Daniel G Rudmann (Daniel Rudmann, Dan Rudmann)

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Convolutional Neural Network

Machine Learning

Electron Transfer

Top Venues

Toxicologic pathology

This page only lists publications with an associated author ORCID identifier.

Publications

Nadine Stokar-Regenscheit, Luisa Bell, Brian Berridge, Daniel G 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, Radhakrishna Sura, Lindsay Tomlinson
Complex In Vitro Model Characterization for Context of Use in Toxicologic Pathology: Use Cases by Collaborative Teams of Biologists, Bioengineers, and Pathologists. Toxicologic pathology (2024)
Nadine Stokar-Regenscheit, Luisa Bell, Brian Berridge, Daniel G 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, Radhakrishna Sura, Lindsay Tomlinson
Complex In Vitro Model Characterization for Context of Use in Toxicologic Pathology: Use Cases by Collaborative Teams of Biologists, Bioengineers, and Pathologists. Toxicologic pathology 52 (2-3) (2024)
Thomas Forest, Famke Aeffner, Dinesh S Bangari, Bhupinder Bawa, Jonathan Carter, James D Fikes, Wanda B High, Shim-Mo Hayashi, Matthew Jacobsen, LuAnn McKinney, Daniel G Rudmann, Thomas J Steinbach, Vanessa L Schumacher, Oliver C Turner, Jerrold M Ward, Cynthia J Willson
Scientific and Regulatory Policy Committee Points to Consider: Primary Digital Histopathology Evaluation and Peer Review for Good Laboratory Practice (GLP) Nonclinical Toxicology Studies. Toxicologic pathology 50 (4) (2022)
Thomas Forest, Famke Aeffner, Dinesh S Bangari, Bhupinder Bawa, Jonathan Carter, James D Fikes, Wanda B High, Shim-Mo Hayashi, Matthew Jacobsen, LuAnn McKinney, Daniel G Rudmann, Thomas J Steinbach, Vanessa L Schumacher, Oliver C Turner, Jerrold M Ward, Cynthia J Willson
Scientific and Regulatory Policy Committee Brief Communication: 2019 Survey on Use of Digital Histopathology Systems in Nonclinical Toxicology Studies. Toxicologic pathology 50 (3) (2022)
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. Toxicologic pathology 49 (4) (2021)
Matthew Jacobsen, Arthur Lewis, James Baily, Alain Fraser, Daniel G Rudmann, Shane Ryan
Utilizing Whole Slide Images for the Primary Evaluation and Peer Review of a GLP-Compliant Rodent Toxicology Study. Toxicologic pathology 49 (6) (2021)
Daniel G 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. Toxicologic pathology 49 (4) (2020)
Aleksandra Zuraw, Michael Staup, Robert Klopfleisch, Famke Aeffner, Danielle L Brown, Thomas Westerling-Bui, Daniel G Rudmann
Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology. Toxicologic pathology 49 (4) (2020)
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". Toxicologic pathology 47 (7) (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, Tobias Sing, Manu M Sebastian
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. Toxicologic pathology 48 (2) (2019)