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