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

Sophia Zackrisson

Showing results (121-130 of 140) with videos related to

Pageof 14
Sort By:
IEEE Transactions on Medical Imaging|June 9, 2026
Lesion detectability and masking disparity assessment in breast tomosynthesis across diverse populations using in-silico imaging trialsBruno Barufaldi, Rodrigo B Vimieiro, Vincent Dong, et al.
European Radiology|December 13, 2017
One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more?Alejandro Rodriguez-Ruiz, Albert Gubern-Merida, Mechli Imhof-Tas, et al.
BMJ Open|January 4, 2022
Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detectionM Luke Marinovich, Elizabeth Wylie, William Lotter, et al.
European Journal of Radiology|December 11, 2020
Development and content validity evaluation of a candidate instrument to assess image quality in digital mammography: A mixed-method studyJoana Boita, Anetta Bolejko, Sophia Zackrisson, et al.
European Radiology|January 21, 2021
How does image quality affect radiologists' perceived ability for image interpretation and lesion detection in digital mammography?Joana Boita, Ruben E van Engen, Alistair Mackenzie, et al.
European Journal of Radiology|April 5, 2021
Validation of a candidate instrument to assess image quality in digital mammography using ROC analysisJoana Boita, Ruben E van Engen, Alistair Mackenzie, et al.
Pancreatology : Official Journal of the International Association of Pancreatology (IAP) ... [Et Al.]|September 5, 2016
Significant inter-observer variation in the diagnosis of extrapancreatic necrosis and type of pancreatic collections in acute pancreatitis - An international multicenter evaluation of the revised Atlanta classificationHanna Sternby, Robert C Verdonk, Guadalupe Aguilar, et al.
Scientific Reports|September 15, 2025
Characterization of tumour-like inclusions in breast-mimicking phantoms using ultrasound optical tomographyAkvilė Zabiliūtė-Karaliūnė, Eglė Bukartė, Maria Ruchkina, et al.
Journal of the National Cancer Institute|March 6, 2019
Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 RadiologistsAlejandro Rodriguez-Ruiz, Kristina Lång, Albert Gubern-Merida, et al.
European Radiology|April 18, 2019
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility studyAlejandro Rodriguez-Ruiz, Kristina Lång, Albert Gubern-Merida, et al.
Pageof 14

Showing results (121-130 of 140) with videos related to

Sort By:
Pageof 14
IEEE Transactions on Medical Imaging|June 9, 2026
Lesion detectability and masking disparity assessment in breast tomosynthesis across diverse populations using in-silico imaging trialsBruno Barufaldi, Rodrigo B Vimieiro, Vincent Dong, et al.
European Radiology|December 13, 2017
One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more?Alejandro Rodriguez-Ruiz, Albert Gubern-Merida, Mechli Imhof-Tas, et al.
BMJ Open|January 4, 2022
Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detectionM Luke Marinovich, Elizabeth Wylie, William Lotter, et al.
European Journal of Radiology|December 11, 2020
Development and content validity evaluation of a candidate instrument to assess image quality in digital mammography: A mixed-method studyJoana Boita, Anetta Bolejko, Sophia Zackrisson, et al.
European Radiology|January 21, 2021
How does image quality affect radiologists' perceived ability for image interpretation and lesion detection in digital mammography?Joana Boita, Ruben E van Engen, Alistair Mackenzie, et al.
European Journal of Radiology|April 5, 2021
Validation of a candidate instrument to assess image quality in digital mammography using ROC analysisJoana Boita, Ruben E van Engen, Alistair Mackenzie, et al.
Pancreatology : Official Journal of the International Association of Pancreatology (IAP) ... [Et Al.]|September 5, 2016
Significant inter-observer variation in the diagnosis of extrapancreatic necrosis and type of pancreatic collections in acute pancreatitis - An international multicenter evaluation of the revised Atlanta classificationHanna Sternby, Robert C Verdonk, Guadalupe Aguilar, et al.
Scientific Reports|September 15, 2025
Characterization of tumour-like inclusions in breast-mimicking phantoms using ultrasound optical tomographyAkvilė Zabiliūtė-Karaliūnė, Eglė Bukartė, Maria Ruchkina, et al.
Journal of the National Cancer Institute|March 6, 2019
Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 RadiologistsAlejandro Rodriguez-Ruiz, Kristina Lång, Albert Gubern-Merida, et al.
European Radiology|April 18, 2019
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility studyAlejandro Rodriguez-Ruiz, Kristina Lång, Albert Gubern-Merida, et al.
Pageof 14