2 citations · 2 across the 2 of their papers we have counts for
3 papers
Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction
Fatemeh Nassajian Mojarrad, Lorenzo Bini, Thomas Matthes +1
In the complex landscape of hematologic samples such as peripheral blood or bone marrow derived from flow cytometry (FC) data, cell-level prediction presents profound challenges. T…
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
Lorenzo Bini, Fatemeh Nassajian Mojarrad, Margarita Liarou +2
This paper presents FlowCyt, the first comprehensive benchmark for multi-class single-cell classification in flow cytometry data. The dataset comprises bone marrow samples from 30…
Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph
Fatemeh Nassajian Mojarrad, Lorenzo Bini, Thomas Matthes +1
In the complex landscape of hematologic samples such as peripheral blood or bone marrow, cell classification, delineating diverse populations into a hierarchical structure, present…