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  1. Article

    Open Access

    Preparing a microemulsion-loaded hydrogel for cleaning wall paintings and coins

    Removing unwanted materials, such as organic coatings and soil, from the cultural relic surface is a complex and significant task in the field of cultural heritage conservation. Microemulsion-loaded gel can ef...

    **meng Zhu, Jiapeng Wang, Jia Wang, **ghan Ding, **chen Zhao in Heritage Science (2024)

  2. No Access

    Article

    Universal detection and segmentation of lymph nodes in multi-parametric MRI

    Reliable measurement of lymph nodes (LNs) in multi-parametric MRI (mpMRI) studies of the body plays a major role in the assessment of lymphadenopathy and staging of metastatic disease. Previous approaches do n...

    Tejas Sudharshan Mathai, Sungwon Lee in International Journal of Computer Assisted… (2024)

  3. Article

    Open Access

    A deep network DeepOpacityNet for detection of cataracts from color fundus photographs

    Cataract diagnosis typically requires in-person evaluation by an ophthalmologist. However, color fundus photography (CFP) is widely performed outside ophthalmology clinics, which could be exploited to increase...

    Amr Elsawy, Tiarnan D. L. Keenan, Qingyu Chen in Communications Medicine (2023)

  4. Article

    Open Access

    Probe nuclear structure using the anisotropic flow at the Large Hadron Collider

    Recent studies have shown that the shape and radial profile of the colliding nuclei have strong influences on the initial condition of the heavy ion collisions and the subsequent development of the anisotropic...

    Zhiyong Lu, Mingrui Zhao, **aomei Li, Jiangyong Jia in The European Physical Journal A (2023)

  5. Article

    Open Access

    Improving model fairness in image-based computer-aided diagnosis

    Deep learning has become a popular tool for computer-aided diagnosis using medical images, sometimes matching or exceeding the performance of clinicians. However, these models can also reflect and amplify huma...

    Mingquan Lin, Tianhao Li, Yifan Yang, Gregory Holste, Ying Ding in Nature Communications (2023)

  6. No Access

    Article

    Tracking genetic variants in the biomedical literature using LitVar 2.0

    Kee** up with the latest variant-related research is vital for genomic medicine. Here we present LitVar 2.0, a significantly improved web-based system to accurately search for genetic variants in the unstruc...

    Alexis Allot, Chih-Hsuan Wei, Lon Phan, Timothy Hefferon in Nature Genetics (2023)

  7. No Access

    Article

    Universal lymph node detection in T2 MRI using neural networks

    Identification of lymph nodes (LNs) that are suspicious for metastasis in T2 Magnetic Resonance Imaging (MRI) is critical for assessment of lymphadenopathy. Prior work on LN detection has been limited to speci...

    Tejas Sudharshan Mathai, Sungwon Lee in International Journal of Computer Assisted… (2023)

  8. Article

    Open Access

    Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction

    The Pooled Cohort Equations (PCEs) are race- and sex-specific Cox proportional hazards (PH)-based models used for 10-year atherosclerotic cardiovascular disease (ASCVD) risk prediction with acceptable discrimi...

    Yu Deng, Lei Liu, Hongmei Jiang, Yifan Peng, Yishu Wei in BMC Medical Research Methodology (2023)

  9. Article

    Open Access

    Visualization and map** of literature on the scientific analysis of wall paintings: a bibliometric analysis from 2011 to 2021

    As non-renewable cultural heritage, wall paintings play an important role in society. To reveal the trends in the scientific analysis of mural paintings, 845 relevant research articles published from 2011 to 2...

