Legal and ethical consideration in artificial intelligence in healthcare: who takes responsibility? N Naik, BM Hameed, DK Shetty, D Swain, M Shah, R Paul, K Aggarwal, ... Frontiers in surgery 9, 266, 2022 | 316 | 2022 |
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 | 295 | 2020 |
Deep feature transfer learning in combination with traditional features predicts survival among patients with lung adenocarcinoma R Paul, SH Hawkins, Y Balagurunathan, M Schabath, RJ Gillies, LO Hall, ... Tomography 2 (4), 388-395, 2016 | 190 | 2016 |
Predicting malignant nodules by fusing deep features with classical radiomics features R Paul, SH Hawkins, MB Schabath, RJ Gillies, LO Hall, DB Goldgof Journal of Medical Imaging 5 (1), 011021-011021, 2018 | 106 | 2018 |
The role of data science in healthcare advancements: applications, benefits, and future prospects SVG Subrahmanya, DK Shetty, V Patil, BMZ Hameed, R Paul, K Smriti, ... Irish Journal of Medical Science (1971-) 191 (4), 1473-1483, 2022 | 105 | 2022 |
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 | 87 | 2016 |
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 | 53 | 2018 |
Artificial intelligence and its impact on urological diseases and management: a comprehensive review of the literature BMZ Hameed, AVL S. Dhavileswarapu, SZ Raza, H Karimi, HS Khanuja, ... Journal of Clinical Medicine 10 (9), 1864, 2021 | 50 | 2021 |
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 | 47 | 2020 |
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 | 35 | 2019 |
Discovery of a generalization gap of convolutional neural networks on COVID-19 X-rays classification KB Ahmed, GM Goldgof, R Paul, DB Goldgof, LO Hall Ieee Access 9, 72970-72979, 2021 | 31 | 2021 |
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), 192-200, 2019 | 31 | 2019 |
Acute-on-chronic liver failure mortality prediction using an artificial neural network B Musunuri, S Shetty, DK Shetty, MK Vanahalli, A Pradhan, N Naik, ... Engineered Science 15, 187-196, 2021 | 30 | 2021 |
Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future R Paul, M Schabath, R Gillies, L Hall, D Goldgof Computers in biology and medicine 122, 103882, 2020 | 29 | 2020 |
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 | 27 | 2019 |
Classifying cooking object's state using a tuned vgg convolutional neural network R Paul arXiv preprint arXiv:1805.09391, 2018 | 25 | 2018 |
Age assessment through root lengths of mandibular second and third permanent molars using machine learning and Artificial Neural Networks V Patil, J Saxena, R Vineetha, R Paul, DK Shetty, S Sharma, K Smriti, ... Journal of Imaging 9 (2), 33, 2023 | 22 | 2023 |
Application of artificial intelligence-based classifiers to predict the outcome measures and stone-free status following percutaneous nephrolithotomy for staghorn calculi … BMZ Hameed, M Shah, N Naik, H Singh Khanuja, R Paul, BK Somani Journal of Endourology 35 (9), 1307-1313, 2021 | 21 | 2021 |
Legal and ethical consideration in artificial intelligence in healthcare: Who takes responsibility?. Frontiers in Surgery 9 N Naik, BMZ Hameed, DK Shetty, D Swain, M Shah, R Paul, K Aggarwal, ... | 20 | 2022 |
Engineering and clinical use of artificial intelligence (AI) with machine learning and data science advancements: Radiology leading the way for future BMZ Hameed, G Prerepa, V Patil, P Shekhar, S Zahid Raza, H Karimi, ... Therapeutic Advances in Urology 13, 17562872211044880, 2021 | 17 | 2021 |