Bin Zheng to Humans
This is a "connection" page, showing publications Bin Zheng has written about Humans.
Connection Strength
1.128
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Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism. Tomography. 2022 Sep 28; 8(5):2411-2425.
Score: 0.046
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Applying Quantitative Radiographic Image Markers to Predict Clinical Complications After Aneurysmal Subarachnoid Hemorrhage: A Pilot Study. Ann Biomed Eng. 2022 Apr; 50(4):413-425.
Score: 0.044
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Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images. J Xray Sci Technol. 2022; 30(2):377-388.
Score: 0.044
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Developing new quantitative CT image markers to predict prognosis of acute ischemic stroke patients. J Xray Sci Technol. 2022; 30(3):459-475.
Score: 0.044
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Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. Comput Methods Programs Biomed. 2021 Mar; 200:105937.
Score: 0.041
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Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. Int J Med Inform. 2020 12; 144:104284.
Score: 0.040
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Developing a Quantitative Ultrasound Image Feature Analysis Scheme to Assess Tumor Treatment Efficacy Using a Mouse Model. Sci Rep. 2019 05 13; 9(1):7293.
Score: 0.037
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Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk. Phys Med Biol. 2018 05 15; 63(10):105005.
Score: 0.034
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Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms. Ann Biomed Eng. 2018 Sep; 46(9):1419-1431.
Score: 0.034
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Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm. Phys Med Biol. 2018 01 30; 63(3):035020.
Score: 0.034
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A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images. Comput Methods Programs Biomed. 2017 Jun; 144:97-104.
Score: 0.032
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Computer-aided classification of mammographic masses using visually sensitive image features. J Xray Sci Technol. 2017; 25(1):171-186.
Score: 0.031
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A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology. J Xray Sci Technol. 2017; 25(5):751-763.
Score: 0.031
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Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions. Phys Med Biol. 2017 01 21; 62(2):358-376.
Score: 0.031
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Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome. BMC Med Imaging. 2016 08 31; 16(1):52.
Score: 0.030
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Improving lung cancer prognosis assessment by incorporating synthetic minority oversampling technique and score fusion method. Med Phys. 2016 Jun; 43(6):2694-2703.
Score: 0.030
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Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy. J Magn Reson Imaging. 2016 11; 44(5):1099-1106.
Score: 0.030
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Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis. Acta Radiol. 2016 Sep; 57(9):1149-55.
Score: 0.029
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Computer-aided breast MR image feature analysis for prediction of tumor response to chemotherapy. Med Phys. 2015 Nov; 42(11):6520-8.
Score: 0.029
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Assessment of performance and reproducibility of applying a content-based image retrieval scheme for classification of breast lesions. Med Phys. 2015 Jul; 42(7):4241-9.
Score: 0.028
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A new approach to develop computer-aided detection schemes of digital mammograms. Phys Med Biol. 2015 Jun 07; 60(11):4413-27.
Score: 0.028
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Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk. Ann Biomed Eng. 2015 Oct; 43(10):2416-28.
Score: 0.028
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A new and fast image feature selection method for developing an optimal mammographic mass detection scheme. Med Phys. 2014 Aug; 41(8):081906.
Score: 0.026
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Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme. Phys Med Biol. 2014 Aug 07; 59(15):4357-73.
Score: 0.026
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Association between computed tissue density asymmetry in bilateral mammograms and near-term breast cancer risk. Breast J. 2014 May-Jun; 20(3):249-57.
Score: 0.026
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Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. Int J Comput Assist Radiol Surg. 2014 Nov; 9(6):1005-20.
Score: 0.026
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Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images. J Biomed Inform. 2008 Apr; 41(2):264-71.
Score: 0.016
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A computer-aided method to expedite the evaluation of prognosis for childhood acute lymphoblastic leukemia. Technol Cancer Res Treat. 2006 Aug; 5(4):429-36.
Score: 0.015
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A Pilot Study to Assess the Performance of Phase-Sensitive Breast Tomosynthesis. Radiology. 2023 Feb; 306(2):e213198.
Score: 0.012
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Recent advances and clinical applications of deep learning in medical image analysis. Med Image Anal. 2022 07; 79:102444.
Score: 0.011
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Quantitative Analysis of Stress-Induced Hyperglycemia and Intracranial Blood Volumes for Predicting Mortality After Intracerebral Hemorrhage. Transl Stroke Res. 2022 08; 13(4):595-603.
Score: 0.011
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Evaluation and comparison of a CdTe based photon counting detector with an energy integrating detector for X-ray phase sensitive imaging of breast cancer. J Xray Sci Technol. 2022; 30(2):207-219.
