Samuel H. Hawkins

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 5

Top Topics

Lung Cancer Patients

Survival Prediction

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Saeed S. Alahmari, Baderaldeen Altazi, Jisoo Hwang, Samuel H. Hawkins, Tawfiq Salem
A Comprehensive Review of Deep Learning-Based Methods for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 10 (2022)
Benjamin Geiger, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Robert A. Gatenby, Robert J. Gillies
Change descriptors for determining nodule malignancy in national lung screening trial CT screening images. Medical Imaging: Computer-Aided Diagnosis (2016)
Dmitry Cherezov, Samuel H. Hawkins, Dmitry B. Goldgof, Lawrence O. Hall, Yoganand Balagurunathan, Robert J. Gillies, Matthew B. Schabath
Improving malignancy prediction through feature selection informed by nodule size ranges in NLST. SMC (2016)
Rahul Paul, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies
Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT. SMC (2016)
Hailing Zhou, Dmitry B. Goldgof, Samuel H. Hawkins, Lei Wei, Ying Liu, Douglas C. Creighton, Robert J. Gillies, Lawrence O. Hall, Saeid Nahavandi
A Robust Approach for Automated Lung Segmentation in Thoracic CT. SMC (2015)
Samuel H. Hawkins, John N. Korecki, Yoganand Balagurunathan, Yuhua Gu, Virendra Kumar, Satrajit Basu, Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies
Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features. IEEE Access 2 (2014)