| COVID-19 AI Screening Model Pretraining Using NLST Data - Is CT a clinically meaningful COVID screening tool? |
Shadab Khan |
Group 42 |
NLST |
Apr 6, 2020 |
NLST-654 |
| CT-based COVID-19 Diagnostic Tool |
David Wiley |
Stratovan Corporation |
NLST |
Apr 2, 2020 |
NLST-653 |
| ProstAId-CDS - A Clinical Decision Support System for Prostate Cancer Treatment |
Stefan Bonn |
University Medical Center Hamburg Eppendorf / ZMNH |
PLCO |
Mar 27, 2020 |
PLCOI-589 |
| Estimating the probability of overdiagnosis in PLCO trial |
Jian-Lun Xu |
NCI |
PLCO |
Mar 25, 2020 |
PLCO-600 |
| A systematic assessment of different environmental, lifestyle, medical and familial factors associated with risk of liver cancer and survival |
Youzhu Wei |
Fujian Medical University |
PLCO |
Mar 25, 2020 |
PLCO-604 |
| Accurate detection of COVID-19 patterns from CT lung scans by deep learning |
Piotr Slomka |
Cedars-Sinai Medical Center |
NLST |
Mar 23, 2020 |
NLST-651 |
| Master Degree on Prostate Cancer Survival |
Katarzyna Adamska |
Warsaw School of Economics |
PLCO |
Mar 20, 2020 |
PLCO-596 |
| Biomarkers of Exposure and Response to Coffee Intake |
Erikka Loftfield |
National Cancer Institute |
PLCO |
Mar 20, 2020 |
PLCO-599 |
| Early Diagnosis of Asthma, Thyroid Cancer and Schizophrenia Diseases Using Computational Intelligence Techniques |
Sarah Alotaibi |
IAU |
PLCO |
Mar 20, 2020 |
PLCO-603 |
| EEMS Methods Study Work |
Erikka Loftfield |
National Cancer Institute |
PLCO |
Mar 18, 2020 |
2020-9001 |
| Aspirin use and risk of hepatocellular carcinoma incidence and mortality in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial |
Holli Loomans-Kropp |
National Cancer Institute |
PLCO |
Mar 18, 2020 |
PLCO-601 |
| Diagnosing COVID-19 from deep learning trained on CT scans |
Jean-Remi King |
CNRS |
NLST |
Mar 17, 2020 |
NLST-650 |
| Lung tumor early detection and prognosis with machine learning approach |
Tengfei Li |
University of North Carolina at Chapel Hill |
NLST |
Mar 16, 2020 |
NLST-649 |
| Development of DCNN-based solution for lung cancer detection based on CT images. |
Noé Samaille |
IBM |
NLST |
Mar 16, 2020 |
NLST-648 |
| Dietary inflammatory potential and risk of liver cancer in the PLCO study |
Xuehong Zhang |
The Brigham and Women’s Hospital, Inc. |
PLCO |
Mar 16, 2020 |
PLCO-598 |
| A Machine Learning Approach to Bladder Cancer Screening and Cancer Grade/Stage Differentiation |
Herbert Chase |
The Trustees of Columbia University in the City of New York |
PLCO |
Mar 16, 2020 |
PLCO-597 |
| Association of colorectal polyps with dietary inflammation during screening colonoscopy in Men and Women |
Bhaumik Brahmbhatt |
Mayo Clinic |
PLCO |
Mar 16, 2020 |
PLCO-593 |
| Risk Prediction Model for Endometrial Cancer using multiple Machine Learning Algorithms and Meta-Analysis |
Denis Mihaies |
Brunel Univeristy |
PLCO |
Mar 16, 2020 |
PLCO-590 |
| Autoencoder for CT images and automatic clustering of patients |
michael roberts |
Astrazeneca |
NLST |
Mar 10, 2020 |
NLST-647 |
| Similar Patient Search for Cancer Patients |
Elham Taghizadeh |
Fraunhofer MEVIS: Institute for Digital Medicine |
NLST |
Mar 10, 2020 |
NLST-645 |
