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Publisher Correction: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

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Nature genetics 2019年第7期51卷 1192-1193页

作者： Rainer Malik Ganesh Chauhan Matthew Traylor Muralidharan Sargurupremraj Yukinori Okada Aniket Mishra Loes Rutten-Jacobs Anne-Katrin Giese Sander W van der Laan Solveig Gretarsdottir Christopher D Anderson Michael Chong Hieab H H Adams Tetsuro Ago Peter Almgren Philippe Amouyel Hakan Ay Traci M Bartz Oscar R Benavente Steve Bevan Giorgio B Boncoraglio Robert D Brown Adam S Butterworth Caty Carrera Cara L Carty Daniel I Chasman Wei-Min Chen John W Cole Adolfo Correa Ioana Cotlarciuc Carlos Cruchaga John Danesh Paul I W de Bakker Anita L DeStefano Marcel den Hoed Qing Duan Stefan T Engelter Guido J Falcone Rebecca F Gottesman Raji P Grewal Vilmundur Gudnason Stefan Gustafsson Jeffrey Haessler Tamara B Harris Ahamad Hassan Aki S Havulinna Susan R Heckbert Elizabeth G Holliday George Howard Fang-Chi Hsu Hyacinth I Hyacinth M Arfan Ikram Erik Ingelsson Marguerite R Irvin Xueqiu Jian Jordi Jiménez-Conde Julie A Johnson J Wouter Jukema Masahiro Kanai Keith L Keene Brett M Kissela Dawn O Kleindorfer Charles Kooperberg Michiaki Kubo Leslie A Lange Carl D Langefeld Claudia Langenberg Lenore J Launer Jin-Moo Lee Robin Lemmens Didier Leys Cathryn M Lewis Wei-Yu Lin Arne G Lindgren Erik Lorentzen Patrik K Magnusson Jane Maguire Ani Manichaikul Patrick F McArdle James F Meschia Braxton D Mitchell Thomas H Mosley Michael A Nalls Toshiharu Ninomiya Martin J O'Donnell Bruce M Psaty Sara L Pulit Kristiina Rannikmäe Alexander P Reiner Kathryn M Rexrode Kenneth Rice Stephen S Rich Paul M Ridker Natalia S Rost Peter M Rothwell Jerome I Rotter Tatjana Rundek Ralph L Sacco Saori Sakaue Michele M Sale Veikko Salomaa Bishwa R Sapkota Reinhold Schmidt Carsten O Schmidt Ulf Schminke Pankaj Sharma Agnieszka Slowik Cathie L M Sudlow Christian Tanislav Turgut Tatlisumak Kent D Taylor Vincent N S Thijs Gudmar Thorleifsson Unnur Thorsteinsdottir Steffen Tiedt Stella Trompet Christophe Tzourio Cornelia M van Duijn Matthew Walters Nicholas J Wareham Sylvia Wassertheil-Smoller James G Wilson Kerri L Wiggins Qiong Yang Salim Yusuf Joshua C Bis Tomi Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Munich Germany. Centre for Brain Research Indian Institute of Science Bangalore India. INSERM U1219 Bordeaux Population Health Research Center University of Bordeaux Bordeaux France. Stroke Research Group Division of Clinical Neurosciences University of Cambridge Cambridge UK. Department of Neurology Institute for Neurodegenerative Disease Bordeaux University Hospital Bordeaux France. Laboratory for Statistical Analysis RIKEN Center for Integrative Medical Sciences Yokohama Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Osaka Japan. Laboratory of Statistical Immunology Immunology Frontier Research Center (WPI-IFReC) Osaka University Suita Japan. Department of Neurology Massachusetts General Hospital (MGH) Harvard Medical School Boston MA USA. Laboratory of Experimental Cardiology Department of Cardiology Division of Heart and Lungs University Medical Center Utrecht University of Utrecht Utrecht the Netherlands. deCODE genetics/AMGEN Inc. Reykjavik Iceland. Center for Genomic Medicine MGH Boston MA USA. J. Philip Kistler Stroke Research Center Department of Neurology MGH Boston MA USA. Program in Medical and Population Genetics Broad Institute Cambridge MA USA. Population Health Research Institute McMaster University Hamilton Ontario Canada. Department of Epidemiology Erasmus University Medical Center Rotterdam the Netherlands. Department of Radiology and Nuclear Medicine Erasmus University Medical Center Rotterdam the Netherlands. Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan. Department of Clinical Sciences Lund University Malmö Sweden. INSERM Institut Pasteur de Lille LabEx DISTALZ-UMR1167 Risk Factors and Molecular Determinants of Aging-Related Diseases Université Lille Lille France. Centre Hospitalier Université Lille Epidemiology and Public Health D

