Ario Sadafi

Research Interests

  • Multiple Instance Learning
  • Unsupervised Learning
  • Weakly Supervised Learning
  • Microscopic image analysis


  • Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, and Carsten Marr, "Attention based multiple instance learning for classification of blood cell disorders.", MICCAI 2020
  • Ario Sadafi, Niklas Koehler, Asya Makhro, Anna Bogdanova, Nassir Navab, Carsten Marr, and Tingying Peng, "Multiclass deep active learning for detecting red blood cell subtypes in brightfield microscopy.", MICCAI 2019
  • Ario Sadafi, Maria Bordukova, Asya Makhro, Nassir Navab, Anna Bogdanova, and Carsten Marr. "RedTell: an AI tool for interpretable analysis of red blood cell morphology." Frontiers in Physiology 14 (2023)
  • Raheleh Salehi*, Ario Sadafi*, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, and Carsten Marr, "Unsupervised cross-domain feature extraction for single blood cell image classification.", MICCAI 2022
  • Matthias Hehr, Ario Sadafi, Christian Matek, Peter Lienemann, Christian Pohlkamp, Torsten Haferlach, Karsten Spiekermann, and Carsten Marr. "Explainable AI identifies diagnostic cells of genetic AML subtypes." PLOS Digital Health 2, no. 3 (2023)
  • Ario Sadafi*, Oleksandra Adonkina*, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, and Carsten Marr, "Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images.”, Information Processing in Medical Imaging – IPMI 2023
  • Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, and Carsten Marr. "A continual learning approach for cross-domain white blood cell classification." DART Workshop, MICCAI 2023

Please consult my Google Scholar profile for the complete list.