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 |
Computer-Aided Diagnostic System for Lung Nodule Detection, Localization, Attribution, and Classification using Deep Learning |
Devon Bernard |
Hive Medical |
NLST |
Nov 13, 2019 |
NLST-601 |
Variability of Observer Interpretations and Lung-RADS Assignment |
Devon Bernard |
Hive Medical |
NLST |
Nov 13, 2019 |
NLST-600 |
Lung cancer CT screening efficacy beyond the NLST screening period |
Anton Schreuder |
Radboudumc |
NLST |
Nov 13, 2019 |
NLST-598 |
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 |
Minibatch Gradient Descent Method for Deep Survival Analysis |
James Sharpnack |
University of California-Davis |
NLST |
Nov 7, 2019 |
NLST-597 |
Extended Cancer Prediction from Lung CT Images |
Atilla Kiraly |
Google |
NLST |
Nov 1, 2019 |
NLST-594 |