Samuel Hawkins - Concepedia

Author

Samuel Hawkins

University of South Florida

Also Known As

S Hawkins, Samuel H. Hawkins, Samuel Hawkins

Publications

975

Citations

H-Index

Concepts

All Affiliations

University of South Florida Moffitt Cancer Center Tianjin Medical University Cancer Institute and Hospital

About

Samuel Hawkins is an author at University of South Florida specializing in radiology, medical image computing, and lung cancer.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	791
2	Health Sciences	4	4	652
3	Medicine	2	2	175
4	Natural Sciences	1	1	11
5	Public Health	1	1	47

Samuel Hawkins

Publications

933

Citations

H-Index

Page 1

	Year	Citations
Predicting Malignant Nodules from Screening CT Scans Samuel Hawkins, Hua Wang, Ying Liu, Journal of Thoracic Oncology EngineeringMedical ImagingMultiple Pulmonary NoduleCt ScansComputer-aided Diagnosis	2016	294
Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival among Patients with Lung Adenocarcinoma Rahul Paul, Samuel Hawkins, Yoganand Balagurunathan, Tomography Convolutional Neural NetworkEngineeringMachine LearningLung AdenocarcinomaImage Classification	2016	175
Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features Samuel Hawkins, John N. Korecki, Yoganand Balagurunathan, IEEE Access EngineeringMachine LearningFeature SelectionCt ScansDiagnostic Imaging	2014	128
Predicting malignant nodules by fusing deep features with classical radiomics features Rahul Paul, Samuel Hawkins, Matthew B. Schabath, Journal of Medical Imaging Convolutional Neural NetworkEngineeringMachine LearningMalignant NodulesDiagnostic Imaging	2018	110
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, Convolutional Neural NetworkEngineeringMachine LearningDiagnostic ImagingImage Classification	2016	73
Investigating multi-radiomic models for enhancing prediction power of cervical cancer treatment outcomes Baderaldeen Altazi, Daniel C. Fernandez, Geoffrey Zhang, Physica Medica Adaptive RadiotherapyCervical Cancer ManagementCervical CancerCervical HealthRadiation Therapy	2018	47
Prediction of pathological nodal involvement by <scp>CT</scp>‐based Radiomic features of the primary tumor in patients with clinically node‐negative peripheral lung adenocarcinomas Ying Liu, Jongphil Kim, Yoganand Balagurunathan, Medical Physics	2018	42
Delta radiomic features improve prediction for lung cancer incidence: A nested case–control analysis of the National Lung Screening Trial Dmitry Cherezov, Samuel Hawkins, Dmitry B. Goldgof, Cancer Medicine	2018	34
Identification of sarcomatoid differentiation in renal cell carcinoma by machine learning on multiparametric MRI Samuel Hawkins, Olya Stringfield, Jasreman Dhillon, Scientific Reports	2021	19
A Robust Approach for Automated Lung Segmentation in Thoracic CT Hailing Zhou, Dmitry B. Goldgof, Samuel Hawkins, Computed TomographyEngineeringDiagnostic ImagingImage AnalysisPattern Recognition	2015	11

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