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Here you can browse the complete list of publications for studies listed on CDAS.

Publication Year
Title PubMed Authors Journal Year Studies
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. 34040283 Gao R, Huo Y, Bao S, Tang Y, Antic SL, Epstein ES, Balar AB, Deppen S, Paulson AB, Sandler KL, Massion PP, Landman BA Mach Learn Med Imaging 2019 NLST
Using Sequential Decision Making to Improve Lung Cancer Screening Performance. 32754420 Petousis P, Winter A, Speier W, Aberle DR, Hsu W, Bui AAT IEEE Access 2019 NLST
A Bayesian hidden Potts mixture model for analyzing lung cancer pathology images. 29788035 Li Q, Wang X, Liang F, Yi F, Xie Y, Gazdar A, Xiao G Biostatistics 2019 NLST
Pancreatic Cancer Prediction Through an Artificial Neural Network. 33733091 Muhammad W, Hart GR, Nartowt B, Farrell JJ, Johung K, Liang Y, Deng J Front Artif Intell 2019 PLCO
Potentially functional genetic variants in the TNF/TNFR signaling pathway genes predict survival of patients with non-small cell lung cancer in the PLCO cancer screening trial. 30989732 Guo Y, Feng Y, Liu H, Luo S, Clarke JW, Moorman PG, Su L, Shen S, Christiani DC, Wei Q Mol Carcinog 2019 PLCO
Circulating inflammation markers and colorectal adenoma risk. 30753331 Huang WY, Berndt SI, Shiels MS, Katki HA, Chaturvedi AK, Wentzensen N, Trabert B, Kemp TJ, Pinto LA, Hildesheim A, Rothman N, Purdue MP Carcinogenesis 2019 PLCO
Diet and risk of glioma: combined analysis of 3 large prospective studies in the UK and USA. 30690490 Kuan AS, Green J, Kitahara CM, Berrington De González A, Key T, K Reeves G, Floud S, Balkwill A, Bradbury K, Liao LM, Freedman ND, Beral V, Sweetland S, Million Women Study, the NIH-AARP study, and the PLCO study Neuro Oncol 2019 PLCO
Multi-window CT based Radiomic signatures in differentiating indolent versus aggressive lung cancers in the National Lung Screening Trial: a retrospective study. 31253194 Lu H, Mu W, Balagurunathan Y, Qi J, Abdalah MA, Garcia AL, Ye Z, Gillies RJ, Schabath MB Cancer Imaging 2019 NLST
Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules. 31189944 Balagurunathan Y, Schabath MB, Wang H, Liu Y, Gillies RJ Sci Rep 2019 NLST
Deep learning-enabled accurate normalization of reconstruction kernel effects on emphysema quantification in low-dose CT. 31185463 Jin H, Heo C, Kim JH Phys Med Biol 2019 NLST
Impact of current versus former smoking status on the outcomes of non-metastatic non-small cell lung cancer treated with upfront surgery; findings from the National Lung Screening Trial. 31055993 Abdel-Rahman O Expert Rev Respir Med 2019 NLST
Development and Validation of a Pathology Image Analysis-based Predictive Model for Lung Adenocarcinoma Prognosis - A Multi-cohort Study. 31053738 Luo X, Yin S, Yang L, Fujimoto J, Yang Y, Moran C, Kalhor N, Weissferdt A, Xie Y, Gazdar A, Minna J, Wistuba II, Mao Y, Xiao G Sci Rep 2019 NLST
Accuracy of the Vancouver Lung Cancer Risk Prediction Model Compared With That of Radiologists. 30981723 MacMahon H, Li F, Jiang Y, Armato SG Chest 2019 NLST
External validation and recalibration of the Brock model to predict probability of cancer in pulmonary nodules using NLST data. 30898897 Winter A, Aberle DR, Hsu W Thorax 2019 NLST
The Prevalence of Obstructive Lung Disease in a Lung Cancer Screening Cohort: Analysis of the National Lung Screening Trial-American College of Radiology Image Network Cohort. 30673510 de-Torres JP, Wisnivesky JP, Bastarrika G, Wilson DO, Celli BR, Zulueta JJ Ann Am Thorac Soc 2019 NLST
Predicting breast cancer risk using personal health data and machine learning models. 31881042 Stark GF, Hart GR, Nartowt BJ, Deng J PLoS One 2019 PLCO
Stratifying Ovarian Cancer Risk Using Personal Health Data. 33693347 Hart GR, Nartowt BJ, Muhammad W, Liang Y, Huang GS, Deng J Front Big Data 2019 PLCO
Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data. 31437221 Nartowt BJ, Hart GR, Roffman DA, Llor X, Ali I, Muhammad W, Liang Y, Deng J PLoS One 2019 PLCO
The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer. 31700994 Figlioli G, Bogliolo M, Catucci I, Caleca L, Lasheras SV, Pujol R, Kiiski JI, Muranen TA, Barnes DR, Dennis J, Michailidou K, Bolla MK, Leslie G, Aalfs CM, ABCTB Investigators, Adank MA, Adlard J, Agata S, Cadoo K, Agnarsson BA, Ahearn T, Aittomäki … NPJ Breast Cancer 2019 PLCO
Two truncating variants in FANCC and breast cancer risk. 31467304 Dörk T, Peterlongo P, Mannermaa A, Bolla MK, Wang Q, Dennis J, Ahearn T, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Augustinsson A, Freeman LEB, Beckmann MW, Beeghly-Fadiel A, Behrens S, Bermisheva M, Blomqvist C, Bogdanova NV, Bojesen SE, Br… Sci Rep 2019 PLCO