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Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use casesJournal of pathology informatics, 2016-01, Vol.7 (1), p.29-29, Article 29 [Peer Reviewed Journal]2016 The Authors ;Copyright Medknow Publications & Media Pvt Ltd 2016 ;Copyright: © 2016 Journal of Pathology Informatics 2016 ;ISSN: 2153-3539 ;ISSN: 2229-5089 ;EISSN: 2153-3539 ;DOI: 10.4103/2153-3539.186902 ;PMID: 27563488Full text available |
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Material Type: Article
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Using Deep Learning for Image-Based Plant Disease DetectionFrontiers in plant science, 2016-09, Vol.7, p.1419-1419 [Peer Reviewed Journal]Copyright © 2016 Mohanty, Hughes and Salathé. 2016 Mohanty, Hughes and Salathé ;ISSN: 1664-462X ;EISSN: 1664-462X ;DOI: 10.3389/fpls.2016.01419 ;PMID: 27713752Full text available |
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A review of unsupervised feature learning and deep learning for time-series modelingPattern recognition letters, 2014-06, Vol.42 (1), p.11 [Peer Reviewed Journal]ISSN: 0167-8655 ;ISSN: 1872-7344 ;EISSN: 1872-7344 ;DOI: 10.1016/j.patrec.2014.01.008Digital Resources/Online E-Resources |
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4 |
Material Type: Article
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Searching for exotic particles in high-energy physics with deep learningNature communications, 2014-07, Vol.5 (1), p.4308-4308, Article 4308 [Peer Reviewed Journal]Copyright Nature Publishing Group Jul 2014 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/ncomms5308 ;PMID: 24986233Full text available |
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5 |
Material Type: Article
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Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammographyMedical physics (Lancaster), 2016-12, Vol.43 (12), p.6654-6666 [Peer Reviewed Journal]American Association of Physicists in Medicine ;2016 American Association of Physicists in Medicine ;2016 American Association of Physicists in Medicine. 2016 American Association of Physicists in Medicine ;ISSN: 0094-2405 ;EISSN: 2473-4209 ;DOI: 10.1118/1.4967345 ;PMID: 27908154 ;CODEN: MPHYA6Full text available |
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6 |
Material Type: Article
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Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level setsMedical physics (Lancaster), 2016-04, Vol.43 (4), p.1882-1896 [Peer Reviewed Journal]American Association of Physicists in Medicine ;2016 American Association of Physicists in Medicine ;Copyright © 2016 American Association of Physicists in Medicine 2016 American Association of Physicists in Medicine ;ISSN: 0094-2405 ;EISSN: 2473-4209 ;DOI: 10.1118/1.4944498 ;PMID: 27036584 ;CODEN: MPHYA6Full text available |
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7 |
Material Type: Article
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Engineering Education and the Development of ExpertiseJournal of engineering education (Washington, D.C.), 2011-01, Vol.100 (1), p.123-150 [Peer Reviewed Journal]2011 American Society for Engineering Education ;ISSN: 1069-4730 ;EISSN: 2168-9830 ;DOI: 10.1002/j.2168-9830.2011.tb00006.x ;CODEN: JEEDEQFull text available |
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Material Type: Article
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ModDrop: adaptive multi-modal gesture recognitionIEEE transactions on pattern analysis and machine intelligence, 2016-08 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2015.2461544Digital Resources/Online E-Resources |
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9 |
Material Type: Article
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Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep LearningInvestigative ophthalmology & visual science, 2016-10, Vol.57 (13), p.5200-5206 [Peer Reviewed Journal]ISSN: 1552-5783 ;EISSN: 1552-5783 ;DOI: 10.1167/iovs.16-19964 ;PMID: 27701631Full text available |
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10 |
Material Type: Article
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Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity RecognitionSensors (Basel, Switzerland), 2016-01, Vol.16 (1), p.115 [Peer Reviewed Journal]2016 by the authors; licensee MDPI, Basel, Switzerland. 2016 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s16010115 ;PMID: 26797612Full text available |
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11 |
Material Type: Article
