| Radiomics feature reproducibility under inter-rater variability in segmentations of CT images C Haarburger, G Müller-Franzes, L Weninger, C Kuhl, D Truhn, D Merhof Scientific reports 10 (1), 12688, 2020 | 88 | 2020 |
| 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 | 67 | 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 | 45 | 2023 |
| Medical diffusion: Denoising diffusion probabilistic models for 3d medical image generation F Khader, G Mueller-Franzes, ST Arasteh, T Han, C Haarburger, ... arXiv preprint arXiv:2211.03364, 2022 | 35 | 2022 |
| 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 | 24 | 2023 |
| 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 |
| 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 | 14 | 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 | 11 | 2024 |
| Collaborative training of medical artificial intelligence models with non-uniform labels S Tayebi Arasteh, P Isfort, M Saehn, G Mueller-Franzes, F Khader, ... Scientific Reports 13 (1), 6046, 2023 | 11 | 2023 |
| Radiomic feature stability analysis based on probabilistic segmentations C Haarburger, J Schock, D Truhn, P Weitz, G Mueller-Franzes, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1188-1192, 2020 | 8 | 2020 |
| Novel machine learning algorithm can identify patients at risk of poor overall survival following curative resection for colorectal liver metastases I Amygdalos, G Müller‐Franzes, J Bednarsch, Z Czigany, TF Ulmer, ... Journal of Hepato‐Biliary‐Pancreatic Sciences 30 (5), 602-614, 2023 | 7 | 2023 |
| Fast, accurate, and robust T2 mapping of articular cartilage by neural networks G Müller-Franzes, T Nolte, M Ciba, J Schock, F Khader, A Prescher, ... Diagnostics 12 (3), 688, 2022 | 7 | 2022 |
| A radiomics approach to predict the emergence of new hepatocellular carcinoma in computed tomography for high-risk patients with liver cirrhosis E Tietz, D Truhn, G Müller-Franzes, ML Berres, K Hamesch, SA Lang, ... Diagnostics 11 (9), 1650, 2021 | 6 | 2021 |
| 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 | 5 | 2023 |
| Radiomics feature reproducibility under inter-rater variability in segmentations of CT images. Sci Rep 2020; 10: 12688 C Haarburger, G Müller-Franzes, L Weninger, C Kuhl, D Truhn, D Merhof | 5 | |
| Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis F Khader, G Mueller-Franzes, T Wang, T Han, ST Arasteh, C Haarburger, ... arXiv preprint arXiv:2212.09162, 2022 | 4 | 2022 |
| Reliability as a precondition for trust—segmentation reliability analysis of radiomic features improves survival prediction G Müller-Franzes, S Nebelung, J Schock, C Haarburger, F Khader, ... Diagnostics 12 (2), 247, 2022 | 4 | 2022 |
| 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 | 3 | 2023 |
| Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation G Müller-Franzes, F Müller-Franzes, L Huck, V Raaff, E Kemmer, ... Scientific Reports 13 (1), 14207, 2023 | 3 | 2023 |
| Wearable activity data can predict functional recovery after musculoskeletal injury: Feasibility of a machine learning approach BJ Braun, T Histing, MM Menger, SC Herath, GA Mueller-Franzes, ... Injury 55 (2), 111254, 2024 | 2 | 2024 |
