Short CV

Gurbandurdy Dovletov, M.Sc., has been working as a research assistant and PhD student at the Chair of Intelligent Systems in Computer Science at the University of Duisburg-Essen since 2018. He received his Bachelor's degree in Computer Systems and Software Engineering from Almaty University of Power Engineering and Telecommunications in 2012. In 2018, he received his Master's degree in Embedded Systems Engineering from the University of Duisburg-Essen.

Research

The core of his current research interests are attention mechanisms that enable Artificial Intelligence to learn better and more efficiently. Supervised/unsupervised learning and generative approaches play a key role here. He is particularly interested in the application of these methods in a medical context and in connection with industrial particle measurement technology.

Informatik / SE

Address
Bismarckstr. 90 (BC)
47057 Duisburg
Room
BC 414

Functions

  • Wissenschaftliche/r Mitarbeiter/in, Intelligente Systeme

The following publications are listed in the online university bibliography of the University of Duisburg-Essen. Further information may also be found on the person's personal web pages.

    Journal articles

  • Kavur, A. Emre; Gezer, N. Sinem; Barış, Mustafa; Aslan, Sinem; Conze, Pierre-Henri; Groza, Vladimir; Pham, Duc Duy; Chatterjee, Soumick; Ernst, Philipp; Özkan, Savaş; Baydar, Bora; Lachinov, Dmitry; Han, Shuo; Pauli, Josef; Isensee, Fabian; Perkonigg, Matthias; Sathish, Rachana; Rajan, Ronnie; Sheet, Debdoot; Dovletov, Gurbandurdy; Speck, Oliver; Nürnberger, Andreas; Maier-Hein, Klaus H.; Bozdağı Akar, Gözde; Ünal, Gözde; Dicle, Oğuz; Selver, M. Alper
    CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
    In: Medical Image Analysis Vol. 69 (2021) pp. 101950
  • Book articles / Proceedings papers

