The Lung EArly Proteins (LEAP) Project |
Hilary Robbins |
International Agency for Research on Cancer |
PLCO |
Feb 3, 2022 |
2021-1022 |
Progression prediction of lung cancer using deep learning model |
Sunghoon Kwon |
Seoul National University |
NLST |
Feb 2, 2022 |
NLST-879 |
Competing risks analysis of multiple cancers with application to vitamin D in PLCO |
Yei Eun Shin |
Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute |
PLCO |
Feb 2, 2022 |
PLCO-904 |
Development of a ML algorithm to predict ovarian cancer risk |
Nicolas Martelin |
Prostperia SAS |
PLCO |
Jan 27, 2022 |
PLCO-903 |
Lung Cancer Patient's survival analysis |
Sreekanth Settur |
Swiss School of Business and Management |
PLCO |
Jan 27, 2022 |
PLCO-902 |
Assessing the Generalizability of Findings from the NLST |
Louise Henderson |
University of North Carolina at Chapel Hill |
NLST |
Jan 26, 2022 |
NLST-876 |
Development and validation of a neural network to detect and describe lung nodules |
Alexandre Compas |
Gleamer SAS |
NLST |
Jan 26, 2022 |
NLST-878 |
Lung Abnormality Detection using Deep learning |
Harshil Soni |
System Level Solutions India Ptv.Ltd. |
NLST |
Jan 26, 2022 |
NLST-875 |
Fully automated end to end analysis of non-small-cell lung carcinoma using deep learning techniques |
Eranga Ukwatta |
University of Guelph |
NLST |
Jan 26, 2022 |
NLST-871 |
Unsupervised analysis of thorax CT datasets |
Marian Himstedt |
University of Luebeck |
NLST |
Jan 18, 2022 |
NLST-870 |
Federated Validation of Lung Nodule Detection Algorithms. |
Brian Ayers |
Gesund AI |
NLST |
Jan 18, 2022 |
NLST-869 |
BMI and the risk of renal cell carcinoma : a case control study |
Benjamin Chung |
Stanford University |
PLCO |
Jan 18, 2022 |
PLCO-896 |
Radiomic analysis of Chest radiographs for prediction of lung cancer outcomes |
Anant Madabhushi |
Emory University |
PLCO |
Jan 18, 2022 |
PLCOI-887 |
Interpretable AI prediction of prostate tumor staging |
Matthias Weidemüller |
Universität Heidelberg |
PLCO |
Jan 18, 2022 |
PLCO-897 |
Pulmonary Adenocarcinoma of Low Malignant Potential |
Eric Burks |
Boston University School Of Medicine |
NLST |
Jan 7, 2022 |
NLST-867 |
Threshold quantile regression models with applications to PSA data |
Eun Ryung Lee |
Sungkyunkwan University |
PLCO |
Jan 7, 2022 |
PLCO-893 |
The timing between the diagnosis and the end of the last treatment in the cancer continuum in patients with colon cancer by TNM stages; and the impact of delays in the final survival of the patients, in PLCO, In the period available in the data set. |
Percy Guzman |
Percy Guzman |
PLCO |
Jan 7, 2022 |
PLCO-882 |
Evaluating key determinants for the risk of second primary lung cancer among bladder cancer survivors using population-based screening trial data from the PLCO |
Summer Han |
Stanford University |
PLCO |
Jan 5, 2022 |
PLCO-886 |
Development of deep learning frameworks based on pathology images for biomarker development |
Jennifer Beane |
Trustees of Boston University |
PLCO |
Jan 5, 2022 |
PLCOI-881 |
The impact of hormone replacement therapy on cancer |
Zhaoyu Li |
University of Western Australia |
PLCO |
Dec 30, 2021 |
PLCO-883 |