咨询与建议

限定检索结果

文献类型

  • 657 篇 期刊文献
  • 430 篇 会议
  • 13 册 图书

馆藏范围

  • 1,100 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 631 篇 工学
    • 459 篇 计算机科学与技术...
    • 377 篇 软件工程
    • 128 篇 信息与通信工程
    • 100 篇 电气工程
    • 92 篇 生物工程
    • 82 篇 生物医学工程(可授...
    • 71 篇 光学工程
    • 71 篇 控制科学与工程
    • 61 篇 电子科学与技术(可...
    • 49 篇 机械工程
    • 29 篇 网络空间安全
    • 27 篇 仪器科学与技术
    • 26 篇 交通运输工程
    • 24 篇 安全科学与工程
    • 23 篇 动力工程及工程热...
  • 447 篇 理学
    • 175 篇 物理学
    • 174 篇 数学
    • 121 篇 生物学
    • 79 篇 统计学(可授理学、...
    • 34 篇 地球物理学
    • 31 篇 系统科学
  • 184 篇 管理学
    • 112 篇 管理科学与工程(可...
    • 77 篇 图书情报与档案管...
    • 62 篇 工商管理
  • 105 篇 医学
    • 88 篇 临床医学
    • 75 篇 基础医学(可授医学...
    • 51 篇 公共卫生与预防医...
    • 33 篇 药学(可授医学、理...
  • 36 篇 法学
    • 31 篇 社会学
  • 32 篇 经济学
    • 32 篇 应用经济学
  • 18 篇 教育学
  • 16 篇 农学
  • 3 篇 军事学
  • 2 篇 文学
  • 1 篇 艺术学

主题

  • 41 篇 accuracy
  • 40 篇 deep learning
  • 40 篇 machine learning
  • 30 篇 feature extracti...
  • 26 篇 semantics
  • 25 篇 computational mo...
  • 23 篇 artificial intel...
  • 23 篇 convolutional ne...
  • 22 篇 training
  • 20 篇 real-time system...
  • 19 篇 neural networks
  • 17 篇 predictive model...
  • 16 篇 visualization
  • 16 篇 federated learni...
  • 15 篇 internet of thin...
  • 15 篇 contrastive lear...
  • 15 篇 data models
  • 13 篇 optimization
  • 13 篇 data mining
  • 12 篇 forecasting

机构

  • 60 篇 shandong provinc...
  • 48 篇 key laboratory o...
  • 46 篇 shandong enginee...
  • 20 篇 department of ph...
  • 20 篇 hiroshima astrop...
  • 19 篇 department of ph...
  • 18 篇 faculty of data ...
  • 16 篇 college of compu...
  • 16 篇 shandong fundame...
  • 15 篇 dipartimento di ...
  • 15 篇 istituto naziona...
  • 14 篇 dipartimento di ...
  • 14 篇 deutsches elektr...
  • 14 篇 w. w. hansen exp...
  • 14 篇 max-planck-insti...
  • 14 篇 istituto naziona...
  • 14 篇 nasa goddard spa...
  • 13 篇 department of ph...
  • 13 篇 science institut...
  • 13 篇 city university ...

作者

  • 15 篇 niyato dusit
  • 15 篇 gargano f.
  • 14 篇 bastieri d.
  • 14 篇 sgrò c.
  • 14 篇 lubrano p.
  • 14 篇 spinelli p.
  • 14 篇 kuss m.
  • 14 篇 giroletti m.
  • 13 篇 ajello m.
  • 13 篇 green d.
  • 13 篇 orlando e.
  • 13 篇 nuss e.
  • 13 篇 torres d.f.
  • 13 篇 siskind e.j.
  • 12 篇 monzani m.e.
  • 12 篇 cameron r.a.
  • 12 篇 morselli a.
  • 12 篇 reimer o.
  • 12 篇 mizuno t.
  • 12 篇 piron f.

