Search Results - "Min, Ying"
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Diagnosis of Benign and Malignant Breast Lesions on DCE‐MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue
Published in Journal of magnetic resonance imaging (01-03-2020)“…Background Computer‐aided methods have been widely applied to diagnose lesions detected on breast MRI, but fully‐automatic diagnosis using deep learning is…”
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Improving CBCT quality to CT level using deep learning with generative adversarial network
Published in Medical physics (Lancaster) (01-06-2021)“…Purpose To improve image quality and computed tomography (CT) number accuracy of daily cone beam CT (CBCT) through a deep learning methodology with generative…”
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A Multi-Resolution Approach for Spinal Metastasis Detection using Deep Siamese Neural Networks
Published in Computers in biology and medicine (01-05-2017)“…Abstract Spinal metastasis, a metastatic cancer of the spine, is the most common malignant disease in the spine. In this study, we investigate the feasibility…”
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Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning
Published in European radiology (01-12-2021)“…Objectives To evaluate the performance of deep learning using ResNet50 in differentiation of benign and malignant vertebral fracture on CT. Methods A dataset…”
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Core–shell bimetallic copper–molybdenum sulfides nanomaterials derived from a Cu-based metal-organic framework as efficient bifunctional electrocatalyts
Published in International journal of hydrogen energy (02-01-2024)“…The critical depletion of fossil fuels and the alarming increase in environmental pollution highlight the urgent need to develop efficient and durable…”
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Extracellular vesicles derived from human bone marrow mesenchymal stem cells promote angiogenesis in a rat myocardial infarction model
Published in Journal of molecular medicine (Berlin, Germany) (01-04-2014)“…Mesenchymal stem cells (MSCs) have been increasingly tested experimentally and clinically for cardiac repair. However, the underlying mechanisms remain…”
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Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers
Published in European radiology (01-04-2021)“…Objectives To apply deep learning algorithms using a conventional convolutional neural network (CNN) and a recurrent CNN to differentiate three breast cancer…”
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The Pilot Study on the Effect of a Compassion-Based Program on Gifted Junior High School Students’ Emotional Styles, Self-Compassion, Empathy, and Well-Being
Published in Education sciences (01-10-2024)“…This study investigated the impact of compassion-based programs on gifted students’ emotional style, self-compassion, empathy, and well-being. The study…”
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Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI
Published in Magnetic resonance imaging (01-09-2019)“…To predict the neoadjuvant chemoradiation therapy (CRT) response in patients with locally advanced rectal cancer (LARC) using radiomics and deep learning based…”
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Using the Chinese Version of Frost Multidimensional Perfectionism Scale to Identify the Psychometrics Properties and Typology of Perfectionism Among Gifted Junior High School Students
Published in SAGE open (01-10-2024)“…The study aimed to explore the Chinese version of the Frost Multidimensional Perfectionism Scale suitable for gifted junior high school students and to…”
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Differentiation of spinal metastases originated from lung and other cancers using radiomics and deep learning based on DCE-MRI
Published in Magnetic resonance imaging (01-12-2019)“…To differentiate metastatic lesions in the spine originated from primary lung cancer and other cancers using radiomics and deep learning, compared to…”
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Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net
Published in Academic radiology (01-11-2019)“…Breast segmentation using the U-net architecture was implemented and tested in independent validation datasets to quantify fibroglandular tissue volume in…”
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A randomized clinical trial on the effect of a lidocaine patch on shoulder pain relief in laparoscopic cholecystectomy
Published in Scientific reports (13-01-2021)“…The incidence of laparoscopy-related shoulder pain reaches 90% in women. We evaluated the effect of lidocaine patch 5% on the shoulder pain after laparoscopic…”
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Research progress on chemopreventive effects of phytochemicals on colorectal cancer and their mechanisms
Published in World journal of gastroenterology : WJG (21-08-2016)“…Colorectal cancer(CRC) is a type of cancer with high morbidity and mortality rates worldwide and has become a global health problem. The conventional…”
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Multi‐parametric MRI (mpMRI) for treatment response assessment of radiation therapy
Published in Medical physics (Lancaster) (01-04-2022)“…Magnetic resonance imaging (MRI) plays an important role in the modern radiation therapy (RT) workflow. In comparison with computed tomography (CT) imaging,…”
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Family size, labor supply, and job prestige: Evidence from three decennial censuses in China
Published in China economic review (01-08-2023)“…•Family size affects the labor market performance of mothers in nuclear households.•When possible, mothers switch to family-friendly jobs instead of quitting…”
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Association between diabetes mellitus and lung cancer: Meta‐analysis
Published in European journal of clinical investigation (01-10-2020)“…Background This study aimed to summarize the association between diabetes mellitus (DM) and the incidence of lung cancer using a meta‐analysis of cohort…”
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Magnetic nanoprobes for rapid detection of copper ion in aqueous environment by surface-enhanced Raman spectroscopy
Published in RSC advances (22-12-2021)“…Excessive copper ions in drinking water could cause serious health issues, such as gastrointestinal disorders and cirrhosis, and they are associated with…”
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