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Segmenting vascular pathologies such as white matter lesions in Brain magnetic resonance images (MRIs) require acquisition of multiple sequences such as T1-weighted (T1-w) --on which lesions appear hypointense-- and fluid attenuated inversion recovery (FLAIR) sequence --where lesions appear hyperintense--.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Automatic detection of white matter hyperintensities in healthy aging and pathology using magnetic resonance imaging: A review
Maria Eugenia Caligiuri, Paolo Perrotta, Antonio Augimeri, Federico Rocca, Aldo Quattrone, and Andrea Cherubini · 2015
Earlier work this paper cites.
Why does synthesized data improve multi-sequence classification?
Gijs van Tulder and Marleen de Bruijne · 2015
Earlier work this paper cites.
Bianca (brain intensity abnormality classification algorithm): A new tool for automated segmentation of white matter hyperintensities
Ludovica Griffanti, Giovanna Zamboni, Aamira Khan, Linxin Li, Guendalina Bonifacio, Vaanathi Sundaresan, Ursula G Schulz, Wilhelm Kuker, Marco Battaglini, Peter M Rothwell, et al · 2016
Earlier work this paper cites.
Hemis: Hetero-modal image segmentation
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, and Yoshua Bengio · 2016
Earlier work this paper cites.
Validation of a regression technique for segmentation of white matter hyperintensities in alzheimer’s disease
Mahsa Dadar, Tharick A Pascoal, Sarinporn Manitsirikul, Karen Misquitta, Carmela Tartaglia, John Brietner, Pedro Rosa-Neto, Owen Carmichael, Charles DeCarli, and D Louis Collins · 2017
Cited alongside, same era.
Adversarial synthesis learning enables segmentation without target modality ground truth
Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G Abramson, and Bennett A Landman · 2017
Cited alongside, same era.
Efficient multi-scale 3d cnn with fully connected crf for accurate brain lesion segmentation
Konstantinos Kamnitsas, Christian Ledig, Virginia FJ Newcombe, Joanna P Simpson, Andrew D Kane, David K Menon, Daniel Rueckert, and Ben Glocker · 2017
Cited alongside, same era.
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 AWM van der Laak, Bram van Ginneken, and Clara I Sánchez · 2017
Cited alongside, same era.
A bayesian data augmentation approach for learning deep models
Toan Tran, Trung Pham, Gustavo Carneiro, Lyle Palmer, and Ian Reid · 2017
Later among the works it cites.
Avi Ben-Cohen, Eyal Klang, Stephen P Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, and Hayit Greenspan · 2018
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Fully convolutional network ensembles for white matter hyperintensities segmentation in mr images
Hongwei Li, Gongfa Jiang, Ruixuan Wang, Jianguo Zhang, Zhaolei Wang, Wei-Shi Zheng, and Bjoern Menze · 2018
Closest in time.
Zizhao Zhang, Lin Yang, and Yefeng Zheng · 2018
Closest in time.
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Medical image synthesis with context-aware generative adversarial networks
Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, and Dinggang Shen · 2017
Cited alongside, same era.