1 citations · 1 across the 3 of their papers we have counts for
4 papers
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification
Joshua Niemeijer, Jan Ehrhardt, Hristina Uzunova +1
The usage of medical image data for the training of large-scale machine learning approaches is particularly challenging due to its scarce availability and the costly generation of…
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images
Marc S. Seibel, Hristina Uzunova, Timo Kepp +1
For a unified analysis of medical images from different modalities, data harmonization using image-to-image (I2I) translation is desired. We study this problem employing an optical…
Memory-efficient GAN-based Domain Translation of High Resolution 3D Medical Images
Hristina Uzunova, Jan Ehrhardt, Heinz Handels
Generative adversarial networks (GANs) are currently rarely applied on 3D medical images of large size, due to their immense computational demand. The present work proposes a multi…
Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
Hristina Uzunova, Jan Ehrhardt, Fabian Jacob +2
Currently generative adversarial networks (GANs) are rarely applied to medical images of large sizes, especially 3D volumes, due to their large computational demand. We propose a n…