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Felix J Dorfner

Showing results (1-10 of 9) with videos related to

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Current Problems in Diagnostic Radiology|December 13, 2024
Large language models as an academic resource for radiologists stepping into artificial intelligence researchSatvik Tripathi, Jay Patel, Liam Mutter, et al.
NPJ Precision Oncology|January 3, 2025
A review of deep learning for brain tumor analysis in MRIFelix J Dorfner, Jay B Patel, Jayashree Kalpathy-Cramer, et al.
European Radiology Experimental|September 20, 2025
MRI annotation using an inversion-based preprocessing for CT model adaptationHartmut Häntze, Lina Xu, Maximilian Nikolas Rattunde, et al.
Journal of the American Medical Informatics Association : JAMIA|April 7, 2025
Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasksFelix J Dorfner, Amin Dada, Felix Busch, 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.
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.
International Journal of Medical Informatics|September 20, 2025
Real-world clinical impact of three commercial AI algorithms on musculoskeletal radiography interpretation: A prospective crossover reader studyPhilipp Prucker, Tristan Lemke, Christian J Mertens, et al.
RMD Open|December 24, 2024
Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detectionFelix J Dorfner, Janis L Vahldiek, Leonhard Donle, et al.
Radiology. Artificial Intelligence|August 6, 2025
Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure DelineationHartmut Häntze, Lina Xu, Christian J Mertens, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Current Problems in Diagnostic Radiology|December 13, 2024
Large language models as an academic resource for radiologists stepping into artificial intelligence researchSatvik Tripathi, Jay Patel, Liam Mutter, et al.
NPJ Precision Oncology|January 3, 2025
A review of deep learning for brain tumor analysis in MRIFelix J Dorfner, Jay B Patel, Jayashree Kalpathy-Cramer, et al.
European Radiology Experimental|September 20, 2025
MRI annotation using an inversion-based preprocessing for CT model adaptationHartmut Häntze, Lina Xu, Maximilian Nikolas Rattunde, et al.
Journal of the American Medical Informatics Association : JAMIA|April 7, 2025
Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasksFelix J Dorfner, Amin Dada, Felix Busch, 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.
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.
International Journal of Medical Informatics|September 20, 2025
Real-world clinical impact of three commercial AI algorithms on musculoskeletal radiography interpretation: A prospective crossover reader studyPhilipp Prucker, Tristan Lemke, Christian J Mertens, et al.
RMD Open|December 24, 2024
Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detectionFelix J Dorfner, Janis L Vahldiek, Leonhard Donle, et al.
Radiology. Artificial Intelligence|August 6, 2025
Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure DelineationHartmut Häntze, Lina Xu, Christian J Mertens, et al.
Pageof 1