| Multiclass deep active learning for detecting red blood cell subtypes in brightfield microscopy A Sadafi, N Koehler, A Makhro, A Bogdanova, N Navab, C Marr, T Peng Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 36 | 2019 |
| Attention based multiple instance learning for classification of blood cell disorders A Sadafi, A Makhro, A Bogdanova, N Navab, T Peng, S Albarqouni, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 32 | 2020 |
| Donor age and red cell age contribute to the variance in lorrca indices in healthy donors for next generation ektacytometry: a pilot study AM Van Cromvoirt, S Fenk, A Sadafi, EV Melnikova, DA Lagutkin, K Dey, ... Frontiers in Physiology 12, 639722, 2021 | 14 | 2021 |
| Explainable AI identifies diagnostic cells of genetic AML subtypes M Hehr, A Sadafi, C Matek, P Lienemann, C Pohlkamp, T Haferlach, ... PLOS Digital Health 2 (3), e0000187, 2023 | 10 | 2023 |
| Make deep learning algorithms in computational pathology more reproducible and reusable SJ Wagner, C Matek, S Shetab Boushehri, M Boxberg, L Lamm, A Sadafi, ... Nature Medicine 28 (9), 1744-1746, 2022 | 10 | 2022 |
| Unsupervised cross-domain feature extraction for single blood cell image classification R Salehi, A Sadafi, A Gruber, P Lienemann, N Navab, S Albarqouni, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 9 | 2022 |
| Red blood cells segmentation: a fully convolutional network approach A Sadafi, M Radolko, I Serafeimidis, S Hadlak 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2018 | 9 | 2018 |
| RedTell: an AI tool for interpretable analysis of red blood cell morphology A Sadafi, M Bordukova, A Makhro, N Navab, A Bogdanova, C Marr Frontiers in Physiology 14, 1058720, 2023 | 7 | 2023 |
| SHAPR predicts 3D cell shapes from 2D microscopic images DJE Waibel, N Kiermeyer, S Atwell, A Sadafi, M Meier, C Marr Iscience 25 (11), 2022 | 6 | 2022 |
| Built to last? Reproducibility and reusability of deep learning algorithms in computational pathology SJ Wagner, C Matek, SS Boushehri, M Boxberg, L Lamm, A Sadafi, ... Modern Pathology 37 (1), 100350, 2024 | 5 | 2024 |
| A continual learning approach for cross-domain white blood cell classification A Sadafi, R Salehi, A Gruber, SS Boushehri, P Giehr, N Navab, C Marr MICCAI Workshop on Domain Adaptation and Representation Transfer, 136-146, 2023 | 3 | 2023 |
| Pixel-level explanation of multiple instance learning models in biomedical single cell images A Sadafi, O Adonkina, A Khakzar, P Lienemann, RM Hehr, D Rueckert, ... International Conference on Information Processing in Medical Imaging, 170-182, 2023 | 3 | 2023 |
| Anomaly-aware multiple instance learning for rare anemia disorder classification S Kazeminia, A Sadafi, A Makhro, A Bogdanova, S Albarqouni, C Marr International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 3 | 2022 |
| Sickle cell disease severity prediction from percoll gradient images using graph convolutional networks A Sadafi, A Makhro, L Livshits, N Navab, A Bogdanova, S Albarqouni, ... Domain Adaptation and Representation Transfer, and Affordable Healthcare and …, 2021 | 3 | 2021 |
| Multiple mice tracking and segmentation through SIFT flow analysis A Sadafi, VM Katsageorgiou, H Huang, F Papaleo, V Murino, D Sona Visual observation and analysis of Vertebrate And Insect Behavior 2016 in …, 2016 | 3 | 2016 |
| Active learning enhances classification of histopathology whole slide images with attention-based multiple instance learning A Sadafi, N Navab, C Marr 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 2 | 2023 |
| Fourier transform of percoll gradients boosts CNN classification of hereditary hemolytic anemias A Sadafi, LMM Sans, A Makhro, L Livshits, N Navab, A Bogdanova, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 966-970, 2021 | 2 | 2021 |
| Multiple mice tracking: occlusions disentanglement using a Gaussian mixture model A Sadafi, VM Katsageorgiou, H Huang, F Papaleo, V Murino, D Sona 2018 24th International Conference on Pattern Recognition (ICPR), 2433-2437, 2018 | 2 | 2018 |
| A gate level analysis of transient faults effects on dual-core chip-multi processors M Didehban, A Sadafi, S Salehi, MB Chami 2011 Sixth International Conference on Availability, Reliability and …, 2011 | 2 | 2011 |
| Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images M Deutges, A Sadafi, N Navab, C Marr arXiv preprint arXiv:2404.05584, 2024 | | 2024 |
Carsten MarrInstitute of AI for Health, Helmholtz Zentrum MünchenVerified email at helmholtz-muenchen.de
