| Evaluation of Deep Learning techniques for mortality prediction and abnormality detection in screening chest imaging |
Bartosz Borucki |
Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw |
NLST |
Jan 3, 2020 |
NLST-625 |
| Systems Modeling of community-based Lung Cancer Screening Programs to Improve Quality |
Archana Nandakumar |
University of Washington |
NLST |
Jan 3, 2020 |
NLST-624 |
| Development and validation of AI-based lung nodule management and lung analysis software |
Hee Jun Park |
CORELINESOFT |
NLST |
Dec 26, 2019 |
NLST-623 |
| Development and evaluation of algorithms for the lung disease diagnostics/management systems |
Yoshiro Kitamura |
FUJIFILM corporation |
NLST |
Dec 26, 2019 |
NLST-622 |
| Integrative analysis to predict lung nodule classification |
Zhe Li |
Singlera Genomics Inc. |
NLST |
Dec 16, 2019 |
NLST-621 |
| Lung Cancer Screening - A non-invasive methodology for early diagnosis |
Hélder Oliveira |
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science |
NLST |
Dec 13, 2019 |
NLST-615 |
| Training Lung Cancer Classifiers with Ultra-high Resolution Whole Slide Histopathology Images. |
Sean Yu |
aetherAI |
NLST |
Dec 13, 2019 |
NLST-620 |
| Automated Assessment of Interstitial Lung Abnormalities |
Shikha Chaganti |
Siemens Healthineers |
NLST |
Dec 13, 2019 |
NLST-616 |
| Predicting Lung Cancer Treatment Using an End to End 3D Serial Imaging CNN Model |
Amy Li |
Princeton University |
NLST |
Dec 11, 2019 |
NLST-618 |
| Investigation of the dependencies between socio-demographic data and cancer images |
Miklos Arato |
Eötvös Loránd University |
NLST |
Dec 11, 2019 |
NLST-613 |
| Classification of Lung Cancer Cells using deep learning algorithms |
Chris Chatwin |
University of Sussex |
NLST |
Dec 6, 2019 |
NLST-614 |
| Selection of Eligible People for Lung Cancer Screening using Electronic Primary Care Data (SELECT) |
Aamir Khakwani |
University of Nottingham |
NLST |
Dec 5, 2019 |
NLST-611 |
| Lung Cancer Identification Through Artificial Neural Network |
Marco Domenico Santambrogio |
Politecnico di Milano |
NLST |
Dec 2, 2019 |
NLST-612 |
| Prediction of Lung cancer and mortality using machine learning and deep learning |
Thu Cao |
Columbia University Medical Center |
NLST |
Nov 26, 2019 |
NLST-609 |
| Evaluating the Impact of Preoperative Characteristics on Outcomes of Patients Undergoing Curative-intent Treatment in the NLST |
Chi-Fu Yang |
Stanford |
NLST |
Nov 25, 2019 |
NLST-607 |
| Deep learning models to predict lung cancer malignancy |
Yufeng Deng |
Infervision US Inc. |
NLST |
Nov 25, 2019 |
NLST-604 |
| Use of Radiomics and AI To Predict Malignancy in Indeterminate Lung Nodules |
Richard Lee |
The Royal Marsden Hospital |
NLST |
Nov 19, 2019 |
NLST-593 |
| Optimizing Lung Cancer Early Detection by LDCT via Computer Vision |
Kingshuk Das |
AnimanDx Inc |
NLST |
Nov 14, 2019 |
NLST-602 |
| Evaluation of Calcium scoring model on a Chest CT scans |
Ilyas Sirazitdinov |
Philips Innovation Labs RUS |
NLST |
Nov 14, 2019 |
NLST-603 |
| Validating automated algorithms for detection of lung pathology |
Atilla Kiraly |
Google |
NLST |
Nov 13, 2019 |
NLST-559 |
