| 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 |
| AI-Driven Non-Invasive Biomarker Prediction for Lung Cancer Using Self-Supervised Learning on Large-Scale CT Imaging Data |
Tianyu Han |
University of Pennsylvania |
NLST |
Mar 25, 2025 |
NLST-1409 |
| 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 |
| Manifold Topological Deep Learning for Biomedical Data |
Xiang Liu |
Department of Mathematics, Michigan State University |
NLST |
Mar 5, 2025 |
NLST-1396 |
| 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 |
