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Article
Open AccessPreparing 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...
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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...
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Article
Open AccessA 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...
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Article
Open AccessProbe 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...
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Article
Open AccessImproving 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...
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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...
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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...
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Article
Open AccessComparison 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...
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Chapter and Conference Paper
Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports
Despite the reduction in turn-around times in radiology reporting with the use of speech recognition software, persistent communication errors can significantly impact the interpretation of radiology reports. ...
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Chapter
Prevention and Management of Ovarian Aging
Organ aging is at the core of the disease of aging and drives the occurrence and development of a variety of illnesses, such as Alzheimer’s, cardiovascular disease, and diabetes. Delaying aging is an effective...
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Article
Open AccessVisualization 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...
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Article
Open AccessAuthor Correction: Detecting visually significant cataract using retinal photograph-based deep learning
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Article
Open AccessDetecting 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...
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Chapter and Conference Paper
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning
Accurately predicting a patient’s risk of progressing to late age-related macular degeneration (AMD) is difficult but crucial for personalized medicine. While existing risk prediction models for progression to...
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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...
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Article
Open AccessNLM-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...
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Chapter and Conference Paper
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI
Medical image classification (for example, lesions on MRI scans) is a very challenging task due to the complicated relationships between different lesion sub-types and expensive cost to collect high quality la...
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Chapter and Conference Paper
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles
Reliable localization of abnormal lymph nodes in T2 Magnetic Resonance Imaging (MRI) scans is needed for staging and treatment of lymphoproliferative diseases. Radiologists need to accurately characterize the ...
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Chapter and Conference Paper
Research on Deep Neural Network Model Compression Based on Quantification Pruning and Huffmann Encoding
With the rapid development of hardware GPU and the advent of the era of big data, neural networks have developed rapidly and greatly improved the recognition performance in various fields. The application of n...
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Chapter
Artificial Intelligence in Age-Related Macular Degeneration (AMD)
Age-related macular degeneration (AMD) is the leading cause of legal blindness in developed countries. Based on clinical features, the disease can be classified into early, intermediate, and late stages. In so...
