| Using Interpretable and (Explainable) Ensemble Methods to Unpack Disease Predictions: An Empirical Study of the Cancer Prediction Problem |
Gorkem Turgut Ozer |
University of New Hampshire |
PLCO |
Apr 12, 2024 |
PLCO-1530 |
| Applying Machine Learning To Assess Dietary Patterns |
Weslie Khoo |
Indiana University |
IDATA |
Apr 11, 2024 |
IDATA-72 |
| Predictive Health: Navigating Dietary Dynamics and BMI Trajectories for Chronic Condition Prevention |
Yao-Chi Yu |
Tarleton State University |
IDATA |
Apr 11, 2024 |
IDATA-70 |
| The relevance of co-morbidities and other modifiable risk factors beyond BMI in determining prognosis among gynecologic cancers |
Mauricio Cuello |
Pontificia Universidad Católica de Chile |
PLCO |
Apr 10, 2024 |
PLCO-1457 |
| Role of dietary intake in cancer survival |
Maryam Farvid |
George Mason University |
PLCO |
Apr 3, 2024 |
PLCO-1511 |
| Neural Network AI detection of Breast cancer (Education) |
Hudson Leslie |
Kingwood Park High School |
PLCO |
Apr 2, 2024 |
PLCO-1524 |
| Screening lung cancer from CT scans through deep learning and assistive AI |
Amulya Mathur |
Carnegie Mellon University |
NLST |
Apr 2, 2024 |
NLST-1225 |
| Probabilistic Analysis of NLST data and prediction |
Jyoti Bhadana |
University of Alberta |
NLST |
Apr 2, 2024 |
NLST-1224 |
| Predicting Pulmonary Function Abnormalities with a Texture-Based Quantification of Normal Lung Parenchyma in Chest Computed Tomography |
Alysson Carvalho |
ID'Or Institute Research and Education |
NLST |
Apr 2, 2024 |
NLST-1223 |
| Enhancing Pulmonary Involvement Assessment in Computed Tomography Scans Using Predictive Models Based on Demographics and Anatomical Measurements |
Alysson Carvalho |
ID'Or |
NLST |
Apr 2, 2024 |
NLST-1222 |
| Integrating AI-Driven Analysis of Clinical and Imaging Data to Optimize Lung Cancer Treatment Strategies |
Ricardo Gonzales Vera |
University of Oxford |
PLCO |
Apr 2, 2024 |
PLCOI-1517 |
| WARIFA - Watching the Risk Factors |
Giovanni Sebastiani |
Institute for applied mathematics "Mauro Picone" (IAC) |
PLCO |
Apr 2, 2024 |
PLCO-1521 |
| AI-assisted Lung Nodule Detection in Radiology |
Anita Blazevic |
FH Technikum Vienna |
NLST |
Mar 27, 2024 |
NLST-1215 |
| Covariate data for new set of controls for GWAS studies |
Rachael Stolzenberg-Solomon |
DCEG, NCI |
PLCO |
Mar 27, 2024 |
PLCO-1515 |
| Enhancing Lung Cancer Treatment Decisions through AI-driven Analysis of PLCO Patient Data |
Ricardo Gonzales Vera |
University of Oxford |
PLCO |
Mar 27, 2024 |
PLCO-1514 |
| Multimodal Medical Imaging Fusion for Diagnostic Assistance: Towards a General Model |
Axel Bessy |
ATOS |
NLST |
Mar 25, 2024 |
NLST-1210 |
| A Hybrid Classical-Quantum Neural Network to Predict Future Lung Cancer Risk From a Single Low-Dose CT |
Weixin Lu |
New York University |
NLST |
Mar 25, 2024 |
NLST-1208 |
| XECAN and Rescue Lung CTLS Registry |
Bin Yang |
XECAN Smart Safe Oncology |
NLST |
Mar 25, 2024 |
NLST-1203 |
| Pan-cancer analyses of imaging-clinical phenotype associations using updated PLCO cohorts |
Kun-Hsing Yu |
President and Fellows of Harvard College |
PLCO |
Mar 25, 2024 |
PLCOI-1509 |
| Clarifying Lung Cancer Risk Among Prostate Cancer Survivors |
Keith Sigel |
Icahn School of Medicine at Mount Sinai |
PLCO |
Mar 25, 2024 |
PLCO-1508 |
