| Training CNNs for image registration from few samples with model-based data augmentation H Uzunova, M Wilms, H Handels, J Ehrhardt International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 138 | 2017 |
| Unsupervised pathology detection in medical images using conditional variational autoencoders H Uzunova, S Schultz, H Handels, J Ehrhardt International journal of computer assisted radiology and surgery 14, 451-461, 2019 | 96 | 2019 |
| Memory-efficient GAN-based domain translation of high resolution 3D medical images H Uzunova, J Ehrhardt, H Handels Computerized Medical Imaging and Graphics 86, 101801, 2020 | 53 | 2020 |
| Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders H Uzunova, J Ehrhardt, T Kepp, H Handels Medical Imaging 2019: Image Processing 10949, 264-271, 2019 | 45 | 2019 |
| Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images H Uzunova, J Ehrhardt, F Jacob, A Frydrychowicz, H Handels arXiv preprint arXiv:1907.01376, 2019 | 41 | 2019 |
| Generation of annotated brain tumor MRIs with tumor-induced tissue deformations for training and assessment of neural networks H Uzunova, J Ehrhardt, H Handels Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 16 | 2020 |
| Temporal polyrigid registration for patch-based MPI reconstruction of moving objects J Ehrhardt, M Ahlborg, H Uzunova, TM Buzug, H Handels International Journal on Magnetic Particle Imaging IJMPI 5 (1-2), 2019 | 10 | 2019 |
| A systematic comparison of generative models for medical images H Uzunova, M Wilms, ND Forkert, H Handels, J Ehrhardt International Journal of Computer Assisted Radiology and Surgery 17 (7 …, 2022 | 9 | 2022 |
| Unsupervised pathology detection in medical images using learning-based methods H Uzunova, H Handels, J Ehrhardt Bildverarbeitung für die Medizin 2018: Algorithmen-Systeme-Anwendungen …, 2018 | 9 | 2018 |
| Guided filter regularization for improved disentanglement of shape and appearance in diffeomorphic autoencoders H Uzunova, H Handels, J Ehrhardt Medical Imaging with Deep Learning, 774-786, 2021 | 8 | 2021 |
| Image registration and appearance adaptation in non-correspondent image regions for new ms lesions detection J Andresen, H Uzunova, J Ehrhardt, T Kepp, H Handels Frontiers in Neuroscience 16, 981523, 2022 | 4 | 2022 |
| Quantitative comparison of generative shape models for medical images H Uzunova, P Kaftan, M Wilms, ND Forkert, H Handels, J Ehrhardt Bildverarbeitung für die Medizin 2020: Algorithmen–Systeme–Anwendungen …, 2020 | 4 | 2020 |
| Synthesis of annotated pathological retinal OCT data with pathology-induced deformations H Uzunova, L Basso, J Ehrhardt, H Handels Medical Imaging 2022: Computer-Aided Diagnosis 12033, 922-927, 2022 | 3 | 2022 |
| Evaluation of Image Processing Methods for Clinical Applications: Mimicking Clinical Data Using Conditional GANs H Uzunova, S Schultz, H Handels, J Ehrhardt Bildverarbeitung für die Medizin 2019: Algorithmen–Systeme–Anwendungen …, 2019 | 3 | 2019 |
| Deep-learning-based feature encoding of clinical parameters for patient specific CTA dose optimization M Fleitmann, H Uzunova, AM Stroth, J Gerlach, A Fürschke, J Barkhausen, ... Wireless Mobile Communication and Healthcare: 9th EAI International …, 2021 | 2 | 2021 |
| Analysis of Generative Shape Modeling Approaches: Latent Space Properties and Interpretability H Uzunova, J Kruse, P Kaftan, M Wilms, ND Forkert, H Handels, ... Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021 | 2 | 2021 |
| Robust groupwise affine registration of medical images with stochastic optimization H Uzunova, H Handels, J Ehrhardt Bildverarbeitung für die Medizin 2017: Algorithmen-Systeme-Anwendungen …, 2017 | 2 | 2017 |
| Generative Deep Learning Modelle für die automatische Analyse und Synthese von medizinischen Bilddaten mit pathologischen Strukturen H Uzunova Dissertation, Universität zu Lübeck, 2021 | 1 | 2021 |
| New multiple sclerosis lesion detection with convolutional neural registration networks J Andresen, H Uzunova, J Ehrhardt, H Handels MSSEG-2 Challenge Proceedings: Multiple Sclerosis New Lesions Segmentation …, 2021 | 1 | 2021 |
| TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification: Leveraging Epistemic Uncertainty to Improve Model Performance J Niemeijer, J Ehrhardt, H Uzunova, H Handels International Workshop on Simulation and Synthesis in Medical Imaging, 69-78, 2024 | | 2024 |
