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researcher

Clara Simmat

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • q-bio.TO1

identity via Semantic Scholar / OpenAlex

most citedClassification in Histopathology: A unique deep embeddings extractor for multiple classification tasks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.TO2023

Evaluation of the mitotic score of invasive breast carcinomas on digital slide: development and contribution of a mitosis detection algorithm

Loris Guichard, Clara Simmat, Margot Dupeux +6

Introduction: Nottingham grading system is a major prognostic factor for invasive breast carcinoma (IBC). Its determination requires the evaluation of the mitotic score (MS) which…

cs.CV2023★ 1 cited

Classification in Histopathology: A unique deep embeddings extractor for multiple classification tasks

Adrien Nivaggioli, Nicolas Pozin, Rémy Peyret +6

In biomedical imaging, deep learning-based methods are state-of-the-art for every modality (virtual slides, MRI, etc.) In histopathology, these methods can be used to detect certai…

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