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Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.

Name Principal Investigator Institution Study Date Approved Project ID
Machine Learning Classification of Nodules Michal Lada University of Rochester NLST Feb 19, 2019 NLST-484
Automatic Pathological Diagnosis System for Lung Cancer Using Deep Learning Shuhao Wang Tsinghua University NLST Feb 19, 2019 NLST-482
Lung cancer case prioritization tool with automated CT scan classification Ramune Dauksaite Birkbeck College, University of London NLST Feb 19, 2019 NLST-483
Prediction of NSCLS from CT scan and habitual data of a person after two years by using CNN and LSTM machine learning techniques Mayur Munshi University of Manchester NLST Feb 14, 2019 NLST-481
Therapixel-AI Stephanie Lopez Therapixel NLST Feb 5, 2019 NLST-478
Incorporating gender differences in lung cancer screening Kevin ten Haaf Erasmus MC NLST Feb 4, 2019 NLST-480
Data-driven Imaging Biomarker (DIB) study in NLST datasets Ki Hwan Kim Lunit NLST Feb 1, 2019 NLST-474
Automatic heart segmentation using machine learning techniques Julian Bernard LARALAB UG NLST Jan 31, 2019 NLST-477
Evaluating the Potential for Biomarker Use in CT Screening Hilary Robbins International Agency for Research on Cancer (IARC) NLST Jan 31, 2019 NLST-476
Screening for Heart Disease by Coronary Calcium Ryan Chamberlain Imbio, LLC NLST Jan 29, 2019 NLST-473
Multi-Modal Deep Learning for Predicting Screening Outcome from Imaging and Structured Data Rebecca Simpson J&B Engineering NLST Jan 24, 2019 NLST-472
A new convolution network for Pulmonary Nodule Detection Hu Yuan Beihang University NLST Jan 24, 2019 NLST-470
A novel approach to lung cancer detection and prediction using biomechanics-enhanced artificial intelligence Hadi Nia Boston University NLST Jan 18, 2019 NLST-471
Quantifying early lung fibrosis using deep learning Joseph Jacob University College London NLST Jan 15, 2019 NLST-468
Estimating the optimal positivity criterion for lung cancer screening with low-dose computed tomography: A decision modeling approach Rowan Iskandar Brown University NLST Jan 7, 2019 NLST-467
Find Unique Patterns from Pathology Images Tian Xia School of Electronic Information and Communications, Huazhong University of Sci. & Tech. NLST Jan 7, 2019 NLST-466
Gender difference in benefits of lung cancer screening Soon Ho Yoon Seoul National University Hospital NLST Jan 2, 2019 NLST-465
Bayesian statistical approach to model cell-cell interaction for tumor pathology images analysis Alexandra Pershakova Politecnico di Milano NLST Jan 2, 2019 NLST-462
Maestro Anouk Stein MD.ai NLST Jan 2, 2019 NLST-463
Methods for Early Detection of Lung Cancer Rok Sosic Stanford University NLST Dec 28, 2018 NLST-461