Patents by Inventor Sergey GREBENKIN

Sergey GREBENKIN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • METHODS AND APPARATUSES FOR TREATMENT QUALITY ASSESSMENT
    Publication number: 20240108436
    Abstract: Methods and apparatuses (e.g., system, including software) for processing dental workflows. In particular, described herein are methods and apparatuses for processing dental treatment plan for aligning a patient's teeth when a dental professional submits a patient-specific prescription for a series of dental aligners.
    Type: Application
    Filed: October 3, 2023
    Publication date: April 4, 2024
    Inventors: Sergey GREBENKIN, Victoria BOGINA, Amarendra THUMMETI, Mitra DERAKHSHAN, Jeeyoung CHOI, Christopher E. CRAMER, Zalina NURMUKHAMETOVA, IIfat SABIROV
  • Machine learning dental segmentation methods using sparse voxel representations
    Patent number: 11903793
    Abstract: Methods for automatically segmenting a 3D model of a patient's teeth may include scanning a patient's dentition and converting the scan data into a 3D model, including a sparse voxel representation of the 3D model. Features can be extracted from the sparse voxel representation of the 3D model and input into a machine learning model to train the machine learning model to segment the 3D model into individual dental components.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: February 20, 2024
    Assignee: Align Technology, Inc.
    Inventors: Christopher E. Cramer, Roman Gudchenko, Dmitrii Ischeykin, Vasily Paraketsov, Sergey Grebenkin, Denis Durdin, Dmitry Guskov, Nikolay Zhirnov, Mikhail Gorodilov, Ivan Potapenko, Anton Baskanov, Elizaveta Ulianenko, Alexander Vovchenko, Roman Solovyev, Aleksandr Sergeevich Karsakov, Aleksandr Anikin, Mikhail Toporkov
  • SEGMENTATION QUALITY ASSESSMENT
    Publication number: 20240016577
    Abstract: Methods and systems for improving segmentation of a digital model of a patient's dentition into component teeth.
    Type: Application
    Filed: July 12, 2023
    Publication date: January 18, 2024
    Inventors: Roman A. ROSCHIN, Evgenii Vladimirovich KARNYGIN, Sergey GREBENKIN, Dmitry GUSKOV, Dmitrii ISCHEYKIN, Ivan POTAPENKO, Denis DURDIN, Roman GUDCHENKO, Vasily PARAKETSOV, Mikhail GORODILOV, Roman SOLOVYEV, Alexey VLADYKIN, Alexander BELIAEV, Alexander VOVCHENKO
  • AUTOMATIC ECTOPIC TEETH DETECTION ON SCAN
    Publication number: 20230372063
    Abstract: Provided herein are orthodontic devices and methods for patients with missing or ectopic teeth. Methods and processes are provided to properly number the teeth of a patient's arch after a dental scan. Methods and processes are also provided to automatically detect missing or ectopic teeth after a dental scan. Methods of designing and manufacturing the aligner are also provided.
    Type: Application
    Filed: July 31, 2023
    Publication date: November 23, 2023
    Inventors: Roman A. ROSCHIN, Evgenii Vladimirovich KARNYGIN, Sergey GREBENKIN, Alexey LAZAREV, Dmitry GUSKOV, Ivan SLEPYNIN, Alexey VLADYKIN, Alexander VOVCHENKO, Alexander BELIAEV
  • MOLAR TRIMMING PREDICTION AND VALIDATION USING MACHINE LEARNING
    Publication number: 20230320824
    Abstract: Provided herein are systems and methods for determining if a 3D tooth model requires trimming or removal of incomplete or missing data (e.g., gingiva covering a portion of a tooth such as a molar). A patient's dentition may be scanned and/or segmented. Raw dental features, principal component analysis (PCA) features, and/or other features may be extracted and compared to those of other teeth, such as those obtained through automated machine learning systems. A classifier can identify and/or output probability that the 3D tooth model requires trimming. Trimming of the 3D tooth model can be implemented without human intervention.
