Iván Macía

Papers

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About

Iván Macía is a researcher at the forefront of biomedical imaging and surgical robotics, with a focus on advancing intra-operative technologies for tissue repair. His work bridges computer vision, photogrammetry, and robotic systems to address critical challenges in orthopedics and image-guided interventions. Macía’s most-cited paper, “Ultrasound Image Dataset for Image Analysis Algorithms Evaluation” (2015, 9 citations), provides a foundational benchmark for developing and validating image analysis algorithms, supporting research in ultrasound-based diagnostics. His notable contribution, “Proof‐of‐concept of a robotic‐driven photogrammetric scanner for intra‐operative knee cartilage repair” (2023, 3 citations), introduces a novel robotic system for in vivo bioprinting. This work demonstrates a photogrammetric pipeline that reconstructs cartilage and lesion surfaces during surgery, enabling precise, real-time tissue repair. By integrating robotics with 3D surface reconstruction, Macía’s research pushes the boundaries of personalized medicine and minimally invasive surgery. His work has the potential to transform cartilage repair, offering new hope for patients with joint injuries. With a growing citation impact, Macía is a rising innovator in biomedical engineering, inspiring future research in robotic-assisted surgery and tissue engineering.