| GANs for medical image analysis S Kazeminia, C Baur, A Kuijper, B van Ginneken, N Navab, S Albarqouni, ... Artificial intelligence in medicine 109, 101938, 2020 | 472 | 2020 |
| Bone extraction in X-ray images by analysis of line fluctuations S Kazeminia, N Karimi, B Mirmahboub, SMR Soroushmehr, S Samavi, ... 2015 IEEE International Conference on Image Processing (ICIP), 882-886, 2015 | 19 | 2015 |
| Region of interest extraction for lossless compression of bone X-ray images S Kazeminia, N Karimi, SMR Soroushmehr, S Samavi, H Derksen, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 8 | 2015 |
| Physical attacks in dermoscopy: An evaluation of robustness for clinical deep-learning D Kügler, A Bucher, J Kleemann, A Distergoft, A Jabhe, M Uecker, ... | 6 | 2021 |
| 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 |
| Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification S Kazeminia, M Joosten, D Bosnacki, C Marr arXiv preprint arXiv:2403.05379, 2024 | 1 | 2024 |
| Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification S Kazeminia, A Sadafi, A Makhro, A Bogdanova, C Marr, B Rieck arXiv preprint arXiv:2307.14025, 2023 | 1 | 2023 |
| DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology V Koch, SJ Wagner, S Kazeminia, E Sancar, M Hehr, J Schnabel, T Peng, ... arXiv preprint arXiv:2404.05022, 2024 | | 2024 |
| PXPermute reveals staining importance in multichannel imaging flow cytometry SS Boushehri, A Kornivetc, DJE Winter, S Kazeminia, K Essig, F Schmich, ... Cell Reports Methods 4 (2), 2024 | | 2024 |
| A Data-Driven Solution for the Cold Start Problem in Biomedical Image Classification S Kazeminia, M Březík, C Marr, SS Boushehri | | |
