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Current Problems in Diagnostic Radiology
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December 13, 2024
Large language models as an academic resource for radiologists stepping into artificial intelligence research
Satvik Tripathi, Jay Patel, Liam Mutter, et al.
NPJ Precision Oncology
|
January 3, 2025
A review of deep learning for brain tumor analysis in MRI
Felix 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 adaptation
Hartmut 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 tasks
Felix J Dorfner, Amin Dada, Felix Busch, et al.
Radiology
|
October 29, 2024
Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph Reports
Felix 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 4
Philipp 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 study
Philipp 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 detection
Felix 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 Delineation
Hartmut Häntze, Lina Xu, Christian J Mertens, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Current Problems in Diagnostic Radiology
|
December 13, 2024
Large language models as an academic resource for radiologists stepping into artificial intelligence research
Satvik Tripathi, Jay Patel, Liam Mutter, et al.
NPJ Precision Oncology
|
January 3, 2025
A review of deep learning for brain tumor analysis in MRI
Felix 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 adaptation
Hartmut 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 tasks
Felix J Dorfner, Amin Dada, Felix Busch, et al.
Radiology
|
October 29, 2024
Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph Reports
Felix 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 4
Philipp 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 study
Philipp 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 detection
Felix 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 Delineation
Hartmut Häntze, Lina Xu, Christian J Mertens, et al.
Page
of 1