Institution
Technion – Israel Institute of Technology
Education•Haifa, Israel•
About: Technion – Israel Institute of Technology is a education organization based out in Haifa, Israel. It is known for research contribution in the topics: Population & Nonlinear system. The organization has 31714 authors who have published 79377 publications receiving 2603976 citations. The organization is also known as: Technion Israel Institute of Technology & Ṭekhniyon, Makhon ṭekhnologi le-Yiśraʼel.
Papers published on a yearly basis
Papers
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TL;DR: This work reduces the size of the descriptors by representing them as short binary strings and learn descriptor invariance from examples, and shows extensive experimental validation, demonstrating the advantage of the proposed approach.
Abstract: SIFT-like local feature descriptors are ubiquitously employed in computer vision applications such as content-based retrieval, video analysis, copy detection, object recognition, photo tourism, and 3D reconstruction. Feature descriptors can be designed to be invariant to certain classes of photometric and geometric transformations, in particular, affine and intensity scale transformations. However, real transformations that an image can undergo can only be approximately modeled in this way, and thus most descriptors are only approximately invariant in practice. Second, descriptors are usually high dimensional (e.g., SIFT is represented as a 128-dimensional vector). In large-scale retrieval and matching problems, this can pose challenges in storing and retrieving descriptor data. We map the descriptor vectors into the Hamming space in which the Hamming metric is used to compare the resulting representations. This way, we reduce the size of the descriptors by representing them as short binary strings and learn descriptor invariance from examples. We show extensive experimental validation, demonstrating the advantage of the proposed approach.
654 citations
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Nasim Mavaddat1, Kyriaki Michailidou1, Kyriaki Michailidou2, Joe Dennis1 +307 more•Institutions (105)
TL;DR: This PRS, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset is developed and empirically validated and is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.
Abstract: Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.
653 citations
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International Agency for Research on Cancer1, University of Bristol2, University Hospitals Bristol NHS Foundation Trust3, Vanderbilt University Medical Center4, University of Kentucky5, University of Copenhagen6, Lund University7, Technische Universität München8, Fred Hutchinson Cancer Research Center9, Harvard University10, Dartmouth College11, University of Liverpool12, Umeå University13, National Institute of Occupational Health14, New Generation University College15, Radboud University Nijmegen16, BC Cancer Agency17, Washington State University18, University of Hawaii19, Ontario Institute for Cancer Research20, University of Southern California21, Technion – Israel Institute of Technology22, University of Salzburg23, Curie Institute24, Nofer Institute of Occupational Medicine25, University of Ostrava26, Charles University in Prague27, Nanjing Medical University28, University of Oviedo29, University of Sheffield30, University of Texas MD Anderson Cancer Center31, University of Pittsburgh32, Lunenfeld-Tanenbaum Research Institute33
TL;DR: The results are consistent with a causal role of fasting insulin and low-density lipoprotein cholesterol in lung cancer etiology, as well as for BMI in squamous cell and small cell carcinoma, and the latter relation may be mediated by a previously unrecognized effect of obesity on smoking behavior.
Abstract: Background: Assessing the relationship between lung cancer and metabolic conditions is challenging because of the confounding effect of tobacco. Mendelian randomization (MR), or the use of genetic ...
653 citations
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University of Cambridge1, University of Sheffield2, University of Oxford3, University of California, Berkeley4, University of Leeds5, Technion – Israel Institute of Technology6, Imperial College London7, Queen's University Belfast8, Swansea University9, University of Exeter10, University of Sussex11, University of Aberdeen12, Bangor University13, University of Warwick14, Australian National University15, Environmental Change Institute16, University of Reading17, University of Edinburgh18, Microsoft19, Rockefeller University20, University of Zurich21, Swedish University of Agricultural Sciences22, Helmholtz Centre for Environmental Research - UFZ23
TL;DR: The 100th anniversary of the British Ecological Society in 2013 is an opportune moment to reflect on the current status of ecology as a science and look forward to high-light priorities for future work.
Abstract: Summary 1. Fundamental ecological research is both intrinsically interesting and provides the basic knowledge required to answer applied questions of importance to the management of the natural world. The 100th anniversary of the British Ecological Society in 2013 is an opportune moment to reflect on the current status of ecology as a science and look forward to high-light priorities for future work.
652 citations
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16 Jun 2020
TL;DR: In this article, the authors discuss the potential applications of RISs in wireless networks that operate at high-frequency bands, eg, millimeter wave (30-100 GHz) and sub-millimeter-wave (greater than 100 GHz) frequencies when used in a manner similar to relays.
Abstract: Reconfigurable intelligent surfaces (RISs) have the potential of realizing the emerging concept of smart radio environments by leveraging the unique properties of metamaterials and large arrays of inexpensive antennas In this article, we discuss the potential applications of RISs in wireless networks that operate at high-frequency bands, eg, millimeter wave (30-100 GHz) and sub-millimeter wave (greater than 100 GHz) frequencies When used in wireless networks, RISs may operate in a manner similar to relays The present paper, therefore, elaborates on the key differences and similarities between RISs that are configured to operate as anomalous reflectors and relays In particular, we illustrate numerical results that highlight the spectral efficiency gains of RISs when their size is sufficiently large as compared with the wavelength of the radio waves In addition, we discuss key open issues that need to be addressed for unlocking the potential benefits of RISs for application to wireless communications and networks
651 citations
Authors
Showing all 31937 results
Name | H-index | Papers | Citations |
---|---|---|---|
Robert Langer | 281 | 2324 | 326306 |
Nicholas G. Martin | 192 | 1770 | 161952 |
Tobin J. Marks | 159 | 1621 | 111604 |
Grant W. Montgomery | 157 | 926 | 108118 |
David Eisenberg | 156 | 697 | 112460 |
David J. Mooney | 156 | 695 | 94172 |
Dirk Inzé | 149 | 647 | 74468 |
Jerrold M. Olefsky | 143 | 595 | 77356 |
Joseph J.Y. Sung | 142 | 1240 | 92035 |
Deborah Estrin | 135 | 562 | 106177 |
Bruce Yabsley | 133 | 1191 | 84889 |
Jerry W. Shay | 133 | 639 | 74774 |
Richard N. Bergman | 130 | 477 | 91718 |
Shlomit Tarem | 129 | 1306 | 86919 |
Allen Mincer | 129 | 1040 | 80059 |