Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness M Paschali, W Simson, AG Roy, R Göbl, C Wachinger, N Navab International Conference on Information Processing in Medical Imaging, 517-529, 2019 | 39 | 2019 |
An Observer-Based Fusion Method Using Multicore Optical Shape Sensors and Ultrasound Images for Magnetically-Actuated Catheters A Denasi, F Khan, KJ Boskma, M Kaya, C Hennersperger, R Göbl, ... 2018 IEEE International Conference on Robotics and Automation (ICRA), 50-57, 2018 | 37 | 2018 |
Use the force: deformation correction in robotic 3D ultrasound S Virga, R Göbl, M Baust, N Navab, C Hennersperger International journal of computer assisted radiology and surgery 13 (5), 619-627, 2018 | 29 | 2018 |
SUPRA: Open-source software-defined ultrasound processing for real-time applications R Göbl, N Navab, C Hennersperger International journal of computer assisted radiology and surgery 13 (6), 759-767, 2018 | 26 | 2018 |
Robotic Ultrasound for Catheter Navigation in Endovascular Procedures F Langsch, S Virga, J Esteban, R Göbl, N Navab 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 23 | 2019 |
End-to-End Learning-Based Ultrasound Reconstruction W Simson, R Göbl, M Paschali, M Krönke, K Scheidhauer, W Weber, ... arXiv preprint arXiv:1904.04696, 2019 | 19 | 2019 |
Acoustic window planning for ultrasound acquisition R Göbl, S Virga, J Rackerseder, B Frisch, N Navab, C Hennersperger International Journal of Computer Assisted Radiology and Surgery 12 (6), 993, 2017 | 18 | 2017 |
Total variation regularization of pose signals with an application to 3d freehand ultrasound M Esposito, C Hennersperger, R Göbl, L Demaret, M Storath, N Navab, ... IEEE transactions on medical imaging 38 (10), 2245-2258, 2019 | 14 | 2019 |
Initialize globally before acting locally: Enabling Landmark-free 3D US to MRI Registration J Rackerseder, M Baust, R Göbl, N Navab, C Hennersperger International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 12 | 2018 |
Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations J Rackerseder, R Göbl, N Navab, C Hennersperger arXiv preprint arXiv:1904.08655, 2019 | 8 | 2019 |
Speckle2Speckle: Unsupervised Learning of Ultrasound Speckle Filtering Without Clean Data R Göbl, C Hennersperger, N Navab arXiv preprint arXiv:2208.00402, 2022 | 4 | 2022 |
Method and Apparatus for Ultrasound Imaging with Improved Beamforming C Hennersperger, R Göbl, G Zahnd, W Simson US Patent App. 17/251,130, 2021 | 2 | 2021 |
Redefining Ultrasound Compounding: Computational Sonography R Göbl, D Mateus, C Hennersperger, M Baust, N Navab arXiv preprint arXiv:1811.01534, 2018 | 2 | 2018 |
Receive Beamforming in Medical Ultrasound—A Review of Aperture Data Processing R Göbl TechRxiv, 2022 | 1 | 2022 |
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness M Paschali, W Simson, AG Roy, MF Naeem, R Göbl, C Wachinger, ... arXiv preprint arXiv:1901.04420, 2019 | | 2019 |
Landmark-Free Initialization of Multi-Modal Image Registration J Rackerseder, M Baust, R Göbl, N Navab, C Hennersperger Bildverarbeitung für die Medizin 2019, 308-308, 2019 | | 2019 |