1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Technische Universität DresdenDE34 papers
- University of WürzburgDE32 papers
- Argonne National LaboratoryUS29 papers
- Centre National de la Recherche ScientifiqueFR29 papers
- Charles UniversityCZ29 papers
- European Organization for Nuclear ResearchCH29 papers
- Heidelberg UniversityDE29 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR29 papers
- Ludwig-Maximilians-Universität MünchenDE29 papers
- Max Planck Institute for PhysicsDE29 papers
- Michigan State UniversityUS29 papers
- Nagoya UniversityJP29 papers
3 papers · 1 filter
Benchmarking Foundation Models for Mitotic Figure Classification
Jonas Ammeling, Jonathan Ganz, Emely Rosbach +4
The performance of deep learning models is known to scale with data quantity and diversity. In pathology, as in many other medical imaging domains, the availability of labeled imag…
Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation
Sweta Banerjee, Viktoria Weiss, Taryn A. Donovan +9
Atypical mitosis marks a deviation in the cell division process that has been shown be an independent prognostic marker for tumor malignancy. However, atypical mitosis classificati…
Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br)
Christof A. Bertram, Viktoria Weiss, Taryn A. Donovan +6
Assessment of the density of mitotic figures (MFs) in histologic tumor sections is an important prognostic marker for many tumor types, including breast cancer. Recently, it has be…