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researcher

Luca Deininger

2 papers hereh-index 5103 citations6 works total

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

author position
  • first author1
  • middle author1

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 citedA comparative study between vision transformers and CNNs in digital pathology

31 citations · 31 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2026

IFC-SSL-Bench: Benchmarking Self-Supervised Learning for Annotation-Efficient Multispectral Imaging Flow Cytometry

Angelo Jovin Yamachui Sitcheu, Roxana-Teodora Fetescu, Thomas Lautenschlager +6

Imaging Flow Cytometry (IFC) generates large multispectral datasets, yet the need for expert annotations bottlenecks the development of supervised deep learning models. While Self-…

eess.IV2022★ 31 cited

A comparative study between vision transformers and CNNs in digital pathology

Luca Deininger, Bernhard Stimpel, Anil Yuce +5

Recently, vision transformers were shown to be capable of outperforming convolutional neural networks when pretrained on sufficient amounts of data. In comparison to convolutional…

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