Hristina Uzunova

Research output

Research Output per year 2017 2017 2019 2020 2021 2022 2022

• 12 Conference contribution
• 5 Journal articles
• 1 Books
• 1 Chapter
• 2 More
  • 1 Abstracts
  • 1 Conference Papers

Research Output per year

Research Output per year

Search results

• 2022

  A Comparison of Feature Extraction Models for Medical Image Captioning

  Germer, S., Uzunova, H., Ehrhardt, J., Feldhus, N., Thomas, P. & Handels, H., 19.08.2022.

  Research output: Contribution to conference › Abstracts › peer-review

  • Feature extraction 100%
  • X rays 88%
  • Classifiers 45%
  • Ethical aspects 42%
  • Recurrent neural networks 33%

• A systematic comparison of generative models for medical images

  Uzunova, H., Wilms, M., Forkert, N. D., Handels, H. & Ehrhardt, J., 07.2022, In: International Journal of Computer Assisted Radiology and Surgery. 17, 7, p. 1-12 12 p., 7.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Deep Learning 100%
  • Statistical Models 40%

• Image registration and appearance adaptation in non-correspondent image regions for new MS lesions detection

  Andresen, J., Uzunova, H., Ehrhardt, J., Kepp, T. & Handels, H., 07.09.2022, In: Frontiers in Neuroscience. 16, 981523.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Image registration 100%
  • Convolutional neural networks 40%

• Proposal of Semantic Annotation for German Metadata Using Bidirectional Recurrent Neural Networks

  Ulrich, H., Uzunova, H., Handels, H. & Ingenerf, J., 25.05.2022, In: Studies in Health Technology and Informatics. 294, p. 357-361 5 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Metadata 100%
  • Semantics 70%
  • Unified Medical Language System 56%
  • Medical Subject Headings 47%
  • Machine Learning 38%
• 2021

  Deep-Learning-Based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization

  Fleitmann, M., Uzunova, H., Stroth, A. M., Gerlach, J., Fürschke, A., Barkhausen, J., Bischof, A. & Handels, H., 2021, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Springer Science and Business Media Deutschland GmbH, p. 315-322 8 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; vol. 362 LNICST).

  Research output: Chapters in Books/Reports/Conference Proceedings › Chapter › peer-review

• Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders

  Uzunova, H., Handels, H. & Ehrhardt, J., 2021, 12 p. (Proceedings of Machine Learning Research-Under Review)

  Research output: Books/Anthologies/Proceedings/Theses › Books › peer-review

  • Medical imaging 100%
  • Pixels 66%
  • Experiments 31%

• New Multiple Sclerosis Lesion Detection with Convolutional Neural Registration Networks

  Andresen, J., Uzunova, H., Ehrhardt, J. & Handels, H., 2021, p. 111-114.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2020

  Abstract: Multi-Scale GANs for Memory-Effcient Generation of High Resolution Medical Images

  Uzunova, H., Ehrhardt, J., Jacob, F., Frydrychowicz, A. & Handels, H., 12.02.2020, Bildverarbeitung für die Medizin 2020. Tolxdorff, T., Deserno, T. M., Handels, H., Maier, A. & Maier-Hein, K. H. (eds.). Wiesbaden: Springer Vieweg, Wiesbaden, p. 286-286 1 p. (Informatik aktuell).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Data storage equipment 100%
  • Image reconstruction 84%
  • Image analysis 78%

• Deep-Learning-Based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization

  Fleitmann, M., Uzunova, H., Stroth, A. M., Gerlach, J., Fürschke, A., Barkhausen, J., Bischof, A. & Handels, H., 2020, MobiHealth 2020: Wireless Mobile Communication and Healthcare. Ye, J., M. J. OG., Civitarese, G. & Yordanova, K. (eds.). Springer, Cham, p. 315-322 8 p. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Deep learning 100%
  • Angiography 97%
  • Health risks 48%
  • Neural networks 22%
  • Experiments 13%

• Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks

  Uzunova, H., Ehrhardt, J. & Handels, H., 29.09.2020, MICCAI 2020: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. L. Martel, A., Abolmaesumi, P., Stoyanov, D., Mateus, D., A. Zuluaga, M., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer, Cham, p. 501-511 11 p. (Lecture Notes in Computer Science).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Pathology 100%
  • Magnetic resonance imaging 92%
  • Tumors 90%
  • Tissue 74%
  • Brain 72%

• Memory-efficient GAN-based domain translation of high resolution 3D medical images

  Uzunova, H., Ehrhardt, J. & Handels, H., 12.2020, In: Computerized Medical Imaging and Graphics. 86, 101801.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Memory 100%
  • Artifacts 88%
  • Thorax 31%
  • Brain 22%

