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Dmitry B Goldgof

Showing results (11-20 of 26) with videos related to

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IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|October 7, 2004
Recognizing plankton images from the shadow image particle profiling evaluation recorderTong Luo, Kurt Kramer, Dmitry B Goldgof, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 30, 2018
Predicting malignant nodules by fusing deep features with classical radiomics featuresRahul Paul, Samuel H Hawkins, Matthew B Schabath, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Lung Nodule Sizes Are Encoded When Scaling CT Image for CNN'sDmitry Cherezov, Rahul Paul, Nikolai Fetisov, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative FeaturesRahul Paul, Matthew Schabath, Yoganand Balagurunathan, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Deep Feature Stability Analysis Using CT Images of a Physical Phantom Across Scanner Manufacturers, Cartridges, Pixel Sizes, and Slice ThicknessRahul Paul, Mohammed Shafiq-Ul Hassan, Eduardo G Moros, et al.
Tomography (Ann Arbor, Mich.)|January 10, 2017
Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival Among Patients with Lung AdenocarcinomaRahul Paul, Samuel H Hawkins, Yoganand Balagurunathan, et al.
Cancer Medicine|December 4, 2018
Delta radiomic features improve prediction for lung cancer incidence: A nested case-control analysis of the National Lung Screening TrialDmitry Cherezov, Samuel H Hawkins, Dmitry B Goldgof, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 18, 2015
Heterogeneity in intratumoral regions with rapid gadolinium washout correlates with estrogen receptor status and nodal metastasisBaishali Chaudhury, Mu Zhou, Dmitry B Goldgof, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 20, 2012
A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimenEmmanuel Rios Velazquez, Hugo J W L Aerts, Yuhua Gu, et al.
Translational Oncology|April 29, 2014
Reproducibility and Prognosis of Quantitative Features Extracted from CT ImagesYoganand Balagurunathan, Yuhua Gu, Hua Wang, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

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Pageof 3
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|October 7, 2004
Recognizing plankton images from the shadow image particle profiling evaluation recorderTong Luo, Kurt Kramer, Dmitry B Goldgof, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 30, 2018
Predicting malignant nodules by fusing deep features with classical radiomics featuresRahul Paul, Samuel H Hawkins, Matthew B Schabath, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Lung Nodule Sizes Are Encoded When Scaling CT Image for CNN'sDmitry Cherezov, Rahul Paul, Nikolai Fetisov, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative FeaturesRahul Paul, Matthew Schabath, Yoganand Balagurunathan, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Deep Feature Stability Analysis Using CT Images of a Physical Phantom Across Scanner Manufacturers, Cartridges, Pixel Sizes, and Slice ThicknessRahul Paul, Mohammed Shafiq-Ul Hassan, Eduardo G Moros, et al.
Tomography (Ann Arbor, Mich.)|January 10, 2017
Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival Among Patients with Lung AdenocarcinomaRahul Paul, Samuel H Hawkins, Yoganand Balagurunathan, et al.
Cancer Medicine|December 4, 2018
Delta radiomic features improve prediction for lung cancer incidence: A nested case-control analysis of the National Lung Screening TrialDmitry Cherezov, Samuel H Hawkins, Dmitry B Goldgof, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 18, 2015
Heterogeneity in intratumoral regions with rapid gadolinium washout correlates with estrogen receptor status and nodal metastasisBaishali Chaudhury, Mu Zhou, Dmitry B Goldgof, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 20, 2012
A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimenEmmanuel Rios Velazquez, Hugo J W L Aerts, Yuhua Gu, et al.
Translational Oncology|April 29, 2014
Reproducibility and Prognosis of Quantitative Features Extracted from CT ImagesYoganand Balagurunathan, Yuhua Gu, Hua Wang, et al.
Pageof 3