Mark G. Luciano

Johns Hopkins University, Johns Hopkins Medicine

Papers

4

Total Citations

25

H-Index

3

About

Mark G. Luciano is pioneering the next generation of image-guided neurosurgery, with a focus on robot-assisted ventriculoscopy and deep-brain stimulation. His research directly confronts a critical challenge in neuroendoscopy: the geometric inaccuracies caused by soft-tissue deformation and cerebrospinal fluid egress during surgery. Luciano’s major contributions center on developing real-time 3D video reconstruction and registration systems, leveraging simultaneous localization and mapping (SLAM) to correct for these deformations and provide live, accurate guidance for surgeons targeting deep-brain structures. His most-cited work, “Pre-Clinical Development of Robot-Assisted Ventriculoscopy for 3-D Image Reconstruction and Guidance of Deep Brain Neurosurgery” (2021, 11 citations), lays the groundwork for overcoming the limitations of conventional neuronavigation. This is complemented by his 2023 study on real-time 3D video reconstruction (9 citations), which demonstrates a practical method for SLAM-based guidance. Luciano’s work is foundational for advancing robotic precision in procedures like ventriculostomy and electrode placement, promising to enhance both the safety and efficacy of complex deep-brain interventions. His ongoing development of end-to-end 3D neuroendoscopic video reconstruction marks him as a key innovator at the intersection of robotics, computer vision, and neurosurgery.

Research Focus

Key Achievements

3
H-Index
4
Papers
25
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Pre-Clinical Development of Robot-Assisted Ventriculoscopy for 3-D Image Reconstruction and Guidance of Deep Brain Neurosurgery
11 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Johns Hopkins University, Johns Hopkins Medicine

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago