Harvard Catalyst Profiles

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Rahul Paul, Ph.D.

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Biography
University of South Florida, TampaPhD2020Computer Science
Indian Institute of Technology (ISM) Dhanbad, IndiaMasters2015Computer Science
2020
Travel Grant
2013 - 2015
TEQIP Scholarship

Overview

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Ahmed KB, Goldgof GM, Paul R, Goldgof DB, Hall LO. Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification. IEEE Access. 2021; 9:72970-72979. PMID: 34178559.
    Citations: 4     
  2. Paul R, Schabath M, Gillies R, Hall L, Goldgof D. Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. Comput Biol Med. 2020 07; 122:103882. PMID: 32658721.
    Citations: 3     Fields:    Translation:Humans
  3. Paul R, Shafiq-Ul Hassan M, Moros EG, Gillies RJ, Hall LO, Goldgof DB. Deep Feature Stability Analysis Using CT Images of a Physical Phantom Across Scanner Manufacturers, Cartridges, Pixel Sizes, and Slice Thickness. Tomography. 2020 06; 6(2):250-260. PMID: 32548303.
    Citations: 4     Fields:    Translation:Humans
  4. Cherezov D, Paul R, Fetisov N, Gillies RJ, Schabath MB, Goldgof DB, Hall LO. Lung Nodule Sizes Are Encoded When Scaling CT Image for CNN's. Tomography. 2020 06; 6(2):209-215. PMID: 32548298.
    Citations: 2     Fields:    Translation:HumansAnimals
  5. Paul R, Schabath MB, Gillies R, Hall LO, Goldgof DB. Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data. J Med Imaging (Bellingham). 2020 Mar; 7(2):024502. PMID: 32280729.
    Citations: 1     
  6. Paul R, Schabath M, Balagurunathan Y, Liu Y, Li Q, Gillies R, Hall LO, Goldgof DB. Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features. Tomography. 2019 03; 5(1):192-200. PMID: 30854457.
    Citations: 7     Fields:    Translation:Humans
  7. Paul R, Hall L, Goldgof D, Schabath M, Gillies R. Predicting Nodule Malignancy using a CNN Ensemble Approach. Proc Int Jt Conf Neural Netw. 2018 Jul; 2018. PMID: 30443438.
    Citations: 9     
  8. Paul R, Liu Y, Li Q, Hall L, Goldgof D, Balagurunathan Y, Schabath M, Gillies R. Representation of Deep Features using Radiologist defined Semantic Features. Proc Int Jt Conf Neural Netw. 2018 Jul; 2018. PMID: 30443437.
    Citations: 1     
  9. Paul R, Hawkins SH, Schabath MB, Gillies RJ, Hall LO, Goldgof DB. Predicting malignant nodules by fusing deep features with classical radiomics features. J Med Imaging (Bellingham). 2018 Jan; 5(1):011021. PMID: 29594181.
    Citations: 19     
  10. Paul R, Hawkins SH, Balagurunathan Y, Schabath MB, Gillies RJ, Hall LO, Goldgof DB. Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival Among Patients with Lung Adenocarcinoma. Tomography. 2016 Dec; 2(4):388-395. PMID: 28066809.
    Citations: 42     Fields:    
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.