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researcher

Michael Bachmann Nielsen

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • eess.IV2
ORCID 0000-0002-9380-1688

identity via Semantic Scholar / OpenAlex

most citedReducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis

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

collaborators

2 papers

eess.IV2022

Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learning

Peidi Xu, Faezeh Moshfeghifar, Torkan Gholamalizadeh +3

Accurate geometry representation is essential in developing finite element models. Although generally good, deep-learning segmentation approaches with only few data have difficulti…

eess.IV2022★ 2 cited

Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis

Jiahao Lu, Chong Yin, Oswin Krause +3

Feature-based self-explanatory methods explain their classification in terms of human-understandable features. In the medical imaging community, this semantic matching of clinical…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.