• Quantitative comparison of generative shape models for medical images

  Uzunova, H., Kaftan, P., Wilms, M., Forkert, N. D., Handels, H. & Ehrhardt, J., 12.02.2020, Bildverarbeitung für die Medizin 2020. Tolxdorff, T., M. Deserno, T., Handels, H., Maier, A., Maier-Hein, K. H. & Palm, C. (eds.). Springer Vieweg, Wiesbaden, p. 201-207 7 p. (Informatik aktuell).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Deep learning 100%
  • Image analysis 35%
  • X rays 33%
  • Experiments 13%
• 2019

  Evaluation of Image Processing Methods for Clinical Applications: Mimicking Clinical Data Using Conditional GANs

  Uzunova, H., Schultz, S., Handels, H. & Ehrhardt, J., 01.01.2019, Bildverarbeitung für die Medizin 2019. Springer Verlag, p. 15-20 6 p. (Informatik aktuell).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Image processing 100%
  • Topology 86%
  • Image registration 71%
  • Magnetic resonance imaging 67%
  • Brain 52%

• Interpretable Explanations of Black Box Classifiers Applied on Medical Images by Meaningful Perturbations Using Variational Autoencoders

  Uzunova, H., Ehrhardt, J., Kepp, T. & Handels, H., 15.03.2019, Medical Imaging 2019: Image Processing. SPIE, Vol. 10949. p. 1094911-1 – 1094911-8 8 p. (Proceedings of SPIE).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Pathology 100%
  • Classifiers 62%
  • Optical tomography 40%
  • Neural networks 35%
  • Magnetic resonance imaging 30%

• Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images

  Uzunova, H., Ehrhardt, J., Jacob, F., Frydrychowicz, A. & Handels, H., 10.10.2019, MICCAI 2019: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Shen, D., Liu, T., M. Peters, T., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Cham: Springer Verlag, Vol. 11769. p. 112-120 9 p. (Lecture Notes in Computer Science ; vol. 11769 LNCS).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Graphics processing unit 100%
  • Image quality 99%
  • X rays 97%
  • Data storage equipment 65%

• Unsupervised pathology detection in medical images using conditional variational autoencoders

  Uzunova, H., Schultz, S., Handels, H. & Ehrhardt, J., 14.03.2019, In: International Journal of Computer Assisted Radiology and Surgery. 14, 3, p. 451-461 11 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Pathology 100%
  • Datasets 35%
  • Machine Learning 25%
  • Area Under Curve 18%
  • Learning 16%
• 2018

  Temporal Polyrigid Registration for Patch-based MPI Reconstruction of Moving Objects

  Ehrhardt, J., Ahlborg, M., Uzunova, H., Buzug, T. M. & Handels, H., 22.03.2018, 9th International Workschop on Magnetic Particle Imaging (IWMPI 2019). Knopp, T. & Buzug, T. (eds.). Infinite Science Publishing, p. 1-7 7 p. (International Workschop on Magnetic Particle Imaging).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Imaging techniques 100%
  • Image reconstruction 67%
  • Experiments 23%

• Unsupervised pathology detection in medical images using learning-based methods

  Uzunova, H., Handels, H. & Ehrhardt, J., 01.01.2018, Bildverarbeitung für die Medizin 2018. Maier, A., Deserno, T. M., Handels, H., Maier-Hein, K. H., Palm, C. & Tolxdorff, T. (eds.). 211279 ed. Springer Vieweg, Berlin Heidelberg, p. 61-66 6 p. (Informatik aktuell).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Pathology 100%
  • Tumors 36%
  • Brain 29%
  • Machine learning 12%
• 2017

  Groupwise Affine Registration of Medical Images with Missing Correspondences

  Uzunova, H., Handels, H. & Ehrhardt, J., 07.03.2017, Student Conference Proceedings 2017. Buzug, T. M. & Handels, H. (eds.). Lübeck: Infinite Science Publishing, p. 213-216 4 p. (Student Conference Proceedings).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Robust Groupwise Affine Registration of Medical Images with Stochastic Optimization

  Uzunova, H., Handels, H. & Ehrhardt, J., 01.03.2017, Bildverarbeitung für die Medizin 2017. Maier-Hein, K. H., Deserno, T. M., Handels, H. & Tolxdorff, T. (eds.). Springer Vieweg, Berlin Heidelberg, p. 62-67 6 p. (Informatik aktuell).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Pathology 100%
  • Image registration 98%
  • Program processors 74%
  • Decomposition 63%
  • Experiments 31%

• Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation

  Uzunova, H., Wilms, M., Handels, H. & Ehrhardt, J., 04.09.2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I. Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D. L. & Duchesne, S. (eds.). Springer International Publishing, p. 223 - 231 9 p. (Lecture Notes in Computer Science)(Image Processing, Computer Vision, Pattern Recognition, and Graphics).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Image registration 100%
  • Convolutional neural networks 81%
  • Medical applications 20%
  • Optical flows 19%
  • Computer vision 15%