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| 1 | Global Wheat Head Detection(GWHD)Dataset:A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods显示文摘The detection of wheat heads in plant images is an important task for estimating pertinent wheat traits including head population density and head characteristics such as health,size,maturity stage,and the presence of awns.Several studies have developed methods for wheat head detection from high-resolution RGB imagery based on machine learning algorithms.However,these methods have generally been calibrated and validated on limited datasets.High variability in observational conditions,genotypic differences,development stages,and head orientation makes wheat head detection a challenge for computer vision.Further,possible blurring due to motion or wind and overlap between heads for dense populations make this task even more complex.Through a joint international collaborative effort,we have built a large,diverse,and well-labelled dataset of wheat images,called the Global Wheat Head Detection(GWHD)dataset.It contains 4700 high-resolution RGB images and 190000 labelled wheat heads collected from several countries around the world at different growth stages with a wide range of genotypes.Guidelines for image acquisition,associating minimum metadata to respect FAIR principles,and consistent head labelling methods are proposed when developing new head detection datasets.The GWHD dataset is publicly available at http://www.global-wheat.com/and aimed at developing and benchmarking methods for wheat head detection. | Etienne David Simon Madec Pouria Sadeghi-Tehran Helge Aasen Bangyou Zheng Shouyang Liu Norbert Kirchgessner Goro Ishikawa Koichi Nagasawa Minhajul A.Badhon Curtis Pozniak Benoit de Solan Andreas Hund Scott C.Chapman Frédéric Baret Ian Stavness Wei Guo | 2020 | Plant Phenomics2020，2，1： | 13 |
| 2 | Global Wheat Head Detection 2021:An Improved Dataset for Benchmarking Wheat Head Detection Methods显示文摘The Global Wheat Head Detection(GWHD)dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images acquired from various acquisition platforms and 7 countries/institutions.With an associated competition hosted in Kaggle,GWHD_2020 has successfully attracted attention from both the computer vision and agricultural science communities.From this first experience,a few avenues for improvements have been identified regarding data size,head diversity,and label reliability.To address these issues,the 2020 dataset has been reexamined,relabeled,and complemented by adding 1722 images from 5 additional countries,allowing for 81,553 additional wheat heads.We now release in 2021 a new version of the Global Wheat Head Detection dataset,which is bigger,more diverse,and less noisy than the GWHD_2020 version. | Etienne David Mario Serouart Daniel Smith Simon Madec Kaaviya Velumani Shouyang Liu Xu Wang Francisco Pinto Shahameh Shafiee Izzat SATahir Hisashi Tsujimoto Shuhei Nasuda Bangyou Zheng Norbert Kirchgessner Helge Aasen Andreas Hund Pouria Sadhegi-Tehran Koichi Nagasawa Goro Ishikawa Sébastien Dandrifosse Alexis Carlier Benjamin Dumont Benoit Mercatoris Byron Evers Ken Kuroki Haozhou Wang Masanori Ishii Minhajul ABadhon Curtis Pozniak David Shaner LeBauer Morten Lillemo Jesse Poland Scott Chapman Benoit de Solan Frédéric Baret Ian Stavness Wei Guo | 2021 | Plant Phenomics2021，3，1： | 2 |
| 3 | Nuclear Interleukin-33 Is Generally Expressed in Resting Endothelium but Rapidly Lost upon Angiogenic or Proinflammatory Activation显示文摘 | Axel M. Küchler Jürgen Pollheimer Johanna Balogh Jon Sponheim Linda Manley Dag R. Sorensen Paula M. De Angelis Helge Scott Guttorm Haraldsen | 2008 | The American Journal of Pathology2008，，4： | 1 |
| 4 | Adaptive slicing using stepwise uniform refinement显示文摘 | Sabourian Emmannel Houser Scott A Bφhn Jan Helge | 1996 | Rapid Portotyping Journal1996，2，4： | 1 |
