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Here you can browse the complete list of projects on CDAS that have already been approved.

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Results: 1504 (Showing 1 to 20) — Export these results

Name Principal Investigator Institution Study Date Approved Project ID
Intelligent personable treatment recommendation Xiaoshui Huang The University of Sydney NLST Nov 15, 2019 NLST-584
A Comparison Between Multi Classification Algorithms on PLCO Colorectal Cancer Dataset Bawer Berwary Van Yuzuncu Yil University PLCO Nov 14, 2019 PLCO-533
Predicting Cancer diagnosis based on preliminary screenings Jonathan Mendoza Independent PLCO Nov 14, 2019 PLCO-532
Link-based survival additive models with mixed types of censoring. Giampiero Marra University College London PLCO Nov 14, 2019 PLCO-538
Data mining study on clinical and imaging data for assessing cancer risk and estimating outcome Shandong Wu University of Pittsburgh, Department of Radiology PLCO Nov 14, 2019 PLCOI-519
Predicting lung cancer recurrence with machine learning Flavio Calmon Harvard University PLCO Nov 13, 2019 PLCOI-522
Using Region based Convolutional Neural Networks (RCNNs) and its variants to detect, classify, segment and predict lung cancer signatures from NLST data Pratik Shah Massachusetts Institute of Technology NLST Nov 13, 2019 NLST-599
Bias-correction of relative risks by robustly incorporating validation studies that include multiple methods of physical activity assessment and related biomarkers Xin Zhou Yale University IDATA Nov 7, 2019 IDATA-32
Minibatch Gradient Descent Method for Deep Survival Analysis James Sharpnack University of California-Davis NLST Nov 7, 2019 NLST-597
Machine Learning to select patients benefiting from prostate cancer screening Jean-Emmanuel Bibault Laboratory of Artificial Intelligence in Medicine and Biomedical Physics, Stanford University PLCO Nov 6, 2019 PLCO-541
Exploration of deep learning-based model's lung cancer screening capabilities. Manwoo Lee Samsung Electronics PLCO Nov 4, 2019 PLCOI-537
Quantitative analysis of tissue morphology and biomarkers with convolutional neural networks for improve prognostics of prostate cancer Geert Litjens Radboud University Medical Center PLCO Nov 4, 2019 PLCOI-540
“Development of a probabilistic network for clinical pathways based on patient cohort characteristics, outcome-indicators and clinical workflow analysis to create artificial patients with prostatic adenocarcinoma” Andrea Riedel Institute for general practitioners PLCO Nov 4, 2019 PLCO-535
Evaluation of Patients Data using AI techniques and It's Application in Pancreatic Cancer Differential Diagnosis Wanessa Sena Federal Institute of Pernambuco PLCO Nov 4, 2019 PLCO-539
Inflammatory potential of diet and risk of ovarian cancer by menopausal status in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial Zhuyue Li West China Hospital PLCO Nov 4, 2019 PLCO-536
Dietary Inflammatory Index and risk of differentiated thyroid cancer in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial Li Chen Department of the Endocrine and Breast Surgery, The First Affiliated hospital of Chongqing Medical university PLCO Nov 4, 2019 PLCO-543
Integrative analysis to predict lung cancer patient outcome using NLST dataset Guanghua Xiao UT Southwestern Medical Center NLST Nov 4, 2019 NLST-562
Chest CT image registration Yufa Xia Shenzhen institutes of advanced technology, Chinese Academy of Sciences NLST Nov 4, 2019 NLST-578
Predicting lung cancer recurrence with machine learning Flavio Calmon Harvard University NLST Nov 4, 2019 NLST-567
Individual lung cancer survival estimation based on radiomics analysis Yujiao Wu University of Technology Sydney NLST Oct 31, 2019 NLST-596