J
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.
Tammo Müller,Christin Dewitz,Jessica Schmitz,Anna Sophia Schröder,Jan Hinrich Bräsen,Brent R. Stockwell,James M. Murphy,Ulrich Kunzendorf,Stefan Krautwald +8 more
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.
Caroline Moerke,Isabel Jaco,Christin Dewitz,Tammo Müller,Annette V. Jacobsen,Annette V. Jacobsen,Jérémie Gautheron,J. Fritsch,Jessica Schmitz,Jan Hinrich Bräsen,Claudia Günther,James M. Murphy,James M. Murphy,Ulrich Kunzendorf,Pascal Meier,Stefan Krautwald +15 more
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
Thomas Lampert,Odyssée Merveille,Jessica Schmitz,Germain Forestier,Friedrich Feuerhake,Cédric Wemmert +5 more
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.
Posted Content
Strategies for Training Stain Invariant CNNs
Thomas Lampert,Odyssée Merveille,Jessica Schmitz,Germain Forestier,Friedrich Feuerhake,Cédric Wemmert +5 more
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.
Odyssée Merveille,Odyssée Merveille,Thomas Lampert,Jessica Schmitz,Germain Forestier,Friedrich Feuerhake,Cédric Wemmert +6 more
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.