Rahul Paul
Rahul Paul
Massachusetts General Hospital, Harvard Medical School
Vahvistettu sähköpostiosoite verkkotunnuksessa mail.usf.edu
Nimike
Viittaukset
Viittaukset
Vuosi
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
1322020
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
1112016
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
592018
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
502016
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
312018
A study on validating non-linear dimensionality reduction using persistent homology
R Paul, SK Chalup
Pattern Recognition Letters 100, 160-166, 2017
162017
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
152019
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
122020
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
112019
Material shrinkage modeling and form error prediction in additive manufacturing processes
R Paul, S Anand
Proceedings of the 41st NAMRC, 2013
112013
Classifying cooking object's state using a tuned VGG convolutional neural network
R Paul
arXiv preprint arXiv:1805.09391, 2018
92018
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
82020
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
82019
A new additive manufacturing file format using Bezier patches
ARS Santosh, R Paul, S Anand
Proceedings of the 41st NAMRC, 10-14, 2013
72013
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), 209-215, 2020
62020
Finding covid-19 from chest X-rays using deep learning on a small dataset. arXiv 2020
LO Hall, R Paul, DB Goldgof, GM Goldgof
arXiv preprint arXiv:2004.02060, 0
6
Artificial intelligence and its impact on urological diseases and management: A comprehensive review of the literature
BM Hameed, S Dhavileswarapu, VL Aiswarya, SZ Raza, H Karimi, ...
Journal of Clinical Medicine 10 (9), 1864, 2021
52021
2018 International Joint Conference on Neural Networks (IJCNN)
R Paul, L Hall, D Goldgof, M Schabath, R Gillies
IEEE,, 2018
52018
Make your bone great again: A study on osteoporosis classification
R Paul, S Alahamri, S Malla, GJ Quadri
arXiv preprint arXiv:1707.05385, 2017
52017
Deep feature transfer learning in combination with traditional features predicts survival among patients with lung adenocarcinoma. Tomography. 2016; 2: 388–95
R Paul, SH Hawkins, Y Balagurunathan, MB Schabath, RJ Gillies, LO Hall
5
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Artikkelit 1–20