Dr. Rahul Paul Profile

Dr. Rahul Paul

Postdoctoral Fellow

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Publications (5)

Proceedings Article | 15 February 2021 Presentation + Paper

Deep radiomics: deep learning on radiomics texture images

Rahul Paul, Sherzod Kariev, Dmitry Cherezov, Matthew Schabath, Robert Gillies, Lawrence Hall, Dmitry Goldgof

Proceedings Volume 11597, 1159705 (2021) https://doi.org/10.1117/12.2582102

KEYWORDS: Lung cancer, Wavelets, Tumors, Tumor growth modeling, Solids, Medical imaging, Lung, Image classification, Convolutional neural networks

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SPIE Journal Paper | 6 April 2020

Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data

Rahul Paul, Matthew Schabath, Robert Gillies, Lawrence Hall, Dmitry Goldgof

JMI, Vol. 7, Issue 02, 024502, (April 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.2.024502

KEYWORDS: Lung cancer, Lung, Convolutional neural networks, Cancer, Data modeling, Tumor growth modeling, Image segmentation, Tumors, Convolution, Statistical analysis

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Proceedings Article | 13 March 2019 Paper

Towards deep radiomics: nodule malignancy prediction using CNNs on feature images

Rahul Paul, Dmitry Cherezov, Matthew Schabath, Robert Gillies, Lawrence Hall, Dmitry Goldgof

Proceedings Volume 10950, 109503Z (2019) https://doi.org/10.1117/12.2512513

KEYWORDS: Lung cancer, Image classification, Image filtering, Cancer, Computed tomography, Convolution, Tumors, Lung, Control systems, Data modeling

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SPIE Journal Paper | 21 March 2018 Open Access

Predicting malignant nodules by fusing deep features with classical radiomics features

Rahul Paul, Samuel Hawkins, Matthew Schabath, Robert Gillies, Lawrence Hall, Dmitry Goldgof

JMI, Vol. 5, Issue 01, 011021, (March 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.011021

KEYWORDS: Lung cancer, Lung, Feature extraction, Cancer, RGB color model, Control systems, Computed tomography, Neural networks, Image classification, Cameras

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Proceedings Article | 27 February 2018 Paper

Stability of deep features across CT scanners and field of view using a physical phantom

Rahul Paul, Muhammad Shafiq-ul-Hassan, Eduardo Moros, Robert Gillies, Lawrence Hall, Dmitry Goldgof

Proceedings Volume 10575, 105753P (2018) https://doi.org/10.1117/12.2293164

KEYWORDS: Scanners, Computed tomography, Feature extraction, Convolutional neural networks, Image analysis, Tumors, Cancer, Image acquisition

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