5 papers
Extended KAFR: A kinematic-adaptive paradigm for the efficient analysis of surgical video
Huu Phong Nguyen, Shekhar Madhav Khairnar, Ganesh Sankaranarayanan
Artificial Intelligence is increasingly applied to surgical video analysis for phase segmentation, skill assessment, and workflow optimization. A key challenge is the length of sur…
IDAG-Edit: Multi-Object Video Editing via Instance-Decoupled Attention and Guidance
Yuan-Zhih Lin, Huu-Thang Nguyen, Huu-Phu Do +2
Diffusion-based video editing has made significant progress; however, achieving precise and temporally consistent object-level control, especially in multi-object scenarios, remain…
Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplication
Shekhar Madhav Khairnar, Huu Phong Nguyen, Alexis Desir +3
Automated assessment of surgical skills using artificial intelligence (AI) provides trainees with instantaneous feedback. After bimanual tool motions are captured, derived kinemati…
Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation
Huu Phong Nguyen, Shekhar Madhav Khairnar, Sofia Garces Palacios +6
The interest in leveraging Artificial Intelligence (AI) for surgical procedures to automate analysis has witnessed a significant surge in recent years. One of the primary tools for…
Evaluating Model Performance with Hard-Swish Activation Function Adjustments
Sai Abhinav Pydimarry, Shekhar Madhav Khairnar, Sofia Garces Palacios +4
In the field of pattern recognition, achieving high accuracy is essential. While training a model to recognize different complex images, it is vital to fine-tune the model to achie…