<div class="csl-bib-body">
<div class="csl-entry">Weijler, L., Reiter, M., Hermosilla, P., Maurer-Granofszky, M., & Dworzak, M. (2025). On the Importance of Local and Global Feature Learning for Automated Measurable Residual Disease Detection in Flow Cytometry Data. In A. Antonacopoulos, S. Chaudhuri, R. Chellappa, Cl. Liu, S. Bhattacharya, & U. Pal (Eds.), <i>Pattern Recognition</i> (pp. 316–331). https://doi.org/10.1007/978-3-031-78198-8_21</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/208727
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dc.description.sponsorship
Wirtschaftsagentur Wien Ein Fonds der Stadt Wien
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dc.language.iso
en
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dc.relation.ispartofseries
Lecture Notes in Computer Science
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dc.subject
Flow Cytometry
en
dc.subject
Automated MRD Detection
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dc.subject
Deep Learning
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dc.subject
Self-Attention
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dc.subject
Graph Neural Networks
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dc.title
On the Importance of Local and Global Feature Learning for Automated Measurable Residual Disease Detection in Flow Cytometry Data
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dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
St. Anna Children's Cancer Research Institute, Austria
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dc.contributor.affiliation
St. Anna Children's Cancer Research Institute, Austria