A5059976286- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Computational Physics and Python Applications
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astrophysics and Cosmic Phenomena
- Radiation Detection and Scintillator Technologies
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Medical Imaging Techniques and Applications
- Nuclear physics research studies
- Atomic and Subatomic Physics Research
- Advanced Cellulose Research Studies
- Particle Accelerators and Free-Electron Lasers
- Face recognition and analysis
- Distributed and Parallel Computing Systems
- Face and Expression Recognition
- Natural Fiber Reinforced Composites
- Superconducting Materials and Applications
- Muon and positron interactions and applications
- Radiomics and Machine Learning in Medical Imaging
King University
2023-2025
Peking University
2016-2025
Binzhou University
2024-2025
Binzhou Medical University
2024-2025
Deutsches Elektronen-Synchrotron DESY
2022-2025
Commercial Aircraft Corporation of China (China)
2025
Henan University
2025
Southwest Forestry University
2019-2025
Harbin Medical University
2025
First Affiliated Hospital of Harbin Medical University
2025
<h3>Importance</h3> Application of deep learning algorithms to whole-slide pathology images can potentially improve diagnostic accuracy and efficiency. <h3>Objective</h3> Assess the performance automated at detecting metastases in hematoxylin eosin–stained tissue sections lymph nodes women with breast cancer compare it pathologists' diagnoses a setting. <h3>Design, Setting, Participants</h3> Researcher challenge competition (CAMELYON16) develop solutions for node (November 2015-November...
Learning effective feature representations and similarity measures are crucial to the retrieval performance of a content-based image (CBIR) system. Despite extensive research efforts for decades, it remains one most challenging open problems that considerably hinders successes real-world CBIR systems. The key challenge has been attributed well-known ``semantic gap'' issue exists between low-level pixels captured by machines high-level semantic concepts perceived human. Among various...
The International Symposium on Biomedical Imaging (ISBI) held a grand challenge to evaluate computational systems for the automated detection of metastatic breast cancer in whole slide images sentinel lymph node biopsies. Our team won both competitions challenge, obtaining an area under receiver operating curve (AUC) 0.925 task image classification and score 0.7051 tumor localization task. A pathologist independently reviewed same images, AUC 0.966 0.733. Combining our deep learning system's...
There is increasing evidence for a possible association between chronic obstructive pulmonary disease (COPD) and the use of biomass fuels cooking heating in developing countries. Data on prevalence COPD objective measurements indoor pollution from fuel have not been widely available China. A study was undertaken to investigate two communities Guangdong province China measure air pollution.A cluster disproportional random sampling survey performed populations aged over 40 years urban (Liwang)...
Since its release in 2000, WormBase (http://www.wormbase.org) has grown from a small resource focusing on single species and serving dedicated research community, to one now spanning 15 essential the broader biomedical agricultural fields. To enhance rate of curation, we have automated identification key data scientific literature use similar methodology for extraction. ease access data, are collaborating with journals link entities publications their report pages at WormBase. facilitate...
Recent years have witnessed extensive studies on distance metric learning (DML) for improving similarity search in multimedia information retrieval tasks. Despite their successes, most existing DML methods suffer from two critical limitations: (i) they typically attempt to learn a linear function the input feature space, which assumption of linearity limits capacity measuring complex patterns real-world applications; (ii) are often designed metrics uni-modal data, may not effectively handle...
Given a large collection of unlabeled face images, we address the problem clustering faces into an unknown number identities. This is interest in social media, law enforcement, and other applications, where can be order hundreds million, while identities (clusters) range from few thousand to millions. To challenges run-time complexity cluster quality, present approximate Rank-Order algorithm that performs better than popular algorithms (k-Means Spectral). Our experiments include up 123...
The discovery of the Higgs boson with its mass around 125 GeV by ATLAS and CMS Collaborations marked beginning a new era in high energy physics. will be subject extensive studies ongoing LHC program. At same time, lepton collider based factories have been proposed as possible next step beyond LHC, main goal to precisely measure properties probe potential physics associated boson. Circular Electron Positron Collider~(CEPC) is one such factories. CEPC an $e^+e^-$ circular hosted China. Located...
Given the prevalence of social media websites, one challenge facing computer vision researchers is to devise methods search for persons interest among billions shared photos on these websites. Despite significant progress in face recognition, searching a large collection unconstrained images remains difficult problem. To address this challenge, we propose system which combines fast procedure, coupled with state-of-the-art commercial off shelf (COTS) matcher, cascaded framework. probe face,...
<h3>Background</h3> Auditory neuropathy spectrum disorder (ANSD) is a form of hearing loss in which auditory signal transmission from the inner ear to nerve and brain stem distorted, giving rise speech perception difficulties beyond that expected for observed degree loss. For many cases ANSD, underlying molecular pathology site lesion remain unclear. The X-linked condition, AUNX1, has been mapped Xq23-q27.3, although causative gene yet be identified. <h3>Methods</h3> We performed whole-exome...
A first-principles-based effective Hamiltonian is used to investigate low-temperature properties of Ba(Zr,Ti)O(3) relaxor ferroelectrics under an increasing dc electric field. This system progressively develops polarization that highly nonlinear with the development leads a maximum static dielectric response at critical field, E(th), and involves four different field regimes. Each these regimes associated its own behavior polar nanoregions, such as shrinking, flipping, elongation dipoles or...
Due to the prevalence of social media websites, one challenge facing computer vision researchers is devise methods process and search for persons interest among billions shared photos on these websites. Facebook revealed in a 2013 white paper that its users have uploaded more than 250 billion photos, are uploading 350 million new each day. this humongous amount data, large-scale face mining web images both important challenging. Despite significant progress recognition, searching large...