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researcher

M. Boxberg

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
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedStructure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations

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

collaborators

2 papers

cs.CV2022

S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning

Manuel Tran, Sophia J. Wagner, Melanie Boxberg +1

In computational pathology, we often face a scarcity of annotations and a large amount of unlabeled data. One method for dealing with this is semi-supervised learning which is comm…

eess.IV2021★ 2 cited

Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations

Sophia J. Wagner, Nadieh Khalili, Raghav Sharma +4

In digital pathology, different staining procedures and scanners cause substantial color variations in whole-slide images (WSIs), especially across different laboratories. These co…

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