Felix J. Dorfner

According to our database, Felix J. Dorfner authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Real-world clinical impact of three commercial AI algorithms on musculoskeletal radiography interpretation: A prospective crossover reader study.

Philipp Prucker, Tristan Lemke, Christian Johner, Sebastian Ziegelmayer, Markus M. Graf, Dominik Weller, Su Hwan Kim, Florian T. Gassert, Avan Kader, Felix J. Dorfner, Aymen Meddeb, Marcus R. Makowski, Jacqueline Lammert, Thomas Huber, Fabian Lohöfer, Keno K. Bressem, Lisa C. Adams, Ina Luiken, Felix Busch

Int. J. Medical Informatics, 2026

2025

Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks.

Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Lisa C. Adams, Keno K. Bressem

J. Am. Medical Informatics Assoc., 2025

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging.

Manon A. Dorster, Felix J. Dorfner, Mason C. Cleveland, Melisa S. Guelen, Jay B. Patel, Dania Daye, Jean-Philippe Thiran, Albert E. Kim, Christopher P. Bridge

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

2024

Scalable Drift Monitoring in Medical Imaging AI.

Jameson Merkow, Felix J. Dorfner, Xiyu Yang, Alexander Ersoy, Giridhar Dasegowda, Mannudeep K. Kalra, Matthew P. Lungren, Christopher P. Bridge, Ivan Tarapov

CoRR, 2024

Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data.

Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Jacqueline Lammert, Lisa C. Adams, Keno K. Bressem

CoRR, 2024

Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection.

Felix J. Dorfner, Janis Lucas Vahldiek, Leonhard Donle, Andrei Zhukov, Lina Xu, Hartmut Häntze, Marcus R. Makowski, Hugo J. W. L. Aerts, Fabian Proft, Valeria Rios Rodriguez, Judith Rademacher, Mikhail Protopopov, Hildrun Haibel, Torsten Diekhoff, Murat Torgutalp, Lisa C. Adams, Denis Poddubnyy, Keno K. Bressem

CoRR, 2024

MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences.

Hartmut Häntze, Lina Xu, Felix J. Dorfner, Leonhard Donle, Daniel Truhn, Hugo J. W. L. Aerts, Mathias Prokop, Bram van Ginneken, Alessa Hering, Lisa C. Adams, Keno K. Bressem

CoRR, 2024

Improve Cross-Modality Segmentation by Treating MRI Images as Inverted CT Scans.

Hartmut Häntze, Lina Xu, Leonhard Donle, Felix J. Dorfner, Alessa Hering, Lisa C. Adams, Keno K. Bressem

CoRR, 2024

Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports.

Felix J. Dorfner, Liv Jürgensen, Leonhard Donle, Fares Al Mohamad, Tobias R. Bodenmann, Mason C. Cleveland, Felix Busch, Lisa C. Adams, James Sato, Thomas Schultz, Albert E. Kim, Jameson Merkow, Keno K. Bressem, Christopher P. Bridge

CoRR, 2024

Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases.

Tobias R. Bodenmann, Nelson Gil, Felix J. Dorfner, Mason C. Cleveland, Jay B. Patel, Shreyas Bhat Brahmavar, Melisa S. Guelen, Dagoberto Pulido-Arias, Jayashree Kalpathy-Cramer, Jean-Philippe Thiran, Bruce R. Rosen, Elizabeth R. Gerstner, Albert E. Kim, Christopher P. Bridge

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024