检索结果-内蒙古大学图书馆

Asia-Pacific Optical Sensors Conference, APOS 2016

作者： Badmos, Abdulyezir Sun, Qizhen Sun, Zhongyuan Yan, Zhijun Zhang, Lin Aston Institute of Photonic Technologies Aston University BirminghamB4 7ET United Kingdom School of Optical and Electronic Information National Engineering Laboratory for Next Generation Internet Access System Huazhong University of Science and Technology Wuhan430074 China

Dual-peak long period fibre grating UV-inscribed in boron-germanium (B/Ge) doped 80μm-cladding at near infrared region is presented for sugar concentration and glucose detection. High sensitivities of ~4.6696 nm/% an... 详细信息

ISBN: (纸本)9780960038053

关键词： Glucose

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of Area-Efficient and Low-Power Configurable Booth-Multiplier

Design and Implementation of Area-Efficient and Low-Power Co...

引用

International Conference on VLSI Design

作者： Rahul Shrestha Utkarsh Rastogi Center for VLSI and Embedded System Technologies (CVEST) International Institute of Information Technology Hyderabad Department of Electronics and Communication Engineering National Institute of Technology Warangal

This paper presents an area-efficient low-power architecture for configurable booth multiplier. It is synthesized and post-layout simulated using 90 nm CMOS process and it occupies 9511 μm 2 and consumes 1.73 mW at 167 MHz. Comparatively, the proposed multiplier architecture requires 43.12% and 75.65% lower area and power, respectively, in comparison with the state of the art work.

关键词： Clocks Logic gates Very large scale integration Generators Multiplexing Switches Silicon

