MyeFLOW- Automated minimal residual disease assessment


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
 

Results 1-5 of 5 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Kowarsch, Florian ; Maurer-Granofszky, Margarita ; Weijler, Lisa ; Wödlinger, Matthias ; Reiter, Michael ; Schumich, Angela ; Feuerstein, Tamar ; Sala, Simona ; Nováková, Michaela ; Faggin, Giovanni ; Gaipa, Giuseppe ; Hrusak, Ondrej ; Buldini, Barbara ; Dworzak, Michael FCM marker importance for MRD assessment in T-cell acute lymphoblastic leukemia: An AIEOP-BFM-ALL-FLOW study group reportArticle Artikel 2023
2Weijler, Lisa Magdalena UMAP based Anomaly Detection for Leukemic Cell Quantification within Acute Myeloid LeukemiaPresentation Vortrag20-Feb-2022
3Wödlinger, 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
4Weijler, 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
5Kowarsch, 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