| Deep feature transfer learning in combination with traditional features predicts survival among patients with lung adenocarcinoma R Paul, SH Hawkins, Y Balagurunathan, MB Schabath, RJ Gillies, LO Hall, ... Tomography 2 (4), 388, 2016 | 70 | 2016 |
| Predicting malignant nodules by fusing deep features with classical radiomics features R Paul, S Hawkins, MB Schabath, RJ Gillies, LO Hall, DB Goldgof Journal of Medical Imaging 5 (1), 011021, 2018 | 38 | 2018 |
| Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT R Paul, SH Hawkins, LO Hall, DB Goldgof, RJ Gillies 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 34 | 2016 |
| Finding covid-19 from chest x-rays using deep learning on a small dataset LO Hall, R Paul, DB Goldgof, GM Goldgof arXiv preprint arXiv:2004.02060, 2020 | 30 | 2020 |
| Predicting nodule malignancy using a CNN ensemble approach R Paul, L Hall, D Goldgof, M Schabath, R Gillies 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 19 | 2018 |
| A study on validating non-linear dimensionality reduction using persistent homology R Paul, SK Chalup Pattern Recognition Letters 100, 160-166, 2017 | 11 | 2017 |
| Convolutional neural networks for neonatal pain assessment G Zamzmi, R Paul, MS Salekin, D Goldgof, R Kasturi, T Ho, Y Sun IEEE Transactions on Biometrics, Behavior, and Identity Science 1 (3), 192-200, 2019 | 8 | 2019 |
| Explaining deep features using Radiologist-Defined semantic features and traditional quantitative features R Paul, M Schabath, Y Balagurunathan, Y Liu, Q Li, R Gillies, LO Hall, ... Tomography 5 (1), 192, 2019 | 8 | 2019 |
| Classifying cooking object's state using a tuned VGG convolutional neural network R Paul arXiv preprint arXiv:1805.09391, 2018 | 5 | 2018 |
| Pain assessment from facial expression: Neonatal convolutional neural network (N-CNN) G Zamzmi, R Paul, D Goldgof, R Kasturi, Y Sun 2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019 | 3 | 2019 |
| Stability of deep features across CT scanners and field of view using a physical phantom R Paul, M Shafiq-ul-Hassan, EG Moros, RJ Gillies, LO Hall, DB Goldgof Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105753P, 2018 | 3 | 2018 |
| Make your bone great again: A study on osteoporosis classification R Paul, S Alahamri, S Malla, GJ Quadri arXiv preprint arXiv:1707.05385, 2017 | 3 | 2017 |
| Mitigating adversarial attacks on medical image understanding systems R Paul, M Schabath, R Gillies, L Hall, D Goldgof 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1517-1521, 2020 | 2 | 2020 |
| Behind the Mask: Understanding the Structural Forces That Make Social Graphs Vulnerable to Deanonymization. S Horawalavithana, JA Flores, J Skvoretz, A Iamnitchi IEEE Trans. Comput. Soc. Syst. 6 (6), 1343-1356, 2019 | 2 | 2019 |
| Deep feature stability analysis using CT images of a physical phantom across scanner manufacturers, cartridges, pixel sizes, and slice thickness R Paul, MS Hassan, EG Moros, RJ Gillies, LO Hall, DB Goldgof Tomography 6 (2), 250, 2020 | 1 | 2020 |
| Lung nodule sizes are encoded when scaling CT image for CNN's D Cherezov, R Paul, N Fetisov, RJ Gillies, MB Schabath, DB Goldgof, ... Tomography 6 (2), 209, 2020 | 1 | 2020 |
| Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data R Paul, MB Schabath, R Gillies, LO Hall, DB Goldgof Journal of Medical Imaging 7 (2), 024502, 2020 | 1 | 2020 |
| Towards deep radiomics: nodule malignancy prediction using CNNs on feature images R Paul, D Cherezov, MB Schabath, RJ Gillies, LO Hall, DB Goldgof Medical Imaging 2019: Computer-Aided Diagnosis 10950, 109503Z, 2019 | 1 | 2019 |
| Representation of Deep Features using Radiologist defined Semantic Features R Paul, Y Liu, Q Li, L Hall, D Goldgof, Y Balagurunathan, M Schabath, ... 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 1 | 2018 |
| Fuzzy Set Similarity for Feature Selection in Classification V Cross, M Zmuda, R Paul, L Hall 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2020 | | 2020 |
Dmitry GoldgofProfessor of Computer Science and Engineering, University of South Florida, Moffitt Cancer CenterVerified email at mail.usf.edu