来源：评论

学校读者我要写书评

暂无评论

Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019

引用

The Lancet 2020年第10258期396卷 1160-1203页

作者： Abbafati, C. Machado, D.B. Cislaghi, B. Salman, O.M. Karanikolos, M. McKee, M. Abbas, K.M. Brady, O.J. Larson, H.J. Trias-Llimós, S. Cummins, S. Langan, S.M. Sartorius, B. Hafiz, A. Jenabi, E. Mohammad Gholi Mezerji, N. Borzouei, S. Azarian, G. Khazaei, S. Abbasi, M. Asghari, B. Masoumi, S. Komaki, H. Taherkhani, A. Adabi, M. Abbasifard, M. Bazmandegan, G. Kamiab, Z. Vakilian, A. Anjomshoa, M. Mokari, A. Sabour, S. Shahbaz, M. Saeedi, R. Ahmadieh, H. Yousefinezhadi, T. Haj-Mirzaian, A. Nikbakhsh, R. Safi, S. Asgari, S. Irvani, S.N. Jahanmehr, N. Ramezanzadeh, K. Abbasi-Kangevari, M. Khayamzadeh, M. Abbastabar, H. Shirkoohi, R. Fazlzadeh, M. Janjani, H. Hosseini, M. Mansournia, M. Tohidinik, H. Bakhtiari, A. Fazaeli, A. Mousavi, S. Hasanzadeh, A. Nabavizadeh, B. Malekzadeh, R. Hashemian, M. Pourshams, A. Salimzadeh, H. Sepanlou, S.G. Afarideh, M. Esteghamati, A. Esteghamati, S. Ghajar, A. Heidari, B. Rezaei, N. Mohamadi, E. Rahimi-Movaghar, A. Rahim, F. Eskandarieh, S. Sahraian, M. Mohebi, F. Aminorroaya, A. Ebrahimi, H. Farzadfar, F. Mohajer, B. Pishgar, F. Saeedi Moghaddam, S. Shabani, M. Zarafshan, H. Abolhassani, H. Hafezi-Nejad, N. Heidari-Soureshjani, R. Abdollahi, M. Farahmand, M. Salamati, P. Mehrabi Nasab, E. Tajdini, M. Aghamir, S. Mirzaei, R. Dibaji Forooshani, Z. Khater, M.M. Abd-Allah, F. Abdelalim, A. Abualhasan, A. El-Jaafary, S.I. Hassan, A. Elsharkawy, A. Khater, A.M. Elhabashy, H.R. Salem, M.R.R. Salem, H. Sadeghi, M. Jafarinia, M. Amini-Rarani, M. Mohammadifard, N. Sarrafzadegan, N. Abdollahpour, I. Sarveazad, A. Tehrani-Banihashemi, A. Yoosefi Lebni, J. Manafi, N. Pazoki Toroudi, H. Dorostkar, F. Alipour, V. Sheikhtaheri, A. Arabloo, J. Azari, S. Ghashghaee, A. Rezapour, A. Naserbakht, M. Kabir, A. Mehri, F. Yousefifard, M. Asadi-Aliabadi, M. Babaee, E. Eshrati, B. Goharinezhad, S. Moradi-Lakeh, M. Abedi, P. Rashedi, V. Kumar, V. Elgendy, I.Y. Basu, S. Park, J. Pereira, A. Norheim, O.F. Eagan, A.W. Cahill, L.E. Sheikh, A. Abushouk, A.I. Kraemer, M.U.G. Thakur, B. Bärnighausen, T.W. Shrime, M.G. Department of Juridical and Economic Studies La Sapienza University Rome Italy Centre for Global Mental Health (CGMH) London School of Hygiene & Tropical Medicine London United Kingdom Department of Global Health and Development London School of Hygiene & Tropical Medicine London United Kingdom Department of Health Services Research and Policy London School of Hygiene & Tropical Medicine London United Kingdom Department of Infectious Disease Epidemiology London School of Hygiene & Tropical Medicine London United Kingdom Department of Non-communicable Disease Epidemiology London School of Hygiene & Tropical Medicine London United Kingdom Department of Public Health Environments and Society London School of Hygiene & Tropical Medicine London United Kingdom European Observatory on Health Systems and Policies London School of Hygiene & Tropical Medicine London United Kingdom Faculty of Epidemiology and Population Health London School of Hygiene & Tropical Medicine London United Kingdom Faculty of Infectious and Tropical Diseases London School of Hygiene & Tropical Medicine London United Kingdom MSc Epidemiology Programme London School of Hygiene & Tropical Medicine London United Kingdom Autism Spectrum Disorders Research Center Hamadan Iran Department of Biostatistics Hamadan Iran Department of Endocrinology Hamadan Iran Department of Environmental Health Engineering Hamadan Iran Department of Epidemiology Hamadan Iran Department of Internal Medicine Hamadan Iran Department of Microbiology Hamadan Iran Department of Midwifery Hamadan Iran Neurophysiology Research Center Hamadan Iran Research Center for Molecular Medicine Hamadan Iran Hamadan University of Medical Sciences Hamadan Iran Clinical Research Development Unit Rafsanjan University of Medical Sciences Rafsanjan Iran Department of Internal Medicine Rafsanjan University of Medical Sciences Rafsanjan Iran Department of Neurology Rafsanjan University of Medical Sciences Rafsanjan Iran Department of

Background: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods: 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10–14 and 50–54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bay

关键词：

来源：评论

学校读者我要写书评

暂无评论

Five insights from the Global Burden of Disease Study 2019

引用

The Lancet 2020年第10258期396卷 1135-1159页

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3·5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimates are publicly available and adhere to the Guidelines on Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers. © 2020 Elsevier Ltd

关键词：

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to “Groove-shape-induced bandwidth expansion of spoof surface plasmon polaritons on planar corrugated Goubau line in millimeter-wave range” [Opt. Commun. 380 (2016) 352–356]

引用

Optics Communications 2018年 407卷 424-424页

作者： Peng Wei XuGuang Guo Cheng Zhang Rui Yang YiMing Zhu Engineering Research Center of Optical Instrument and System Ministry of Education and Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai 200093 China Key Laboratory of Terahertz Solid-State Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 865 Changning Road Shanghai 200050 China BOCOM Smart Network Technologies Inc. 20F Guangqi Mansion No. 456 Hongcao Road Xuhui District Shanghai 200030 China

来源：评论

学校读者我要写书评

暂无评论

Knowledge of extraction from trained neural network by using decision tree

Knowledge of extraction from trained neural network by using...

