31 citations · 86 across the 11 of their papers we have counts for
12 papers
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…
Training-free Temporal Object Tracking in Surgical Videos
Subhadeep Koley, Abdolrahim Kadkhodamohammadi, Santiago Barbarisi +2
Purpose: In this paper, we present a novel approach for online object tracking in laparoscopic cholecystectomy (LC) surgical videos, targeting localisation and tracking of critical…
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…
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…
Self-Knowledge Distillation for Surgical Phase Recognition
Jinglu Zhang, Santiago Barbarisi, Abdolrahim Kadkhodamohammadi +2
Purpose: Advances in surgical phase recognition are generally led by training deeper networks. Rather than going further with a more complex solution, we believe that current model…
Why is the winner the best?
Matthias Eisenmann, Annika Reinke, Vivienn Weru +122
International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
CaDIS: Cataract Dataset for Image Segmentation
Maria Grammatikopoulou, Evangello Flouty, Abdolrahim Kadkhodamohammadi +5
Video feedback provides a wealth of information about surgical procedures and is the main sensory cue for surgeons. Scene understanding is crucial to computer assisted intervention…
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation
Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi +3
Person detection and pose estimation is a key requirement to develop intelligent context-aware assistance systems. To foster the development of human pose estimation methods and th…
A generalizable approach for multi-view 3D human pose regression
Abdolrahim Kadkhodamohammadi, Nicolas Padoy
Despite the significant improvement in the performance of monocular pose estimation approaches and their ability to generalize to unseen environments, multi-view (MV) approaches ar…
A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms
Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin +1
Many approaches have been proposed for human pose estimation in single and multi-view RGB images. However, some environments, such as the operating room, are still very challenging…
Articulated Clinician Detection Using 3D Pictorial Structures on RGB-D Data
Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin +1
Reliable human pose estimation (HPE) is essential to many clinical applications, such as surgical workflow analysis, radiation safety monitoring and human-robot cooperation. Propos…