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

Michiel Kallenberg

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Physics in Medicine and Biology|November 13, 2008
Computer-aided detection of masses in full-field digital mammography using screen-film mammograms for trainingMichiel Kallenberg, Nico Karssemeijer
Medical Physics|February 11, 2014
Use of volumetric features for temporal comparison of mass lesions in full field digital mammogramsJelena Bozek, Michiel Kallenberg, Mislav Grgic, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Segmentation of the pectoral muscle in breast MRI using atlas-based approachesAlbert Gubern-Mérida, Michiel Kallenberg, Robert Martí, et al.
IEEE Journal of Biomedical and Health Informatics|January 7, 2015
Breast segmentation and density estimation in breast MRI: a fully automatic frameworkAlbert Gubern-Mérida, Michiel Kallenberg, Ritse M Mann, et al.
Plos One|January 28, 2014
Volumetric breast density estimation from full-field digital mammograms: a validation studyAlbert Gubern-Mérida, Michiel Kallenberg, Bram Platel, et al.
Breast Cancer Research : BCR|May 4, 2018
The combined effect of mammographic texture and density on breast cancer risk: a cohort studyJohanna O P Wanders, Carla H van Gils, Nico Karssemeijer, et al.
IEEE Transactions on Medical Imaging|February 26, 2016
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk ScoringMichiel Kallenberg, Kersten Petersen, Mads Nielsen, et al.
Cancer Epidemiology|May 31, 2017
Risk stratification of women with false-positive test results in mammography screening based on mammographic morphology and density: A case control studyRikke Rass Winkel, My von Euler-Chelpin, Elsebeth Lynge, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Physics in Medicine and Biology|November 13, 2008
Computer-aided detection of masses in full-field digital mammography using screen-film mammograms for trainingMichiel Kallenberg, Nico Karssemeijer
Medical Physics|February 11, 2014
Use of volumetric features for temporal comparison of mass lesions in full field digital mammogramsJelena Bozek, Michiel Kallenberg, Mislav Grgic, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Segmentation of the pectoral muscle in breast MRI using atlas-based approachesAlbert Gubern-Mérida, Michiel Kallenberg, Robert Martí, et al.
IEEE Journal of Biomedical and Health Informatics|January 7, 2015
Breast segmentation and density estimation in breast MRI: a fully automatic frameworkAlbert Gubern-Mérida, Michiel Kallenberg, Ritse M Mann, et al.
Plos One|January 28, 2014
Volumetric breast density estimation from full-field digital mammograms: a validation studyAlbert Gubern-Mérida, Michiel Kallenberg, Bram Platel, et al.
Breast Cancer Research : BCR|May 4, 2018
The combined effect of mammographic texture and density on breast cancer risk: a cohort studyJohanna O P Wanders, Carla H van Gils, Nico Karssemeijer, et al.
IEEE Transactions on Medical Imaging|February 26, 2016
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk ScoringMichiel Kallenberg, Kersten Petersen, Mads Nielsen, et al.
Cancer Epidemiology|May 31, 2017
Risk stratification of women with false-positive test results in mammography screening based on mammographic morphology and density: A case control studyRikke Rass Winkel, My von Euler-Chelpin, Elsebeth Lynge, et al.
Pageof 1