Company Filing History:
Years Active: 2021-2024
Title: Innovations by Aleksandr Anikin in Dental Technology
Introduction
Aleksandr Anikin is a notable inventor based in Moscow, Russia. He has made significant contributions to the field of dental technology, particularly through his innovative use of machine learning in dental segmentation methods. With a total of three patents to his name, Anikin is recognized for his advancements that enhance dental imaging and evaluation.
Latest Patents
Anikin's latest patents include "Machine learning dental segmentation methods using sparse voxel representations." This invention involves methods for automatically segmenting a 3D model of a patient's teeth by scanning the dentition and converting the scan data into a 3D model. The process includes extracting features from the sparse voxel representation of the model and utilizing a machine learning model to segment the 3D model into individual dental components. Another significant patent is "Deep learning for tooth detection and evaluation." This method processes an image of a patient's face, which includes a depiction of teeth, using trained machine learning models. The output is a pixel-level classification that helps in cropping the image to focus on the teeth for further evaluation.
Career Highlights
Aleksandr Anikin is currently employed at Align Technology, Inc., a company known for its innovative dental products and technologies. His work at Align Technology has allowed him to apply his expertise in machine learning to real-world dental applications, significantly improving the accuracy and efficiency of dental assessments.
Collaborations
Anikin collaborates with several talented individuals in his field, including Mikhail Toporkov and Aleksandr Sergeevich Karsakov. These collaborations foster a creative environment that encourages the development of cutting-edge technologies in dental care.
Conclusion
Aleksandr Anikin's contributions to dental technology through his innovative patents demonstrate the potential of machine learning in enhancing dental practices. His work continues to influence the field, paving the way for future advancements in dental imaging and evaluation.