| Self-Identified Race and Ethinicity: Ancestry and Geospatial Context |
Timothy Rebbeck |
Dana-Farber Cancer Institute, Inc. |
PLCO |
Aug 13, 2019 |
PLCO-501 |
| Associations of dietary Choline, Carnitine, and Betaine with Colorectal Cancer Risk |
Doratha Byrd |
National Cancer Institute |
PLCO |
Aug 12, 2019 |
PLCO-506 |
| Contribution of Inherited Risk to the Development of Ovarian Carcinoma in the PLCO Trial |
Barbara Norquist |
University of Washington |
PLCO |
Aug 12, 2019 |
2019-0022 |
| Pulmonary nodule detection with deep learning |
Ji Park |
JLK-INSPECTION |
NLST |
Aug 9, 2019 |
NLST-551 |
| Prophet: Deep Learning to Predict the Early Onset of Cancers |
Ariel Elizarov |
Lazarus |
PLCO |
Aug 8, 2019 |
PLCOI-505 |
| Meta-learning from digital pathology images for pancancer applications. |
Olivier Gevaert |
Stanford University |
PLCO |
Aug 7, 2019 |
PLCO-493 |
| 3D Visualization and segmentation of lung CT |
William Daughton |
Curemetrix, Inc. |
NLST |
Aug 7, 2019 |
NLST-550 |
| Machine learning based lung cancer identification and characterization |
Richard Vlasimsky |
IMIDEX |
PLCO |
Aug 7, 2019 |
PLCOI-503 |
| Validation of ovarian cancer metabolomics risk factors and early detection markers |
Oana Zeleznik |
Brigham and Women's Hospital |
PLCO |
Aug 2, 2019 |
2019-0021 |
| Risk stratification for pulmonary nodules detected by CT imaging using plasma and imaging biomarkers |
Paul E Kinahan |
University of Washington |
NLST |
Jul 30, 2019 |
NLST-544 |
| Lung Cancer Diagnosis using Artificial Intelligence |
Shital Bhatt |
MBIT |
NLST |
Jul 29, 2019 |
NLST-547 |
| Computational prediction of treatment outcome by machine learning |
Matloob Khushi |
School of Computer Science |
PLCO |
Jul 25, 2019 |
PLCO-496 |
| Bioinformatics as a diagnostic tool in Liver Cancer. |
Min Ding |
Isvial LLC |
PLCO |
Jul 22, 2019 |
PLCO-498 |
| Correlate quantitative CT features with long-term outcomes in patients with early signs of fibrosis |
Joseph Jacob |
University College London |
NLST |
Jul 19, 2019 |
NLST-543 |
| Is 6 month an appropriate follow-up interval for LungRADS category 3 cases? |
Edward Patz |
Duke University School of Medicine |
NLST |
Jul 17, 2019 |
NLST-541 |
| Lung Nodule Analysis |
Apparao MLV |
Endimension Technology |
NLST |
Jul 15, 2019 |
NLST-539 |
| Development and validation of a candidate selection model for lung cancer screening and a nodule risk prediction model using CT scans |
Hyungjin Kim |
Seoul National University Hospital |
NLST |
Jul 12, 2019 |
NLST-538 |
| Extracting Image Features with Deep Learning to Improve Cancer Risk Calculation |
Hormuzd Katki |
NCI |
NLST |
Jul 11, 2019 |
NLST-537 |
| Advanced visual turing test of Generative Adversarial Networks using lung CT scans |
Pascal Michel |
Michel Ventures UG (haftungsbeschränkt) |
NLST |
Jul 11, 2019 |
NLST-535 |
| Development and validation of a candidate selection model for lung cancer screening using low-dose CT |
Hyungjin Kim |
Seoul National University Hospital |
PLCO |
Jul 11, 2019 |
PLCO-492 |
