang, Sally L Baxter, Alex McKeown, Ge Yang, Xiaokang Wu, Fangbing Yan,[...]. Cell 2018
531
4

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
219
4

Convolutional neural networks: an overview and application in radiology.
Rikiya Yamashita, Mizuho Nishio, Richard Kinh Gian Do, Kaori Togashi. Insights Imaging 2018
198
4


The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.
David N Louis, Arie Perry, Guido Reifenberger, Andreas von Deimling, Dominique Figarella-Branger, Webster K Cavenee, Hiroko Ohgaki, Otmar D Wiestler, Paul Kleihues, David W Ellison. Acta Neuropathol 2016
4

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation.
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey N Chiang, Zhihao Wu, Xiaowei Ding. Med Image Anal 2020
36
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
104
3

Radiomics: Images Are More than Pictures, They Are Data.
Robert J Gillies, Paul E Kinahan, Hedvig Hricak. Radiology 2016
3

Deep Learning: A Primer for Radiologists.
Gabriel Chartrand, Phillip M Cheng, Eugene Vorontsov, Michal Drozdzal, Simon Turcotte, Christopher J Pal, Samuel Kadoury, An Tang. Radiographics 2017
293
3

Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI.
Xin Yang, Chaoyue Liu, Zhiwei Wang, Jun Yang, Hung Le Min, Liang Wang, Kwang-Ting Tim Cheng. Med Image Anal 2017
31
9

Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks.
Minh Hung Le, Jingyu Chen, Liang Wang, Zhiwei Wang, Wenyu Liu, Kwang-Ting Tim Cheng, Xin Yang. Phys Med Biol 2017
51
5

elastix: a toolbox for intensity-based medical image registration.
Stefan Klein, Marius Staring, Keelin Murphy, Max A Viergever, Josien P W Pluim. IEEE Trans Med Imaging 2010
3

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
116
3

Overview of deep learning in medical imaging.
Kenji Suzuki. Radiol Phys Technol 2017
155
3

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.
Diego Ardila, Atilla P Kiraly, Sujeeth Bharadwaj, Bokyung Choi, Joshua J Reicher, Lily Peng, Daniel Tse, Mozziyar Etemadi, Wenxing Ye, Greg Corrado,[...]. Nat Med 2019
297
3

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
Sergio Pereira, Adriano Pinto, Victor Alves, Carlos A Silva. IEEE Trans Med Imaging 2016
361
3

Optical coherence tomography.
D Huang, E A Swanson, C P Lin, J S Schuman, W G Stinson, W Chang, M R Hee, T Flotte, K Gregory, C A Puliafito. Science 1991
3

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
3

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.
Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias Heinrich, Wenjia Bai, Jose Caballero, Stuart A Cook, Antonio de Marvao, Timothy Dawes, Declan P O'Regan,[...]. IEEE Trans Med Imaging 2018
98
3

Deep learning in medical imaging and radiation therapy.
Berkman Sahiner, Aria Pezeshk, Lubomir M Hadjiiski, Xiaosong Wang, Karen Drukker, Kenny H Cha, Ronald M Summers, Maryellen L Giger. Med Phys 2019
148
3


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.