Distance Sonification for Laparoscopic Cholecystectomy using Dense Depth Estimation


The primary objective of this project is to actively engage in a real laparoscopic cholecystectomy operation with the specific aim of addressing and resolving the persistent depth perception challenge associated with this intricate surgical procedure. By actively participating in the operation, the project seeks to gain practical insights into the nuances of laparoscopic cholecystectomy and develop innovative solutions to enhance depth perception. This hands-on approach aims to contribute valuable advancements to the field, ultimately improving the efficacy and safety of laparoscopic cholecystectomy procedures.

Merve Karalı
Merve Karalı
AI Researcher & Data Engineer

Passionate about leveraging technology to drive innovation and solve complex challenges, I am a seasoned professional with expertise in both AI research and data engineering. Holding a Master’s degree in Informatics from Technical University of Munich, my journey has been marked by hands-on experience in crafting and implementing cutting-edge solutions that bridge the realms of artificial intelligence and data-driven insights.