Works matching IS 15524949 AND DT 2024 AND VI 106 AND IP 4

Results: 10

Issue highlights—July 2024.

Published in:

Cytometry. Part B, 2024, v. 106, n. 4, p. 223, doi. 10.1002/cyto.b.22199

By:

Kern, Wolfgang;
Wallace, Paul;
Brinkman, Ryan

Publication type:

Article

Comparison of three machine learning algorithms for classification of B‐cell neoplasms using clinical flow cytometry data.

Published in:

Cytometry. Part B, 2024, v. 106, n. 4, p. 282, doi. 10.1002/cyto.b.22177

By:

Dinalankara, Wikum;
Ng, David P.;
Marchionni, Luigi;
Simonson, Paul D.

Publication type:

Article

A lasso and random forest model using flow cytometry data identifies primary myelofibrosis.

Published in:

Cytometry. Part B, 2024, v. 106, n. 4, p. 272, doi. 10.1002/cyto.b.22173

By:

Zhang, Feng;
Wang, Ya‐Zhe;
Chang, Yan;
Yuan, Xiao‐Ying;
Shi, Wei‐Hua;
Shi, Hong‐Xia;
Shen, Jian‐Zhen;
Liu, Yan‐Rong

Publication type:

Article

MAGIC‐DR: An interpretable machine‐learning guided approach for acute myeloid leukemia measurable residual disease analysis.

Published in:

Cytometry. Part B, 2024, v. 106, n. 4, p. 239, doi. 10.1002/cyto.b.22168

By:

Shopsowitz, Kevin;
Lofroth, Jack;
Chan, Geoffrey;
Kim, Jubin;
Rana, Makhan;
Brinkman, Ryan;
Weng, Andrew;
Medvedev, Nadia;
Wang, Xuehai

Publication type:

Article

Translating the regulatory landscape of medical devices to create fit‐for‐purpose artificial intelligence (AI) cytometry solutions.

Published in:

Cytometry. Part B, 2024, v. 106, n. 4, p. 294, doi. 10.1002/cyto.b.22167

By:

Bogdanoski, Goce;
Lucas, Fabienne;
Kern, Wolfgang;
Czechowska, Kamila

Publication type:

Article

Recommendations for using artificial intelligence in clinical flow cytometry.

Published in:

Cytometry. Part B, 2024, v. 106, n. 4, p. 228, doi. 10.1002/cyto.b.22166

By:

Ng, David P.;
Simonson, Paul D.;
Tarnok, Attila;
Lucas, Fabienne;
Kern, Wolfgang;
Rolf, Nina;
Bogdanoski, Goce;
Green, Cherie;
Brinkman, Ryan R.;
Czechowska, Kamila

Publication type:

Article

Minimal residual disease assessment in B‐cell precursor acute lymphoblastic leukemia by semi‐automated identification of normal hematopoietic cells: A EuroFlow study.

Published in:

Cytometry. Part B, 2024, v. 106, n. 4, p. 252, doi. 10.1002/cyto.b.22143

By:

Verbeek, Martijn W. C.;
Rodríguez, Beatriz Soriano;
Sedek, Lukasz;
Laqua, Anna;
Buracchi, Chiara;
Buysse, Malicorne;
Reiterová, Michaela;
Oliveira, Elen;
Morf, Daniela;
Oude Alink, Sjoerd R.;
Barrena, Susana;
Kohlscheen, Saskia;
Nierkens, Stefan;
Hofmans, Mattias;
Fernandez, Paula;
de Costa, Elaine Sobral;
Mejstrikova, Ester;
Szczepanski, Tomasz;
Slota, Lukasz;
Brüggemann, Monika

Publication type:

Article

Issue Information.

Published in:: Cytometry. Part B, 2024, v. 106, n. 4, p. 217, doi. 10.1002/cyto.b.22130
Publication type:: Article

Automation in flow cytometry: Guidelines and review of systems.

Published in:

Cytometry. Part B, 2024, v. 106, n. 4, p. 308, doi. 10.1002/cyto.b.22125

By:

Al‐Attar, Ahmad;
Kumar, Kirthi R.;
Untersee, Dorian;
O'Driscoll, Marci;
Ventura, Miguel Francoise S.;
Lin, Leo

Publication type:

Article

Automated quantification of measurable residual disease in chronic lymphocytic leukemia using an artificial intelligence‐assisted workflow.

Published in:

Cytometry. Part B, 2024, v. 106, n. 4, p. 264, doi. 10.1002/cyto.b.22116

By:

Bazinet, Alexandre;
Wang, Alan;
Li, Xinmei;
Jia, Fuli;
Mo, Huan;
Wang, Wei;
Wang, Sa A.

Publication type:

Article