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researcher

Christoph Stroblberger

2 papers hereh-index 00 citations4 works total

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.CV2

identity via Semantic Scholar / OpenAlex

works on
dense object detection 1mitotic figure detection 1pathology foundation models 1self-supervised learning 1transfer learning 1

From the 1 of 2 linked papers with an AI index.

collaborators

2 papers

cs.CV2026

Beyond Classification: Pathology Foundation Models as Detection Encoders for Mitotic Figures

Sweta Banerjee, Alireza Teimoury, Nils Porsche +11

The paper evaluates whether pathology foundation models can serve as effective backbones for dense detection of mitotic figures, comparing several self‑supervised models to a ResNe…

cs.CV2025

SWAN -- Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces

Sweta Banerjee, Timo Gosch, Sara Hester +11

The annotation of large scale histopathology image datasets remains a major bottleneck in developing robust deep learning models for clinically relevant tasks, such as mitotic figu…

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