| Learning with known operators reduces maximum error bounds AK Maier, C Syben, B Stimpel, T Würfl, M Hoffmann, F Schebesch, W Fu, ... Nature machine intelligence 1 (8), 373-380, 2019 | 184 | 2019 |
| Critical review of processing and classification techniques for images and spectra in microplastic research W Cowger, A Gray, SH Christiansen, H DeFrond, AD Deshpande, ... Applied Spectroscopy 74 (9), 989-1010, 2020 | 169 | 2020 |
| Next-generation imaging of the skeletal system and its blood supply A Grüneboom, L Kling, S Christiansen, L Mill, A Maier, K Engelke, ... Nature Reviews Rheumatology 15 (9), 533-549, 2019 | 62 | 2019 |
| Synthetic image rendering solves annotation problem in deep learning nanoparticle segmentation L Mill, D Wolff, N Gerrits, P Philipp, L Kling, F Vollnhals, A Ignatenko, ... Small Methods 5 (7), 2100223, 2021 | 32 | 2021 |
| Cephalogram synthesis and landmark detection in dental cone-beam CT systems Y Huang, F Fan, C Syben, P Roser, L Mill, A Maier Medical Image Analysis 70, 102028, 2021 | 17 | 2021 |
| Towards In-Vivo X-Ray nanoscopy: the effect of motion on image quality L Mill, B Bier, C Syben, L Kling, A Klingberg, S Christiansen, G Schett, ... Bildverarbeitung für die Medizin 2018: Algorithmen-Systeme-Anwendungen …, 2018 | 6 | 2018 |
| Semi-permeable filters for interior region of interest dose reduction in X-ray microscopy Y Huang, L Mill, R Stoll, L Kling, O Aust, F Wagner, A Grüneboom, ... Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021 | 4 | 2021 |
| Tibia cortical bone segmentation in micro-CT and X-ray microscopy data using a single neural network O Aust, M Thies, DanielaWeidner, FabianWagner, S Pechmann, L Mill, ... Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | 3 | 2022 |
| Towards in-vivo x-ray nanoscopy: Acquisition parameters vs. image quality L Mill, L Kling, A Grüneboom, G Schett, S Christiansen, A Maier Bildverarbeitung für die Medizin 2019: Algorithmen–Systeme–Anwendungen …, 2019 | 3 | 2019 |
| Front Cover: Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation (Small Methods 7/2021). L Mill, D Wolff, N Gerrits, P Philipp, L Kling, F Vollnhals, A Ignatenko, ... Small Methods 5 (7), 2021 | 1 | 2021 |
| SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data L Mill, O Aust, JA Ackermann, P Burger, M Pascual, K Palumbo-Zerr, ... arXiv preprint arXiv:2207.14650, 2022 | | 2022 |
| Myopathological Aspects of the Master Athletic Laboratory Study of Intramuscular Connective Tissue C Berwanger, S Humbsch, L Mill, P Lau, R Schröder, J Rittweger, ... | | 2022 |
| Towards Mouse Bone X-ray Microscopy Scan Simulation W Fu, L Mill, S Seitz, T Geimer, L Kling, D Possart, S Christiansen, A Maier Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021 | | 2021 |
| SP0107 THE 4-D+ NANOSCOPE: THE RESOLUTION FOR BIOLOGICAL SAMPLES L Kling, L Mill, A Grüneboom, G Sarau, M Herrmann, G Schett, A Maier, ... Annals of the Rheumatic Diseases 78 (Suppl 2), 31-31, 2019 | | 2019 |