| 5 | Adaptive slicing using stepwise uniform refinement显示文摘 | Emmannel S Scott A H Helge B J | 1996 | Papid Prototyping Journal1996，2，4： | 1 |
| 6 | Adaptive slicing using stepwise uniform refinement显示文摘 | Sabourian Emmannel Houser Scott A Bφhn Jan Helge | 1996 | Rapid Prototyping Journal1996，2，4： | 1 |
| 7 | Prognostic Value of Cardiac Troponin I Measured With a Highly Sensitive Assay in Patients With Stable Coronary Artery Disease显示文摘 | Torbj?rn Omland Marc A. Pfeffer Scott D. Solomon James A. de Lemos Helge R?sj? Jūrat? ?altyt? Benth Aldo Maggioni Michael J. Domanski Jean L. Rouleau Marc S. Sabatine Eugene Braunwald | 2013 | Journal of the American College of Cardiology2013，，12： | 1 |
| 8 | Nuclear Interleukin-33 Is Generally Expressed in Resting Endothelium but Rapidly Lost upon Angiogenic or Proinflammatory Activation显示文摘 | Axel M. Küchler Jürgen Pollheimer Johanna Balogh Jon Sponheim Linda Manley Dag R. Sorensen Paula M. De Angelis Helge Scott Guttorm Haraldsen | 2008 | The American Journal of Pathology2008，，： | 1 |
| 9 | HLA variants related to primary sclerosing cholangitis influence rejection after liver transplantation显示文摘AIM:To investigate influence of human leukocyte antigen(HLA)and killer immunoglobuline-like receptor(KIR)genotypes on risks of acute rejection(AR)after liver transplantation(LTX).METHODS:In this retrospective study we included143 adult donor-recipient pairs with a minimum of 6mo follow-up after LTX for whom DNA was available from both donor and recipients.Clinical data,all early complications including episodes and severity of AR and graft/patient survival were registered.The diagnosis of AR was based on clinical,biochemical and histological criteria.All suspected episodes of AR were biopsy confirmed.Key classical HLA loci(HLA-A,HLA-B,HLA-C and HLA-DRB1)were genotyped using Sanger sequencing.16 KIR genes were genotyped using a novel real time PCR approach which allows for determination of the diploid copy number of each KIR gene.Immunohistochemical staining for T(CD3),B(CD20)and natural killer(NK)cells(CD56 and CD57)were performed on liver biopsies from 3 different patient groups[primary sclerosing cholangitis(PSC),primary biliary cirrhosis and non-autoimmune liver disease],10 in each group,with similar grade of AR.RESULTS:Fourty-four(31%)patients were transplanted on the basis of PSC,40%of them had AR vs 24%in the non-PSC group(P=0.04).No significant impact of donor-recipient matching for HLA and KIR genotypes was detected.In the overall recipient population an increased risk of AR was detected for HLA-B*08(P=0.002,OR=2.5;95%CI:1.4-4.6),HLA-C*07(P=0.001,OR=2.4;95%CI:1.4-4.0)and HLA-DRB1*03(P=0.03,OR=1.9;95%CI:1.0-3.3)and a decreased risk for HLA-DRB1*04(P=0.001,OR=0.2;95%CI:0.1-0.5).For HLA-B*08,HLA-C*07 and DRB1*04 the associations remained evident in a subgroup analysis of non-PSC recipients(P=0.04,P=0.003 and P=0.02,respectively).In PSC recipients corresponding P values were 0.002,0.17 and 0.01 for HLA-B*08,HLA-C*07and DRB1*04,respectively.A dosage effect of AR prevalence according to the PSC associated HLA alleles was also notable in the total recipient population.For HLA-B*08 the frequency of AR was 56%in HLA-B*08homozygous recipients,39%in heterozygous recipients and 21%in recipients lacking HLA-B*08(P=0.02).The same was observed for the HLA-C*07 allele with AR in 57%,27%and 18%in recipients being homozygous,heterozygous and lacking HLA-C*07 respectively(P=0.003).Immunohistochemical analysis showed similar infiltration of T,B and NK cells in biopsies with AR in all three groups.CONCLUSION:We found significant associations between the PSC-associated HLA-B*08,HLA-C*07,HLADRB1*03 and HLA-DRB1*04 alleles and risk of AR in liver transplant recipients. | Bjarte Fosby Sigrid Nss Johannes R Hov James Traherne Kirsten M Boberg John Trowsdale Aksel Foss Pl-Dag Line Andre Franke Espen Melum Helge Scott Tom H Karlsen | 2014 | World Journal of Gastroenterology2014，20，14： | 0 |
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