Search Results - "Shandong, Wu"

Handling imbalanced medical image data: A deep-learning-based one-class classification approach by Gao, Long, Zhang, Lei, Liu, Chang, Wu, Shandong

“…[Display omitted] •A novel deep-learning-based model for the data imbalance problem.•Effective perturbing operations to capture single-class-relevant…”
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COX-2 in liver fibrosis by Yang, Hu, Xuefeng, Yang, Shandong, Wu, Jianhua, Xiao

“…•A recent progress on COX-2-related signaling pathways is summarized.•The mechanism relies on COX-2 in hepatic fibrosis, including hepatic inflammation,…”
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A deep learning method for classifying mammographic breast density categories by Mohamed, Aly A., Berg, Wendie A., Peng, Hong, Luo, Yahong, Jankowitz, Rachel C., Wu, Shandong

“…Purpose Mammographic breast density is an established risk marker for breast cancer and is visually assessed by radiologists in routine mammogram image…”
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Machine learning prediction of axillary lymph node metastasis in breast cancer: 2D versus 3D radiomic features by Arefan, Dooman, Chai, Ruimei, Sun, Min, Zuley, Margarita L., Wu, Shandong

“…Purpose The purpose of this study was to distinguish axillary lymph node (ALN) status using preoperative breast DCE‐MRI radiomics and compare the effects of…”
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Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics by Nebbia, Giacomo, Zhang, Qian, Arefan, Dooman, Zhao, Xinxiang, Wu, Shandong

“…Microvascular invasion (mVI) is the most significant independent predictor of recurrence for hepatocellular carcinoma (HCC), but its pre-operative assessment…”
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A machine and human reader study on AI diagnosis model safety under attacks of adversarial images by Zhou, Qianwei, Zuley, Margarita, Guo, Yuan, Yang, Lu, Nair, Bronwyn, Vargo, Adrienne, Ghannam, Suzanne, Arefan, Dooman, Wu, Shandong

“…While active efforts are advancing medical artificial intelligence (AI) model development and clinical translation, safety issues of the AI models emerge, but…”
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Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening by Aboutalib, Sarah S, Mohamed, Aly A, Berg, Wendie A, Zuley, Margarita L, Sumkin, Jules H, Wu, Shandong

“…False positives in digital mammography screening lead to high recall rates, resulting in unnecessary medical procedures to patients and health care costs. This…”
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Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades by Zhang, Zhiwei, Xiao, Jingjing, Wu, Shandong, Lv, Fajin, Gong, Junwei, Jiang, Lin, Yu, Renqiang, Luo, Tianyou

“…The grading of glioma has clinical significance in determining a treatment strategy and evaluating prognosis to investigate a novel set of radiomic features…”
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Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study by Liu, Chang, Sun, Min, Arefan, Dooman, Zuley, Margarita, Sumkin, Jules, Wu, Shandong

“…Patients with a Breast Imaging Reporting and Data System (BI-RADS) 4 mammogram are currently recommended for biopsy. However, 70-80% of the biopsies are…”
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Automated deep learning method for whole‐breast segmentation in diffusion‐weighted breast MRI by Zhang, Lei, Mohamed, Aly A., Chai, Ruimei, Guo, Yuan, Zheng, Bingjie, Wu, Shandong

“…Background Diffusion‐weighted imaging (DWI) in MRI plays an increasingly important role in diagnostic applications and developing imaging biomarkers. Automated…”
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Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes by Shandong Wu, Moore, B E, Shah, M

“…A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects…”
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Regulatory roles of APS reductase in Citrobacter sp. XT1-2-2 as a response mechanism to cadmium immobilization in rice by Liu, Zhudong, Li, Yilu, Shan, Shiping, Zhang, Min, Yang, Hua, Cheng, Wei, Wei, Xiaowu, Wang, Yushuang, Wu, Shandong

“…Citrobacter sp. XT1-2-2, a functional microorganism with potential utilization, has the ability to immobilize soil cadmium. In this study, the regulatory gene…”
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Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes by Arefan, Dooman, Hausler, Ryan M, Sumkin, Jules H, Sun, Min, Wu, Shandong

“…The abundance of immune and stromal cells in the tumor microenvironment (TME) is informative of levels of inflammation, angiogenesis, and desmoplasia…”
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Correction to: Association of “initial CT” findings with mortality in older patients with coronavirus disease 2019 (COVID-19) by Li, Yan, Yang, Zhenlu, Ai, Tao, Wu, Shandong, Xia, Liming

“…The original version of this article, published on 10 June 2020, unfortunately contained a mistake. The presentation of Figure 5 was incorrect…”
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Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study by Clancy, Kadie, Aboutalib, Sarah, Mohamed, Aly, Sumkin, Jules, Wu, Shandong

“…In this work, we assess how pre-training strategy affects deep learning performance for the task of distinguishing false-recall from malignancy and normal…”
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Structures and Anti-Allergic Activities of Natural Products from Marine Organisms by Chen, Na, Zhang, Shanshan, Javeed, Ansar, Jian, Cuiqin, Liu, Yi, Sun, Jinlyu, Wu, Shandong, Fu, Peng, Han, Bingnan

“…In recent years, allergic diseases have occurred frequently, affecting more than 20% of the global population. The current first-line treatment of…”
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Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories by Shandong Wu, Oreifej, O., Shah, M.

“…Recognition of human actions in a video acquired by a moving camera typically requires standard preprocessing steps such as motion compensation, moving object…”
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Flexible signature descriptions for adaptive motion trajectory representation, perception and recognition by Wu, Shandong, Li, Y.F.

“…Motion trajectory is a meaningful and informative clue in characterizing the motions of human, robots or moving objects. Hence, it is important to explore…”
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Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective by Mohamed, Aly A., Luo, Yahong, Peng, Hong, Jankowitz, Rachel C., Wu, Shandong

“…Mammographic breast density has been established as an independent risk marker for developing breast cancer. Breast density assessment is a routine clinical…”
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Radiomic features from computed tomography to differentiate invasive pulmonary adenocarcinomas from non-invasive pulmonary adenocarcinomas appearing as part-solid ground-glass nodules by Luo, Ting, Xu, Ke, Zhang, Zheng, Zhang, Lina, Wu, Shandong

“…We aim to investigate radiomic imaging features extracted in computed tomography (CT) images to differentiate invasive pulmonary adenocarcinomas (IPAs) from…”
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