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Reading Text in the Wild with Convolutional Neural NetworksInternational journal of computer vision, 2016-01, Vol.116 (1), p.1-20 [Peer Reviewed Journal]Springer Science+Business Media New York 2015 ;COPYRIGHT 2016 Springer ;Springer Science+Business Media New York 2016 ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-015-0823-zFull text available |
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12 |
Material Type: Article
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Deep learning for computational biologyMolecular systems biology, 2016-07, Vol.12 (7), p.878-n/a [Peer Reviewed Journal]2016 The Authors. Published under the terms of the CC BY 4.0 license ;2016 The Authors. Published under the terms of the CC BY 4.0 license. ;2016 EMBO ;2016. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1744-4292 ;EISSN: 1744-4292 ;DOI: 10.15252/msb.20156651 ;PMID: 27474269Full text available |
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13 |
Material Type: Article
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Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral StreamThe Journal of neuroscience, 2015-07, Vol.35 (27), p.10005-10014 [Peer Reviewed Journal]Copyright © 2015 the authors 0270-6474/15/3510005-10$15.00/0. ;Copyright © 2015 the authors 0270-6474/15/3510005-10$15.00/0 2015 ;ISSN: 0270-6474 ;EISSN: 1529-2401 ;DOI: 10.1523/JNEUROSCI.5023-14.2015 ;PMID: 26157000Full text available |
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14 |
Material Type: Article
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Learning Hierarchical Features for Scene LabelingIEEE transactions on pattern analysis and machine intelligence, 2013-08, Vol.35 (8), p.1915-1929 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2012.231Digital Resources/Online E-Resources |
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15 |
Material Type: Article
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Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and RecognitionIEEE transactions on pattern analysis and machine intelligence, 2016-08, Vol.38 (8), p.1583-1597 [Peer Reviewed Journal]ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2016.2537340 ;PMID: 26955020 ;CODEN: ITPIDJDigital Resources/Online E-Resources |
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16 |
Material Type: Article
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Machine Learning in Genomic Medicine: A Review of Computational Problems and Data SetsProceedings of the IEEE, 2016-01, Vol.104 (1), p.176-197 [Peer Reviewed Journal]ISSN: 0018-9219 ;EISSN: 1558-2256 ;DOI: 10.1109/JPROC.2015.2494198 ;CODEN: IEEPADDigital Resources/Online E-Resources |
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17 |
Material Type: Article
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Molecular graph convolutions: moving beyond fingerprintsJournal of computer-aided molecular design, 2016-08, Vol.30 (8), p.595-608 [Peer Reviewed Journal]Springer International Publishing Switzerland 2016 ;ISSN: 0920-654X ;EISSN: 1573-4951 ;DOI: 10.1007/s10822-016-9938-8 ;PMID: 27558503Full text available |
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18 |
Material Type: Article
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Training Deep Spiking Neural Networks Using BackpropagationFrontiers in neuroscience, 2016-11, Vol.10, p.508-508 [Peer Reviewed Journal]2016. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2016 Lee, Delbruck and Pfeiffer. 2016 Lee, Delbruck and Pfeiffer ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2016.00508 ;PMID: 27877107Full text available |
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19 |
Material Type: Article
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A Deep Learning Approach for Network Intrusion Detection SystemEAI endorsed transactions on security and safety, 2016-12, Vol.3 (9), p.21-6 [Peer Reviewed Journal]2016. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2032-9393 ;DOI: 10.4108/eai.3-12-2015.2262516Full text available |
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Material Type: Article
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Deep convolutional neural networks for multi-modality isointense infant brain image segmentationNeuroImage (Orlando, Fla.), 2015-03, Vol.108, p.214-224 [Peer Reviewed Journal]2014 Elsevier Inc. ;Copyright © 2014 Elsevier Inc. All rights reserved. ;Copyright Elsevier Limited Mar 1, 2015 ;2014 Elsevier Inc. All rights reserved. 2014 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2014.12.061 ;PMID: 25562829Full text available |