The OMFS-IMPATH research group relates to the development and validation of surgical tools and image-based solutions to advance in oromaxillofacial surgery, with an ultimate aim to obtain an optimized treatment outcome while minimizing the peri- and postsurgical risks, such as neurovascular trauma.
In order to achieve this, global integration of digital datasets will enable the creation of a virtual replica of the patient. This may allow full simulation of the surgery as well as of its expected outcome. While the latter may help to further modify and finetune the planned surgery, the former integrated virtual data may allow presurgical simulations, development of image-based surgical tools, and navigation.
LATEST NEWS
19th European Congress of DentoMaxilloFacial Radiology
First Prize Oral Presentation
Bahaa Elgarba
Novel AI-Based Tool for Prosthetic Crown Segmentation Supporting Automated CBCT-IOS Registration in Challenging High Artifact Scenarios
Second Prize Oral Presentation
Marie Louise Slim
A novel convolutional neural network-based tool for automated segmentation of pulp cavity structures in single-rooted teeth using CBCT.
Honarable Mention
JOE Awards program
Multimodal Imaging of Dental Pulp Healing Patterns Following Tooth Autotransplantation and Regenerative Endodontic Treatment
Mostafa EzEldeen, Reinhilde Jacobs, et al.
2024 Awardee of the Ambassadors Programme of visit.brussels
IADMFR World Tour 2023
Reinhilde Jacobs
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The department consists of 9 research groups with a tight link to the clinical units in the university hospital.
Centre for Dentomaxillofacial Imaging
Department of Oral and Maxillofacial Surgery
Should you wish to support this research, you can contribute through donation. For more information click on the link below or contact Prof. dr. Reinhilde Jacobs