Lara van de Lande

Lara van de Lande is an MD PhD Researcher at Erasmus University Medical Center in the Department of Oral and Maxillofacial Surgery. With an active research profile including 39 research outputs, she specializes in craniofacial surgery with a focus on syndromic conditions and the application of artificial intelligence in diagnosis and surgical planning.

Her research interests span several key areas in craniofacial medicine:

• Craniofacial Synostosis and related syndromes (Apert, Crouzon, Pierre Robin)
• Computer-assisted tomography and 3D imaging for surgical planning
• Application of artificial intelligence in craniofacial diagnosis
• Mandibular morphology analysis
• Orthognathic surgery in cleft care

Dr. van de Lande's recent publications demonstrate a strong trend toward integrating advanced computational methods with clinical craniofacial surgery. Her work increasingly focuses on using AI and machine learning techniques to improve diagnostic accuracy, understand phenotype-genotype correlations, and objectively assess surgical outcomes in complex craniofacial conditions. This interdisciplinary approach bridges the gap between traditional surgical practice and cutting-edge computational medicine.

Her notable scientific contributions include:

• Development of disentangled neural networks for assessing surgical outcomes in syndromic craniosynostosis
• 3D statistical shape analysis for characterizing mandibular morphology in Robin Sequence
• Application of mesh variational autoencoders for craniofacial syndrome diagnosis
• AI-based approaches to phenotype-genotype correlations in craniosynostoses
• Research on challenges in monitoring outcomes of orthognathic surgery in cleft care

As a researcher at Erasmus MC, Dr. van de Lande collaborates extensively with both clinical and technical teams to advance the field of craniofacial surgery. Her work demonstrates a commitment to improving patient outcomes through innovative diagnostic and surgical planning approaches that combine medical expertise with computational advances.