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ORCIDNicolai R. Krekiehn
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2020 – today
- 2025
[j1]Markus R. Bujotzek
, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon S. Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus H. Maier-Hein, Andreas Bucher, Rickmer Braren:
Real-world federated learning in radiology: hurdles to overcome and benefits to gain. J. Am. Medical Informatics Assoc. 32(1): 193-205 (2025)- 2024
- [c3]Christopher J. Hansen, Jonas Conrad, Ronald Seidel, Nicolai R. Krekiehn, Eren Bora Yilmaz, Niklas Koser, Martin Götze, Toni Gehrmann, Sebastian Lauterbach, Christian Graetz, Christof Dörfer, Claus C. Glüer:
Automated Tooth Instance Segmentation and Pathology Annotation Pipeline for Panoramic Radiographs - Mask-R-CNN Approach with Elastic Transformations. Bildverarbeitung für die Medizin 2024: 237-242 - [c2]Mohd Faraz Shaikh, Eren Bora Yilmaz, O. Mercy Akinloye, Sandra Freitag-Wolf, Srinivas Kachavarapu, Nicolai R. Krekiehn, Claus-Christian Glüer, Eric Orwoll, Carsten Meyer:
CNN-Based Osteoporotic Vertebral Fracture Prediction and Risk Assessment on MrOS CT Data: Impact of CNN Model Architecture. MIUA (2) 2024: 42-57 - [i1]Markus R. Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon S. Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus H. Maier-Hein, Rickmer Braren, Andreas Bucher:
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain. CoRR abs/2405.09409 (2024) - 2023
- [c1]Nicolai R. Krekiehn, Eren Bora Yilmaz, Hannes C. Kruse, Carsten Meyer, Claus-Christian Glüer:
Automated Deep-learning-based Vertebral Body Localization and Instance Segmentation for Osteoporosis Assessment using CT. Bildverarbeitung für die Medizin 2023: 171-176
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