引用

International Conference on Science in information Technology (ICSITech)

作者： Soleh Ardiansyah Mazlina Abdul Majid Jasni Mohamad Zain Department of Information Systems Kalimantan Institute of Technology Balikpapan Indonesia Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Gambang-Kuantan Malaysia

ISBN: (纸本)9781509017225

Inside the sets of data, hidden knowledge can be acquired by using neural network. These knowledge are described within topology, using activation function and connection weight at hidden neurons and output neurons. Is hardly to be understanding since neural networks act as a black box. The black box problem can be solved by extracting knowledge (rule) from trained neural network. Thus, the aim of this paper is to extract valuable information from trained neural networks using decision. Further, the Levenberg Marquardt algorithm was applied to training 30 networks for each datasets, using learning parameters and basis weights differences. As the number of hidden neurons increase, mean squared error and mean absolute percentage error decrease, and more time they need to deal with the dataset, that is result of investigation from neural network architectures. Decision tree induction generally performs better in knowledge extraction result with accuracy and precision level from 84.07 to 93.17 percent. The extracted rule can be used to explaining the process of the neural network systems and also can be applied in other systems like expert systems.

关键词： Biological neural networks Neurons Training Forecasting Predictive models Data mining Decision trees

来源：评论

学校读者我要写书评

暂无评论

A novel architecture for computing eigenvalues of matrix for high speed applications

A novel architecture for computing eigenvalues of matrix for...

引用

IEEE India Conference (INDICON)

作者： Soumitr Sanjay Dubey Rahul Shrestha Shubhajit Roy Chowdhury Center for VLSI and Embedded System Technologies International Institute of Information Technology Hyderabad India School of Computing and Electrical Engineering Indian Institute of Technology Mandi India

ISBN: (纸本)9781509036479

This paper presents a new approach of calculating eigenvalues of any matrix, using triangular systolic array (TSA) architecture which incorporates three angle complex-rotation (TACR) architecture, as it reduces area and latency of the design. This TACR architecture has been further modified to reduce the area utilized by the architecture. Subsequently, the very-large scale-integration (VLSI) architecture has been conceived to calculate eigenvalues of general matrix using QR algorithm. Additionally, comparative study regarding the resource utilization on complex Givens rotation (CGR) and TACR with the proposed architecture has been carried out. Thereafter, the TACR architecture has been used in TSA architecture for the implementation of QR algorithm. Finally, latency of our design is 2.7 mS which is approximately 28 χ faster than the general purpose computer based solution. Power consumed by the design is 577 mW at a maximum clock frequency of 891 MHz which gives an error in the range of 0.001.

关键词： Computer architecture Matrix decomposition Ports (Computers) Eigenvalues and eigenfunctions Delays Very large scale integration Multiplexing

