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J. Ammeling

22 papers hereh-index 8264 citations50 works total

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

author position
  • first author3
  • middle author18

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.HC3
  • eess.IV3

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedHistologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br)

12 citations · 48 across the 21 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

eess.IV2023

Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard

Jonas Ammeling, Moritz Hecker, Jonathan Ganz +4

The volume-corrected mitotic index (M/V-Index) was shown to provide prognostic value in invasive breast carcinomas. However, despite its prognostic significance, it is not establis…

cs.CV2023

Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors

Marc Aubreville, Zhaoya Pan, Matti Sievert +7

The surgical removal of head and neck tumors requires safe margins, which are usually confirmed intraoperatively by means of frozen sections. This method is, in itself, an oversamp…

cs.CV2023★ 2 cited

Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge

Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan +27

Recognition of mitotic figures in histologic tumor specimens is highly relevant to patient outcome assessment. This task is challenging for algorithms and human experts alike, with…

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