2 citations · 2 across the 4 of their papers we have counts for
4 papers
Learning a robust shape parameter for RBF approximation
Maria Han Veiga, Faezeh Nassajian Mojarrad, Fatemeh Nassajian Mojarrad
Radial basis functions (RBFs) play an important role in function interpolation, in particular in an arbitrary set of interpolation nodes. The accuracy of the interpolation depends…
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…