Christoph Otte
Papers
4
Total Citations
34
H-Index
3
About
Christoph Otte is a researcher advancing the frontiers of surgical robotics and medical imaging, with a focus on restoring haptic feedback in minimally invasive procedures. His key research areas include force sensing, optical coherence tomography (OCT), and laser-based tissue ablation. Otte’s major contribution is developing novel, sensorless methods to estimate interaction forces between surgical instruments and tissue—a critical challenge in robot-assisted surgery where tactile feedback is absent. His most cited work, "Force estimation from OCT volumes using 3D CNNs" (2019, 19 citations), pioneered the use of deep learning to infer forces directly from volumetric imaging data, bypassing fragile external sensors. This approach, further refined in his 2016 study (9 citations), offers a robust, sterilizable solution for haptic feedback. Otte has also explored optical detection of soft tissue deformation during needle insertion (2012, 3 citations) and integrated OCT navigation with picosecond infrared laser ablation (2019, 3 citations), enabling precise tumor removal with minimal collateral damage. His work bridges imaging, machine learning, and interventional devices, promising safer, more intuitive surgical tools.
Research Focus
Key Achievements
Top Papers
- 1Force estimation from OCT volumes using 3D CNNs19 citations · 2019
- 2Towards force sensing based on instrument-tissue interaction9 citations · 2016
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