| Temperature responses of roots: impact on growth, root system architecture and implications for phenotyping KA Nagel, B Kastenholz, S Jahnke, D Van Dusschoten, T Aach, ... Functional Plant Biology 36 (11), 947-959, 2009 | 300 | 2009 |
| 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 | 270 | 2023 |
| Radiomic versus convolutional neural networks analysis for classification of contrast-enhancing lesions at multiparametric breast MRI D Truhn, S Schrading, C Haarburger, H Schneider, D Merhof, C Kuhl Radiology 290 (2), 290-297, 2019 | 245 | 2019 |
| Leveraging GPT-4 for post hoc transformation of free-text radiology reports into structured reporting: a multilingual feasibility study LC Adams, D Truhn, F Busch, A Kader, SM Niehues, MR Makowski, ... Radiology 307 (4), e230725, 2023 | 210 | 2023 |
| 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 | 175 | 2022 |
| 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 | 162 | 2023 |
| 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 | 155 | 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 | 146 | 2023 |
| Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study SJ Wagner, D Reisenbüchler, NP West, JM Niehues, J Zhu, S Foersch, ... Cancer Cell 41 (9), 1650-1661. e4, 2023 | 122 | 2023 |
| 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 | 108 | 2020 |
| 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 | 86 | 2022 |
| Weakly supervised annotation‐free cancer detection and prediction of genotype in routine histopathology PL Schrammen, N Ghaffari Laleh, A Echle, D Truhn, V Schulz, TJ Brinker, ... The Journal of pathology 256 (1), 50-60, 2022 | 77 | 2022 |
| Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study JM Niehues, P Quirke, NP West, HI Grabsch, M van Treeck, Y Schirris, ... Cell reports Medicine 4 (4), 2023 | 67 | 2023 |
| What does DALL-E 2 know about radiology? LC Adams, F Busch, D Truhn, MR Makowski, HJWL Aerts, KK Bressem Journal of Medical Internet Research 25, e43110, 2023 | 64 | 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 43 (1), 542-557, 2023 | 61 | 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 | 59 | 2022 |
| Medical domain knowledge in domain-agnostic generative AI JN Kather, N Ghaffari Laleh, S Foersch, D Truhn NPJ digital medicine 5 (1), 90, 2022 | 58 | 2022 |
| Automated analysis of alignment in long-leg radiographs by using a fully automated support system based on artificial intelligence J Schock, D Truhn, DB Abrar, D Merhof, S Conrad, M Post, F Mittelstrass, ... Radiology: Artificial Intelligence 3 (2), e200198, 2020 | 58 | 2020 |
| 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 | 57 | 2020 |
| Ex vivo quantitative multiparametric MRI mapping of human meniscus degeneration S Nebelung, M Tingart, T Pufe, C Kuhl, H Jahr, D Truhn Skeletal radiology 45, 1649-1660, 2016 | 53 | 2016 |
Sven NebelungDepartment of Diagnostic and Interventional Radiology, University Hospital AachenE-mail megerősítve itt: ukaachen.de