Papers
2
Total Citations
15
H-Index
2
About
Lina Mekki is a pioneering researcher at the intersection of artificial intelligence and minimally invasive surgery, with a primary focus on advancing image-guided interventions and robotic-assisted ophthalmic procedures. Her work centers on two critical challenges: enhancing navigation in complex surgical environments and improving intra-operative visualization at the microscopic level. In her highly cited 2021 study, Mekki introduced a deep learning framework for catheter tracking from bi-plane X-ray fluoroscopy using 3D-printed heart phantoms, achieving 11 citations for its potential to revolutionize complex cardiac surgeries by providing real-time, precise instrument localization. More recently, her 2022 work on surgical biomicroscopy-guided intra-operative optical coherence tomography (iOCT) image super-resolution, with 4 citations, addresses a pressing need in retinal surgery: delivering high-resolution cross-sectional images during delicate procedures. This innovation is critical for enabling robotic systems to perform sight-restoring therapies with unprecedented accuracy. Mekki’s contributions bridge computational imaging and clinical translation, offering tangible solutions for safer, more effective surgeries. Her research not only pushes the boundaries of surgical navigation but also lays the groundwork for autonomous robotic assistance in ophthalmology and cardiology, marking her as a rising leader in surgical technology innovation.
Research Focus
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Top Papers
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