Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks - researchr publication authors

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Muhan Shao, Shuo Han, Aaron Carass, Xiang Li, Ari M. Blitz, Jerry L. Prince, Lotta Maria Ellingsen. Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks. In Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes 0001, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier, editors, Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Volume 11038 of Lecture Notes in Computer Science, pages 79-86, Springer, 2018. [doi]

This author has not been identified. Look up 'Muhan Shao' in GoogleThis author has not been identified. Look up 'Shuo Han' in GoogleThis author has not been identified. Look up 'Aaron Carass' in GoogleThis author has not been identified. Look up 'Xiang Li' in GoogleThis author has not been identified. Look up 'Ari M. Blitz' in GoogleThis author has not been identified. Look up 'Jerry L. Prince' in GoogleThis author has not been identified. Look up 'Lotta Maria Ellingsen' in Google

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