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Correction to: Genome-enabled insights into the biology of thrips as crop pests

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BMC biology 2020年第1期18卷 169页

作者： Dorith Rotenberg Aaron A Baumann Sulley Ben-Mahmoud Olivier Christiaens Wannes Dermauw Panagiotis Ioannidis Chris G C Jacobs Iris M Vargas Jentzsch Jonathan E Oliver Monica F Poelchau Swapna Priya Rajarapu Derek J Schneweis Simon Snoeck Clauvis N T Taning Dong Wei Shirani M K Widana Gamage Daniel S T Hughes Shwetha C Murali Samuel T Bailey Nicolas E Bejerman Christopher J Holmes Emily C Jennings Andrew J Rosendale Andrew Rosselot Kaylee Hervey Brandi A Schneweis Sammy Cheng Christopher Childers Felipe A Simão Ralf G Dietzgen Hsu Chao Huyen Dinh Harsha Vardhan Doddapaneni Shannon Dugan Yi Han Sandra L Lee Donna M Muzny Jiaxin Qu Kim C Worley Joshua B Benoit Markus Friedrich Jeffery W Jones Kristen A Panfilio Yoonseong Park Hugh M Robertson Guy Smagghe Diane E Ullman Maurijn van der Zee Thomas Van Leeuwen Jan A Veenstra Robert M Waterhouse Matthew T Weirauch John H Werren Anna E Whitfield Evgeny M Zdobnov Richard A Gibbs Stephen Richards Department of Entomology and Plant Pathology North Carolina State University Raleigh NC 27695 USA. drotenb@ncsu.edu. Virology Section College of Veterinary Medicine University of Tennessee A239 VTH 2407 River Drive Knoxville TN 37996 USA. Department of Entomology and Nematology University of California Davis Davis CA 95616 USA. Laboratory of Agrozoology Department of Plants and Crops Ghent University Coupure Links 653 9000 Ghent Belgium. Institute of Molecular Biology and Biotechnology Foundation for Research and Technology-Hellas Vassilika Vouton 70013 Heraklion Greece. Department of Genetic Medicine and Development University of Geneva Medical School and Swiss Institute of Bioinformatics Geneva Switzerland. Institute of Biology Leiden University 2333 BE Leiden The Netherlands. Institute for Zoology: Developmental Biology University of Cologne 50674 Cologne Germany. Department of Plant Pathology University of Georgia - Tifton Campus Tifton GA 31793-5737 USA. National Agricultural Library USDA-ARS Beltsville MD 20705 USA. Department of Entomology and Plant Pathology North Carolina State University Raleigh NC 27695 USA. Department of Plant Pathology Kansas State University Manhattan KS 66506 USA. Department of Biology University of Washington Seattle WA 98105 USA. Chongqing Key Laboratory of Entomology and Pest Control Engineering College of Plant Protection Southwest University Chongqing China. International Joint Laboratory of China-Belgium on Sustainable Crop Pest Control Academy of Agricultural Sciences Southwest University Chongqing China and Ghent University Ghent Belgium. Department of Botany University of Ruhuna Matara Sri Lanka. Human Genome Sequencing Center Department of Human and Molecular Genetics Baylor College of Medicine One Baylor Plaza Houston TX 77030 USA. Department of Biological Sciences University of Cincinnati Cincinnati OH 45221 USA. IPAVE-CIAP-INTA 5020 Cordoba Argentina. Department of Biology Mo

An amendment to this paper has been published and can be accessed via the original article.

