| Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools O Diaz, K Kushibar, R Osuala, A Linardos, L Garrucho, L Igual, P Radeva, ... Physica medica 83, 25-37, 2021 | 103 | 2021 |
| FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging K Lekadir, R Osuala, C Gallin, N Lazrak, K Kushibar, G Tsakou, S Aussó, ... arXiv preprint arXiv:2109.09658, 2021 | 84 | 2021 |
| Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging R Osuala, K Kushibar, L Garrucho, A Linardos, Z Szafranowska, S Klein, ... Medical Image Analysis 84, 102704, 2023 | 50* | 2023 |
| medigan: a Python library of pretrained generative models for medical image synthesis R Osuala, G Skorupko, N Lazrak, L Garrucho, E García, S Joshi, S Jouide, ... Journal of Medical Imaging 10 (6), 061403-061403, 2023 | 16* | 2023 |
| Visualization of patient specific disease risk prediction R Osuala, O Arandjelović 2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017 | 15 | 2017 |
| FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare K Lekadir, A Feragen, AJ Fofanah, AF Frangi, A Buyx, A Emelie, A Lara, ... arXiv preprint arXiv:2309.12325, 2023 | 13 | 2023 |
| High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection L Garrucho, K Kushibar, R Osuala, O Diaz, A Catanese, J Del Riego, ... Frontiers in Oncology 12, 1044496, 2023 | 12 | 2023 |
| Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification Z Szafranowska, R Osuala, B Breier, K Kushibar, K Lekadir, O Diaz 16th International Workshop on Breast Imaging (IWBI2022) 12286, 169-177, 2022 | 11 | 2022 |
| Semantic text comparison using artificial intelligence identified source document topics RO Osuala, CM Lohse, BJ Schaper, M Streile, CE Beller US Patent 11,669,686, 2023 | 5 | 2023 |
| Pre-to post-contrast breast MRI synthesis for enhanced tumour segmentation R Osuala, S Joshi, A Tsirikoglou, L Garrucho, WHL Pinaya, O Diaz, ... Medical Imaging 2024: Image Processing 12926, 226-237, 2024 | 4 | 2024 |
| Bringing modern machine learning into clinical practice through the use of intuitive visualization and human–computer interaction R Osuala, J Li, O Arandjelovic Augmented Human Research 4 (1), 3, 2019 | 4 | 2019 |
| nn-UNet training on CycleGAN-translated images for cross-modal domain adaptation in biomedical imaging S Joshi, R Osuala, C Martín-Isla, VM Campello, C Sendra-Balcells, ... International MICCAI Brainlesion Workshop, 540-551, 2021 | 3 | 2021 |
| Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models R Osuala, D Lang, P Verma, S Joshi, A Tsirikoglou, G Skorupko, ... arXiv preprint arXiv:2403.13890, 2024 | 1 | 2024 |
| Revisiting Skin Tone Fairness in Dermatological Lesion Classification T Kalb, K Kushibar, C Cintas, K Lekadir, O Diaz, R Osuala Workshop on Clinical Image-Based Procedures, 246-255, 2023 | 1 | 2023 |
| MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations L Garrucho, CA Reidel, K Kushibar, S Joshi, R Osuala, A Tsirikoglou, ... arXiv preprint arXiv:2406.13844, 2024 | | 2024 |
| Mitigating annotation shift in cancer classification using single-image generative models MB Arcas, R Osuala, K Lekadir, O Díaz 17th International Workshop on Breast Imaging (IWBI 2024) 13174, 512-523, 2024 | | 2024 |
| Breast composition measurements from full-field digital mammograms using generative adversarial networks E García, X Lladó, RM Mann, R Osuala, R Martí 17th International Workshop on Breast Imaging (IWBI 2024) 13174, 181-188, 2024 | | 2024 |
| Selection-based searching using concatenated word and context RO Osuala, CAM Czasch US Patent 11,983,208, 2024 | | 2024 |
| Searching a data source using embeddings of a vector space RO Osuala, DM Stein, A Giovannini US Patent App. 17/934,590, 2024 | | 2024 |
| Leveraging epistemic uncertainty to improve tumour segmentation in breast MRI: an exploratory analysis S Joshi, R Osuala, L Garrucho, A Tsirikoglou, J del Riego, ... Medical Imaging 2024: Image Processing 12926, 292-300, 2024 | | 2024 |
Karim LekadirICREA Research Professor, Universitat de Barcelona在 ub.edu 的电子邮件经过验证
