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

J Brinker

Showing results (151-160 of 167) with videos related to

Pageof 17
Sort By:
Nature Medicine|April 26, 2022
Swarm learning for decentralized artificial intelligence in cancer histopathologyOliver Lester Saldanha, Philip Quirke, Nicholas P West, et al.
Communications Medicine|September 10, 2024
Prospective multicenter study using artificial intelligence to improve dermoscopic melanoma diagnosis in patient careLukas Heinlein, Roman C Maron, Achim Hekler, et al.
Journal of the American Academy of Dermatology|February 13, 2021
Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologistsTitus J Brinker, Max Schmitt, Eva I Krieghoff-Henning, et al.
European Journal of Cancer (Oxford, England : 1990)|April 10, 2021
Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classificationJulia Höhn, Eva Krieghoff-Henning, Tanja B Jutzi, et al.
JAMA Dermatology|February 7, 2024
Federated Learning for Decentralized Artificial Intelligence in Melanoma DiagnosticsSarah Haggenmüller, Max Schmitt, Eva Krieghoff-Henning, et al.
Journal of the American Academy of Dermatology|January 10, 2024
Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learningAchim Hekler, Roman C Maron, Sarah Haggenmüller, et al.
European Journal of Cancer (Oxford, England : 1990)|August 16, 2022
Model soups improve performance of dermoscopic skin cancer classifiersRoman C Maron, Achim Hekler, Sarah Haggenmüller, et al.
European Journal of Cancer (Oxford, England : 1990)|April 7, 2022
Explainable artificial intelligence in skin cancer recognition: A systematic reviewKatja Hauser, Alexander Kurz, Sarah Haggenmüller, et al.
Nature Communications|January 15, 2024
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanomaTirtha Chanda, Katja Hauser, Sarah Hobelsberger, et al.
European Journal of Cancer (Oxford, England : 1990)|August 7, 2024
Evaluation of a medical student-delivered smoking prevention program utilizing a face-aging mobile app for secondary schools in Germany: The Education Against Tobacco cluster-randomized controlled trialTitus J Brinker, Eva I Krieghoff-Henning, Janina L Suhre, et al.
Pageof 17

Showing results (151-160 of 167) with videos related to

Sort By:
Pageof 17
Nature Medicine|April 26, 2022
Swarm learning for decentralized artificial intelligence in cancer histopathologyOliver Lester Saldanha, Philip Quirke, Nicholas P West, et al.
Communications Medicine|September 10, 2024
Prospective multicenter study using artificial intelligence to improve dermoscopic melanoma diagnosis in patient careLukas Heinlein, Roman C Maron, Achim Hekler, et al.
Journal of the American Academy of Dermatology|February 13, 2021
Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologistsTitus J Brinker, Max Schmitt, Eva I Krieghoff-Henning, et al.
European Journal of Cancer (Oxford, England : 1990)|April 10, 2021
Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classificationJulia Höhn, Eva Krieghoff-Henning, Tanja B Jutzi, et al.
JAMA Dermatology|February 7, 2024
Federated Learning for Decentralized Artificial Intelligence in Melanoma DiagnosticsSarah Haggenmüller, Max Schmitt, Eva Krieghoff-Henning, et al.
Journal of the American Academy of Dermatology|January 10, 2024
Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learningAchim Hekler, Roman C Maron, Sarah Haggenmüller, et al.
European Journal of Cancer (Oxford, England : 1990)|August 16, 2022
Model soups improve performance of dermoscopic skin cancer classifiersRoman C Maron, Achim Hekler, Sarah Haggenmüller, et al.
European Journal of Cancer (Oxford, England : 1990)|April 7, 2022
Explainable artificial intelligence in skin cancer recognition: A systematic reviewKatja Hauser, Alexander Kurz, Sarah Haggenmüller, et al.
Nature Communications|January 15, 2024
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanomaTirtha Chanda, Katja Hauser, Sarah Hobelsberger, et al.
European Journal of Cancer (Oxford, England : 1990)|August 7, 2024
Evaluation of a medical student-delivered smoking prevention program utilizing a face-aging mobile app for secondary schools in Germany: The Education Against Tobacco cluster-randomized controlled trialTitus J Brinker, Eva I Krieghoff-Henning, Janina L Suhre, et al.
Pageof 17