    Type: Application
    Filed: April 13, 2023
    Publication date: October 12, 2023
    Inventors: Roman A. ROSCHIN, Evgenii Vladimirovich KARNYGIN, Sergey GREBENKIN, Dmitry GUSKOV, Dmitrii ISCHEYKIN, Ivan POTAPENKO, Denis DURDIN, Roman GUDCHENKO, Vasily PARAKETSOV, Mikhail GORODILOV, Alexey VLADYKIN, Roman SOLOVYEV, Alexander BELIAEV, Elizaveta ULIANENKO, Leonid TROFIMOV, Anzhelika SON, Nikolay ZHIRNOV, Alexander Novchenko
  • Automatic ectopic teeth detection on scan
    Patent number: 11751974
    Abstract: Provided herein are orthodontic devices and methods for patients with missing or ectopic teeth. Methods and processes are provided to properly number the teeth of a patient's arch after a dental scan. Methods and processes are also provided to automatically detect missing or ectopic teeth after a dental scan. Methods of designing and manufacturing the aligner are also provided.
    Type: Grant
    Filed: October 11, 2021
    Date of Patent: September 12, 2023
    Assignee: Align Technology, Inc.
    Inventors: Roman A. Roschin, Evgenii Vladimirovich Karnygin, Sergey Grebenkin, Alexey Lazarev, Dmitry Guskov, Ivan Slepynin, Alexey Vladykin, Alexander Vovchenko, Alexander Beliaev
  • Segmentation quality assessment
    Patent number: 11707344
    Abstract: Methods and systems for improving segmentation of a digital model of a patient's dentition into component teeth.
    Type: Grant
    Filed: March 29, 2020
    Date of Patent: July 25, 2023
    Assignee: Align Technology, Inc.
    Inventors: Roman A. Roschin, Evgenii Vladimirovich Karnygin, Sergey Grebenkin, Dmitry Guskov, Dmitrii Ischeykin, Ivan Potapenko, Denis Durdin, Roman Gudchenko, Vasily Paraketsov, Mikhail Gorodilov, Roman Solovyev, Alexey Vladykin, Alexander Beliaev, Alexander Vovchenko
  • Molar trimming prediction and validation using machine learning
    Patent number: 11654001
    Abstract: Provided herein are systems and methods for determining if a 3D tooth model requires trimming or removal of incomplete or missing data (e.g., gingiva covering a portion of a tooth such as a molar). A patient's dentition may be scanned and/or segmented. Raw dental features, principal component analysis (PCA) features, and/or other features may be extracted and compared to those of other teeth, such as those obtained through automated machine learning systems. A classifier can identify and/or output probability that the 3D tooth model requires trimming. Trimming of the 3D tooth model can be implemented without human intervention.
    Type: Grant
    Filed: October 4, 2019
    Date of Patent: May 23, 2023
    Assignee: Align Technology, Inc.
    Inventors: Roman A. Roschin, Evgenii Vladimirovich Karnygin, Sergey Grebenkin, Dmitry Guskov, Dmitrii Ischeykin, Ivan Potapenko, Denis Durdin, Roman Gudchenko, Vasily Paraketsov, Mikhail Gorodilov, Alexey Vladykin, Roman Solovyev, Alexander Beliaev, Elizaveta Ulianenko, Leonid Trofimov, Anzhelika Son, Nikolay Zhirnov, Alexander Vovchenko
  • AUTOMATIC ECTOPIC TEETH DETECTION ON SCAN
    Publication number: 20220023004
    Abstract: Provided herein are orthodontic devices and methods for patients with missing or ectopic teeth. Methods and processes are provided to properly number the teeth of a patient's arch after a dental scan. Methods and processes are also provided to automatically detect missing or ectopic teeth after a dental scan. Methods of designing and manufacturing the aligner are also provided.
    Type: Application
    Filed: October 11, 2021
    Publication date: January 27, 2022
    Inventors: Roman A. ROSCHIN, Evgenii Vladimirovich KARNYGIN, Sergey GREBENKIN, Alexey LAZAREV, Dmitry GUSKOV, Ivan SLEPYNIN, Alexey VLADYKIN, Alexander VOVCHENKO, Alexander BELIAEV
  • Automatic ectopic teeth detection on scan
    Patent number: 11154381
    Abstract: Provided herein are orthodontic devices and methods for patients with missing or ectopic teeth. Methods and processes are provided to properly number the teeth of a patient's arch after a dental scan. Methods and processes are also provided to automatically detect missing or ectopic teeth after a dental scan. Methods of designing and manufacturing the aligner are also provided.
    Type: Grant
    Filed: May 8, 2019
    Date of Patent: October 26, 2021
    Assignee: Align Technology, Inc.
