Introduction
Computer graphics has vast applications in the medical arena. We conduct research on facial modeling and simulation applied to dental treatments and craniofacial malformations such as cleft lip and palate. Our goal is to facilitate medical treatments by developing novel, data-driven and reliable graphics methods.
Topics
Soft Tissue Simulation and Animation for Digital Dentistry
In this project, we develop methods for orthodontics and digital dentistry. In particular, we aim to simulate the teeth and soft tissue changes arising from the treatment in a physically consistent way. This allows for a precise planning of the orthodontic treatments, improving the outcomes and thus increasing the patient satisfaction.
A second goal of the project is to photo-realistically visualize the treatment outcomes. This enables a better understanding of a patient's expectations, which is essential for treatment planning.
To achieve these goals, we benefit from our research experience in capturing and digital modeling of human faces, and we collaborate with our industry partner Align Technology and the team of Prof. Irena Sailer from the University of Geneva.
Burden-Reduced Cleft Lip and Palate Care and Healing
Cleft lip and palate is the most frequent craniofacial malformation in newborns (1:700 births) with no existing effective preventive measures. Use of orthopedic plates reduces the cleft size, facilitating the surgery and potentially reducing the required number of surgeries.
Our goal in this project is a fully digital and automated method of designing individual plates which are then fabricated using 3D printers. Inputs could be intraoral scans as well as smartphone videos of the intraoral geometry, which would facilitate the use of plate therapy in low-income countries.
This project is funded by the Botnar Research Center for Child Health (BRCCH) and implemented in collaboration with the team of Dr. Andreas Müller from the University Hospital in Basel.
Infant Face Modeling
We build high-quality models of the human infant face and head learned from real datasets that are derived from the medical treatment of infants. Our AI-based solutions enable 3D patient modeling, visualization and simulation of malformation treatment. This facilitates treatment planning, decreases the burden on physicians and increases the satisfaction of patients.
Together with our research partner Dr. Andreas Müller from the University Hospital in Basel we focus on common craniofacial malformations observed in infants.
Publications
2025
Till N. Schnabel, Y. Lill, B. K. Benitez, G. Krief, S. Tapia Corón, F. Prüfer, P. Metzler, A. A. Mueller, M. Gross, B. Solenthaler
Multi-linear 3D Craniofacial Infant Shape Model
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 (Daejeon, Republic of South Korea, September 23-27, 2025), pp. 338-348
Available files:
[
PDF] [
Video] [
BibTeX]
[
Abstract]
Lasse Lingens, Y. Lill, P. Nalabothu, B. K. Benitez, A. A. Mueller, M. Gross, B. Solenthaler
Evaluation of synthetic training data for 3D intraoral reconstruction of cleft patients from single images
The 16th International Conference on Information Processing in Computer-Assisted Interventions (Berlin, Germany, May 24, 2025), International Journal of Computer Assisted Radiology and Surgery, vol. 20, no. 7, 2025, pp. 1471-1479
Available files:
[
PDF] [
BibTeX]
[
Abstract]
2024
Aleksandar Milojevic, D. Peter, N. Huber, L. Azevedo, A. Latyshev, I. Sailer, M. Gross, B. Thomaszewski, B. Solenthaler, B. Gözcü
AutoSkull: Learning-Based Skull Estimation for Automated Pipelines
Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024 (Marrakesh, Morocco, October 06-10, 2024), pp. 109-118
Available files:
[
PDF] [
Video] [
BibTeX]
[
Abstract]
Till N. Schnabel, Y. Lill, B. K. Benitez, P. Nalabothu, P. Metzler, A. A. Mueller, M. Gross, B. Gözcü, B. Solenthaler
Large-Scale 3D Infant Face Model
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 (Marrakesh, Morocco, October 06-10, 2024), pp. 217-227
Available files:
[
PDF] [
Video] [
BibTeX]
[
Abstract]
2023
L. Lingens, B. Gözcü, T. Schnabel, Y. Lill, B. K. Benitez, P. Nabalothu, A. A. Mueller, M. Gross, B. Solenthaler
Image-Based 3D Reconstruction of Cleft Lip And Palate Using a Learned Shape Prior
Proceedings of Applications of Medical Artificial Intelligence (AMAI) (Vancouver, Canada, October 08-12, 2023), pp. 94-103
Available files:
[
PDF] [
BibTeX]
[
Abstract]
T. N. Schnabel, B. Gözcü, P. Gotardo, L. Lingens, D. Dorda, F. Vetterli, A. Emhemmed, P. Nalabothu, Y. Lill, B. K. Benitez, A. A. Mueller, M. Gross, B. Solenthaler
Automated and Data-Driven Plate Computation for Presurgical Cleft Lip and Palate
International Journal of Computer Assisted Radiology and Surgery, , vol. 18, no. 6, 2023, pp. 1119-1125
Available files:
[
PDF][
PDF suppl.] [
Video] [
BibTeX]
[
Abstract]
2022
D. Dorda, D. Peter, D. Borer, N.B. Huber, I. Sailer, M. Gross, B. Solenthaler, B. Thomaszewski
Differentiable Simulation for Outcome-Driven Orthognathic Surgery Planning
Proceedings of the 2022 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (Durham, UK, September 13-15, 2022), pp. 53-61
Available files:
[
PDF] [
BibTeX]
[
Abstract]