来源：评论

学校读者我要写书评

暂无评论

Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019

引用

Nature communications 2025年第1期16卷 4235-4235页

作者： Cecilia Anza-Ramirez J. Jaime Miranda Benedetta Armocida Jorge César Correia Harriette Gillian Christine Van Spall David Beran Amirali Aali Kalkidan Hassen Abate Semagn Mekonnen Abate Cristiana Abbafati Mohsen Abbasi-Kangevari Zeinab Abbasi-Kangevari Zahra Aryan Sina Azadnajafabad Mohammadreza Azangou-Khyavy Seyyed-Hadi Ghamari Mohammad Keykhaei Javad Khanali Sara Momtazmanesh Fateme Montazeri Shayan Rahmani Mohammad-Mahdi Rashidi Nazila Rezaei Negar Rezaei Sahar Saeedi Moghaddam Hossein Hassanian-Moghaddam Ali-Asghar Kolahi Ali Nikoobar Hedayat Abbastabar Ahmed M. Abdel-Azeem Michael Abdelmasseh Juan Sanabria Sherief Abd-Elsalam Ahmed Abdelwahab Gholamreza Abdoli Mohammad Abdollahi Meriem Abdoun Deldar Morad Abdulah Abu Yousuf Md Abdullah Ame Mehadi Abdurehman Getachew Abebe Aidin Abedi Chirag P. Doshi Vida Abedi Hassan Abidi Richard Gyan Aboagye Hassan Abolhassani Nima Rezaei Lucas Guimarães Abreu Michael R. M. Abrigo Yonas Derso Abtew Hiwa Abubaker Ali Eman Abu-Gharbieh Hiba Jawdat Barqawi Rabih Halwani Maha Mohamed Saber-Ayad Iman M. Talaat Ahmed Abu-Zaid Manfred Mario Kokou Accrombessi Juan Manuel Acuna Denberu Eshetie Adane Tigist Demssew Adane Isaac Yeboah Addo Giovanni Addolorato Oluwafemi Atanda Adeagbo Victor Adekanmbi Miracle Ayomikun Adesina Isaac Iyinoluwa Olufadewa Olatunji O. Adetokunboh Daniel Adedayo Adeyinka Qorinah Estiningtyas Sakilah Adnani Aanuoluwapo Adeyimika Afolabi Olayinka Stephen Ilesanmi Muhammad Sohail Afzal Saira Afzal Gina Agarwal Prerna Agarwal Pradyumna Agasthi Anurag Agrawal Marcela Agudelo-Botero Adolfo Martinez-Valle Bright Opoku Ahinkorah Aqeel Ahmad Sajjad Ahmad Sohail Ahmad Tauseef Ahmad Ali Ahmadi Siamak Sabour Keivan Ahmadi Sanjay Basu Sepideh Ahmadi Ali Ahmed Shaun Wen Huey Lee Ayman Ahmed Haroon Ahmed Jivan Qasim Ahmed Gahin Abdulraheem Tayib Yahya Yahya Luai A. Ahmed Iffat Elbarazi Syed Mahboob Shah Janardhana P. Aithala Marjan Ajami Budi Aji Hossein Akbarialiabad Yibeltal Akelew Meisam Akhlaghdoust Elham Jamshidi Addis Aklilu Azene Tesfaye Melat Woldemariam Maxwell Ak CRONICAS Center of Excellence in Chronic Diseases Universidad Peruana Cayetano Heredia Lima Peru School of Medicine Universidad Peruana Cayetano Heredia Lima Peru Sydney School of Public Health Faculty of Medicine and Health University of Sydney Sydney NSW Australia Faculty of Epidemiology and Population Health London School of Hygiene & Tropical Medicine London UK Division of Tropical and Humanitarian Medicine University of Geneva Geneva Switzerland Department of Cardiovascular Endocrine-metabolic Diseases and Aging Istituto Superiore di Sanità Rome Italy Division of Endocrinology Diabetology Nutrition and Therapeutic Patient Education Department of Medicine Geneva University Hospitals Geneva Switzerland Department of Medicine and Department of Health Research Evidence and Impact McMaster University Hamilton ON Canada Research Institute of St. Joe’s Hamilton ON Canada Population Health Research Institute Hamilton Canada Geneva University Hospitals Geneva Switzerland Faculty of Medicine Mashhad University of Medical Sciences Mashhad Iran Department of Nutrition and Dietetics Jimma University Jimma Ethiopia Anesthesiology Department Dilla University Addis Ababa Ethiopia Department of Juridical and Economic Studies La Sapienza University Rome Italy Non-Communicable Diseases Research Center Tehran University of Medical Sciences Tehran Iran Social Determinants of Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Brigham and Women’s Hospital Harvard University Boston MA USA Students’ Scientific Research Center (SSRC) Tehran University of Medical Sciences Tehran Iran School of Medicine Tehran University of Medical Sciences Tehran Iran School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran Endocrinology and Metabolism Research Institute Tehran University of Medical Sciences Tehran Iran Chapter of Addiction Medicine University of Sydney Sydney NSW Australia Advanced Diagnostic and Intervent

Chronic care manages long-term, progressive conditions, while acute care addresses short-term conditions. Chronic conditions increasingly strain health systems, which are often unprepared for these demands. This study examines the burden of conditions requiring acute versus chronic care, including sequelae. Conditions and sequelae from the Global Burden of Diseases Study 2019 were classified into acute or chronic care categories. Data were analysed by age, sex, and socio-demographic index, presenting total numbers and contributions to burden metrics such as Disability-Adjusted Life Years (DALYs), Years Lived with Disability (YLD), and Years of Life Lost (YLL). Approximately 68% of DALYs were attributed to chronic care, while 27% were due to acute care. Chronic care needs increased with age, representing 86% of YLDs and 71% of YLLs, and accounting for 93% of YLDs from sequelae. These findings highlight that chronic care needs far exceed acute care needs globally, necessitating health systems to adapt accordingly. © 2025. The Author(s).