语言

  • 1,018 篇 英文
  • 77 篇 其他
  • 4 篇 中文
  • 2 篇 斯洛文尼亚文
检索条件"机构=Faculty of Data Science and Computing"
1100 条 记 录,以下是1011-1020 订阅
排序:
A survey of classification methods for chest x-ray pathologies utilizing deep learning
收藏 引用
AIP Conference Proceedings 2023年 第1期3015卷
作者: Israa Faisal Jassam Saleh Mesbah Elkaffas Adel A. El-Zoghabi Ayman Samir Beden Muhammad M. Saad Mohammed Tali Almalchy Registration and Students Affairs University Headquarter University of Anbar Anbar City 31001 Iraq. College of Computing and IT Arab Academy for Science Technology and Maritime Transport Alexandria Egypt. Institute of Graduate Studies and Research Alexandria University Alexandria Egypt. Department of Computer Technology Engineering Faculty of Information Technology Imam Ja’afar Al-Sadiq University Maysan 10011 Iraq. Lead Data Scientist Head of Nawah.ai Stuttgart Germany. Department of Computer Engineering Faculty of Information Technology Imam Ja’afar Al-Sadiq University Maysan 10011 Iraq.
Any urgent diagnosis of pneumonia can be affected by a chest x-ray (CXR henceforth), which is one of the most common types of radiography. Artificial intelligence (AI) has been employed by most researchers for the aut...
来源: 评论
CHAOS Challenge - Combined (CT-MR) healthy abdominal organ segmentation
arXiv
收藏 引用
arXiv 2020年
作者: Kavur, A. Emre Gezer, N. Sinem Barış, Mustafa Conze, Pierre-Henri Groza, Vladimir Pham, Duc Duy Chatterjee, Soumick Ernst, Philipp Özkan, Savaş Baydar, Bora Lachinov, Dmitry Han, Shuo Pauli, Josef Isensee, Fabian Perkonigg, Matthias Sathish, Rachana Rajan, Ronnie Aslan, Sinem Sheet, Debdoot Dovletov, Gurbandurdy Speck, Oliver Nürnberger, Andreas Maier-Hein, Klaus H. Akar, Gözde Bozdagı Ünal, Gözde Dicle, Oguz Selver, M. Alper Graduate School of Natural and Applied Sciences Dokuz Eylul University Izmir Turkey Department of Radiology Faculty Of Medicine Dokuz Eylul University Izmir Turkey Dept. of Ophthalmology and Optometry Medical Uni. of Vienna Austria Intelligent Systems Faculty of Engineering University of Duisburg-Essen Germany Division of Medical Image Computing German Cancer Research Center Heidelberg Germany CIR Lab Dept of Biomedical Imaging and Image-guided Therapy Medical Uni. of Vienna Austria IMT Atlantique LaTIM UMR 1101 Brest France Department of Electrical and Electronics Engineering Middle East Technical University Ankara Turkey Department of Electrical Engineering Indian Institute of Technology Kharagpur India School of Medical Science and Technology Indian Institute of Technology Kharagpur India Ca’ Foscari University of Venice ECLT DAIS Venice Italy Ege University International Computer Institute Izmir Turkey Johns Hopkins University Baltimore United States Data and Knowledge Engineering Group Otto von Guericke University Magdeburg Germany Magnetic Resonance Otto von Guericke University Magdeburg Germany Median Technologies Valbonne France Department of Computer Engineering Istanbul Technical University Istanbul Turkey Department of Electrical and Electronics Engineering Dokuz Eylul University Izmir Turkey
—Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) have introduced new state-of-the-art segment... 详细信息
来源: 评论
The machine learning landscape of top taggers
arXiv
收藏 引用
arXiv 2019年
作者: Kasieczka, G. Plehn, T. Butter, A. Cranmer, K. Debnath, D. Dillon, B.M. Fairbairn, M. Faroughy, D.A. Fedorko, W. Gay, C. Gouskos, L. Kamenik, J.F. Komiske, P.T. Leiss, S. Lister, A. Macaluso, S. Metodiev, E.M. Moore, L. Nachman, B. Nordström, K. Pearkes, J. Qu, H. Rath, Y. Rieger, M. Shih, D. Thompson, J.M. Varma, S. Institut für Experimentalphysik Universität Hamburg Germany Institut für Theoretische Physik Universität Heidelberg Germany Center for Cosmology and Particle Physics and Center for Data Science NYU United States NHECT Dept. of Physics and Astronomy Rutgers State University of NJ United States Jozef Stefan Institute Ljubljana Slovenia Theoretical Particle Physics and Cosmology King’s College London United Kingdom Department of Physics and Astronomy University of British Columbia Canada Department of Physics University of California Santa Barbara United States Faculty of Mathematics and Physics University of Ljubljana Ljubljana Slovenia Center for Theoretical Physics MIT Cambridge United States CP3 Universitéxx Catholique de Louvain Louvain-la-Neuve Belgium Physics Division Lawrence Berkeley National Laboratory Berkeley United States Simons Inst. for the Theory of Computing University of California Berkeley United States Amsterdam Netherlands LPTHE CNRS & Sorbonne Université Paris France III. Physics Institute A RWTH Aachen University Germany
Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches. Unlike most established methods they rely on low-level input, for ... 详细信息
来源: 评论
Joint segmentation and deformable registration with the presence of the noise using active contour and linear curvature
收藏 引用
AIP Conference Proceedings 2024年 第1期3150卷
作者: Nurul Asyiqin Mohd Fauzi Mazlinda Ibrahim Hoo Yann Seong Abdul Kadir Jumaat Lavdie Rada Faculty of Defence Science and Technology National Defence University of Malaysia 57000 Kuala Lumpur Malaysia Centre for Defence Foundation Studies National Defence University of Malaysia 57000 Kuala Lumpur Malaysia School of Mathematical Sciences College of Computing Informatics and Media Universiti Teknologi MARA (UiTM) 40450 Shah Alam Selangor Malaysia Institute for Big Data Analytics and Artificial Intelligence (IBDAAI) Universiti Teknologi MARA (UiTM) 40450 Shah Alam Selangor Malaysia Biomedical Engineering Department Bahcesehir University Besiktas Istanbul Turkey
Medical image processing requires image segmentation and image registration as important diagnostic tools. Image segmentation aims to split structures of interest into distinct components. Meanwhile, image registratio...
来源: 评论
Why is the Winner the Best?
Why is the Winner the Best?
收藏 引用
Conference on Computer Vision and Pattern Recognition (CVPR)
作者: M. Eisenmann A. Reinke V. Weru M. D. Tizabi F. Isensee T. J. Adler S. Ali V. Andrearczyk M. Aubreville U. Baid S. Bakas N. Balu S. Bano J. Bernal S. Bodenstedt A. Casella V. Cheplygina M. Daum M. De Bruijne A. Depeursinge R. Dorent J. Egger D. G. Ellis S. Engelhardt M. Ganz N. Ghatwary G. Girard P. Godau A. Gupta L. Hansen K. Harada M. Heinrich N. Heller A. Hering A. Huaulmé P. Jannin A. E. Kavur O. Kodym M. Kozubek J. Li H. Li J. Ma C. Martín-Isla B. Menze A. Noble V. Oreiller N. Padoy S. Pati K. Payette T. Rädsch J. Rafael-Patiño V. Singh Bawa S. Speidel C. H. Sudre K. Van Wijnen M. Wagner D. Wei A. Yamlahi M. H. Yap C. Yuan M. Zenk A. Zia D. Zimmerer D. Aydogan B. Bhattarai L. Bloch R. Brüngel J. Cho C. Choi Q. Dou I. Ezhov C. M. Friedrich C. Fuller R. R. Gaire A. Galdran Á. García Faura M. Grammatikopoulou S. Hong M. Jahanifar I. Jang A. Kadkhodamohammadi I. Kang F. Kofler S. Kondo H. Kuijf M. Li M. Luu T. Martinčič P. Morais M. A. Naser B. Oliveira D. Owen S. Pang J. Park S. Park S. Płotka E. Puybareau N. Rajpoot K. Ryu N. Saeed A. Shephard P. Shi D. Štepec R. Subedi G. Tochon H. R. Torres H. Urien J. L. Vilaça K. A. Wahid H. Wang J. Wang L. Wang X. Wang B. Wiestler M. Wodzinski F. Xia J. Xie Z. Xiong S. Yang Y. Yang Z. Zhao K. Maier-Hein P. F. Jäger A. Kopp-Schneider L. Maier-Hein Division of Intelligent Medical Systems German Cancer Research Center (DKFZ) Heidelberg Germany Helmholtz Imaging German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Division of Biostatistics German Cancer Research Center (DKFZ) Heidelberg Germany Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Engineering and Physical Sciences School of Computing University of Leeds Leeds UK Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Sierre Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Lausanne Switzerland Technische Hochschule Ingolstadt Ingolstadt Germany Center for Artificial Intelligence and Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology University of Washington Seattle WA USA Department of Computer Science Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) University College London London UK Universitat Autònoma de Barcelona & Computer Vision Center Barcelona Spain Division of Translational Surgical Oncology National Center for Tumor Diseases (NCT/UCC) Dresden Dresden Germany Department of Advanced Robotics Istituto Italiano di Tecnologia Italy Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy IT University of Copenhagen Copenhagen Denmark Department of General Visceral and Transplantation Surgery Heidelberg University Hospital Heidelberg Germany Department of Radiology and Nuc
International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from t...
来源: 评论
