26 citations · 26 across the 2 of their papers we have counts for
3 papers
Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation
Markus Unterdechler, Botond Fazekas, Guilherme Aresta +1
Data augmentation plays a crucial role in addressing the challenge of limited expert-annotated datasets in deep learning applications for retinal Optical Coherence Tomography (OCT)…
Segmentation of Bruch's Membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification
Botond Fazekas, Dmitrii Lachinov, Guilherme Aresta +3
Bruch's membrane (BM) segmentation on optical coherence tomography (OCT) is a pivotal step for the diagnosis and follow-up of age-related macular degeneration (AMD), one of the lea…
A Multi-modal Deep Neural Network approach to Bird-song identification
Botond Fazeka, Alexander Schindler, Thomas Lidy +1
We present a multi-modal Deep Neural Network (DNN) approach for bird song identification. The presented approach takes both audio samples and metadata as input. The audio is fed in…