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Lev Barinov

from Montclair, NJ
Age ~37
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Also known as:
Leo Barinov, Lev Barinova
Related to:
Helena Barinova, 73Elv Barinov, 37Sergey E Barinov, 46
Connected to:
Kimberly A Barinowski, 59Maria Barinova, 30Norbert Barinstein, 82Jose Barios, 41Jefferson R Barioto, 42Phillip P Bariquit, 57Albert J Baris, 70Can S Baris, 33Janet M Baris, 30

Lev Barinov Phones & Addresses

  • Montclair, NJ
  • Bloomfield, NJ
  • North Brunswick, NJ
  • Morristown, NJ
  • Iselin, NJ

Business Records

Name / Title
Company / Classification
Phones & Addresses
Lev Barinov
Principal
Barson Development LLC
Subdivider/Developer
317 Louis St, New Brunswick, NJ 08902
(732) 422-2638

Publications

Us Patents

System And Method For Noise Reduction And Signal Enhancement Of Coherent Imaging Systems

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US Patent:
20140066767, Mar 6, 2014
Filed:
Aug 31, 2013
Appl. No.:
14/016078
Inventors:
Richard Mammone - Warren NJ, US
Christine Podilchuk - Warren NJ, US
Lev Barinov - North Brunswick NJ, US
William Hulbert - Somerset NJ, US
Assignee:
Clearview Diagnostics, Inc. - Warren NJ
Rutgers, The State University of New Jersey - New Brunswick NJ
International Classification:
A61B 8/08
A61B 8/00
US Classification:
600442, 600443, 600437
Abstract:
A system and method of processing an ultrasound signal may include, in response to receiving a set of complex frequency samples of the ultrasound signal inclusive of content data and noise at a first noise level and being used to image an anatomical region of a body, resampling multiple subsets of complex frequency samples from the set of complex frequency samples. The resampled subsets of complex frequency samples may be resampled from a first domain into a second domain. The transformed resampled subsets of complex frequency samples may be combined in the second domain to produce a result signal with a second noise level reduced from the first noise level. An image derived from the result signal may be displayed.

Method And Means Of Cad System Personalization To Reduce Intraoperator And Interoperator Variation

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US Patent:
20200184635, Jun 11, 2020
Filed:
Jul 1, 2019
Appl. No.:
16/458855
Inventors:
- New York City NY, US
Ajit JAIRAJ - Edison NJ, US
Lev BARINOV - North Brunswick NJ, US
William HULBERT - Somerset NJ, US
Richard MAMMONE - Warren NJ, US
Assignee:
Koios Medical, Inc. - New York City NY
International Classification:
G06T 7/00
G06T 7/11
G06K 9/62
Abstract:
A system and method is disclosed to reduce variation of the clinical decision making process when an image reporting and data system (IRADS) for medical diagnosis is used. Image reporting and data systems provide guidelines for an operator to identify images as belonging to one of a number of categories and specific clinical actions are then recommended based upon such categories. Some clinical actions such as biopsies may be recommended by IRADS even when they are not necessary. The present inventive concept is configured to utilize a Computer-Assisted Diagnosis (CAD) system that is specifically programmed to minimize discrepancies between the recommended clinical actions of an individual or specific group of experts using the standard IRADS process and the optimum clinical actions based on correlation with biopsy proven data. The resulting CAD system reduces the number of unnecessary clinical actions such as biopsies based on the operator's error profile.

Method And System Of Computer-Aided Detection Using Multiple Images From Different Views Of A Region Of Interest To Improve Detection Accuracy

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US Patent:
20200175684, Jun 4, 2020
Filed:
Jul 8, 2019
Appl. No.:
16/504940
Inventors:
- New York City NY, US
Ajit JAIRAJ - Edison NJ, US
Lev BARINOV - North Brunswick NJ, US
William HULBERT - Somerset NJ, US
Richard MAMMONE - Warren NJ, US
Assignee:
Koios Medical, Inc. - New York City NY
International Classification:
G06T 7/00
G06T 7/223
Abstract:
A system and method of computer-aided detection (CAD or CADe) of medical images that utilizes persistence between images of a sequence to identify regions of interest detected with low interference from artifacts to reduce false positives and improve probability of detection of true lesions, thereby providing improved performance over static CADe methods for automatic ROI lesion detection.

Method And Means Of Cad System Personalization To Provide A Confidence Level Indicator For Cad System Recommendations

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US Patent:
20190223845, Jul 25, 2019
Filed:
Aug 11, 2017
Appl. No.:
16/324835
Inventors:
- New York NY, US
Ajit JAIRAJ - Piscataway NJ, US
Lev BARINOV - Piscataway NJ, US
William HULBERT - Piscataway NJ, US
Richard MAMMONE - Piscataway NJ, US
Assignee:
Koios Medical, Inc. - New York NY
International Classification:
A61B 10/00
G06T 7/00
G16H 50/20
G06K 9/62
Abstract:
A method and means to utilize machine learning to train a device to generate a confidence level indicator (CLI). The device is a CAD system that has been initially trained using initial machine learning to recommend classifications for image features presented to the device. Probabilistic classification is utilized to incorporate intermediate values given by a human operator to better indicate a level of confidence of the CAD system's recommendations as to what classes should be associated with certain image features.

Method And System Of Computer-Aided Detection Using Multiple Images From Different Views Of A Region Of Interest To Improve Detection Accuracy

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US Patent:
20180053300, Feb 22, 2018
Filed:
Oct 31, 2016
Appl. No.:
15/338707
Inventors:
- Piscataway Township NJ, US
Ajit Jairaj - Edison NJ, US
Lev Barinov - North Brunswick NJ, US
William Hulbert - Somerset NJ, US
Richard Mammone - Warren NJ, US
Assignee:
Clearview Diagnostics Inc. - Piscataway Township NJ
International Classification:
G06T 7/00
G06T 7/20
Abstract:
A system and method of computer-aided detection (CAD or CADe) of medical images that utilizes persistence between images of a sequence to identify regions of interest detected with low interference from artifacts to reduce false positives and improve probability of detection of true lesions, thereby providing improved performance over static CADe methods for automatic ROI lesion detection.

Method And Means Of Cad System Personalization To Reduce Intraoperator And Interoperator Variation

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US Patent:
20170200266, Jul 13, 2017
Filed:
Jul 1, 2016
Appl. No.:
15/200719
Inventors:
- Piscataway NJ, US
Ajit Jairaj - Piscataway NJ, US
Lev Barinov - Piscataway NJ, US
William Hulbert - Piscataway NJ, US
Richard Mammone - Piscataway NJ, US
International Classification:
G06T 7/00
Abstract:
A system and method is disclosed to reduce variation of the clinical decision making process when an image reporting and data system (IRADS) for medical diagnosis is used. Image reporting and data systems provide guidelines for an operator to identify images as belonging to one of a number of categories and specific clinical actions are then recommended based upon such categories. Some clinical actions such as biopsies may be recommended by IRADS even when they are not necessary. The present inventive concept is configured to utilize a Computer-Assisted Diagnosis (CAD) system that is specifically programmed to minimize discrepancies between the recommended clinical actions of an individual or specific group of experts using the standard IRADS process and the optimum clinical actions based on correlation with biopsy proven data. The resulting CAD system reduces the number of unnecessary clinical actions such as biopsies based on the operator's error profile.
Control profile
Lev Barinov from Montclair, NJ, age ~37 Get Report