| Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ... IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021 | 275 | 2021 |
| Swarm learning for decentralized artificial intelligence in cancer histopathology OL Saldanha, P Quirke, NP West, JA James, MB Loughrey, HI Grabsch, ... Nature medicine 28 (6), 1232-1239, 2022 | 107 | 2022 |
| Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology NG Laleh, HS Muti, CML Loeffler, A Echle, OL Saldanha, F Mahmood, ... Medical image analysis 79, 102474, 2022 | 96 | 2022 |
| 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 | 82* | 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 | 67 | 2023 |
| AIROGS: artificial intelligence for robust glaucoma screening challenge C De Vente, KA Vermeer, N Jaccard, H Wang, H Sun, F Khader, D Truhn, ... IEEE transactions on medical imaging, 2023 | 24 | 2023 |
| 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 | 12 | 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 |
| Benchmarking artificial intelligence methods for end-to-end computational pathology NG Laleh, HS Muti, CM Lavinia Loeffler, A Echle, OL Saldanha, ... bioRxiv, 2021.08. 09.455633, 2021 | 10 | 2021 |
| Adaptive preprocessing for generalization in cardiac MR image segmentation F Khader, J Schock, D Truhn, F Morsbach, C Haarburger Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 8 | 2021 |
| Elevating fundoscopic evaluation to expert level-automatic glaucoma detection using data from the airogs challenge F Khader, C Haarburger, JC Kirr, M Menke, JN Kather, J Stegmaier, ... 2022 IEEE international symposium on biomedical imaging challenges (ISBIC), 1-4, 2022 | 7 | 2022 |
| 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 |
| 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 |
| 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 |
