40 citations · 113 across the 13 of their papers we have counts for
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A Neural Network based Framework for Effective Laparoscopic Video Quality Assessment
Zohaib Amjad Khan, Azeddine Beghdadi, Mounir Kaaniche +2
Video quality assessment is a challenging problem having a critical significance in the context of medical imaging. For instance, in laparoscopic surgery, the acquired video data s…
Residual Networks based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
Zohaib Amjad Khan, Azeddine Beghdadi, Mounir Kaaniche +1
Laparoscopic images and videos are often affected by different types of distortion like noise, smoke, blur and nonuniform illumination. Automatic detection of these distortions, fo…
Towards a Video Quality Assessment based Framework for Enhancement of Laparoscopic Videos
Zohaib Amjad Khan, Azeddine Beghdadi, Faouzi Alaya Cheikh +6
Laparoscopic videos can be affected by different distortions which may impact the performance of surgery and introduce surgical errors. In this work, we propose a framework for aut…