M. van Eijnatten

M. van Eijnatten is a Lecturer at the Academic Centre for Dentistry Amsterdam (ACTA), affiliated with the Maxillofacial Surgery department at VUmc. His research focuses on advancing medical imaging techniques, particularly in CT reconstruction, bone segmentation, and surgical planning using deep learning. He also explores applications of 3D printing in reconstructive surgery and forensic anthropology through 3D modeling derived from clinical CT scans. Collaborations involve interdisciplinary teams in biomedical engineering and computer science.

Research interests include improving imaging accuracy via neural networks, addressing CT artifacts, and optimizing medical 3D printing technologies. His work has been published in journals like Medical Physics and Forensic Science International.

He has presented on topics such as UTE-MRI sequences in maxillofacial surgery, challenges in medical 3D printing, and 3D scanning technologies. His contributions bridge clinical practice and computational methods to enhance surgical outcomes and forensic analysis.