MyeFLOW- Automated minimal residual disease assessment

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Primary Data

Project Acronym Projekt Kurzbezeichnung
MyeFLOW
 
Project Title (de) Projekttitel (de)
MyeFLOW- Automated minimal residual disease assessment
 
Consortium Coordinator Koordinator des Konsortiums
 
Principal Investigator Projektleiter_in
 

Publications

Results 1-4 of 4 (Search time: 0.002 seconds).

PreviewAuthors / EditorsTitleTypeIssue Date
1Weijler, Lisa Magdalena UMAP based Anomaly Detection for Leukemic Cell Quantification within Acute Myeloid LeukemiaPresentation Vortrag20-Feb-2022
2Wödlinger, Matthias ; Reiter, Michael ; Weijler, Lisa ; Maurer-Granofszky, Margarita ; Schumich, Angela ; Sajaroff, Elisa ; Groeneveld-Krentz, Stefanie ; Rossi Jorge ; Karawajew, Leonid ; Ratei, Richard ; Dworzak, Michael Automated identification of cell populations in flow cytometry data with transformersArticle Artikel 16-Feb-2022
3Weijler, Lisa ; Kowarsch, Florian ; Wödlinger, Matthias ; Reiter, Michael ; Maurer-Granofszky, Margarita ; Schumich, Angela ; Dworzak, Michael N UMAP Based Anomaly Detection for Minimal Residual Disease Quantification within Acute Myeloid LeukemiaArticle Artikel 11-Feb-2022
4Kowarsch, Florian ; Weijler, Lisa ; Wödlinger, Matthias ; Reiter, Michael ; Maurer-Granofszky, Margarita ; Schumich, Angela ; Sajaroff, Elisa ; Groeneveld-Krentz, Stefanie ; Rossi, Jorge ; Karawajew, Leonid ; Ratei, Richard ; Dworzak, Michael Towards Self-explainable Transformers for Cell Classification in Flow Cytometry DataInproceedings Konferenzbeitrag 2022