    Inventors: Roman A. Roschin, Evgenii Vladimirovich Karnygin, Sergey Grebenkin, Alexey Lazarev, Dmitry Guskov, Ivan Slepynin, Alexey Vladykin, Alexander Vovchenko, Alexander Beliaev
  • MACHINE LEARNING DENTAL SEGMENTATION SYSTEM AND METHODS USING SPARSE VOXEL REPRESENTATIONS
    Publication number: 20210196434
    Abstract: Provided herein are systems and methods for automatically segmenting a 3D model of a patient's teeth. A patient's dentition may be scanned. The scan data may be converted into a 3D model, including a sparse voxel representation of the 3D model. Features can be extracted from the sparse voxel representation of the 3D model and input into a machine learning model to train the machine learning model to segment the 3D model into individual dental components.
    Type: Application
    Filed: December 30, 2020
    Publication date: July 1, 2021
    Inventors: Christopher E. CRAMER, Roman GUDCHENKO, Dmitrii ISCHEYKIN, Vasily PARAKETSOV, Sergey GREBENKIN, Denis DURDIN, Dmitry GUSKOV, Nikolay ZHIRNOV, Mikhail GORODILOV, Ivan POTAPENKO, Anton BASKANOV, Elizaveta BORD, Alexander VOVCHENKO, Roman SOLOVYEV, Aleksandr Sergeevich KARSAKOV, Aleksandr ANIKIN, Mikhail TOPORKOV
  • SEGMENTATION QUALITY ASSESSMENT
    Publication number: 20200306012
    Abstract: Methods and systems for improving segmentation of a digital model of a patient's dentition into component teeth.
    Type: Application
    Filed: March 29, 2020
    Publication date: October 1, 2020
    Inventors: Roman A. ROSCHIN, Evgenii Vladimirovich KARNYGIN, Sergey GREBENKIN, Dmitry GUSKOV, Dmitrii ISCHEYKIN, Ivan POTAPENKO, Denis DURDIN, Roman GUDCHENKO, Vasily PARAKETSOV, Mikhail GORODILOV, Roman SOLOVYEV, Alexey VLADYKIN, Alexander BELIAEV, Alexander VOVCHENKO
  • MOLAR TRIMMING PREDICTION AND VALIDATION USING MACHINE LEARNING
    Publication number: 20200107915
    Abstract: Provided herein are systems and methods for determining if a 3D tooth model requires trimming or removal of incomplete or missing data (e.g., gingiva covering a portion of a tooth such as a molar). A patient's dentition may be scanned and/or segmented. Raw dental features, principal component analysis (PCA) features, and/or other features may be extracted and compared to those of other teeth, such as those obtained through automated machine learning systems. A classifier can identify and/or output probability that the 3D tooth model requires trimming. Trimming of the 3D tooth model can be implemented without human intervention.
    Type: Application
    Filed: October 4, 2019
    Publication date: April 9, 2020
    Inventors: Roman A. ROSCHIN, Evgenii Vladimirovich KARNYGIN, Sergey GREBENKIN, Dmitry GUSKOV, Dmitrii ISCHEYKIN, Ivan POTAPENKO, Denis DURDIN, Roman GUDCHENKO, Vasily PARAKETSOV, Mikhail GORODILOV, Alexey VLADYKIN, Roman SOLOVYEV, Alexander BELIAEV, Elizaveta ULIANENKO, Leonid TROFIMOV, Anzhelika SON, Nikolay ZHIRNOV, Alexander VOVCHENKO
  • AUTOMATIC ECTOPIC TEETH DETECTION ON SCAN
    Publication number: 20190343601
    Abstract: Provided herein are orthodontic devices and methods for patients with missing or ectopic teeth. Methods and processes are provided to properly number the teeth of a patient's arch after a dental scan. Methods and processes are also provided to automatically detect missing or ectopic teeth after a dental scan. Methods of designing and manufacturing the aligner are also provided.
    Type: Application
    Filed: May 8, 2019
    Publication date: November 14, 2019
    Inventors: Roman A. ROSCHIN, Evgenii Vladimirovich KARNYGIN, Sergey GREBENKIN, Alexey LAZAREV, Dmitry GUSKOV, Ivan SLEPYNIN, Alexey VLADYKIN, Alexander VOVCHENKO, Alexander BELIAEV