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Lawrence O Hall

Showing results (21-30 of 39) with videos related to

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Journal of Chemical Neuroanatomy|July 15, 2022
A disector-based framework for the automatic optical fractionatorPalak Dave, Dmitry Goldgof, Lawrence O Hall, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 29, 2016
Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group predictionMu Zhou, Baishali Chaudhury, Lawrence O Hall, et al.
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.
Artificial Intelligence in Medicine|August 11, 2004
Selection of patients for clinical trials: an interactive web-based systemEugene Fink, Princeton K Kokku, Savvas Nikiforou, 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.
Medical Physics|September 9, 2019
Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesionsIlke Tunali, Lawrence O Hall, Sandy Napel, 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.
Medrxiv : the Preprint Server for Health Sciences|May 1, 2026
Preoperative CT-Based Habitat Radiomics Classifiers Predict Recurrence in Non-Small Cell Lung CancerOya Altinok, Wai Lone J Ho, Lary Robinson, et al.
Pageof 4

Showing results (21-30 of 39) with videos related to

Sort By:
Pageof 4
Journal of Chemical Neuroanatomy|July 15, 2022
A disector-based framework for the automatic optical fractionatorPalak Dave, Dmitry Goldgof, Lawrence O Hall, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 29, 2016
Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group predictionMu Zhou, Baishali Chaudhury, Lawrence O Hall, et al.
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.
Artificial Intelligence in Medicine|August 11, 2004
Selection of patients for clinical trials: an interactive web-based systemEugene Fink, Princeton K Kokku, Savvas Nikiforou, 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.
Medical Physics|September 9, 2019
Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesionsIlke Tunali, Lawrence O Hall, Sandy Napel, 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.
Medrxiv : the Preprint Server for Health Sciences|May 1, 2026
Preoperative CT-Based Habitat Radiomics Classifiers Predict Recurrence in Non-Small Cell Lung CancerOya Altinok, Wai Lone J Ho, Lary Robinson, et al.
Pageof 4