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

Felix Busch

Showing results (51-60 of 70) with videos related to

Pageof 7
Sort By:
Academic Radiology|January 7, 2025
Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural NetworksFares Al Mohamad, Leonhard Donle, Felix Dorfner, et al.
Cardiovascular and Interventional Radiology|December 7, 2025
Comparative Evaluation of Proprietary and Open-Source Large Language Models for Systematic Multi-source Information Extraction in Interventional OncologyElif Can, Wibke Uller, Elmar Kotter, et al.
Communications Medicine|January 21, 2025
Current applications and challenges in large language models for patient care: a systematic reviewFelix Busch, Lena Hoffmann, Christopher Rueger, et al.
Computer Methods and Programs in Biomedicine|April 1, 2023
Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographsFelix Busch, Lina Xu, Dmitry Sushko, et al.
Radiology|October 29, 2024
Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph ReportsFelix J Dorfner, Liv Jürgensen, Leonhard Donle, et al.
European Radiology|September 3, 2025
Evaluating large language model-generated brain MRI protocols: performance of GPT4o, o3-mini, DeepSeek-R1 and Qwen2.5-72BSu Hwan Kim, Severin Schramm, Lena Schmitzer, et al.
Journal of Imaging Informatics in Medicine|March 22, 2025
Evaluation of a Retrieval-Augmented Generation-Powered Chatbot for Pre-CT Informed Consent: a Prospective Comparative StudyFelix Busch, Lukas Kaibel, Hai Nguyen, et al.
Journal of Neurointerventional Surgery|June 23, 2026
Evaluating accuracy and reasoning capabilities of large language models for acute ischemic stroke managementAymen Meddeb, Navid Bakhtiari, Ida Rangus, et al.
Radiology|November 18, 2025
A Prospective Controlled Trial of Large Language Model-based Simplification of Oncologic CT Reports for Patients with CancerPhilipp Prucker, Keno K Bressem, Jan Peeken, et al.
Journal of Imaging Informatics in Medicine|July 27, 2025
Privacy-Preserving Generation of Structured Lymphoma Progression Reports from Cross-sectional Imaging: A Comparative Analysis of Llama 3.3 and Llama 4Philipp Prucker, Keno K Bressem, Su Hwan Kim, et al.
Pageof 7

Showing results (51-60 of 70) with videos related to

Sort By:
Pageof 7
Academic Radiology|January 7, 2025
Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural NetworksFares Al Mohamad, Leonhard Donle, Felix Dorfner, et al.
Cardiovascular and Interventional Radiology|December 7, 2025
Comparative Evaluation of Proprietary and Open-Source Large Language Models for Systematic Multi-source Information Extraction in Interventional OncologyElif Can, Wibke Uller, Elmar Kotter, et al.
Communications Medicine|January 21, 2025
Current applications and challenges in large language models for patient care: a systematic reviewFelix Busch, Lena Hoffmann, Christopher Rueger, et al.
Computer Methods and Programs in Biomedicine|April 1, 2023
Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographsFelix Busch, Lina Xu, Dmitry Sushko, et al.
Radiology|October 29, 2024
Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph ReportsFelix J Dorfner, Liv Jürgensen, Leonhard Donle, et al.
European Radiology|September 3, 2025
Evaluating large language model-generated brain MRI protocols: performance of GPT4o, o3-mini, DeepSeek-R1 and Qwen2.5-72BSu Hwan Kim, Severin Schramm, Lena Schmitzer, et al.
Journal of Imaging Informatics in Medicine|March 22, 2025
Evaluation of a Retrieval-Augmented Generation-Powered Chatbot for Pre-CT Informed Consent: a Prospective Comparative StudyFelix Busch, Lukas Kaibel, Hai Nguyen, et al.
Journal of Neurointerventional Surgery|June 23, 2026
Evaluating accuracy and reasoning capabilities of large language models for acute ischemic stroke managementAymen Meddeb, Navid Bakhtiari, Ida Rangus, et al.
Radiology|November 18, 2025
A Prospective Controlled Trial of Large Language Model-based Simplification of Oncologic CT Reports for Patients with CancerPhilipp Prucker, Keno K Bressem, Jan Peeken, et al.
Journal of Imaging Informatics in Medicine|July 27, 2025
Privacy-Preserving Generation of Structured Lymphoma Progression Reports from Cross-sectional Imaging: A Comparative Analysis of Llama 3.3 and Llama 4Philipp Prucker, Keno K Bressem, Su Hwan Kim, et al.
Pageof 7