no code implementations • 29 Nov 2023 • Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani, Alvaro Gomariz
Digital pathology has significantly advanced disease detection and pathologist efficiency through the analysis of gigapixel whole-slide images (WSI).
no code implementations • 12 Apr 2023 • Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu
Variational autoencoders (VAEs) are powerful generative modelling methods, however they suffer from blurry generated samples and reconstructions compared to the images they have been trained on.
no code implementations • 28 Nov 2022 • Jakob Geusen, Gustav Bredell, Tianfei Zhou, Ender Konukoglu
Partitioning an image into superpixels based on the similarity of pixels with respect to features such as colour or spatial location can significantly reduce data complexity and improve subsequent image processing tasks.
1 code implementation • 19 Dec 2021 • Gustav Bredell, Ertunc Erdil, Bruno Weber, Ender Konukoglu
In addition, the image generator reproduces low-frequency features of the deconvolved image faster than that of a blurry image.
1 code implementation • CVPR 2022 • Metin Ersin Arican, Ozgur Kara, Gustav Bredell, Ender Konukoglu
Our experiments show that image-specific metrics can reduce the search space to a small cohort of models, of which the best model outperforms current NAS approaches for image restoration.
1 code implementation • 20 Jun 2021 • Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Ender Konukoglu
The proposed network has two appealing characteristics: 1) The memory-augmented network offers the ability to quickly encode past segmentation information, which will be retrieved for the segmentation of other slices; 2) The quality assessment module enables the model to directly estimate the qualities of segmentation predictions, which allows an active learning paradigm where users preferentially label the lowest-quality slice for multi-round refinement.
no code implementations • 11 May 2021 • Kyriakos Flouris, Anna Volokitin, Gustav Bredell, Ender Konukoglu
In this work, we investigate a decoder-only method that uses gradient flow to encode data samples in the latent space.
no code implementations • 23 Jul 2018 • Gustav Bredell, Christine Tanner, Ender Konukoglu
Automatic segmentation has great potential to facilitate morphological measurements while simultaneously increasing efficiency.