| MedAlpaca--an open-source collection of medical conversational AI models and training data T Han, LC Adams, JM Papaioannou, P Grundmann, T Oberhauser, ... arXiv preprint arXiv:2304.08247, 2023 | 151 | 2023 |
| Denoising diffusion probabilistic models for 3D medical image generation F Khader, G Müller-Franzes, S Tayebi Arasteh, T Han, C Haarburger, ... Scientific Reports 13 (1), 7303, 2023 | 109* | 2023 |
| A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis G Müller-Franzes, JM Niehues, F Khader, ST Arasteh, C Haarburger, ... Scientific Reports 13 (1), 12098, 2023 | 87 | 2023 |
| Adversarial attacks and adversarial robustness in computational pathology N Ghaffari Laleh, D Truhn, GP Veldhuizen, T Han, M van Treeck, ... Nature communications 13 (1), 5711, 2022 | 55 | 2022 |
| Breaking medical data sharing boundaries by using synthesized radiographs T Han, S Nebelung, C Haarburger, N Horst, S Reinartz, D Merhof, ... Science advances 6 (49), eabb7973, 2020 | 49* | 2020 |
| Using machine learning to reduce the need for contrast agents in breast MRI through synthetic images G Müller-Franzes, L Huck, S Tayebi Arasteh, F Khader, T Han, V Schulz, ... Radiology 307 (3), e222211, 2023 | 33 | 2023 |
| Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization T Han, S Nebelung, F Pedersoli, M Zimmermann, M Schulze-Hagen, ... Nature communications 12 (1), 4315, 2021 | 26 | 2021 |
| Multimodal deep learning for integrating chest radiographs and clinical parameters: a case for transformers F Khader, G Müller-Franzes, T Wang, T Han, S Tayebi Arasteh, ... Radiology 309 (1), e230806, 2023 | 24* | 2023 |
| Encrypted federated learning for secure decentralized collaboration in cancer image analysis D Truhn, ST Arasteh, OL Saldanha, G Müller-Franzes, F Khader, P Quirke, ... Medical image analysis 92, 103059, 2024 | 21 | 2024 |
| Large language models streamline automated machine learning for clinical studies S Tayebi Arasteh, T Han, M Lotfinia, C Kuhl, JN Kather, D Truhn, ... Nature Communications 15 (1), 1603, 2024 | 19 | 2024 |
| Artificial intelligence for clinical interpretation of bedside chest radiographs F Khader, T Han, G Müller-Franzes, L Huck, P Schad, S Keil, E Barzakova, ... Radiology 307 (1), e220510, 2022 | 19 | 2022 |
| Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation T Han, JN Kather, F Pedersoli, M Zimmermann, S Keil, M Schulze-Hagen, ... Nature Machine Intelligence 4 (11), 1029-1039, 2022 | 14* | 2022 |
| Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions T Han, LC Adams, KK Bressem, F Busch, S Nebelung, D Truhn JAMA, 2024 | 8* | 2024 |
| Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data F Khader, JN Kather, G Müller-Franzes, T Wang, T Han, S Tayebi Arasteh, ... Scientific Reports 13 (1), 10666, 2023 | 8 | 2023 |
| Medical foundation models are susceptible to targeted misinformation attacks T Han, S Nebelung, F Khader, T Wang, G Mueller-Franzes, C Kuhl, ... arXiv preprint arXiv:2309.17007, 2023 | 4 | 2023 |
| Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers F Khader, JN Kather, T Han, S Nebelung, C Kuhl, J Stegmaier, D Truhn International Workshop on Machine Learning in Medical Imaging, 417-426, 2023 | 3 | 2023 |
| LongHealth: A Question Answering Benchmark with Long Clinical Documents L Adams, F Busch, T Han, JB Excoffier, M Ortala, A Löser, HJWL Aerts, ... arXiv preprint arXiv:2401.14490, 2024 | 2 | 2024 |
| Multimodal large language models are generalist medical image interpreters T Han, LC Adams, S Nebelung, JN Kather, KK Bressem, D Truhn medRxiv, 2023.12. 21.23300146, 2023 | 2 | 2023 |
| Intraindividual comparison of different methods for automated BPE assessment at breast MRI: a call for standardization G Müller-Franzes, F Khader, S Tayebi Arasteh, L Huck, M Bode, T Han, ... Radiology 312 (1), e232304, 2024 | 1 | 2024 |
| Integrating Text and Image Analysis: Exploring GPT-4V’s Capabilities in Advanced Radiological Applications Across Subspecialties F Busch, T Han, MR Makowski, D Truhn, KK Bressem, L Adams Journal of Medical Internet Research 26, e54948, 2024 | 1* | 2024 |
Daniel TruhnProfessor of Radiology, University Hospital Aachen在 ukaachen.de 的电子邮件经过验证
