Asya Makhro

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Semi Supervised

Fourier Transform

Image Set Classification

Top Venues

Publications

Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Carsten Marr, Bastian Rieck
Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification. CoRR (2023)
Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification. MICCAI (8) (2022)
Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Anomaly-aware multiple instance learning for rare anemia disorder classification. CoRR (2022)
Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. ISBI (2021)
Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks. CoRR (2021)
Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks. DART/FAIR@MICCAI (2021)
Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. CoRR (2021)
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. MICCAI (5) (2020)
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders. CoRR (2020)
Ario Sadafi, Niklas Koehler, Asya Makhro, Anna Bogdanova, Nassir Navab, Carsten Marr, Tingying Peng
Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy. MICCAI (1) (2019)