13 papers
Track2Map: Online Deformable SLAM with Motion-Aware Pose Optimization in Robotic Surgery
Tianyi Song, Sierra Bonilla, Xinwei Ju +6
Gaussian splatting is the current state-of-the-art for dense, deformable 3D anatomy reconstruction in robot-assisted minimally invasive surgery (RAMIS); however, most pipelines are…
DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection
Sudhanshu Mishra, Jialang Xu, Jensen Ang +3
Intraoperative Adverse Events (IAEs) detection is critical for improving surgical safety, with bleeding being among the most frequent events across many surgery types. Existing met…
OSS: Open Suturing Skills Vision-Based Assessment Challenge 2024-2025
Hanna Hoffmann, Setareh Bady, Claas de Boer +54
Achieving high levels of surgical skill through effective training is essential for optimal patient outcomes. Automated, data-driven skill assessment holds significant potential to…
Depth Augmented and FE Free 3D/2D Liver Registration for Laparoscopic Liver AR
Hanyuan Zhang, Lucas He, Runlong He +6
Augmented reality (AR) guidance in laparoscopic liver surgery requires accurate registration of preoperative 3D models to intraoperative 2D video, but remains challenging due to pa…
Warm-Started Reinforcement Learning for Iterative 3D/2D Liver Registration
Hanyuan Zhang, Lucas He, Zijie Cheng +5
Registration between preoperative CT and intraoperative laparoscopic video plays a crucial role in augmented reality (AR) guidance for minimally invasive surgery. Learning-based me…
CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment
Dimitrios Anastasiou, Razvan Caramalau, Jialang Xu +6
Vision-based surgical skill assessment (SSA) enables objective and scalable evaluation of operative performance. Progress in this field is constrained by the high cost and time dem…