Published in Transl Oncol on February 01, 2014
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. Radiother Oncol (2015) 1.56
Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome. Clin Cancer Res (2014) 1.28
Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma. PLoS One (2015) 1.21
Radiomic feature clusters and prognostic signatures specific for Lung and Head & Neck cancer. Sci Rep (2015) 1.21
Measuring Computed Tomography Scanner Variability of Radiomics Features. Invest Radiol (2015) 1.01
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review. PLoS One (2015) 0.96
Combining radiomic features with a miRNA classifier may improve prediction of malignant pathology for pancreatic intraductal papillary mucinous neoplasms. Oncotarget (2016) 0.93
Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer? Med Phys (2015) 0.92
Improved pulmonary nodule classification utilizing quantitative lung parenchyma features. J Med Imaging (Bellingham) (2015) 0.87
Applications and limitations of radiomics. Phys Med Biol (2016) 0.85
Reliability of PET/CT shape and heterogeneity features in functional and morphological components of Non-Small Cell Lung Cancer tumors: a repeatability analysis in a prospective multi-center cohort. J Nucl Med (2016) 0.80
Computer-Aided Nodule Assessment and Risk Yield Risk Management of Adenocarcinoma: The Future of Imaging? Semin Thorac Cardiovasc Surg (2016) 0.79
Impact of Reconstruction Algorithms on CT Radiomic Features of Pulmonary Tumors: Analysis of Intra- and Inter-Reader Variability and Inter-Reconstruction Algorithm Variability. PLoS One (2016) 0.77
Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma. J Med Imaging (Bellingham) (2015) 0.77
Uncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors. Comput Med Imaging Graph (2015) 0.77
Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. Tomography (2016) 0.77
Imaging features from pre-treatment CT scans are associated with clinical outcomes in non-small-cell lung cancer patients treated with stereotactic body radiotherapy. Med Phys (2017) 0.76
Radiomics of pulmonary nodules and lung cancer. Transl Lung Cancer Res (2017) 0.75
Potential Application of Radiomics for Differentiating Solitary Pulmonary Nodules. OMICS J Radiol (2016) 0.75
Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis. Sci Rep (2016) 0.75
Defining a Radiomic Response Phenotype: A Pilot Study using targeted therapy in NSCLC. Sci Rep (2016) 0.75
Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software. Korean J Radiol (2017) 0.75
2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer. Transl Oncol (2017) 0.75
Texture-based classification of different single liver lesion based on SPAIR T2W MRI images. BMC Med Imaging (2017) 0.75
CT imaging features associated with recurrence in non-small cell lung cancer patients after stereotactic body radiotherapy. Radiat Oncol (2017) 0.75
Harmonizing the pixel size in retrospective computed tomography radiomics studies. PLoS One (2017) 0.75
Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol (2017) 0.75
New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst (2000) 133.74
Cancer statistics, 2008. CA Cancer J Clin (2008) 86.74
A concordance correlation coefficient to evaluate reproducibility. Biometrics (1989) 28.24
A review of feature selection techniques in bioinformatics. Bioinformatics (2007) 13.51
Gene expression-based prognostic signatures in lung cancer: ready for clinical use? J Natl Cancer Inst (2010) 4.80
Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer. Radiology (2009) 3.30
Decoding global gene expression programs in liver cancer by noninvasive imaging. Nat Biotechnol (2007) 3.17
Texture information in run-length matrices. IEEE Trans Image Process (1998) 2.77
The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software. Clin Pharmacol Ther (2008) 2.19
Radiologic measurements of tumor response to treatment: practical approaches and limitations. Radiographics (2008) 2.08
Evaluation of lung MDCT nodule annotation across radiologists and methods. Acad Radiol (2006) 2.00
Peripheral lung adenocarcinoma: correlation of thin-section CT findings with histologic prognostic factors and survival. Radiology (2001) 1.82
Variability in response assessment in solid tumors: effect of number of lesions chosen for measurement. Clin Cancer Res (2003) 1.81
Sometimes size doesn't matter: reevaluating RECIST and tumor response rate endpoints. J Natl Cancer Inst (2006) 1.63
A new simplified comorbidity score as a prognostic factor in non-small-cell lung cancer patients: description and comparison with the Charlson's index. Br J Cancer (2005) 1.44
Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach. Pattern Recognit (2013) 1.36
Abdominal organ segmentation using texture transforms and a Hopfield neural network. IEEE Trans Med Imaging (1999) 1.35
Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error. Transl Oncol (2009) 1.33
Three-dimensional texture analysis of MRI brain datasets. IEEE Trans Med Imaging (2001) 1.29
The opportunities and challenges of developing imaging biomarkers to study lung function and disease. Am J Respir Crit Care Med (2007) 1.03
Automated analysis and detailed quantification of biomedical images using Definiens Cognition Network Technology. Comb Chem High Throughput Screen (2009) 1.01
Shape Analysis of Breast Masses in Mammograms via the Fractal Dimension. Conf Proc IEEE Eng Med Biol Soc (2005) 0.98
High-resolution CT features: prognostic significance in peripheral lung adenocarcinoma with bronchioloalveolar carcinoma components. Respiration (2003) 0.97
X-ray computed tomography: semiautomated volumetric analysis of late-stage lung tumors as a basis for response assessments. Int J Biomed Imaging (2011) 0.96
Scoring system predictive of survival for patients undergoing stereotactic body radiation therapy for liver tumors. Radiat Oncol (2012) 0.84