Active Projects:
- Digitized Rhinoplasty: The goal of our multi-disciplinary team, consisting of rhinoplasty surgeons and computer scientists, is to digitize the rhinoplasty by novel methodologies for pre-surgery planning, intra-operative guidance, and post-surgery evaluations. Please visit for more information: http://digitized-rhinoplasty.com/ Some of our projects related to rhinoplasty are listed below:
- Developing a Novel Ensemble Machine Learning Model to Improve the Accuracy of Landmark Detection on 3D Facial Models
- Programmatically Generating 3D Facial Datasets in Large Quantities
- Utilizing Machine Learning for Objectively Assessing the Outcomes of Facial Surgeries
- Hierarchical Task Analysis and the Time Spent for Each Task in Rhinoplasty
- Novel Area and Volume Measurements for Rhinoplasty
- Benchmark and Dataset to Generate 3D Datasets for Deep Learning Application of Facial Recognition
- Mobile App for 3D Face Scans
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Developing Project:
- Applications of Deep Learning on Neuroradiology
Previous Projects:
- Augmented Reality to Improve Success of Medical Surgeries: Aimed at identifying how AR can help surgeons to achieve better results by providing instant access to patient information such as vital signs, CT scans, x-rays, etc., and other general guidance about the surgery being performed.
- Augmented Reality to Teach Foreign Language: The goal is to develop methodologies for teaching a foreign language to children utilizing augmented reality.