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Sebastian Bodenstedt

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Papers (13)

  1. Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics cs.RO · 2026 · author #20
  2. Supervised Mixture-of-Experts for Surgical Grasping and Retraction cs.RO · 2026 · author #7
  3. Current validation practice undermines surgical AI development q-bio.OT · 2025 · author #11
  4. Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge cs.CV · 2025 · author #18
  5. Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video cs.CV · 2019 · author #2
  6. Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation cs.LG · 2019 · author #4
  7. 2017 Robotic Instrument Segmentation Challenge cs.CV · 2019 · author #10
  8. Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data cs.CV · 2018 · author #1
  9. Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis cs.CV · 2018 · author #1
  10. Real-time image-based instrument classification for laparoscopic surgery cs.CV · 2018 · author #1
  11. Temporal coherence-based self-supervised learning for laparoscopic workflow analysis cs.CV · 2018 · author #6
  12. Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery cs.CV · 2018 · author #1
  13. Exploiting the potential of unlabeled endoscopic video data with self-supervised learning cs.CV · 2017 · author #6

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