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Johanna Uthoff

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

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Translational Lung Cancer Research|February 4, 2020
Differentiation of non-small cell lung cancer and histoplasmosis pulmonary nodules: insights from radiomics model performance compared with clinician observersJohanna Uthoff, Prashant Nagpal, Rolando Sanchez, et al.
European Radiology|April 3, 2019
Post-imaging pulmonary nodule mathematical prediction models: are they clinically relevant?Johanna Uthoff, Nicholas Koehn, Jared Larson, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 13, 2016
Improved pulmonary nodule classification utilizing quantitative lung parenchyma featuresSamantha K N Dilger, Johanna Uthoff, Alexandra Judisch, et al.
European Heart Journal. Cardiovascular Imaging|January 31, 2020
A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosisAndrew J Swift, Haiping Lu, Johanna Uthoff, et al.
Scientific Reports|March 21, 2020
Longitudinal phenotype development in a minipig model of neurofibromatosis type 1Johanna Uthoff, Jared Larson, Takashi S Sato, et al.
Medical Physics|May 16, 2019
Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CTJohanna Uthoff, Matthew J Stephens, John D Newell, et al.
Tomography (Ann Arbor, Mich.)|February 3, 2017
Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging FeaturesJayashree Kalpathy-Cramer, Artem Mamomov, Binsheng Zhao, et al.
European Heart Journal. Digital Health|January 30, 2023
Machine learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertensionSamer Alabed, Johanna Uthoff, Shuo Zhou, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|April 7, 2022
Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurementsFaisal Alandejani, Samer Alabed, Pankaj Garg, et al.
JCI Insight|June 22, 2018
A porcine model of neurofibromatosis type 1 that mimics the human diseaseKatherine A White, Vicki J Swier, Jacob T Cain, et al.
Pageof 1

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

Sort By:
Pageof 1
Translational Lung Cancer Research|February 4, 2020
Differentiation of non-small cell lung cancer and histoplasmosis pulmonary nodules: insights from radiomics model performance compared with clinician observersJohanna Uthoff, Prashant Nagpal, Rolando Sanchez, et al.
European Radiology|April 3, 2019
Post-imaging pulmonary nodule mathematical prediction models: are they clinically relevant?Johanna Uthoff, Nicholas Koehn, Jared Larson, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 13, 2016
Improved pulmonary nodule classification utilizing quantitative lung parenchyma featuresSamantha K N Dilger, Johanna Uthoff, Alexandra Judisch, et al.
European Heart Journal. Cardiovascular Imaging|January 31, 2020
A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosisAndrew J Swift, Haiping Lu, Johanna Uthoff, et al.
Scientific Reports|March 21, 2020
Longitudinal phenotype development in a minipig model of neurofibromatosis type 1Johanna Uthoff, Jared Larson, Takashi S Sato, et al.
Medical Physics|May 16, 2019
Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CTJohanna Uthoff, Matthew J Stephens, John D Newell, et al.
Tomography (Ann Arbor, Mich.)|February 3, 2017
Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging FeaturesJayashree Kalpathy-Cramer, Artem Mamomov, Binsheng Zhao, et al.
European Heart Journal. Digital Health|January 30, 2023
Machine learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertensionSamer Alabed, Johanna Uthoff, Shuo Zhou, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|April 7, 2022
Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurementsFaisal Alandejani, Samer Alabed, Pankaj Garg, et al.
JCI Insight|June 22, 2018
A porcine model of neurofibromatosis type 1 that mimics the human diseaseKatherine A White, Vicki J Swier, Jacob T Cain, et al.
Pageof 1