1 citations · 1 across the 12 of their papers we have counts for
13 papers
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…
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…
Design, Modelling and Characterisation of a Miniature Fibre-Reinforced Soft Bending Actuator for Endoluminal Interventions
Xiangyi Tan, Aoife McDonald-Bowyer, Danail Stoyanov +1
Miniaturised soft pneumatic actuators are crucial for robotic intervention within highly constrained anatomical pathways. This work presents the design and validation of a fibre-re…
TemporalDoRA: Temporal PEFT for Robust Surgical Video Question Answering
Luca Carlini, Chiara Lena, Cesare Hassan +4
Surgical Video Question Answering (VideoQA) requires accurate temporal grounding while remaining robust to natural variation in how clinicians phrase questions, where linguistic bi…
SurgFusion-Net: Diversified Adaptive Multimodal Fusion Network for Surgical Skill Assessment
Runlong He, Freweini M. Tesfai, Matthew W. E. Boal +13
Robotic-assisted surgery (RAS) is established in clinical practice, and automated surgical skill assessment utilizing multimodal data offers transformative potential for surgical a…
Diff2DGS: Reliable Reconstruction of Occluded Surgical Scenes via 2D Gaussian Splatting
Tianyi Song, Danail Stoyanov, Evangelos Mazomenos +1
Real-time reconstruction of deformable surgical scenes is vital for advancing robotic surgery, improving intraoperative guidance, and enabling automation. Recent methods achieve de…
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…
Learning from Single Timestamps: Complexity Estimation in Laparoscopic Cholecystectomy
Dimitrios Anastasiou, Santiago Barbarisi, Lucy Culshaw +4
Purpose: Accurate assessment of surgical complexity is essential in Laparoscopic Cholecystectomy (LC), where severe inflammation is associated with longer operative times and incre…
Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge
Max Kirchner, Hanna Hoffmann, Alexander C. Jenke +16
Developing generalizable surgical AI requires multi-institutional data, yet privacy constraints preclude direct data sharing, making Federated Learning (FL) a natural candidate. It…
Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment
Dimitrios Anastasiou, Razvan Caramalau, Nazir Sirajudeen +11
Automated surgical skill assessment (SSA) is a central task in surgical computer vision. Developing robust SSA models is challenging due to the scarcity of skill annotations, which…
CARES: Collaborative Agentic Reasoning for Error Detection in Surgery
Chang Han Low, Zhu Zhuo, Ziyue Wang +11
Robotic-assisted surgery (RAS) introduces complex challenges that current surgical error detection methods struggle to address effectively due to limited training data and methodol…
Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) Challenge
Adam Schmidt, Mert Asim Karaoglu, Soham Sinha +37
Understanding tissue motion in surgery is crucial to enable applications in downstream tasks such as segmentation, 3D reconstruction, virtual tissue landmarking, autonomous probe-b…