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

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

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

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

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

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

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

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Crowdsourcing the creation of image segmentation algorithms for connectomics Dahkki 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

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

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

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

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

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

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

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

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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... Dahkki Temesguen Messay, Russell C. Hardie, Timothy R. Tuinstra

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

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

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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 Dahkki 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

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

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