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Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

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Nature communications 2019年第1期10卷 588页

作者： Lena Maier-Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic Patrick Scholz Tal Arbel Hrvoje Bogunovic Andrew P Bradley Aaron Carass Carolin Feldmann Alejandro F Frangi Peter M Full Bram van Ginneken Allan Hanbury Katrin Honauer Michal Kozubek Bennett A Landman Keno März Oskar Maier Klaus Maier-Hein Bjoern H Menze Henning Müller Peter F Neher Wiro Niessen Nasir Rajpoot Gregory C Sharp Korsuk Sirinukunwattana Stefanie Speidel Christian Stock Danail Stoyanov Abdel Aziz Taha Fons van der Sommen Ching-Wei Wang Marc-André Weber Guoyan Zheng Pierre Jannin Annette Kopp-Schneider Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. l.maier-hein@dkfz.de. Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Centre for Intelligent Machines McGill University Montreal QC H3A0G4 Canada. Christian Doppler Laboratory for Ophthalmic Image Analysis Department of Ophthalmology Medical University Vienna 1090 Vienna Austria. Science and Engineering Faculty Queensland University of Technology Brisbane QLD 4001 Australia. Department of Electrical and Computer Engineering Department of Computer Science Johns Hopkins University Baltimore MD 21218 USA. CISTIB - Center for Computational Imaging & Simulation Technologies in Biomedicine The University of Leeds Leeds Yorkshire LS2 9JT UK. Department of Radiology and Nuclear Medicine Medical Image Analysis Radboud University Center 6525 GA Nijmegen The Netherlands. Institute of Information Systems Engineering TU Wien 1040 Vienna Austria. Complexity Science Hub Vienna 1080 Vienna Austria. Heidelberg Collaboratory for Image Processing (HCI Heidelberg University 69120 Heidelberg Germany. Centre for Biomedical Image Analysis Masaryk University 60200 Brno Czech Republic. Electrical Engineering Vanderbilt University Nashville TN 37235-1679 USA. Institute of Medical Informatics Universität zu Lübeck 23562 Lübeck Germany. Division of Medical Image Computing (MIC) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Institute for Advanced Studies Department of Informatics Technical University of Munich 80333 Munich Germany. Information System Institute HES-SO Sierre 3960 Switzerland. Departments of Radiology Nuclear Medicine and Medical Informatics Erasmus MC 3015 GD Rotterdam The Netherlands. Department of Computer Science University of Warwick Coventry CV4 7AL UK. Department of Radiation Oncology Massachusetts General Hospital Boston MA

In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Possible structural origin of superconductivity in Sr-doped Bi2Se3

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Physical Review Materials 2018年第1期2卷 014201-014201页

作者： Zhuojun Li Meng Wang Dejiong Zhang Nan Feng Wenxiang Jiang Chaoqun Han Weijiong Chen Mao Ye Chunlei Gao Jinfeng Jia Jixue Li Shan Qiao Dong Qian Ben Xu He Tian Bo Gao CAS Center for Excellence in Superconducting Electronics (CENSE) Shanghai 200050 China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 865 Changning Road Shanghai 200050 China University of Chinese Academy of Sciences Beijing 100049 China Center of Electron Microscopy and State Key Laboratory of Silicon Materials School of Materials Science and Engineering Zhejiang University Hangzhou 310027 China State Key Laboratory of New Ceramics and Fine Processing Department of Materials Science and Engineering Tsinghua University Beijing 100084 People's Republic of China Key Laboratory of Artificial Structures and Quantum Control (Ministry of Education) School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China State Key Laboratory of Surface Physics and Department of Physics Fudan University Shanghai 200433 China Collaborative Innovation Center of Advanced Microstructures Nanjing 210093 China

