Papers
18
Total Citations
516
H-Index
14
About
Julien Abinahed is a researcher whose work sits at the intersection of surgical robotics, medical image analysis, and intelligent systems for minimally invasive and image-guided interventions. His research has made significant contributions to endoscopic scene understanding, including multi-structure segmentation and 3D pose estimation in robotic surgery, as well as robust stereo reconstruction for minimally invasive procedures — work that has collectively garnered substantial citation impact across the surgical computing community. Abinahed has been a notable contributor to the development of planning and visualization tools for MR-guided robotic prostate biopsy, conducting rigorous end-user evaluations of interventional planning software and augmented reality interfaces that help clinicians make more informed decisions during complex procedures. His moving object tracking research, applied to cardiac surgery and cerebral aneurysm clipping, further demonstrates the breadth of clinical settings he has addressed. His most-cited work (146 citations) explores nanorobotics and artificial intelligence for crossing the blood-brain barrier, reflecting an expanding interest in next-generation theranostic delivery systems for brain cancer and neurological disease. Across more than a decade of research, Abinahed has consistently bridged computational innovation with real-world surgical application, earning recognition as a versatile and impactful figure in medical robotics and computer-assisted intervention.
Research Focus
Key Achievements
Top Papers
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- 6Robust Dense Endoscopic Stereo Reconstruction for Minimally Invasive Surgery26 citations · 2013
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