| Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports FJ Dorfner, L Jürgensen, L Donle, FA Mohamad, TR Bodenmann, ... arXiv preprint arXiv:2402.12298, 2024 | 7 | 2024 |
| MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences H Häntze, L Xu, FJ Dorfner, L Donle, D Truhn, H Aerts, M Prokop, ... arXiv preprint arXiv:2405.06463, 2024 | 6 | 2024 |
| Improve Cross-Modality Segmentation by Treating MRI Images as Inverted CT Scans H Häntze, L Xu, L Donle, FJ Dorfner, A Hering, LC Adams, KK Bressem arXiv preprint arXiv:2405.03713, 2024 | 2 | 2024 |
| Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph Reports FJ Dorfner, L Jürgensen, L Donle, F Al Mohamad, TR Bodenmann, ... Radiology 313 (1), e241139, 2024 | 1 | 2024 |
| Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection FJ Dorfner, JL Vahldiek, L Donle, A Zhukov, L Xu, H Häntze, ... arXiv preprint arXiv:2405.07369, 2024 | 1 | 2024 |
| Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural Networks F Al Mohamad, L Donle, F Dorfner, L Romanescu, K Drechsler, ... Academic Radiology, 2025 | | 2025 |
| Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection FJ Dorfner, JL Vahldiek, L Donle, A Zhukov, L Xu, H Häntze, ... RMD open 10 (4), e004628, 2024 | | 2024 |
| Improving the detection of sleep slow oscillations in electroencephalographic data C Dimulescu, L Donle, C Cakan, T Goerttler, L Khakimova, J Ladenbauer, ... Frontiers in neuroinformatics 18, 1338886, 2024 | | 2024 |