4 papers
Anomaly-aware multiple instance learning for rare anemia disorder classification
Salome Kazeminia, Ario Sadafi, Asya Makhro +3
Deep learning-based classification of rare anemia disorders is challenged by the lack of training data and instance-level annotations. Multiple Instance Learning (MIL) has shown to…
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks
Ario Sadafi, Asya Makhro, Leonid Livshits +4
Sickle cell disease (SCD) is a severe genetic hemoglobin disorder that results in premature destruction of red blood cells. Assessment of the severity of the disease is a challengi…
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias
Ario Sadafi, Lucía María Moya Sans, Asya Makhro +5
Hereditary hemolytic anemias are genetic disorders that affect the shape and density of red blood cells. Genetic tests currently used to diagnose such anemias are expensive and una…
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders
Ario Sadafi, Asya Makhro, Anna Bogdanova +4
Red blood cells are highly deformable and present in various shapes. In blood cell disorders, only a subset of all cells is morphologically altered and relevant for the diagnosis.…