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Lawrence O Hall

Showing results (31-40 of 39) with videos related to

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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.
Radiology. Artificial Intelligence|May 3, 2021
<sup>18</sup>F-FDG PET/CT Habitat Radiomics Predicts Outcome of Patients with Cervical Cancer Treated with ChemoradiotherapyWei Mu, Ying Liang, Lawrence O Hall, 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.
Translational Oncology|April 29, 2014
Reproducibility and Prognosis of Quantitative Features Extracted from CT ImagesYoganand Balagurunathan, Yuhua Gu, Hua Wang, et al.
Neurotoxicology and Teratology|February 25, 2024
A novel deep learning-based method for automatic stereology of microglia cells from low magnification imagesHunter Morera, Palak Dave, Yaroslav Kolinko, et al.
Journal of Digital Imaging|July 4, 2014
Test-retest reproducibility analysis of lung CT image featuresYoganand Balagurunathan, Virendra Kumar, Yuhua Gu, et al.
Pattern Recognition|March 6, 2013
Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation ApproachYuhua Gu, Virendra Kumar, Lawrence O Hall, et al.
Magnetic Resonance Imaging|August 18, 2012
Radiomics: the process and the challengesVirendra Kumar, Yuhua Gu, Satrajit Basu, et al.
Pageof 4

Showing results (31-40 of 39) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 39 results.
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.
Radiology. Artificial Intelligence|May 3, 2021
<sup>18</sup>F-FDG PET/CT Habitat Radiomics Predicts Outcome of Patients with Cervical Cancer Treated with ChemoradiotherapyWei Mu, Ying Liang, Lawrence O Hall, 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.
Translational Oncology|April 29, 2014
Reproducibility and Prognosis of Quantitative Features Extracted from CT ImagesYoganand Balagurunathan, Yuhua Gu, Hua Wang, et al.
Neurotoxicology and Teratology|February 25, 2024
A novel deep learning-based method for automatic stereology of microglia cells from low magnification imagesHunter Morera, Palak Dave, Yaroslav Kolinko, et al.
Journal of Digital Imaging|July 4, 2014
Test-retest reproducibility analysis of lung CT image featuresYoganand Balagurunathan, Virendra Kumar, Yuhua Gu, et al.
Pattern Recognition|March 6, 2013
Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation ApproachYuhua Gu, Virendra Kumar, Lawrence O Hall, et al.
Magnetic Resonance Imaging|August 18, 2012
Radiomics: the process and the challengesVirendra Kumar, Yuhua Gu, Satrajit Basu, et al.
Pageof 4