most citedblob loss: instance imbalance aware loss functions for semantic segmentation

20 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

3 papers

cs.CV2025

MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder

Ayhan Can Erdur, Christian Beischl, Daniel Scholz +4

Missing input sequences are common in medical imaging data, posing a challenge for deep learning models reliant on complete input data. In this work, inspired by MultiMAE [2], we d…

cs.CV2025

Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset

A. Piffer, J. A. Buchner, A. G. Gennari +11

Background Brain tumours are the most common solid malignancies in children, encompassing diverse histological, molecular subtypes and imaging features and outcomes. Paediatric bra…

cs.CV2022★ 20 cited

blob loss: instance imbalance aware loss functions for semantic segmentation

Florian Kofler, Suprosanna Shit, Ivan Ezhov +14

Deep convolutional neural networks (CNN) have proven to be remarkably effective in semantic segmentation tasks. Most popular loss functions were introduced targeting improved volum…