| i3PosNet: instrument pose estimation from X-ray in temporal bone surgery. D Kügler, J Sehring, A Stefanov, I Stenin, J Kristin, T Klenzner, J Schipper, ... International Journal of Computer Assisted Radiology and Surgery 15 (7 …, 2020 | 18* | 2020 |
| High-precision evaluation of electromagnetic tracking D Kügler, H Krumb, J Bredemann, I Stenin, J Kristin, T Klenzner, ... International journal of computer assisted radiology and surgery 14 (7 …, 2019 | 10 | 2019 |
| Control methods for robot-based predictive compensation of respiratory motion H Arenbeck, L Wittschier, D Kügler, D Abel Biomedical Signal Processing and Control 34, 16-24, 2017 | 7 | 2017 |
| FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI L Henschel, D Kügler, M Reuter NeuroImage 251, 118933, 2022 | 6 | 2022 |
| Physical Attacks in Dermoscopy: An Evaluation of Robustness for clinical Deep-Learning D Kügler, A Bucher, J Kleemann, A Distergoft, A Jabhe, M Uecker, ... | 6 | 2018 |
| Exploring Adversarial Examples: Patterns of One-Pixel Attacks D Kügler, A Distergoft, A Kuijper, A Mukhopadhyay Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018 | 6 | 2018 |
| Instrument Pose Estimation Using Registration for Otobasis Surgery D Kügler, MA Jastrzebski, A Mukhopadhyay International Workshop on Biomedical Image Registration, 105-114, 2018 | 5 | 2018 |
| Leveraging spatial uncertainty for online error compensation in emt H Krumb, S Hofmann, D Kügler, A Ghazy, B Dorweiler, J Bredemann, ... International Journal of Computer Assisted Radiology and Surgery 15, 1043-1051, 2020 | 3 | 2020 |
| Are 2.5 D approaches superior to 3D deep networks in whole brain segmentation? S Roy, D Kügler, M Reuter | 2 | 2021 |
| AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation D Kügler, M Uecker, A Kuijper, A Mukhopadhyay International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 1 | 2020 |
| Putting Trust first in the Translation of AI for healthcare A Mukhopadhyay, D Kügler, A Bucher, D Fellner, T Vogl ERCIM news, 20-22, 2019 | 1 | 2019 |
| How Bad is Good enough: Noisy annotations for instrument pose estimation D Kügler, A Mukhopadhyay arXiv preprint arXiv:1806.07836, 2018 | 1 | 2018 |
| Learning Anatomical Segmentations for Tractography from Diffusion MRI C Ewert, D Kügler, A Yendiki, M Reuter Computational Diffusion MRI, 81-93, 2021 | | 2021 |
| Adversarial Attacks in der Erkennung von Pneumothoraxes aus Röntgenthoraxaufnahmen: Eine beachtenswerte Schwachstelle in der Translation Künstlicher Neuronaler Netzwerke in die … A Bucher, A Distergoft, D Kuegler, A Rajkarnikar, M Uecker, ... RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2020 | | 2020 |
| Eine praktische Verteidigungsmethode gegen digitale Bildmanipulationen bei der Erkennung von Pneumothoraxes aus Röntgenthoraxaufnahmen: Sicherung der Robustheit von klinischen … A Bucher, D Kuegler, A Distergoft, A Rajkarnikar, M Uecker, P Kujiper, ... RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2020 | | 2020 |
Anirban MukhopadhyayTU DarmstadtVerified email at gris.tu-darmstadt.de
