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Träfflista för sökning "WFRF:(Zhang Lee) srt2:(2015-2019)"

Search: WFRF:(Zhang Lee) > (2015-2019)

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1.	Klionsky, Daniel J, et al. (author) Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). 2016 In: Autophagy. - : Informa UK Limited. - 1554-8635 .- 1554-8627. ; 12:1, s. 1-222 Journal article (peer-reviewed)
2.	2019 Journal article (peer-reviewed)
3.	Ahmad, T, et al. (author) Global patient outcomes after elective surgery: prospective cohort study in 27 low-, middle- and high-income countries 2016 In: British journal of anaesthesia. - : Elsevier BV. - 1471-6771 .- 0007-0912. ; 117:5, s. 601- Journal article (peer-reviewed)
4.	Ahmad, T, et al. (author) In-hospital clinical outcomes after upper gastrointestinal surgery: Data from an international observational study 2017 In: European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology. - : Elsevier BV. - 1532-2157 .- 0748-7983. ; 43:12, s. 2324-2332 Journal article (peer-reviewed)
5.	Ahmad, T, et al. (author) Use of failure-to-rescue to identify international variation in postoperative care in low-, middle- and high-income countries: a 7-day cohort study of elective surgery 2017 In: British journal of anaesthesia. - : Elsevier BV. - 1471-6771 .- 0007-0912. ; 119:2, s. 258-266 Journal article (peer-reviewed)
6.	Kristanl, Matej, et al. (author) The Seventh Visual Object Tracking VOT2019 Challenge Results 2019 In: 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW). - : IEEE COMPUTER SOC. - 9781728150239 ; , s. 2206-2241 Conference paper (peer-reviewed)abstract The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis as well as the standard VOT methodology for long-term tracking analysis. The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOT-ST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2019 focused on long-term tracking namely coping with target disappearance and reappearance. Two new challenges have been introduced: (iv) VOT-RGBT2019 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2019 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2019, VOT-RT2019 and VOT-LT2019 datasets were refreshed while new datasets were introduced for VOT-RGBT2019 and VOT-RGBD2019. The VOT toolkit has been updated to support both standard short-term, long-term tracking and tracking with multi-channel imagery. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website(1).
7.	Aad, G, et al. (author) 2015 swepub:Mat__t
8.	Corbalan, R, et al. (author) Analysis of Outcomes in Ischemic vs Nonischemic Cardiomyopathy in Patients With Atrial Fibrillation: A Report From the GARFIELD-AF Registry 2019 In: JAMA cardiology. - : American Medical Association (AMA). - 2380-6591 .- 2380-6583. ; 4:6, s. 526-548 Journal article (peer-reviewed)
9.	Aad, G., et al. (author) 2015 Journal article (peer-reviewed)
10.	Aad, G., et al. (author) 2015 In: Journal of High Energy Physics. - 1029-8479 .- 1126-6708. ; :1 Journal article (peer-reviewed)

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Result 1-10 of 395

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Type of publication: journal article (375); conference paper (10); research review (5); reports (1); patent (1)

Type of content: peer-reviewed (381); other academic/artistic (9); pop. science, debate, etc. (2)

Author/Editor: Zhu, H. (148); Zhang, X. (147); Zaman, A. (145); Li, S. (144); Li, L. (142); Yang, H. (142); show more...; Walker, R. (140); Price, D. (139); Jones, G. (138); Young, C. (138); Kretz, M. (137); Esposito, B. (136); Spagnolo, S. (136); Yamaguchi, Y. (135); Kobayashi, T. (133); Wang, H. (133); Liu, Y. (129); Zhang, Z. (127); Zhang, L. (126); Li, Y. (124); Nakamura, T. (124); Hill, J. C. (121); Jia, J. (121); Lenzi, B. (121); Vrba, V. (121); Zhang, J. (121); Chen, S. (120); Donadelli, M. (120); Ellinghaus, F. (120); King, M. (120); Li, H. (120); Milov, A. (120); Chen, H. (119); Kaneti, S. (119); Kim, S. H. (119); Li, B. (119); Liu, B. (119); Wilson, A. (119); Zhang, D. (119); Angerami, A. (118); Chen, C. (118); Chen, X. (118); Chen, Y. (118); Leite, M. A. L. (118); Proissl, M. (118); Sliwa, K. (118); Wang, J. (118); Williams, S. (118); Xu, L. (118); Yang, Y. (118); show less...

University: Lund University (212); Uppsala University (180); Royal Institute of Technology (135); Karolinska Institutet (124); Stockholm University (106); Umeå University (49); show more...; University of Gothenburg (48); Chalmers University of Technology (46); Högskolan Dalarna (18); Linköping University (16); Örebro University (10); Jönköping University (8); University of Skövde (8); Swedish University of Agricultural Sciences (6); Mid Sweden University (5); Malmö University (3); Södertörn University (3); RISE (3); Halmstad University (2); Stockholm School of Economics (2); Swedish Museum of Natural History (2); Karlstad University (1); show less...

Language: English (395)

Research subject (UKÄ/SCB): Natural sciences (246); Medical and Health Sciences (130); Engineering and Technology (15); Social Sciences (5); Agricultural Sciences (3)

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