Publisher Correction: Extreme risk induced by communities in interdependent networks
收藏 引用
Communications Physics 2019年 第1期2卷 1页
作者: Jiachen Sun Rui Zhang Ling Feng Christopher Monterola Xiao Ma Céline Rozenblat H. Eugene Stanley Boris Podobnik Yanqing Hu School of Electronics and Information Technology Sun Yat-sen University Guangzhou China Institute for Molecular Engineering University of Chicago Chicago USA Institute of High Performance Computing A*STAR Singapore Singapore Department of Physics National University of Singapore Singapore Singapore Asian Institute of Management Metro Manila Philippines School of Data and Computer Science Sun Yat-sen University Guangzhou China Institute of Geography University of Lausanne Lausanne Switzerland Department of Physics Boston University Boston USA Faculty of Civil Engineering University of Rijeka Rijeka Croatia Faculty of Information Studies Novo Mesto Slovenia Zagreb School of Economics and Management Zagreb Croatia Luxembourg School of Business Luxembourg Luxembourg
来源: 评论
A data Analytic Elucidation on the Spatial Agglomeration of Singapore Maritime Industry
International Journal on Smart and Sustainable Cities
收藏 引用
International Journal on Smart and Sustainable Cities 2023年 第1期1卷
作者: Lock Yue Chew Ning Ning Chung Wen Xuan Sia Hoai Nguyen Huynh Glenn Sim Alvin Chua Zhongwen Huang https://***/0000-0003-1366-8205 School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore Data Science & Artificial Intelligence Research Centre Nanyang Technological University Singapore 637335 Singapore Centre for University Core Singapore University of Social Sciences Singapore 599494 Singapore Institute of High Performance Computing (IHPC) Agency for Science Technology and Research (A*STAR) 1 Fusionopolis Way Connexis North Tower #16-16 Singapore 138632 Singapore School of Global Affairs Faculty of Social Science & Public Policy King’s College London London WC2R 2LS UK Design & Planning Lab Urban Redevelopment Authority Singapore 179369 Singapore
In this paper, we create three new statistical measures to characterize the spatial patterns and structure of firms and subsectors of industry. The new measures give a direct quantification of the tendency of subsecto... 详细信息
来源: 评论
AGlobal benchmark of algorithms for segmentinglate gadolinium-enhanced cardiac magnetic resonance imaging
arXiv
收藏 引用
arXiv 2020年
作者: Xiong, Zhaohan Xia, Qing Hu, Zhiqiang Huang, Ning Bian, Cheng Zheng, Yefeng Vesal, Sulaiman Ravikumar, Nishant Maier, Andreas Yang, Xin Heng, Pheng-Ann Ni, Dong Li, Caizi Tong, Qianqian Si, Weixin Puybareau, Elodie Khoudli, Younes Géraud, Thierry Chen, Chen Bai, Wenjia Rueckert, Daniel Xu, Lingchao Zhuang, Xiahai Luo, Xinzhe Jia, Shuman Sermesant, Maxime Liu, Yashu Wang, Kuanquan Borra, Davide Masci, Alessandro Corsi, Cristiana De Vente, Coen Veta, Mitko Karim, Rashed Preetha, Chandrakanth Jayachandran Engelhardt, Sandy Qiao, Menyun Wang, Yuanyuan Tao, Qian Nuñez-Garcia, Marta Camara, Oscar Savioli, Nicolo Lamata, Pablo Zhao, Jichao Auckland Bioengineering Institute University of Auckland Auckland New Zealand State Key Lab of Virtual Reality Technology and Systems Beihang University Beijing China School of Electronics Engineering and Computer Science Peking University Beijing China SenseTime Inc Shenzhen China Tencent Jarvis Laboratory Shenzhen China Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong National-Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering Shenzhen University Shenzhen China School of Computer Science Wuhan University Wuhan China Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Epita Research and Development Laboratory Paris France Department of Computing Imperial College London London United Kingdom School of Naval Architecture Shanghai Jiao Tong University Ocean & Civil Engineering Shanghai China School of Data Science Fudan University Shanghai China Epione Research Group Universite Cote d'Azur Inria Sophia Antipolis France Harbin Institute of Technology School of Computer Science and Technology Harbin China Department of Electric University of Bologna Electronic and Information Engineering Cesena Italy Department of Biomedical Engineering Eindhoven University of Technology Eindhoven Netherlands School of Biomedical Engineering and Imaging Sciences Kings College London London United Kingdom Faculty of Electrical Engineering and Information Technology University of Magdeburg Magdeburg Germany Heidelberg University Hospital Germany Biomedical Engineering Center Fudan University Shanghai China Department of Radiology Leiden University Medical Center Leiden Netherlands Department of Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain D
Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI)widely used for visualizing diseased cardiacstructures, is a crucial first step for clinical diagnosis and trea... 详细信息
来源: 评论
Explainable AI: Definition and attributes of a good explanation for health AI
arXiv
收藏 引用
arXiv 2024年
作者: Kyrimi, Evangelia McLachlan, Scott Wohlgemut, Jared M. Perkins, Zane B. Lagnado, David A. Marsh, William Gimson, Alexander Shafti, Ali Ercole, Ari Banerjee, Amitava Glocker, Ben Schafer, Burkhard Gatsonis, Constantine Grosan, Crina Sent, Danielle Berman, David S. Glass, David O'Regan, Declan P. Letsios, Dimitrios Morrissey, Dylan Pisirir, Erhan Leofante, Francesco Soyel, Hamit Williamson, Jon Grieman, Keri Dube, Kudakwashe Mardsen, Max Nagendran, Myura Tai, Nigel Kostopoulou, Olga Jones, Owain Curzon, Paul Stoner, Rebecca S. Tandle, Sankalp Joshi, Shalmali Mossadegh, Somayyeh Buijsman, Stefan Miller, Tim Madai, Vince Istvan School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom School of Nursing Midwifery and Palliative Care King's College London London United Kingdom Centre for Trauma Sciences Blizard Institute Queen Mary University of London London United Kingdom Royal London Hospital Barts Health NHS Trust London United Kingdom Department of Experiment Psychology University College London London United Kingdom Cambridge Liver Unit Addenbrooke's Hospital Cambridge University Hospitals Hills Road Box 210 Cambridge United Kingdom University of Cambridge United Kingdom Cambridge Consultants Ltd. United Kingdom Division of Anaesthesia Cambridge Centre for AI in Medicine University of Cambridge Cambridge United Kingdom Magdelene College University of Cambridge United Kingdom Institute of Health Informatics University College London London United Kingdom Department of Computing Imperial College London London United Kingdom SCRIPT Centre for IT and IP Law School of Law University of Edinburgh United Kingdom Center for Statistical Sciences School of Public Health Brown University Providence United States Research Group Artificial Intelligence HU University of Applied Sciences Utrecht Netherlands Jheronimus Academy of Data Science Tilburg University Eindhoven University of Technology s-Hertogenbosch Netherlands Centre for Theoretical Physics Queen Mary University of London London United Kingdom School of Computing Ulster University Belfast United Kingdom MRC Laboratory of Medical Sciences Imperial College London London United Kingdom Department of Informatics King's College London United Kingdom Physiotherapy Department Barts Health NHS Trust London United Kingdom Sport and Exercise Medicine Queen Mary University of London London United Kingdom School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom Department of Computing Imperial College London United Kingdom Departmen
Proposals of artificial intelligence (AI) solutions based on increasingly complex and accurate predictive models are becoming ubiquitous across many disciplines. As the complexity of these models grows, transparency a...
来源: 评论
Correction: On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking
收藏 引用
European radiology experimental 2022年 第1期6卷 56页
作者: Orhun Utku Aydin Abdel Aziz Taha Adam Hilbert Ahmed A Khalil Ivana Galinovic Jochen B Fiebach Dietmar Frey Vince Istvan Madai CLAIM - Charité Lab for Artificial Intelligence in Medicine Charité Universitätsmedizin Berlin Berlin Germany. orhun-utku.aydin@charite.de. Research Studio Data Science Research Studios Austria Salzburg Austria. CLAIM - Charité Lab for Artificial Intelligence in Medicine Charité Universitätsmedizin Berlin Berlin Germany. Centre for Stroke Research Berlin Charité Universitätsmedizin Berlin Berlin Germany. Department of Neurology Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany. Mind Brain Body Institute Berlin School of Mind and Brain Humboldt-Universität Berlin Berlin Germany. School of Computing and Digital Technology Faculty of Computing Engineering and the Built Environment Birmingham City University Birmingham UK.
来源: 评论