| Analyzing the progression of cancers |
Guihua Wang |
The University of Texas at Dallas |
NLST |
Mar 5, 2025 |
NLST-1393 |
| Epigenetic Characterization of Cell-Free DNA in the National Lung Screening Trial |
Xianghong Zhou |
UCLA |
NLST |
Mar 5, 2025 |
NLST-1392 |
| An Analysis of Design and Evaluation Metrics in Studies Using AI to Predict Future Cancer from Medical Imaging |
Bhramar Mukherjee |
Yale University |
NLST |
Feb 19, 2025 |
NLST-1388 |
| Investigating Survival Dynamics in Oncological Patients Through Machine Learning and Deep Learning Approaches |
Yukti Tripathi |
Amity University |
NLST |
Feb 6, 2025 |
NLST-1386 |
| Bidirectional Siamese Masked Autoencoders for Lung Cancer Prediction from Low-Dose CT Scans |
Aiden Yun |
The Nueva School |
NLST |
Jan 27, 2025 |
NLST-1384 |
| Utilization of Deep Learning Architectures for the Automated Detection of Pulmonary tumor and Tuberculosis in Thoracic Radiographic Imaging |
Mutlu Avci |
Çukurova University |
NLST |
Jan 10, 2025 |
NLST-1380 |
| Integrating AI into Radiology: Automated Detection of Pulmonary Emphysema |
Daniel Babalola |
University of Pennsylvania |
NLST |
Jan 10, 2025 |
NLST-1379 |
| Evaluating whether 3D chest extrapulmonary musculature measurements improve prediction performance relative to conventional risk factors for all-cause mortality in a lung cancer screening cohort. |
Miranda Kirby |
Toronto Metropolitain University |
NLST |
Dec 16, 2024 |
NLST-1370 |
| Multimodal Deep Learning Model for Lung Cancer Detection: Optimal Fusion of Radiological and Clinical Data for Precision Medicine |
Tushar Mehta |
Parkland High School |
NLST |
Dec 16, 2024 |
NLST-1369 |
| Evaluating the Impact of Radiologist Experience and AI Integration on Lung Cancer Screening Performance: A Comparative Analysis of a Leading Dutch Radiology Center Using NLST Data |
Alex Puiu |
PRMSE-SCREENING |
NLST |
Dec 16, 2024 |
NLST-1368 |
| Multimodal and interpretable deep learning algorithm to classify lung nodules |
Luis Montuenga |
University of Navarra |
NLST |
Dec 16, 2024 |
NLST-1367 |
| Trustworthy Deep Learning Models for Calcification Assessment in Radiotherapy CT using NLST Data |
Ivana Isgum |
Amsterdam University Medical Center |
NLST |
Dec 4, 2024 |
NLST-1362 |
| A nested case-control study from NLST to evaluate a multiplex protein biomarker-based immunoassay for the early detection of bladder cancer |
Charles Rosser |
Cedars-Sinai Medical Center |
NLST |
Nov 21, 2024 |
NLST-1360 |
| Chest CT Radiomics and Outcomes |
Sadeer Al-Kindi |
Houston Methodist Research Institute |
NLST |
Nov 21, 2024 |
NLST-1359 |
| Improving risk stratification for lung cancer screening using peripheral blood leukocyte DNA methylation: an investigation in the National Lung Screening Trial (NLST) |
Dominique Michaud |
Tufts University |
NLST |
Nov 19, 2024 |
NLST-1358 |
| Improved Methods for Comparing Human Radiologists to AI tools |
Ashesh Rambachan |
Massachusetts Institute of Technology |
NLST |
Nov 12, 2024 |
NLST-1357 |
| Machine Learning approach for the analysis of lung cancer data to aid the radiologists at global level |
Tiratharaj Singh |
Jaypee University of Information Technology (JUIT) |
NLST |
Nov 12, 2024 |
NLST-1355 |
| Using deep learning models to infer spatial transcriptomics from H&E slides |
Eytan Ruppin |
Cancer Data Science Laboratory, NCI |
NLST |
Nov 5, 2024 |
NLST-1353 |
| Comparing the accuracy of machine learning diagnosis of lung cancer from different data modalities |
Polina Golland |
Massachusetts Institute of Technology |
NLST |
Nov 5, 2024 |
NLST-1349 |
| Radiomics-Driven Predictive Lung Cancer Models |
Patrice Essien |
George Washington University |
NLST |
Nov 5, 2024 |
NLST-1347 |
