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Jessica Schmitz

Researcher at Hannover Medical School

Publications -  7
Citations -  302

Jessica Schmitz is an academic researcher from Hannover Medical School. The author has contributed to research in topics: Digital pathology & Programmed cell death. The author has an hindex of 4, co-authored 7 publications receiving 169 citations. Previous affiliations of Jessica Schmitz include Leibniz University of Hanover.

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Journal ArticleDOI

Necroptosis and ferroptosis are alternative cell death pathways that operate in acute kidney failure.

TL;DR: Findings reveal ACSL4 to be a reliable biomarker of the emerging cell death modality of ferroptosis, which may also serve as a novel therapeutic target in preventing pathological cell death processes.
Journal ArticleDOI

The anticonvulsive Phenhydan® suppresses extrinsic cell death.

TL;DR: Phenhydan® blocked activation of necrosome formation/activation as well as death receptor-induced NF-κB signaling by influencing the membrane function of cells, such as lipid raft formation, thus exerting an inhibitory effect on pathophysiologic cell death processes.
Proceedings ArticleDOI

Strategies for Training Stain Invariant CNNS

TL;DR: This article presents several training strategies that make progress towards stain invariant networks by training the network on one commonly used staining modality and applying it to images that include corresponding but differently stained tissue structures.
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Strategies for Training Stain Invariant CNNs

TL;DR: In this article, the authors presented several training strategies that make progress towards stain invariant networks by training the network on one commonly used staining modality and applying it to images that include corresponding but differently stained tissue structures.
Journal ArticleDOI

An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology.

TL;DR: In this article, an automatic image processing framework is presented to extract quantitative high-level information describing the micro-environment of glomeruli in consecutive whole slide images (WSIs) processed with different staining modalities of patients with chronic kidney rejection after kidney transplantation.