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Kenny Cha

Showing results (11-20 of 19) with videos related to

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AJR. American Journal of Roentgenology|July 24, 2015
Treatment Response Assessment for Bladder Cancer on CT Based on Computerized Volume Analysis, World Health Organization Criteria, and RECISTLubomir Hadjiiski, Alon Z Weizer, Ajjai Alva, et al.
Medical Physics|December 11, 2013
Urinary bladder segmentation in CT urography (CTU) using CLASSLubomir Hadjiiski, Heang-Ping Chan, Richard H Cohan, et al.
Medical Physics|December 5, 2014
Ureter tracking and segmentation in CT urography (CTU) using COMPASSLubomir Hadjiiski, David Zick, Heang-Ping Chan, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance imagesSamuel G Armato, Henkjan Huisman, Karen Drukker, 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|January 25, 2018
Semi-automated pulmonary nodule interval segmentation using the NLST dataYoganand Balagurunathan, Andrew Beers, Jayashree Kalpathy-Cramer, 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.
Medical Physics|December 24, 2022
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imagingLubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, et al.
JAMA Network Open|February 23, 2023
A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast TomosynthesisNicholas Konz, Mateusz Buda, Hanxue Gu, et al.
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Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
AJR. American Journal of Roentgenology|July 24, 2015
Treatment Response Assessment for Bladder Cancer on CT Based on Computerized Volume Analysis, World Health Organization Criteria, and RECISTLubomir Hadjiiski, Alon Z Weizer, Ajjai Alva, et al.
Medical Physics|December 11, 2013
Urinary bladder segmentation in CT urography (CTU) using CLASSLubomir Hadjiiski, Heang-Ping Chan, Richard H Cohan, et al.
Medical Physics|December 5, 2014
Ureter tracking and segmentation in CT urography (CTU) using COMPASSLubomir Hadjiiski, David Zick, Heang-Ping Chan, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance imagesSamuel G Armato, Henkjan Huisman, Karen Drukker, 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|January 25, 2018
Semi-automated pulmonary nodule interval segmentation using the NLST dataYoganand Balagurunathan, Andrew Beers, Jayashree Kalpathy-Cramer, 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.
Medical Physics|December 24, 2022
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imagingLubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, et al.
JAMA Network Open|February 23, 2023
A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast TomosynthesisNicholas Konz, Mateusz Buda, Hanxue Gu, et al.
Pageof 2