| Data Analysis of the Lung cancer data |
Roza Sekouri |
FutureFunded SL |
NLST |
Mar 25, 2025 |
NLST-1411 |
| Enhancing Lung Nodule Detection and Characterization Using NLST Data |
Adam Harrison |
Riverain Technologies |
NLST |
Mar 25, 2025 |
NLST-1410 |
| Devel |
Yuri Ahuja |
Oatmeal Health |
NLST |
Mar 18, 2025 |
NLST-1407 |
| AI-Driven Web-Based Tool for Lung Cancer Classification and Treatment Recommendation |
Manita Tamang |
Southampton Solent University |
NLST |
Mar 12, 2025 |
NLST-1403 |
| Development of an AI based Web Application for Precision Medicine in Human lung cancer |
hajar baider |
L'ENSA (École Nationale des Sciences Appliquées) de l'Université Abdelmalek Essaadi à Tanger |
NLST |
Mar 12, 2025 |
NLST-1404 |
| PulmoScan |
abdellaoui Malek |
École supérieure privée d'ingénierie et de technologie |
NLST |
Mar 12, 2025 |
NLST-1405 |
| COMPUTED TOMOGRAPHY IN DIFFERENTIATING BENIGN AND MALIGNANT PULMONARY NODULES TAKING HISTOPATHOLOGY AS GOLD STANDARD |
Saoud Arshad |
University Of Lahore |
NLST |
Mar 12, 2025 |
NLST-1401 |
| Assessing the Usefulness of AI in Lung Cancer Detection on Chest Radiographs: A Retrospective Study Using NLST Data |
Dennis Robert |
Qure.ai Technologies Private Limited |
NLST |
Mar 5, 2025 |
NLST-1400 |
| Prognostic risk assessment based on deep learning features of lung cancerpathological images |
Lei Cao |
Department of Biostatistics, School of Public Health, Harbin Medical University |
NLST |
Mar 5, 2025 |
NLST-1397 |
| Manifold Topological Deep Learning for Biomedical Data |
Xiang Liu |
Department of Mathematics, Michigan State University |
NLST |
Mar 5, 2025 |
NLST-1396 |
| Validation of an AI algorithm for preoperative planning for lung cancer patients |
Chen Xia |
Infervision |
NLST |
Feb 19, 2025 |
NLST-1389 |
| 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 |
| Predict site-specific and multiple cancer risk through cohort study data of NLST |
Fulan Hu |
Shenzhen University Medical School |
NLST |
Jan 13, 2025 |
NLST-1382 |
| 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 |
| Data-driven Optimal Personalized Early Screening Strategies for Lung Cancer |
Jianjin Yue |
Sichuan University |
NLST |
Jan 6, 2025 |
NLST-1374 |
| Association Between Age and Lung Cancer: Exploring the Mediating Effects of Lobar Radiomics |
Lei Shi |
Radiology Department of Zhejiang Cancer Hospital |
NLST |
Dec 16, 2024 |
NLST-1371 |
| 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 |