Doping bismuth selenide (Bi2Se3) with elements such as copper and strontium (Sr) can induce superconductivity, making the doped materials interesting candidates to explore potential topological superconducting behaviors. It was thought that the superconductivity of doped Bi2Se3 was induced by dopant atoms intercalated in van der Waals gaps. However, several experiments have shown that the intercalation of dopant atoms may not necessarily make doped Bi2Se3 superconducting. Thus, the structural origin of superconductivity in doped Bi2Se3 remains an open question. Herein, we combined material synthesis and characterization, high-resolution transmission electron microscopy, and first-principles calculations to study the doping structure of Sr-doped Bi2Se3. We found that the emergence of superconductivity is strongly related with n-type dopant atoms. Atomic-level energy-dispersive x-ray mapping revealed various n-type Sr dopants that occupy intercalated and interstitial positions. First-principles calculations showed that the formation energy of a specific interstitial Sr doping position depends strongly on the Sr doping level. This site changes from a metastable position at low Sr doping level to a stable position at high Sr doping level. The calculation results explain why quenching is necessary to obtain superconducting samples when the Sr doping level is low and also why slow furnace cooling can yield superconducting samples when the Sr doping level is high. Our findings suggest that Sr atoms doped at interstitial locations, instead of those intercalated in van der Waals gaps, are most likely to be responsible for the emergence of superconductivity in Sr-doped Bi2Se3.

关键词： Dopants Impurities in superconductors

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Deep learning for quality control of subcortical brain 3D shape models

arXiv

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arXiv 2018年

作者： Petrov, Dmitry Gutman, Boris A. Kuznetsov, Egor van Erp, Theo G.M. Turner, Jessica A. Schmaal, Lianne Veltman, Dick Wang, Lei Alpert, Kathryn Isaev, Dmitry Zavaliangos-Petropulu, Artemis Ching, Christopher R.K. Calhoun, Vince Glahn, David Satterthwaite, Theodore D. Andreassen, Ole Andreas Borgwardt, Stefan Howells, Fleur Groenewold, Nynke Voineskos, Aristotle Radua, Joaquim Potkin, Steven G. Crespo-Facorro, Benedicto Tordesillas-Gutirrez, Diana Shen, Li Lebedeva, Irina Spalletta, Gianfranco Donohoe, Gary Kochunov, Peter Rosa, Pedro G.P. James, Anthony Dannlowski, Udo Baune, Bernhard T. Aleman, Andr Gotlib, Ian H. Walter, Henrik Walter, Martin Soares, Jair C. Ehrlich, Stefan Gur, Ruben C. Trung Doan, N. Agartz, Ingrid Westlye, Lars T. Harrisberger, Fabienne Riecher-Rössler, Anita Uhlmann, Anne Stein, Dan J. Dickie, Erin W. Pomarol-Clotet, Edith Fuentes-Claramonte, Paola Canales-Rodrguez, Erick Jorge Salvador, Raymond Huang, Alexander J. Roiz-Santiaez, Roberto Cong, Shan Tomyshev, Alexander Piras, Fabrizio Vecchio, Daniela Banaj, Nerisa Ciullo, Valentina Hong, Elliot Busatto, Geraldo Zanetti, Marcus V. Serpa, Mauricio H. Cervenka, Simon Kelly, Sinead Grotegerd, Dominik Sacchet, Matthew D. Veer, Ilya M. Li, Meng Wu, Mon-Ju Irungu, Benson Walton, Esther Thompson, Paul M. Imaging Genetics Center Stevens Institute for Neuroimaging and Informatics University of Southern California Marina Del ReyCA United States Institute for Information Transmission Problems Moscow Russia Department of Biomedical Engineering Illinois Institute of Technology ChicagoIL United States Department of Psychiatry and Human Behavior University of California Irvine IrvineCA United States Department of Psychiatry Northwestern University ChicagoIL United States Psychology Department & Neuroscience Institute Georgia State University AtlantaGA United States Yale University School of Medicine New HavenCT United States Department of Psychiatry University of Pennsylvania School of Medicine PhiladelphiaPA United States CoE NORMENT KG Jebsen Centre for Psychosis Research Division of Mental Health and Addiction Oslo University Hospital Institute of Clinical Medicine University of Oslo Oslo Norway Department of Psychiatry University of Basel Basel Switzerland MRC Unit on Risk & Resilience to Mental Disorders Department of Psychiatry and Mental Health University of Cape Town Cape Town South Africa Centre for Addiction and Mental Health Toronto Canada FIDMAG Germanes Hospitalaries Research Foundation Barcelona Spain University Hospital Marqus de Valdecilla IDIVAL Department of Psychiatry School of Medicine University of Cantabria Santander Spain Department of Radiology and Imaging Sciences Indiana University School of Medicine IndianapolisIN United States Mental Health Research Center Moscow Russia Laboratory of Neuropsychiatry Santa Lucia Foundation IRCCS Rome Italy School of Psychology NUI Galway Galway Ireland Maryland Psychiatric Research Center University of Maryland School of Medicine Baltimore United States Department of Psychiatry Faculty of Medicine University of São Paulo São Paulo Brazil University of Oxford Oxford United Kingdom Centre for Psychiatry Research Department of Clinical Neuroscience Karolinska Institutet Stockholm Sw

