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Sandy Napel

Showing results (101-110 of 113) with videos related to

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Scientific Data|October 17, 2018
A radiogenomic dataset of non-small cell lung cancerShaimaa Bakr, Olivier Gevaert, Sebastian Echegaray, et al.
Journal of Imaging Informatics in Medicine|August 15, 2025
Demonstration of Interoperability Between MIDRC and N3C: A COVID-19 Severity Prediction Use CaseHeather M Whitney, Rachel Baccile, Hui Li, et al.
Science Translational Medicine|September 4, 2015
Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activitiesHaruka Itakura, Achal S Achrol, Lex A Mitchell, 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.
Medical Physics|June 13, 2018
Erratum: Semi-automated pulmonary nodule interval segmentation using the NLST dataYoganand Balagurunathan, Andrew Beers, Jayashree Kalpathy-Cramer, et al.
Neurosurgery|June 16, 2021
Machine-Learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter StudyMichael Zhang, Elizabeth Tong, Forrest Hamrick, et al.
Medical Physics|January 25, 2018
Semi-automated pulmonary nodule interval segmentation using the NLST dataYoganand Balagurunathan, Andrew Beers, Jayashree Kalpathy-Cramer, et al.
Neuro-Oncology Advances|May 12, 2021
MRI-based radiomics for prognosis of pediatric diffuse intrinsic pontine glioma: an international studyLydia T Tam, Kristen W Yeom, Jason N Wright, et al.
IEEE Transactions on Medical Imaging|July 15, 2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 ChallengeYoganand Balagurunathan, Andrew Beers, Michael Mcnitt-Gray, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?Olivier Bernard, Alain Lalande, Clement Zotti, et al.
Pageof 12

Showing results (101-110 of 113) with videos related to

Sort By:
Pageof 12
Scientific Data|October 17, 2018
A radiogenomic dataset of non-small cell lung cancerShaimaa Bakr, Olivier Gevaert, Sebastian Echegaray, et al.
Journal of Imaging Informatics in Medicine|August 15, 2025
Demonstration of Interoperability Between MIDRC and N3C: A COVID-19 Severity Prediction Use CaseHeather M Whitney, Rachel Baccile, Hui Li, et al.
Science Translational Medicine|September 4, 2015
Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activitiesHaruka Itakura, Achal S Achrol, Lex A Mitchell, 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.
Medical Physics|June 13, 2018
Erratum: Semi-automated pulmonary nodule interval segmentation using the NLST dataYoganand Balagurunathan, Andrew Beers, Jayashree Kalpathy-Cramer, et al.
Neurosurgery|June 16, 2021
Machine-Learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter StudyMichael Zhang, Elizabeth Tong, Forrest Hamrick, et al.
Medical Physics|January 25, 2018
Semi-automated pulmonary nodule interval segmentation using the NLST dataYoganand Balagurunathan, Andrew Beers, Jayashree Kalpathy-Cramer, et al.
Neuro-Oncology Advances|May 12, 2021
MRI-based radiomics for prognosis of pediatric diffuse intrinsic pontine glioma: an international studyLydia T Tam, Kristen W Yeom, Jason N Wright, et al.
IEEE Transactions on Medical Imaging|July 15, 2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 ChallengeYoganand Balagurunathan, Andrew Beers, Michael Mcnitt-Gray, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?Olivier Bernard, Alain Lalande, Clement Zotti, et al.
Pageof 12