关键词：

来源：评论

学校读者我要写书评

暂无评论

Self-Awareness for Autonomous systems

引用

PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

来源：评论

学校读者我要写书评

暂无评论

Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

引用

Scientific data 2021年第1期8卷 242页

作者： Julien Cohen-Adad Eva Alonso-Ortiz Mihael Abramovic Carina Arneitz Nicole Atcheson Laura Barlow Robert L Barry Markus Barth Marco Battiston Christian Büchel Matthew Budde Virginie Callot Anna J E Combes Benjamin De Leener Maxime Descoteaux Paulo Loureiro de Sousa Marek Dostál Julien Doyon Adam Dvorak Falk Eippert Karla R Epperson Kevin S Epperson Patrick Freund Jürgen Finsterbusch Alexandru Foias Michela Fratini Issei Fukunaga Claudia A M Gandini Wheeler-Kingshott Giancarlo Germani Guillaume Gilbert Federico Giove Charley Gros Francesco Grussu Akifumi Hagiwara Pierre-Gilles Henry Tomáš Horák Masaaki Hori James Joers Kouhei Kamiya Haleh Karbasforoushan Miloš Keřkovský Ali Khatibi Joo-Won Kim Nawal Kinany Hagen H Kitzler Shannon Kolind Yazhuo Kong Petr Kudlička Paul Kuntke Nyoman D Kurniawan Slawomir Kusmia René Labounek Maria Marcella Laganà Cornelia Laule Christine S Law Christophe Lenglet Tobias Leutritz Yaou Liu Sara Llufriu Sean Mackey Eloy Martinez-Heras Loan Mattera Igor Nestrasil Kristin P O'Grady Nico Papinutto Daniel Papp Deborah Pareto Todd B Parrish Anna Pichiecchio Ferran Prados Àlex Rovira Marc J Ruitenberg Rebecca S Samson Giovanni Savini Maryam Seif Alan C Seifert Alex K Smith Seth A Smith Zachary A Smith Elisabeth Solana Y Suzuki George Tackley Alexandra Tinnermann Jan Valošek Dimitri Van De Ville Marios C Yiannakas Kenneth A Weber Ii Nikolaus Weiskopf Richard G Wise Patrik O Wyss Junqian Xu NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. jcohen@polymtl.ca. Functional Neuroimaging Unit CRIUGM Université de Montréal Montreal QC Canada. jcohen@polymtl.ca. Mila - Quebec AI Institute Montreal QC Canada. jcohen@polymtl.ca. NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. Department of Radiology Swiss Paraplegic Centre Nottwil Switzerland. Centre for Advanced Imaging The University of Queensland Brisbane Australia. Department of Radiology University of British Columbia Vancouver BC Canada. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown MA USA. Department of Radiology Harvard Medical School Boston MA USA. Harvard-Massachusetts Institute of Technology Health Sciences & Technology Cambridge MA USA. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia. NMR Research Unit Queen Square MS Centre UCL Queen Square Institute of Neurology Faculty of Brain Sciences University College London London UK. Department of Systems Neuroscience University Medical Center Hamburg-Eppendorf Hamburg Germany. Department of Neurosurgery Medical College of Wisconsin Milwaukee WI USA. Aix-Marseille Univ CNRS CRMBM Marseille France. APHM Hopital Universitaire Timone CEMEREM Marseille France. Vanderbilt University Institute of Imaging Science Vanderbilt University Medical Center Nashville TN USA. Department of Computer and Software Engineering Polytechnique Montreal Montreal Canada. CHU Sainte-Justine Research Centre Montreal QC Canada. Centre de Recherche CHUS CIMS Sherbrooke Canada. Sherbrooke Connectivity Imaging Lab (SCIL) Computer Science department Université de Sherbrooke Sherbrooke Canada. Université de Strasbourg CNRS ICube Strasbourg France. UHB - University Hospital Brno and Masaryk University Department of Radiology and Nuclear

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：