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of 4
pro vyhledávání: '"Dedmari, Muneer A."'
Autor:
Dedmari, Muneer Ahmad, Conjeti, Sailesh, Estrada, Santiago, Ehses, Phillip, Stöcker, Tony, Reuter, Martin
Undersampling the k-space data is widely adopted for acceleration of Magnetic Resonance Imaging (MRI). Current deep learning based approaches for supervised learning of MRI image reconstruction employ real-valued operations and representations by tre
Externí odkaz:
http://arxiv.org/abs/1807.03343
Autor:
Al Hajj, Hassan, Lamard, Mathieu, Conze, Pierre-Henri, Roychowdhury, Soumali, Hu, Xiaowei, Maršalkaitė, Gabija, Zisimopoulos, Odysseas, Dedmari, Muneer Ahmad, Zhao, Fenqiang, Prellberg, Jonas, Sahu, Manish, Galdran, Adrian, Araújo, Teresa, Vo, Duc My, Panda, Chandan, Dahiya, Navdeep, Kondo, Satoshi, Bian, Zhengbing, Vahdat, Arash, Bialopetravičius, Jonas, Flouty, Evangello, Qiu, Chenhui, Dill, Sabrina, Mukhopadhyay, Anirban, Costa, Pedro, Aresta, Guilherme, Ramamurthy, Senthil, Lee, Sang-Woong, Campilho, Aurélio, Zachow, Stefan, Xia, Shunren, Conjeti, Sailesh, Stoyanov, Danail, Armaitis, Jogundas, Heng, Pheng-Ann, Macready, William G., Cochener, Béatrice, Quellec, Gwenolé
Publikováno v:
In Medical Image Analysis February 2019 52:24-41
Akademický článek
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Publikováno v:
9th International Conference on Machine Learning in Medical Imaging, Granada, Spain, 2018-09-16-2018-09-16
Increased information sharing through short and long-range skip connections between layers in fully convolutional networks have demonstrated significant improvement in performance for semantic segmentation. In this paper, we propose Competitive Dense
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10678::e31f3ee4ea37868c1896bdb22882e3b8
https://pub.dzne.de/record/145485
https://pub.dzne.de/record/145485