Hristina Uzunova

Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

Synthesis of annotated pathological retinal OCT data with pathology-induced deformations.

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[DOI]

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Abstract: Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders.

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[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Abstract: Synthesis of Annotated Pathological Retinal OCT Data with Pathology-Induced Deformations.

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[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Generative Modelle für pathologische Bilddaten.

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[DOI]

Proceedings of the Ausgezeichnete Informatikdissertationen 2021., 2021

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

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[DOI]

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Analysis of Generative Shape Modeling Approaches - Latent Space Properties and Interpretability.

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[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

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

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[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

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

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[DOI]

Comput. Medical Imaging Graph., 2020

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

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[DOI]

Marja Fleitmann

Andreas Martin Stroth

Proceedings of the Wireless Mobile Communication and Healthcare, 2020

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

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[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Quantitative Comparison of Generative Shape Models for Medical Images.

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[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

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

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[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Unsupervised pathology detection in medical images using conditional variational autoencoders.

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[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2019

Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders.

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[DOI]

Proceedings of the Medical Imaging 2019: Image Processing, 2019

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

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[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

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

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[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

Unsupervised Pathology Detection in Medical Images using Learning-based Methods.

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[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

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

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[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Robust Groupwise Affine Registration of Medical Images with Stochastic Optimization.

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[DOI]