| 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 | 237 | 2009 |
| 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 | 153 | 2019 |
| 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), 1-10, 2020 | 56 | 2020 |
| Functional MR imaging mapping of human articular cartilage response to loading S Nebelung, B Sondern, S Oehrl, M Tingart, B Rath, T Pufe, S Raith, ... Radiology 282 (2), 464-474, 2017 | 43 | 2017 |
| 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 | 40 | 2016 |
| Quantitative OCT and MRI biomarkers for the differentiation of cartilage degeneration S Nebelung, N Brill, M Tingart, T Pufe, C Kuhl, H Jahr, D Truhn Skeletal radiology 45, 505-516, 2016 | 40 | 2016 |
| 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 | 30 | 2022 |
| Measuring plant root growth M Muhlich, D Truhn, K Nagel, A Walter, H Scharr, T Aach Lecture notes in computer science 5096, 497-506, 2008 | 29 | 2008 |
| 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 | 28 | 2022 |
| Gradient transparent RF housing for simultaneous PET/MRI using carbon fiber composites PM Düppenbecker, J Wehner, W Renz, S Lodomez, D Truhn, PK Marsden, ... 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record …, 2012 | 27 | 2012 |
| Camera calibration for fish-eye lenses in endoscopywith an application to 3D reconstruction J Tischendorf, C Trautwein, T Aach, D Truhn, T Stehle 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2007 | 27 | 2007 |
| T2 MR imaging vs. computational modeling of human articular cartilage tissue functionality K Linka, M Itskov, D Truhn, S Nebelung, J Thüring Journal of the mechanical behavior of biomedical materials 74, 477-487, 2017 | 25 | 2017 |
| Multiparametric MRI and computational modelling in the assessment of human articular cartilage properties: a comprehensive approach J Thüring, K Linka, M Itskov, M Knobe, L Hitpaß, C Kuhl, D Truhn, ... BioMed research international 2018, 2018 | 23 | 2018 |
| Polarization-sensitive optical coherence tomography-based imaging, parameterization, and quantification of human cartilage degeneration N Brill, M Wirtz, D Merhof, M Tingart, H Jahr, D Truhn, R Schmitt, ... Journal of biomedical optics 21 (7), 076013-076013, 2016 | 23 | 2016 |
| Non-invasive T1ρ mapping of the human cartilage response to loading and unloading S Nebelung, B Sondern, H Jahr, M Tingart, M Knobe, J ThŘring, C Kuhl, ... Osteoarthritis and cartilage 26 (2), 236-244, 2018 | 22 | 2018 |
| 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 | 21 | 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 | 21 | 2020 |
| Detection of early-stage degeneration in human articular cartilage by multiparametric MR imaging mapping of tissue functionality S Nebelung, M Post, M Knobe, M Tingart, P Emans, J Thüring, C Kuhl, ... Scientific reports 9 (1), 5895, 2019 | 21 | 2019 |
| Multi scale curriculum CNN for context-aware breast MRI malignancy classification C Haarburger, M Baumgartner, D Truhn, M Broeckmann, H Schneider, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 20 | 2019 |
| Functional in situ assessment of human articular cartilage using MRI: a whole-knee joint loading device S Nebelung, M Post, S Raith, H Fischer, M Knobe, B Braun, A Prescher, ... Biomechanics and Modeling in Mechanobiology 16, 1971-1986, 2017 | 20 | 2017 |
Sven NebelungDepartment of Diagnostic and Interventional Radiology, University Hospital AachenVerified email at ukaachen.de
