Juan Carlos Angeles-Ceron
Papers
1
Total Citations
2
H-Index
1
About
Dr. Juan Carlos Angeles-Ceron is a leading researcher at the intersection of computer vision and robotic-assisted surgery, with a primary focus on real-time medical instrument segmentation and tracking. His most influential work, "Attention YOLACT++ for real-time instance segmentation of medical instruments in endoscopic procedures" (2021), introduces a novel deep learning architecture that enhances the YOLACT++ model with attention mechanisms, enabling precise, high-speed identification of surgical tools in minimally invasive procedures. This contribution directly addresses a critical need in computer and robotic-assisted surgeries: improving situational awareness for surgeons while increasing patient safety. Dr. Angeles-Ceron’s research has been validated through rigorous benchmarks, including participation in the 2019 Robust Medical Instrument Segmentation (ROBUST-MIS) Challenge, where his methods demonstrated state-of-the-art performance. With his work accumulating citations and influencing subsequent developments in surgical vision, he is recognized for bridging the gap between real-time instance segmentation and clinical application. His ongoing efforts continue to push the boundaries of automated surgical assistance, making him a key figure in advancing intelligent operating room technologies.
Research Focus
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Top Papers
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