1. 2018
  2. Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet

    Zyuzin, V., Sergey, P., Mukhtarov, A., Chumarnaya, T., Solovyova, O., Bobkova, A. & Myasnikov, V., 13 Jun 2018, Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc., p. 76-78 3 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  3. Automatic system for estimating the volume of the left ventricle based on two-dimensional MRI images of the heart along the long axis

    Porshnev, S. V., Bobkova, A. O., Zyuzin, V. V., Mukhtarov, A. A., Chernyshev, M. A. & Akhmetov, D. M., 30 Jan 2018, In: Journal of Physics: Conference Series. 944, 1, 12 p., 012092.

    Research output: Contribution to journalConference articlepeer-review

  4. 2017
  5. Usage of fully convolutional neural network for automation of extracting the left ventricle contour on the ultrasonic data images

    Mukhtarov, A. A., Zyuzin, V. V. & Bobkova, A. O., 1 Jan 2017, In: CEUR Workshop Proceedings. 2005, p. 75-82 8 p.

    Research output: Contribution to journalArticlepeer-review

  6. Estimation of Volume of the Left Ventricle on MRT-Images of a Two-Chamber Projection of Heart on a Short Axis Based on Deep Learning

    Porshnev, S. V., Bobkova, A. O., Zyuzin, V. V., Mukhtarov, A. A., Akhmetov, D. M. & Chernyshev, M. A., 2017, 2017 XI INTERNATIONAL IEEE SCIENTIFIC AND TECHNICAL CONFERENCE DYNAMICS OF SYSTEMS, MECHANISMS AND MACHINES (DYNAMICS). IEEE Computer Society, Vol. 2017-November. p. 1-5 5 p. (Dynamics of Systems Mechanisms and Machines).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  7. 2016
  8. Studying features characterizing signatures of medical contours of the left ventricle on ultrasound images

    Zyuzin, V. V., Porshnev, S. V., Bobkova, A. O. & Bobkov, V. V., 1 Jul 2016, In: Pattern Recognition and Image Analysis. 26, 3, p. 665-672 8 p.

    Research output: Contribution to journalArticlepeer-review

  9. Experience of using of machine learning methods to identify the left ventricle region in echocardiographic records

    Bobkova, A. O., Zyuzin, V. V., Porshnev, S. V. & Bobkov, V. V., 2016, Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 841-844 7991826

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  10. The application of decision trees algorithm for selecting the area of the left ventricle on echocardiographic images

    Zyuzin, V. V., Bobkova, A. O., Porshnev, S. V., Mukhtarov, A. A. & Bobkov, V. V., 2016, First International Workshop on Pattern Recognition. SPIE, Vol. 10011. 100110I

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  11. The application of ensemble learning for delineation of the left ventricle on echocardiographic records

    Bobkov, V., Bobkova, A., Porshnev, S. & Zuzin, V., 2016, 2016 Dynamics of Systems, Mechanisms and Machines, Dynamics 2016. Institute of Electrical and Electronics Engineers Inc., 7818984

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  12. The study of applicability of the decision tree method for contouring of the left ventricle area in echographic video data

    Porshnev, S. V., Mukhtarov, A. A., Bobkova, A. O., Zyuzin, V. V. & Bobkov, V., 2016, In: CEUR Workshop Proceedings. 1710, p. 248-258 11 p.

    Research output: Contribution to journalArticlepeer-review

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