We present several deep learning models for assessing the morphometric fidelity of deep grey matter region models extracted from brain MRI. We test three different convolutional neural net architectures (VGGNet, ResNet and Inception) over 2D maps of geometric features. Further, we present a novel geometry feature augmentation technique based on parametric spherical mapping. Finally, we present an approach for model decision visualization, allowing human raters to see the areas of subcortical shapes most likely to be deemed of failing quality by the machine. Our training data is comprised of 5200 subjects from the ENIGMA Schizophrenia MRI cohorts, and our test dataset contains 1500 subjects from the ENIGMA Major Depressive Disorder cohorts. Our final models reduce human rater time by 46-70%. ResNet outperforms VGGNet and Inception for all of our predictive tasks. Copyright © 2018, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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The 5th International Conference on Biomedical engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC medical IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Abstracts from the 8th International Congress of the Asia Pacific Society of Infection control (APSIC)

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Antimicrobial Resistance & Infection control 2017年第2期6卷 1-49页

作者： Nantanit Sutthiruk Mari Botti Ana Hutchinson Julie Considine Andrea Driscoll Kumthorn Malathum Cucunawangsih Cucunawangsih Veronica Wiwing Vivien Puspitasari Rathina Kumar Shanmugakani Yukihiro Akeda Kazunori Tomono Takuya Kodera Pitak Santanirand Takayuki Yamanaka Yuho Horikoshi Hiroyuki Moriuchi Hiroyuki Kitajima Alyona Lavrinenko Nurlan Tabriz Margulan Kozhamuratov Yekatherine Serbo Ilya Azizov Dahae Yang Woonhyoung Lee Il Kwon Bae Jae Hyun Lee Hyukmin Lee Jung Ok Kim Seok Hoon Jeong Kyungwon Lee Thiba Peremalo Sharina Hamzah Priya Madhavan Eng Hwa Wong Leslie Than Mohd Nasir Mohd Desa Kee Peng Ng Marionne Geronimo Maria Fe Tayzon Maria Jesusa Maño Angela Chow Pei-Yun Hon Mar-Kyaw Win Brenda Ang Yee-Sin Leo Tina See Rocio Alvarez Marin Nicolas Kieffer Patrice Nordmann Laurent Poirel Marta Aires de Sousa Wison Laochareonsuk Sireekul Petyu Pawin Wanasitchaiwat Sutasinee Thana Chollathip Bunyaphongphan Woranan Boonsomsuk Pakpoom Maneepongpermpoon Silom Jamulitrat Dorairajan Sureshkumar Kalyanaraman Supraja Soundararajan Sharmila Benny Setiawan Nicolaski Lumbuun Haruo Nakayama Toshiko Ota Naoko Shirane Chikako Matuoka Kentaro Kodama Masanobu Ohtsuka Silverose Ann Andales Bacolcol Melecia Velmonte Allan Alde Keithleen Chavez Arlene Joy Esteban Aisa Jensen Lee Shio-ShinJean Tai-Chin Hsieh Huey-Jen Huang Shu-Ju