False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network.

Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM. Med Phys (2008) 1.86

Computer-aided diagnosis systems for lung cancer: challenges and methodologies. Int J Biomed Imaging (2013) 1.14

Massive-training artificial neural network coupled with Laplacian-eigenfunction-based dimensionality reduction for computer-aided detection of polyps in CT colonography. IEEE Trans Med Imaging (2010) 1.09

Automated breast mass detection in 3D reconstructed tomosynthesis volumes: a featureless approach. Med Phys (2008) 1.04

A supervised 'lesion-enhancement' filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD). Phys Med Biol (2009) 1.00

Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis. J Biomed Inform (2011) 0.98

Computer-aided diagnosis of lung cancer and pulmonary embolism in computed tomography-a review. Acad Radiol (2008) 0.96

Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning. Radiol Phys Technol (2017) 0.95

Computerized analysis of pneumoconiosis in digital chest radiography: effect of artificial neural network trained with power spectra. J Digit Imaging (2011) 0.93

A review of computer-aided diagnosis in thoracic and colonic imaging. Quant Imaging Med Surg (2012) 0.92

Development and evaluation of a computer-aided diagnostic scheme for lung nodule detection in chest radiographs by means of two-stage nodule enhancement with support vector classification. Med Phys (2011) 0.92

Potential lung nodules identification for characterization by variable multistep threshold and shape indices from CT images. Comput Math Methods Med (2014) 0.83

Machine Learning in Computer-aided Diagnosis of the Thorax and Colon in CT: A Survey. IEICE Trans Inf Syst (2013) 0.81

Massive-training support vector regression and Gaussian process for false-positive reduction in computer-aided detection of polyps in CT colonography. Med Phys (2011) 0.81

Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images. Comput Math Methods Med (2016) 0.80

Pixel-based machine learning in medical imaging. Int J Biomed Imaging (2012) 0.80

Does computer-aided diagnosis for lung tumors change satisfaction of search in chest radiography? Acad Radiol (2007) 0.77

Computerized detection of lung nodules by means of "virtual dual-energy" radiography. IEEE Trans Biomed Eng (2012) 0.75

A computerized scheme for lung nodule detection in multiprojection chest radiography. Med Phys (2012) 0.75

A study on the value of computer-assisted assessment for SPECT/CT-scans in sentinel lymph node diagnostics of penile cancer as well as clinical reliability and morbidity of this procedure. Cancer Imaging (2016) 0.75

Survey on Neural Networks Used for Medical Image Processing. Int J Comput Sci (2009) 0.75

Clinical application of a novel computer-aided detection system based on three-dimensional CT images on pulmonary nodule. Int J Clin Exp Med (2015) 0.75

Computerized Classification of Pneumoconiosis on Digital Chest Radiography Artificial Neural Network with Three Stages. J Digit Imaging (2017) 0.75

Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society. Radiology (2005) 9.83

Fleischner Society: glossary of terms for thoracic imaging. Radiology (2008) 9.82

Recommendations for the management of subsolid pulmonary nodules detected at CT: a statement from the Fleischner Society. Radiology (2012) 6.92

The American Association for Thoracic Surgery guidelines for lung cancer screening using low-dose computed tomography scans for lung cancer survivors and other high-risk groups. J Thorac Cardiovasc Surg (2012) 4.68

An extensive repertoire of type III secretion effectors in Escherichia coli O157 and the role of lambdoid phages in their dissemination. Proc Natl Acad Sci U S A (2006) 3.89

Lung image database consortium: developing a resource for the medical imaging research community. Radiology (2004) 3.19

Comparative genomics reveal the mechanism of the parallel evolution of O157 and non-O157 enterohemorrhagic Escherichia coli. Proc Natl Acad Sci U S A (2009) 3.17

Sternal closure with rigid plate fixation versus wire closure: a randomized controlled multicenter trial. Ann Thorac Surg (2012) 2.92

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. Med Phys (2011) 2.48

The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Acad Radiol (2007) 2.15

Independent versus sequential reading in ROC studies of computer-assist modalities: analysis of components of variance. Acad Radiol (2002) 2.12

The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans. Acad Radiol (2007) 2.06

Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans. Med Phys (2003) 2.01

The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements. Acad Radiol (2007) 1.77

Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology (2002) 1.66

Computer-aided diagnosis in thoracic CT. Semin Ultrasound CT MR (2005) 1.63

ppGpp with DksA controls gene expression in the locus of enterocyte effacement (LEE) pathogenicity island of enterohaemorrhagic Escherichia coli through activation of two virulence regulatory genes. Mol Microbiol (2006) 1.53

Non-contrast enhanced MRI for evaluation of breast lesions: comparison of non-contrast enhanced high spectral and spatial resolution (HiSS) images versus contrast enhanced fat-suppressed images. Acad Radiol (2011) 1.49

Breast cancers not detected at MRI: review of false-negative lesions. AJR Am J Roentgenol (2010) 1.49

Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings. Radiology (2004) 1.48

Reduction of bias and variance for evaluation of computer-aided diagnostic schemes. Med Phys (2006) 1.44

ACR Appropriateness Criteria® screening for pulmonary metastases. J Thorac Imaging (2011) 1.43

Pure ductal carcinoma in situ: kinetic and morphologic MR characteristics compared with mammographic appearance and nuclear grade. Radiology (2007) 1.39

Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography. Med Phys (2003) 1.37

Involvement of sex, strain and age factors in high fat diet-induced obesity in C57BL/6J and BALB/cA mice. Exp Anim (2007) 1.36

