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Results of the European Society of Toxicologic Pathology Survey on the Use of Artificial Intelligence in Toxicologic Pathology.
Published in:
Toxicologic Pathology, 2023, v. 51, n. 4, p. 216, doi. 10.1177/01926233231182115
By:
- Palazzi, Xavier;
- Barale-Thomas, Erio;
- Bawa, Bhupinder;
- Carter, Jonathan;
- Janardhan, Kyathanahalli;
- Marxfeld, Heike;
- Nyska, Abraham;
- Saravanan, Chandrassegar;
- Schaudien, Dirk;
- Schumacher, Vanessa L.;
- Spaet, Robert H.;
- Tangermann, Simone;
- Turner, Oliver C;
- Vezzali, Enrico
Publication type:
Article
European Society of Toxicologic Pathology (Pathology 2.0 Molecular Pathology Special Interest Group): Review of In Situ Hybridization Techniques for Drug Research and Development.
Published in:
Toxicologic Pathology, 2023, v. 51, n. 3, p. 92, doi. 10.1177/01926233231178282
By:
- Monné Rodríguez, Josep M.;
- Frisk, Anna-Lena;
- Kreutzer, Robert;
- Lemarchand, Thomas;
- Lezmi, Stephane;
- Saravanan, Chandrassegar;
- Stierstorfer, Birgit;
- Thuilliez, Céline;
- Vezzali, Enrico;
- Wieczorek, Grazyna;
- Yun, Seong-Wook;
- Schaudien, Dirk
Publication type:
Article
HistoNet: A Deep Learning-Based Model of Normal Histology.
Published in:
Toxicologic Pathology, 2021, v. 49, n. 4, p. 784, doi. 10.1177/0192623321993425
By:
- Hoefling, Holger;
- Sing, Tobias;
- Hossain, Imtiaz;
- Boisclair, Julie;
- Doelemeyer, Arno;
- Flandre, Thierry;
- Piaia, Alessandro;
- Romanet, Vincent;
- Santarossa, Gianluca;
- Saravanan, Chandrassegar;
- Sutter, Esther;
- Turner, Oliver;
- Wuersch, Kuno;
- Moulin, Pierre
Publication type:
Article
Letter to the Editor Regarding "Pathology Informatics Education Committee of the American College of Veterinary Pathologists (ACVP)".
Published in:
2021
By:
- Schutten, Melissa M.;
- Knoblaugh, Sue;
- Salas, Elisa;
- Edmondson, Elijah;
- Bienzle, Dorothee;
- Cossic, Brieuc;
- Everitt, Jeffrey;
- Saravanan, Chandrassegar;
- Schmidt, Sarah;
- Schumacher, Vanessa;
- Zimmerman, Kurt
Publication type:
Editorial
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.
Published in:
Toxicologic Pathology, 2020, v. 48, n. 2, p. 277, doi. 10.1177/0192623319881401
By:
- Turner, Oliver C.;
- Aeffner, Famke;
- Bangari, Dinesh S.;
- High, Wanda;
- Knight, Brian;
- Forest, Tom;
- Cossic, Brieuc;
- Himmel, Lauren E.;
- Rudmann, Daniel G.;
- Bawa, Bhupinder;
- Muthuswamy, Anantharaman;
- Aina, Olulanu H.;
- Edmondson, Elijah F.;
- Saravanan, Chandrassegar;
- Brown, Danielle L.;
- Sing, Tobias;
- Sebastian, Manu M.
Publication type:
Article
Analysis of differential expression of glycosyltransferases in healing corneas by glycogene microarrays.
Published in:
Glycobiology, 2010, v. 20, n. 1, p. 13, doi. 10.1093/glycob/cwp133
By:
- Saravanan, Chandrassegar;
- Zhiyi Cao;
- Head, Steven R.;
- Panjwani, Noorjahan
Publication type:
Article

Found: 6

Results of the European Society of Toxicologic Pathology Survey on the Use of Artificial Intelligence in Toxicologic Pathology.

European Society of Toxicologic Pathology (Pathology 2.0 Molecular Pathology Special Interest Group): Review of In Situ Hybridization Techniques for Drug Research and Development.

HistoNet: A Deep Learning-Based Model of Normal Histology.

Letter to the Editor Regarding "Pathology Informatics Education Committee of the American College of Veterinary Pathologists (ACVP)".

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.

Analysis of differential expression of glycosyltransferases in healing corneas by glycogene microarrays.