187 citations · 191 across the 3 of their papers we have counts for
3 papers · 1 filter
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification
L. E. Hogeweg, R. Gangireddy, D. Brunink +3
High-performing out-of-distribution (OOD) detection, both anomaly and novel class, is an important prerequisite for the practical use of classification models. In this paper, we fo…
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations
Gerda Bortsova, Florian Dubost, Laurens Hogeweg +2
The scarcity of labeled data often limits the application of supervised deep learning techniques for medical image segmentation. This has motivated the development of semi-supervis…
Deep Learning from Label Proportions for Emphysema Quantification
Gerda Bortsova, Florian Dubost, Silas Ørting +5
We propose an end-to-end deep learning method that learns to estimate emphysema extent from proportions of the diseased tissue. These proportions were visually estimated by experts…