Samuel Hawkins

Predicting Malignant Nodules from Screening CT Scans

Samuel Hawkins, Hua Wang, Ying Liu et al. · Journal of Thoracic Oncology · 2016 · 294 citations · Full text

Engineering, Medical Imaging, Multiple Pulmonary Nodule +7

Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival among Patients with Lung Adenocarcinoma

Rahul Paul, Samuel Hawkins, Yoganand Balagurunathan et al. · Tomography · 2016 · 175 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features

Samuel Hawkins, John N. Korecki, Yoganand Balagurunathan et al. · IEEE Access · 2014 · 128 citations · Full text

Engineering, Machine Learning, Feature Selection +21

Predicting malignant nodules by fusing deep features with classical radiomics features

Rahul Paul, Samuel Hawkins, Matthew B. Schabath et al. · Journal of Medical Imaging · 2018 · 110 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT

Rahul Paul, Samuel Hawkins, Lawrence Hall et al. · 2016 · 73 citations

Convolutional Neural Network, Engineering, Machine Learning +22