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Julia A. Schnabel

5 papers hereh-index 4169 citations9 works total

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

author position
  • middle author4
  • last author1

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

fields
  • cs.CV4
  • eess.IV1
same name
  • Julia A. Schnabel — 12 papers, h 6
  • Julia A. Schnabel — 9 papers, h 6
  • Julia A. Schnabel — 7 papers, h 3
  • Julia A. Schnabel — 4 papers, h 2
  • Julia A. Schnabel — 4 papers, h 1
  • Julia A. Schnabel — 3 papers

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
20242026
most citedLow-resource finetuning of foundation models beats state-of-the-art in histopathology

13 citations · 19 across the 4 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.CV2024★ 4 cited

Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge

Stefan M. Fischer, Johannes Kiechle, Daniel M. Lang +2

Pathological lymph node delineation is crucial in cancer diagnosis, progression assessment, and treatment planning. The MICCAI 2023 Lymph Node Quantification Challenge published th…

cs.CV2024★ 2 cited

DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology

Valentin Koch, Sophia J. Wagner, Salome Kazeminia +5

In hematology, computational models offer significant potential to improve diagnostic accuracy, streamline workflows, and reduce the tedious work of analyzing single cells in perip…

cs.CV2024★ 13 cited

Low-resource finetuning of foundation models beats state-of-the-art in histopathology

Benedikt Roth, Valentin Koch, Sophia J. Wagner +3

To handle the large scale of whole slide images in computational pathology, most approaches first tessellate the images into smaller patches, extract features from these patches, a…

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