    Zhanyun Zhu, **uya Yao, Yaling Qin, Zhiyong Lu, Qinglin Ma, ** Zhao in Heritage Science (2022)

  10. Article

    Open Access

    Author Correction: Detecting visually significant cataract using retinal photograph-based deep learning

    Yih-Chung Tham, Jocelyn Hui Lin Goh, Ayesha Anees, **aofeng Lei in Nature Aging (2022)

  11. Article

    Open Access

    Detecting visually significant cataract using retinal photograph-based deep learning

    Age-related cataracts are the leading cause of visual impairment among older adults. Many significant cases remain undiagnosed or neglected in communities, due to limited availability or accessibility to catar...

    Yih-Chung Tham, Jocelyn Hui Lin Goh, Ayesha Anees, **aofeng Lei in Nature Aging (2022)

  12. No Access

    Article

    Predicting myocardial infarction through retinal scans and minimal personal information

    In ophthalmologic practice, retinal images are routinely obtained to diagnose and monitor primary eye diseases and systemic conditions affecting the eye, such as diabetic retinopathy. Recent studies have shown...

    Andres Diaz-Pinto, Nishant Ravikumar, Rahman Attar in Nature Machine Intelligence (2022)

  13. Article

    Open Access

    NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature

    Automatically identifying chemical and drug names in scientific publications advances information access for this important class of entities in a variety of biomedical disciplines by enabling improved retriev...

    Rezarta Islamaj, Robert Leaman, Sun Kim, Dongseop Kwon, Chih-Hsuan Wei in Scientific Data (2021)

  14. Article

    Open Access

    Predicting risk of late age-related macular degeneration using deep learning

    By 2040, age-related macular degeneration (AMD) will affect ~288 million people worldwide. Identifying individuals at high risk of progression to late AMD, the sight-threatening stage, is critical for clinical...

    Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón in npj Digital Medicine (2020)

  15. No Access

    Article

    Anticancer effects of brusatol in nasopharyngeal carcinoma through suppression of the Akt/mTOR signaling pathway

    Brusatol, a natural quassinoid that is isolated from a traditional Chinese herbal medicine known as Bruceae Fructus, possesses biological activity in various types of human cancers, but its effects in nasophar...

    Songbin Guo, **ling Zhang, Cairong Wei, Zhiyong Lu in Cancer Chemotherapy and Pharmacology (2020)

  16. Article

    Open Access

    Automated abnormality classification of chest radiographs using deep convolutional neural networks

    As one of the most ubiquitous diagnostic imaging tests in medical practice, chest radiography requires timely reporting of potential findings and diagnosis of diseases in the images. Automated, fast, and relia...

    Yu-**ng Tang, You-Bao Tang, Yifan Peng, Ke Yan in npj Digital Medicine (2020)

  17. Article

    Open Access

    Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records

    Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and mod...

    Qingyu Chen, **gcheng Du, Sun Kim in BMC Medical Informatics and Decision Making (2020)

  18. Article

    Open Access

    Tracking human genes along the translational continuum

    Understanding the drivers of research on human genes is a critical component to success of translation efforts of genomics into medicine and public health. Using publicly available curated online databases we ...

    Kyubum Lee, Mindy Clyne, Wei Yu, Zhiyong Lu, Muin J. Khoury in npj Genomic Medicine (2019)

  19. No Access

    Article

    GRID: a student project to monitor the transient gamma-ray sky in the multi-messenger astronomy era

    The Gamma-Ray Integrated Detectors (GRID) is a space mission concept dedicated to monitoring the transient gamma-ray sky in the energy range from 10 keV to 2 MeV using scintillation detectors onboard CubeSats ...

    Jiaxing Wen, **angyun Long, Xutao Zheng, Yu An, Zhengyang Cai in Experimental Astronomy (2019)

  20. Article

    Open Access

    BioWordVec, improving biomedical word embeddings with subword information and MeSH

    Distributed word representations have become an essential foundation for biomedical natural language processing (BioNLP), text mining and information retrieval. Word embeddings are traditionally computed at th...

    Yijia Zhang, Qingyu Chen, Zhihao Yang, Hongfei Lin, Zhiyong Lu in Scientific Data (2019)

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