101 citations · 117 across the 16 of their papers we have counts for
3 papers · 1 filter
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification
Michael Gadermayr, Lukas Koller, Maximilian Tschuchnig +5
For classifying digital whole slide images in the absence of pixel level annotation, typically multiple instance learning methods are applied. Due to the generic applicability, suc…
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction
Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger +1
Semantic segmentation is a crucial task in medical image processing, essential for segmenting organs or lesions such as tumors. In this study we aim to improve automated segmentati…
Inflation forecasting with attention based transformer neural networks
Maximilian Tschuchnig, Petra Tschuchnig, Cornelia Ferner +1
Inflation is a major determinant for allocation decisions and its forecast is a fundamental aim of governments and central banks. However, forecasting inflation is not a trivial ta…