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researcher

L. Hogeweg

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedSemi-Supervised Medical Image Segmentation via Learning Consistency under Transformations

187 citations · 189 across the 2 of their papers we have counts for

collaborators

3 papers

eess.IV2021★ 2 cited

Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images

Gerda Bortsova, Florian Dubost, Laurens Hogeweg +2

Adversarial attacks consist in maliciously changing the input data to mislead the predictions of automated decision systems and are potentially a serious threat for automated medic…

cs.CV2019★ 187 cited

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…

cs.CV2018

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…

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