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researcher

Timo Löhr

LMU Munich

7 papers hereh-index 8221 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author5

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CV2
  • eess.IV1
  • stat.ML1
affiliations
  • LMU Munich

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedblob loss: instance imbalance aware loss functions for semantic segmentation

20 citations · 28 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

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…

cs.CV2020★ 8 cited

Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns

Hongwei Li, Timo Loehr, Anjany Sekuboyina +3

In medical imaging, the heterogeneity of multi-centre data impedes the applicability of deep learning-based methods and results in significant performance degradation when applying…

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