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  1. 1
    Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks

    Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks af Thomas Schlegl, Sebastian M. Waldstein, Wolf‐Dieter Vogl, Ursula Schmidt‐Erfurth, Georg Langs

    Udgivet 2015
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  2. 2
    Three‐dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues

    Three‐dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues af Corrado Calì, Jumana Baghabra, Daniya Boges, Glendon Holst, Anna Kreshuk, Fred A. Hamprecht, Madhusudhanan Srinivasan, Heikki Lehväslaiho, Pierre J. Magistretti

    Udgivet 2015
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  3. 3
    Anatomy-specific classification of medical images using deep convolutional nets

    Anatomy-specific classification of medical images using deep convolutional nets af Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lü, Ronald M. Summers

    Udgivet 2015
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  4. 4
    Bird Species Categorization Using Pose Normalized Deep Convolutional Nets

    Bird Species Categorization Using Pose Normalized Deep Convolutional Nets af Steve Branson, Grant Van Horn, Serge Belongie, Pietro Perona

    Udgivet 2014
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  5. 5
    Computer-aided classification of lung nodules on computed tomography images via deep learning technique

    Computer-aided classification of lung nodules on computed tomography images via deep learning technique af Yu-Jen Yu-Jen Chen, Kai‐Lung Hua, Che-Hao Hsu, Wen-Huang Cheng, Shintami Chusnul Hidayati

    Udgivet 2015
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  6. 6
    DeepCNF-D: Predicting Protein Order/Disorder Regions by Weighted Deep Convolutional Neural Fields

    DeepCNF-D: Predicting Protein Order/Disorder Regions by Weighted Deep Convolutional Neural Fields af Sheng Wang, Shunyan Weng, Jianzhu Ma, Qingming Tang

    Udgivet 2015
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  7. 7
    Brain tumor segmentation with Deep Neural Networks

    Brain tumor segmentation with Deep Neural Networks af Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron Courville, Yoshua Bengio, Chris Pal, Pierre‐Marc Jodoin, Hugo Larochelle

    Udgivet 2016
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  8. 8
    Crowdsourcing the creation of image segmentation algorithms for connectomics

    Crowdsourcing the creation of image segmentation algorithms for connectomics af Ignacio Arganda‐Carreras, Srinivas C. Turaga, Daniel R. Berger, Dan Cireşan, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber, Dmitry Laptev, Sarvesh Dwivedi, Joachim M. Buhmann, Ting Liu, Mojtaba Seyedhosseini, Tolga Taşdizen, Lee Kamentsky, Radim Bürget, Václav Uher, Xiao Tan, Changming Sun, Tuan D. Pham, Erhan Bas, Mustafa Gökhan Uzunbaş, Albert Cardona, Johannes Schindelin, H. Sebastian Seung

    Udgivet 2015
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  9. 9
    Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network

    Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network af Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze, Erik B. Dam, Mads Nielsen

    Udgivet 2013
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  10. 10
    Knowledge and communication difficulties for patients with chronic heart failure: qualitative study

    Knowledge and communication difficulties for patients with chronic heart failure: qualitative study af Angie Rogers

    Udgivet 2000
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  11. 11
    Comparison of Regularization Methods for ImageNet Classification with Deep Convolutional Neural Networks

    Comparison of Regularization Methods for ImageNet Classification with Deep Convolutional Neural Networks af Evgeny Smirnov, Denis Timoshenko, С. Н. Андрианов

    Udgivet 2014
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  12. 12
    The integration of large-scale neural network modeling and functional brain imaging in speech motor control

    The integration of large-scale neural network modeling and functional brain imaging in speech motor control af Elisa Golfinopoulos, Jason A. Tourville, Frank H. Guenther

    Udgivet 2009
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  13. 13
    Classification of patterns of EEG synchronization for seizure prediction

    Classification of patterns of EEG synchronization for seizure prediction af Piotr Mirowski, Deepak Madhavan, Yann LeCun, Ruben Kuzniecky

    Udgivet 2009
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  14. 14
    Recent advances in the application of solution NMR spectroscopy to multi-span integral membrane proteins

    Recent advances in the application of solution NMR spectroscopy to multi-span integral membrane proteins af Hak Jun Kim, Stanley C. Howell, Wade D. Van Horn, Young Ho Jeon, Charles R. Sanders

    Udgivet 2009
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  15. 15
    Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation

    Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation af Seyed‐Mahdi Khaligh‐Razavi, Nikolaus Kriegeskorte

    Udgivet 2014
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  16. 16
    Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset

    Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Res... af Temesguen Messay, Russell C. Hardie, Timothy R. Tuinstra

    Udgivet 2015
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  17. 17
    DiANNA: a web server for disulfide connectivity prediction

    DiANNA: a web server for disulfide connectivity prediction af Fabrizio Ferrè, Peter Clote

    Udgivet 2005
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  18. 18
    Simulation of brain tumors in MR images for evaluation of segmentation efficacy

    Simulation of brain tumors in MR images for evaluation of segmentation efficacy af Marcel Prastawa, Elizabeth Bullitt, Guido Gerig

    Udgivet 2008
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  19. 19
    Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box

    Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box af Francesco Ciompi, Bartjan de Hoop, Sarah J. van Riel, Kaman Chung, Ernst T. Scholten, Matthijs Oudkerk, Pim A. de Jong, Mathias Prokop, Bram van Ginneken

    Udgivet 2015
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  20. 20
    Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach

    Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach af Nianyin Zeng, Zidong Wang, Bachar Zineddin, Yurong Li, Min Du, Liang Xiao, Xiaohui Liu, Terry Young

    Udgivet 2014
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