  • Dovletov, Gurbandurdy; Karadeniz, Utku; Lörcks, Stefan; Pauli, Josef; Gratz, Marcel; Quick, Harald H.
    Bone-Aware Generative Adversarial Network with Supervised Attention Mechanism for MRI-Based Pseudo-CT Synthesis
    In: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOIMAGING 2024) / 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOIMAGING 2024): Rome, Italy Vol. 1 2024, pp. 223 - 235
  • Dovletov, Gurbandurdy; Lörcks, Stefan; Pauli, Josef; Gratz, Marcel; Quick, Harald H.
    Double Grad-CAM Guidance for Improved MRI-based Pseudo-CT Synthesis
    In: Bildverarbeitung für die Medizin 2023: Proceedings / German Workshop on Medical Image Computing ; July 2-4, 2023, Braunschweig, Germany / Deserno, Thomas M.; Handels, Heinz; Maier, Andreas; Maier-Hein, Klaus; Palm, Christoph; Tolxdorff, Thomas (Eds.) 2023, pp. 45 - 50
  • Dovletov, Gurbandurdy; Karadeniz, Utku; Lörcks, Stefan; Pauli, Josef; Gratz, Marcel; Quick, Harald H.
    Learning to Pay Attention by Paying Attention : Attention U-Net with Extra Supervision for MRI-based Pseudo-CT Synthesis
    In: Image Analysis: Proceedings, Part II / 23rd Scandinavian Conference (SCIA 2023): Sirkka, Finland; 18–21 April 2023 / Gade, Rikke; Felsberg, Michael; Kämäräinen, Joni-Kristian (Eds.) 2023, pp. 229 - 242
  • Dovletov, Gurbandurdy; Pham, Duc Duy; Lörcks, Stefan; Pauli, Josef; Gratz, Marcel; Quick, Harald H.
    Grad-CAM Guided U-Net for MRI-based Pseudo-CT Synthesis
    In: Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) / 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 11-15 July 2022, Glasgow, Scotland 2022, pp. 2071 - 2075
  • Dovletov, Gurbandurdy; Pham, Duc Duy; Pauli, Josef; Gratz, Marcel; Quick, Harald H.
    Improved MRI-based Pseudo-CT Synthesis via Segmentation Guided Attention Networks
    In: Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOIMAGING): Volume 2 / 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOIMAGING), 9-11 February 2022, Online / Gracani, Denis; Fred, Ana; Gamboa, Hugo (Eds.) 2022, pp. 131 - 140
  • Pham, Duc Duy; Dovletov, Gurbandurdy; Pauli, Josef
    A Differentiable Convolutional Distance Transform Layer for Improved Image Segmentation
    In: Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28 – October 1, 2020, Proceedings / 42nd DAGM German Conference, 28.09.-01.10.2020, Tübingen / Akata, Zeynep; Geiger, Andreas; Sattler, Torsten (Eds.) 2021, pp. 432 - 444
  • Pham, Duc Duy; Koesnadi, S.M.; Dovletov, Gurbandurdy; Pauli, Josef
    Unsupervised adversarial domain adaptation for multi-label classification of chest x-Ray
    In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) / 18th International Symposium on Biomedical Imaging (ISBI) ; April 13-16, 2021, Nice, France 2021, pp. 1236 - 1240
  • Pham, Duc Duy; Dovletov, Gurbandurdy; Pauli, Josef
    Using anatomical priors for deep 3D one-shot segmentation
    In: BIOSTEC 2021 8th International Conference on Bioimaging; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies: Proceedings, Volume 2: Bioimaging / BIOIMAGING 2021 - 8th International Conference on Bioimaging; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021, 11.-13.02.2021, Virtual / Douplik, Alexandre; Fred, Ana; Gamboa, Hugo (Eds.) 2021, pp. 174 - 181
  • Pham, Duc Duy; Dovletov, Gurbandurdy; Pauli, Josef
    Liver Segmentation in CT with MRI Data : Zero-Shot Domain Adaptation by Contour Extraction and Shape Priors
    In: Proceedings - International Symposium on Biomedical Imaging / 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020; Iowa City; United States; 3 - 7 April 2020 Vol. April 2020, pp. 1538 - 1542
  • Pham, Duc Duy; Dovletov, Gurbandurdy; Serong, Sebastian; Landgraeber, Stefan; Jäger, Marcus; Pauli, Josef
    Multitask-learning for the extraction of avascular necrosis of the femoral head in MRI
    In: Bildverarbeitung für die Medizin 2020 / Algorithmen – Systeme – Anwendungen. Workshop vom 15. bis 17. März 2020 in Berlin / Tolxdorff, Thomas; Deserno, Thomas M.; Handels, Heinz; Maier, Andreas; Maier-Hein, Klaus H.; Palm, Christoph (Eds.) 2020, pp. 150 - 155
  • Pham, Duc Duy; Lausen, Melanie; Dovletov, Gurbandurdy; Serong, Sebastian; Landgraeber, Stefan; Jäger, Marcus; Pauli, Josef
    U-net in constraint few-shot settings : enforcing few-sample-fitting for faster convergence of u-net for femur segmentation in X-ray
    In: Bildverarbeitung für die Medizin 2020 / Algorithmen – Systeme – Anwendungen. Workshop vom 15. bis 17. März 2020 in Berlin / Tolxdorff, Thomas; Deserno, Thomas M.; Handels, Heinz; Maier, Andreas; Maier-Hein, Klaus H.; Palm, Christoph (Eds.) 2020, pp. 280 - 285
  • Pham, Duc Duy; Dovletov, Gurbandurdy; Warwas, Sebastian; Landgraeber, Stefan; Jäger, Marcus; Pauli, Josef
    Deep learning with anatomical priors : Imitating enhanced autoencoders in latent space for improved pelvic bone segmentation in MRI
    In: Proceedings of the 16th IEEE International Symposium on Biomedical Imaging / ISBI 2019; Venice; Italy; 8 - 11 April 2019 Vol. April 2019, pp. 1166 - 1169
  • Pham, Duc Duy; Dovletov, Gurbandurdy; Warwas, Sebastian; Landgraeber, Stefan; Jäger, Marcus; Pauli, Josef
    Deep segmentation refinement with result-dependent learning : A double U-net for hip joint segmentation in MRI
    In: Bildverarbeitung für die Medizin 2019: lgorithmen – Systeme – Anwendungen / Workshop vom 17. bis 19. März 2019 in Lübeck 2019, pp. 49 - 54
  • Pham, Duc Duy; Dovletov, Gurbandurdy; Warwas, Sebastian; Landgraeber, Stefan; Jäger, Marcus; Pauli, Josef
    Gradient-Based Expanding Spherical Appearance Models for Femoral Model Initialization in MRI
    In: Bildverarbeitung für die Medizin 2019: Algorithmen – Systeme – Anwendungen / Workshop vom 17. bis 19. März 2019 in Lübeck / Handels, Heinz; Deserno, Thomas M.; Maier, Andreas (Eds.) 2019, pp. 43 - 48
  • Dovletov, Gurbandurdy; Hegemann, Tobias; Pauli, Josef
    Spectral-Spatial Hyperspectral Image Classification Using Cascaded Convolutional Neural Networks
    In: Image Analysis: Proceedings / 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11–13, 2019 / Felsberg, Michael; Forssén, Per-Erik; Sintorn, Ida-Maria; Unger, Jonas (Eds.) 2019, pp. 78 - 89