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researcher

D. Wolf

5 papers hereh-index 7182 citations20 works total

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

author position
  • first author2
  • middle author2
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV5
same name
  • D. Wolf — 58 papers, h 45
  • D. Wolf — 20 papers, h 25
  • D. Wolf — 14 papers, h 29
  • D. Wolf — 5 papers, h 6
  • D. Wolf — 5 papers, h 10
  • D. Wolf — 4 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedSelf-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging

55 citations · 55 across the 5 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

cs.CV2026

A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans

Simon Vincent Abel, Heiko Hillenhagen, Michael Götz +3

Reliable spatial understanding is an important prerequisite for future medical vision-language systems that aim to support radiological report generation and structured image under…

cs.CV2026

Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging

Yiheng Xiong, Luisa Gallée, Daniel Santak Wolf +2

Numerous unsupervised domain adaptation (UDA) algorithms exist, but for clinical practice, selecting the best-suited one along with proper hyperparameters often remains unclear, as…

cs.CV2026

How Far from Clinical Deployment? Evaluating the Complete Unsupervised Domain Adaptation Pipeline in Medical Imaging

Yiheng Xiong, Luisa Gallée, Daniel Santak Wolf +2

Deploying unsupervised domain adaptation (UDA) in clinical practice requires choosing which algorithm to use and which of its trained models to ship. However, the deployment (targe…

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