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  1. 2017

  2. 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 journal › Article › peer-review

  3. 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 proceeding › Conference contribution › peer-review

  4. The usage of optical flow algorithm to the problem of recovery contour of the left ventricle of the human heart on the ultrasound image data

    Mukhtarov, A. A., Porshnev, S. V., Zyuzin, V. V., Bobkova, A. O. & Labutina, Anastasia A, 2017, In: CEUR Workshop Proceedings. 1814, p. 91-97 7 p.

    Research output: Contribution to journal › Article › peer-review

  5. 2016

  6. 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 journal › Article › peer-review

  7. 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 proceeding › Conference contribution › peer-review

  8. 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 proceeding › Conference contribution › peer-review

  9. 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 proceeding › Conference contribution › peer-review

  10. 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 journal › Article › peer-review

  11. 2015

  12. Study of the mass center motion of the left ventricle area in echocardiographic videos

    Porshnev, S. V., Mukhtarov, A. A., Bobkova, A. O., Zyuzin, V. V. & Bobkov, V. V., 2015, CEUR Workshop Proceedings. CEUR-WS, Vol. 1452. p. 137-142 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  13. 2014

  14. The analysis of results of the left ventricle contouring using automatic algorithm on ultrasound images for patients with pathologies

    Bobkova, A. O., Porshnev, S. V., Zuzin, V. V. & Bobkov, V. V., 1 Jan 2014, CriMiCo 2014 - 2014 24th International Crimean Conference Microwave and Telecommunication Technology, Conference Proceedings. p. 1073-1074 2 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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