Daniel Rudmann - Dissemin

All papers authored by Daniel Rudmann

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2024 Nadine Stokar-Regenscheit, Luisa Bell, Brian Berridge, Daniel Rudmann

, Danilo Tagle, Passley Hargrove-Grimes, Dirk Schaudien

, Kerstin Hahn, Julia Kühnlenz, Randolph S. Ashton, Min Tseng

, Mike Reichelt, Steven T. Laing, Tomomi Kiyota, Ronnie Chamanza

and 2 other authors

Complex In Vitro Model Characterization for Context of Use in Toxicologic Pathology: Use Cases by Collaborative Teams of Biologists, Bioengineers, and Pathologists

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2023 D. G. Rudmann

, L. Bertrand, A. Zuraw, J. Deiters, M. Staup, Y. Rivenson, J. Kuklyte

Building a nonclinical pathology laboratory of the future for pharmaceutical research excellence

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2022 Thomas Forest

, Famke Aeffner

, Dinesh S. Bangari

, Bhupinder Bawa

, Jonathan Carter, James Fikes

, Wanda B. High

, Shim-Mo Hayashi, Matthew Jacobsen

, LuAnn McKinney, Daniel Rudmann

, Thomas Steinbach

, Vanessa Schumacher

, Oliver C. Turner

, Jerrold M. Ward

and 1 other authors

Scientific and Regulatory Policy Committee Brief Communication: 2019 Survey on Use of Digital Histopathology Systems in Nonclinical Toxicology Studies

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This paper is made freely available by the publisher.

2021 Matt Jacobsen

, Arthur Lewis, James Baily, Alain Fraser, Dan Rudmann

, Shane Ryan

Utilizing Whole Slide Images for the Primary Evaluation and Peer Review of a GLP-Compliant Rodent Toxicology Study

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Oliver C. Turner

, Brian Knight

, Aleksandra Zuraw

, Geert Litjens

, Daniel G. Rudmann

Mini Review: The Last Mile—Opportunities and Challenges for Machine Learning in Digital Toxicologic Pathology

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2020 Aleksandra Zuraw

, Michael Staup, Robert Klopfleisch, Famke Aeffner

, Danielle Brown

, Thomas Westerling-Bui, Daniel Rudmann

Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology

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Daniel Rudmann

, Jay Albretsen, Colin Doolan, Mark Gregson, Beth Dray, Aaron Sargeant, Donal O’Shea D., Jogile Kuklyte, Adam Power, Jenny Fitzgerald

Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies

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2019 Oliver C. Turner

, Famke Aeffner, Dinesh S. Bangari, Wanda High, Brian Knight, Tom Forest, Brieuc Cossic, Lauren E. Himmel, Daniel G. Rudmann

, Bhupinder Bawa, Anantharaman Muthuswamy, Olulanu H. Aina, Elijah F. Edmondson

, Chandrassegar Saravanan, Danielle L. Brown

and 2 other authors

Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology

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Daniel G. Rudmann

, Curtis Colleton

Response to Letter to the Editor Regarding “Interstitial Adipocytes in the Beagle Dog and New Zealand White Rabbit Choroid Plexus”

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All papers authored by Daniel Rudmann