Automated hepatic volumetry for living related liver transplantation at multisection CT. Radiology (2006) 1.32

Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network. IEEE Trans Med Imaging (2005) 1.32

Investigation of psychophysical measure for evaluation of similar images for mammographic masses: preliminary results. Med Phys (2005) 1.32

Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography. Med Phys (2003) 1.32

Usefulness of an artificial neural network for differentiating benign from malignant pulmonary nodules on high-resolution CT: evaluation with receiver operating characteristic analysis. AJR Am J Roentgenol (2002) 1.30

Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system. AJR Am J Roentgenol (2004) 1.30

Investigation of misfiled cases in the PACS environment and a solution to prevent filing errors for chest radiographs. Acad Radiol (2005) 1.27

Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniques. Med Phys (2004) 1.27

Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images. Med Phys (2003) 1.25

Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules. Med Phys (2003) 1.24

Usefulness of texture analysis for computerized classification of breast lesions on mammograms. J Digit Imaging (2007) 1.23

Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier. Acad Radiol (2008) 1.21

Automatic detection of abnormalities in chest radiographs using local texture analysis. IEEE Trans Med Imaging (2002) 1.20

Shigella effector IpaH9.8 binds to a splicing factor U2AF(35) to modulate host immune responses. Biochem Biophys Res Commun (2005) 1.20

Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images. Med Phys (2002) 1.18

Breast lesions incidentally detected with CT: what the general radiologist needs to know. Radiographics (2007) 1.18

Crystal structure of Clostridium perfringens enterotoxin displays features of beta-pore-forming toxins. J Biol Chem (2011) 1.18

Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI. Magn Reson Imaging (2006) 1.16

Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy. AJR Am J Roentgenol (2004) 1.15

Early death of mice cloned from somatic cells. Nat Genet (2002) 1.15

Experimental design and data analysis in receiver operating characteristic studies: lessons learned from reports in radiology from 1997 to 2006. Radiology (2009) 1.15

Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findings. Radiology (2002) 1.14

Regional characterization of energy metabolism in the brain of normal and MPTP-intoxicated mice using new markers of glucose and phosphate transport. J Biomed Sci (2010) 1.14

BopC is a novel type III effector secreted by Bordetella bronchiseptica and has a critical role in type III-dependent necrotic cell death. J Biol Chem (2006) 1.14

Expression of the MAGE-A4 and NY-ESO-1 cancer-testis antigens and T cell infiltration in non-small cell lung carcinoma and their prognostic significance. Int J Oncol (2006) 1.12

Leucine suppresses myofibrillar proteolysis by down-regulating ubiquitin-proteasome pathway in chick skeletal muscles. Biochem Biophys Res Commun (2005) 1.12

The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth". Acad Radiol (2007) 1.12

Development of The American Association for Thoracic Surgery guidelines for low-dose computed tomography scans to screen for lung cancer in North America: recommendations of The American Association for Thoracic Surgery Task Force for Lung Cancer Screening and Surveillance. J Thorac Cardiovasc Surg (2012) 1.11

Quantitative evaluation of liver function with use of gadoxetate disodium-enhanced MR imaging. Radiology (2011) 1.11

Systematic identification and sequence analysis of the genomic islands of the enteropathogenic Escherichia coli strain B171-8 by the combined use of whole-genome PCR scanning and fosmid mapping. J Bacteriol (2008) 1.11

Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin Nucl Med (2011) 1.11

Automated lung nodule classification following automated nodule detection on CT: a serial approach. Med Phys (2003) 1.10

Computerized detection of pulmonary embolism in spiral CT angiography based on volumetric image analysis. IEEE Trans Med Imaging (2002) 1.10

Polyangitis overlap syndrome: a fatal case combined with adult Henoch-Schönlein purpura and polyarteritis nodosa. Pathol Int (2003) 1.10

Characterization of the membrane-targeting C1 domain in Pasteurella multocida toxin. J Biol Chem (2010) 1.10

TccP2 of O157:H7 and non-O157 enterohemorrhagic Escherichia coli (EHEC): challenging the dogma of EHEC-induced actin polymerization. Infect Immun (2006) 1.09

Development of a computer-aided diagnostic scheme for detection of interval changes in successive whole-body bone scans. Med Phys (2007) 1.08

Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performance. Acad Radiol (2006) 1.07

Determination of subjective similarity for pairs of masses and pairs of clustered microcalcifications on mammograms: comparison of similarity ranking scores and absolute similarity ratings. Med Phys (2007) 1.07

Dual regulatory pathways integrating the RcsC-RcsD-RcsB signalling system control enterohaemorrhagic Escherichia coli pathogenicity. Mol Microbiol (2005) 1.07

Variability in mesothelioma tumor response classification. AJR Am J Roentgenol (2006) 1.06

Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience. Radiology (2003) 1.06

Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening. Acad Radiol (2004) 1.06

Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN). IEEE Trans Med Imaging (2006) 1.05

Impaired liver regeneration after partial hepatectomy in db/db mice. Exp Toxicol Pathol (2003) 1.05

High spectral and spatial resolution MRI of breast lesions: preliminary clinical experience. AJR Am J Roentgenol (2006) 1.04

Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: localized search method based on anatomical classification. Med Phys (2006) 1.04

Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scans. Acad Radiol (2005) 1.04

How can a massive training artificial neural network (MTANN) be trained with a small number of cases in the distinction between nodules and vessels in thoracic CT? Acad Radiol (2005) 1.04

Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology (2005) 1.03