Huang Yu-Huan Huang Pei-Chen Cheng Su-Fang Yu Shih-Ming Tsao Yuan-Ti Lee Chien-Feng Li Min-Chi Lu Nattapol Pruetpongpun Thana Khawcharoenporn Pansachee Damronglerd Nuntra Suwantarat Anucha Apisarnthanarak Sasinuch Rutjanawech Lisa Cushinotto Patty McBride Harding Williams Jr Hans Liu Phan Thi Hang Dinh Pham Phuong Anh Ngai Le Dung Khu Lam Nguyen Roel Beltran Castillo Ram Gopalakrishnan Venkatasubramanian Ramasubramanian Subramanian Sreevidya Ranganathan Jayapradha Atsushi Umetsu Tetsuhiro Noda Kenyuu Hashimoto Akihiro Hayashi Mikie Kabashima Ursula Jadczak Knut Elvelund Marit Johnsen Bente Borgen Egil Lingaas Chia-Hua Mao Fu-Chieh Chang Chang-Pan Liu Ru-Hui Chao Fu-chieh Chang Chang-pan Liu Junpen Pawapotako C Deakin University Melbourne Australia Epworth HealthCare Deakin University Melbourne Australia Eastern Health Deakin University Melbourne Australia Austin Health Deakin University Melbourne Australia Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok Thailand Ramathibodi Hospital Bangkok Thailand Faculty of Medicine Ramathibodi Hospital Bangkok Thailand Microbiology Department Faculty of Medicine Pelita Harapan University Tangerang Banten Indonesia Department of Microbiology Faculty of Medicine University of Pelita Harapan Tangerang Banten Indonesia Neuro Department Faculty of Medicine Pelita Harapan University Tangerang Banten Indonesia Department of Infection Control and Prevention Graduate School of Medicine Osaka University Osaka Japan Division of Infection Control and Prevention Osaka University Hospital Osaka Japan Research Institute for Microbial Diseases Osaka University Osaka Japan Tohoku Bio-Array Sendai Japan Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok Thailand Division of Infectious Diseases Department of Pediatrics Tokyo Metropolitan Children’s Medical Center Fuchu Tokyo Japan Department of Pediatrics Nagasaki University Hospital Nagasaki Japan Department of Neonatal Medicine Osaka Medical Center and Research Institute for Maternal and Child Health Osaka Japan Karaganda State Medical University Karaganda Kazakhstan Institute of Antimicrobial Chemotherapy Smolensk Russia Institute of Antimicrobial Chemotherapy Smolensk Russian Federation Department of Laboratory Medicine Kosin University College of Medicine Busan Korea Department of Dental Hygiene Silla University Busan Korea Yeongam-gun Public Health Center Yeongam Korea Department of Laboratory Medicine and Research Institute of Bacterial Resistance Yonsei University College of Medicine Seoul Korea School of Pharmacy Taylor’s University Lakeside Campus Subang Jaya Selangor Darul Ehsan Malaysia School of Medicine Taylor’s Univers

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