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V. Koelzer

10 papers hereh-index 385k citations128 works total

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

author position
  • middle author2
  • last author7

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.CV3
  • cs.LG2
same name
  • V. Koelzer — 1 paper, h 22
  • V. Koelzer — 1 paper, h 3

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
20212025
most citedMitosis domain generalization in histopathology images -- The MIDOG challenge

162 citations · 166 across the 8 of their papers we have counts for

collaborators
Showing 2023 · eess.IVShow all

3 papers · 2 filters

eess.IV2023

SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interaction

Lydia A. Schoenpflug, Viktor H. Koelzer

Detecting and classifying cells in histopathology H\&E stained whole-slide images is a core task in computational pathology, as it provides valuable insight into the tumor microenv…

eess.IV2023

Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides

Lydia A. Schoenpflug, Maxime W. Lafarge, Anja L. Frei +1

Automating tissue segmentation and tumor detection in histopathology images of colorectal cancer (CRC) is an enabler for faster diagnostic pathology workflows. At the same time it…

eess.IV2023

Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset

Maxime W. Lafarge, Viktor H. Koelzer

Making histopathology image classifiers robust to a wide range of real-world variability is a challenging task. Here, we describe a candidate deep learning solution for the Mitosis…

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