Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Francesco Stingo

Showing results (1-10 of 25) with videos related to

Pageof 3
Sort By:
Biometrics|May 9, 2017
A Bayesian screening approach for hepatocellular carcinoma using multiple longitudinal biomarkersNabihah Tayob, Francesco Stingo, Kim-Anh Do, et al.
International Journal of Radiation Oncology, Biology, Physics|July 20, 2017
Treatment Planning System Calculation Errors Are Present in Most Imaging and Radiation Oncology Core-Houston Phantom FailuresJames R Kerns, Francesco Stingo, David S Followill, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 26, 2015
Preliminary investigation into sources of uncertainty in quantitative imaging featuresXenia Fave, Molly Cook, Amy Frederick, et al.
Medical Physics|December 11, 2013
High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography imagesLuke A Hunter, Shane Krafft, Francesco Stingo, et al.
Medical Physics|February 8, 2019
Erratum: "The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis" [Med. Phys. Vol. 45(11):5317-5324 (2018)]Shane P Krafft, Arvind Rao, Francesco Stingo, et al.
Medical Physics|August 23, 2018
The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitisShane P Krafft, Arvind Rao, Francesco Stingo, et al.
Scientific Reports|July 22, 2017
A Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical TrialsJoshua S Niedzielski, Jinzhong Yang, Francesco Stingo, et al.
International Journal of Radiation Oncology, Biology, Physics|September 30, 2016
(18)F-Fluorodeoxyglucose Positron Emission Tomography Can Quantify and Predict Esophageal Injury During Radiation TherapyJoshua S Niedzielski, Jinzhong Yang, Zhongxing Liao, et al.
Cancer|May 17, 2016
Outcomes of patients with chronic lymphocytic leukemia treated with first-line idelalisib plus rituximab after cessation of treatment for toxicityPhilip A Thompson, Francesco Stingo, Michael J Keating, et al.
International Journal of Radiation Oncology, Biology, Physics|December 18, 2015
Objectively Quantifying Radiation Esophagitis With Novel Computed Tomography-Based MetricsJoshua S Niedzielski, Jinzhong Yang, Francesco Stingo, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Biometrics|May 9, 2017
A Bayesian screening approach for hepatocellular carcinoma using multiple longitudinal biomarkersNabihah Tayob, Francesco Stingo, Kim-Anh Do, et al.
International Journal of Radiation Oncology, Biology, Physics|July 20, 2017
Treatment Planning System Calculation Errors Are Present in Most Imaging and Radiation Oncology Core-Houston Phantom FailuresJames R Kerns, Francesco Stingo, David S Followill, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 26, 2015
Preliminary investigation into sources of uncertainty in quantitative imaging featuresXenia Fave, Molly Cook, Amy Frederick, et al.
Medical Physics|December 11, 2013
High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography imagesLuke A Hunter, Shane Krafft, Francesco Stingo, et al.
Medical Physics|February 8, 2019
Erratum: "The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis" [Med. Phys. Vol. 45(11):5317-5324 (2018)]Shane P Krafft, Arvind Rao, Francesco Stingo, et al.
Medical Physics|August 23, 2018
The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitisShane P Krafft, Arvind Rao, Francesco Stingo, et al.
Scientific Reports|July 22, 2017
A Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical TrialsJoshua S Niedzielski, Jinzhong Yang, Francesco Stingo, et al.
International Journal of Radiation Oncology, Biology, Physics|September 30, 2016
(18)F-Fluorodeoxyglucose Positron Emission Tomography Can Quantify and Predict Esophageal Injury During Radiation TherapyJoshua S Niedzielski, Jinzhong Yang, Zhongxing Liao, et al.
Cancer|May 17, 2016
Outcomes of patients with chronic lymphocytic leukemia treated with first-line idelalisib plus rituximab after cessation of treatment for toxicityPhilip A Thompson, Francesco Stingo, Michael J Keating, et al.
International Journal of Radiation Oncology, Biology, Physics|December 18, 2015
Objectively Quantifying Radiation Esophagitis With Novel Computed Tomography-Based MetricsJoshua S Niedzielski, Jinzhong Yang, Francesco Stingo, et al.
Pageof 3