Moslem Sadeghi-Goughari
Papers
2
Total Citations
60
H-Index
2
About
Moslem Sadeghi-Goughari is a researcher at the forefront of biomedical engineering, specializing in the intersection of haptic-thermal robotics, intraoperative imaging, and artificial intelligence for minimally invasive neurosurgery. His major contributions center on developing novel techniques for brain tumor margin detection, aiming to maximize tumor resection while minimizing patient morbidity. In his seminal 2016 work, "Parameter estimation of brain tumors using intraoperative thermal imaging based on artificial tactile sensing in conjunction with artificial neural network" (36 citations), Sadeghi-Goughari pioneered a method that combines intraoperative thermal imaging (ITI) with artificial tactile sensing (ATS) and neural networks to precisely locate tumor boundaries. This approach offers a minimally invasive alternative to traditional palpation. His earlier foundational study, "Intraoperative thermal imaging of brain tumors using a haptic-thermal robot with application in minimally invasive neurosurgery" (24 citations), introduced a haptic-thermal robotic system capable of sensing temperature and tactile feedback during surgery. Together, these works have garnered significant attention for their potential to enhance surgical precision and safety, establishing Sadeghi-Goughari as a key innovator in smart surgical tools and AI-driven diagnostics.
Research Focus
Key Achievements
Top Papers
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