Score: 0.011
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Using Fourier ptychography microscopy to achieve high-resolution chromosome imaging: an initial evaluation. J Biomed Opt. 2022 01; 27(1).
Score: 0.011
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A phase sensitive x-ray breast tomosynthesis system: Preliminary patient images with cancer lesions. Phys Med Biol. 2021 10 29; 66(21).
Score: 0.011
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Development and preclinical evaluation of a patient-specific high energy x-ray phase sensitive breast tomosynthesis system. Med Phys. 2021 May; 48(5):2511-2520.
Score: 0.010
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Correlation of imaging and plasma based biomarkers to predict response to bevacizumab in epithelial ovarian cancer (EOC). Gynecol Oncol. 2021 05; 161(2):382-388.
Score: 0.010
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Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients. Comput Methods Programs Biomed. 2020 Dec; 197:105759.
Score: 0.010
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In Reply to the Letter to the Editor Regarding "Predicting Clinical Outcome After Mechanical Thrombectomy: The GADIS (Gender, Age, Diabetes Mellitus History, Infarct Volume, and Sex) Score". World Neurosurg. 2020 06; 138:589-590.
Score: 0.010
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Predicting Clinical Outcome After Mechanical Thrombectomy: The GADIS (Gender, Age, Diabetes Mellitus History, Infarct Volume, and Current Smoker [corrected]) Score. World Neurosurg. 2020 02; 134:e1130-e1142.
Score: 0.010
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Measurements of adiposity as prognostic biomarkers for survival with anti-angiogenic treatment in epithelial ovarian cancer: An NRG Oncology/Gynecologic Oncology Group ancillary data analysis of GOG 218. Gynecol Oncol. 2019 10; 155(1):69-74.
Score: 0.009
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Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. Comput Methods Programs Biomed. 2019 Oct; 179:104995.
Score: 0.009
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Systemic response of coated-platelet and peripheral blood inflammatory cell indices after aneurysmal subarachnoid hemorrhage and long-term clinical outcome. J Crit Care. 2019 08; 52:1-9.
Score: 0.009
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Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker. Phys Med Biol. 2018 08 06; 63(15):155020.
Score: 0.009
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Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks. Ann Biomed Eng. 2018 Dec; 46(12):1988-1999.
Score: 0.009
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Quantitative investigation of the edge enhancement in in-line phase contrast projections and tomosynthesis provided by distributing microbubbles on the interface between two tissues: a phantom study. Phys Med Biol. 2017 Nov 21; 62(24):9357-9376.
Score: 0.008
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Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy. Acad Radiol. 2017 10; 24(10):1233-1239.
Score: 0.008
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Detectability comparison between a high energy x-ray phase sensitive and mammography systems in imaging phantoms with varying glandular-adipose ratios. Phys Med Biol. 2017 05 07; 62(9):3523-3538.
Score: 0.008
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Feature selection for the automated detection of metaphase chromosomes: performance comparison using a receiver operating characteristic method. Anal Cell Pathol (Amst). 2014; 2014:565392.
Score: 0.007
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Detection of posteriorly located breast tumors using gold nanoparticles: a breast-mimicking phantom study. J Xray Sci Technol. 2014; 22(6):785-96.
Score: 0.006
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Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry. Acad Radiol. 2013 Dec; 20(12):1542-50.
Score: 0.006
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Evaluations of auto-focusing methods under a microscopic imaging modality for metaphase chromosome image analysis. Anal Cell Pathol (Amst). 2013; 36(1-2):37-44.
Score: 0.006
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The impact of the condenser on cytogenetic image quality in digital microscope system. Anal Cell Pathol (Amst). 2013; 36(1-2):45-59.
Score: 0.006
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Simultaneous dual-color fluorescence microscope: a characterization study. Anal Cell Pathol (Amst). 2013; 36(5-6):163-72.
Score: 0.006
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Automated detection and analysis of fluorescent in situ hybridization spots depicted in digital microscopic images of Pap-smear specimens. J Biomed Opt. 2009 Mar-Apr; 14(2):021002.
Score: 0.005
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Automated classification of metaphase chromosomes: optimization of an adaptive computerized scheme. J Biomed Inform. 2009 Feb; 42(1):22-31.
Score: 0.004
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A rule-based computer scheme for centromere identification and polarity assignment of metaphase chromosomes. Comput Methods Programs Biomed. 2008 Jan; 89(1):33-42.
Score: 0.004