| Ml4h auditing: From paper to practice L Oala, J Fehr, L Gilli, P Balachandran, AW Leite, S Calderon-Ramirez, ... Machine learning for health, 280-317, 2020 | 46* | 2020 |
| Machine learning for health: algorithm auditing & quality control L Oala, AG Murchison, P Balachandran, S Choudhary, J Fehr, AW Leite, ... Journal of medical systems 45, 1-8, 2021 | 41 | 2021 |
| Improving uncertainty estimation with semi-supervised deep learning for covid-19 detection using chest x-ray images S Calderon-Ramirez, S Yang, A Moemeni, S Colreavy-Donnelly, ... Ieee Access 9, 85442-85454, 2021 | 39 | 2021 |
| Detecting failure modes in image reconstructions with interval neural network uncertainty L Oala, C Heiß, J Macdonald, M März, G Kutyniok, W Samek International Journal of Computer Assisted Radiology and Surgery 16, 2089-2097, 2021 | 28* | 2021 |
| Deutsche Normungsroadmap Künstliche Intelligenz R Adler, A Bunte, S Burton, J Großmann, A Jaschke, P Kleen, JM Lorenz, ... DIN, 2022 | 24 | 2022 |
| Dataset Similarity to Assess Semi-supervised Learning Under Distribution Mismatch Between the Labelled and Unlabelled Datasets SC Ramirez, L Oala, J Torrentes-Barrena, S Yang, D Elizondo, ... IEEE Transactions on Artificial Intelligence, 2022 | 23* | 2022 |
| Data Models for Dataset Drift Controls in Machine Learning With Optical Images L Oala, M Aversa, G Nobis, K Willis, Y Neuenschwander, M Buck, C Matek, ... Transactions on Machine Learning Research (TMLR), 2023 | 5* | 2023 |
| Piloting a survey-based assessment of transparency and trustworthiness with three medical AI tools J Fehr, G Jaramillo-Gutierrez, L Oala, MI Gröschel, M Bierwirth, ... Healthcare 10 (10), 1923, 2022 | 4 | 2022 |
| Machine learning for health (ml4h) 2021 S Roy, S Pfohl, GA Tadesse, L Oala, F Falck, Y Zhou, L Shen, G Zamzmi, ... Machine Learning for Health, 1-12, 2021 | 4 | 2021 |
| Diffinfinite: Large mask-image synthesis via parallel random patch diffusion in histopathology M Aversa, G Nobis, M Hägele, K Standvoss, M Chirica, R Murray-Smith, ... Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| DMLR: Data-centric Machine Learning Research--Past, Present and Future L Oala, M Maskey, L Bat-Leah, A Parrish, NM Gürel, TS Kuo, Y Liu, R Dror, ... arXiv preprint arXiv:2311.13028, 2023 | 3 | 2023 |
| Metrological Machine Learning (2ML) L Oala https://metrological.ml/, 2023 | 2* | 2023 |
| Post-hoc domain adaptation via guided data homogenization K Willis, L Oala arXiv preprint arXiv:2104.03624, 2021 | 2 | 2021 |
| Good practices for health applications of machine learning: Considerations for manufacturers and regulators C Johner, P Balachandran, L Oala, AY Lee, A Werneck Leite, ... ITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H)-Meeting K, 2021 | 2 | 2021 |
| Croissant Format Specification O Benjelloun, E Simperl, P Marcenac, P Ruyssen, C Conforti, M Kuchnik, ... | 1 | 2024 |
| Machine learning for health (ml4h) 2022 A Parziale, M Agrawal, S Tang, K Severson, L Oala, A Subbaswamy, ... Machine Learning for Health, 1-11, 2022 | 1 | 2022 |
| Introducing v0. 5 of the AI Safety Benchmark from MLCommons B Vidgen, A Agrawal, AM Ahmed, V Akinwande, N Al-Nuaimi, N Alfaraj, ... arXiv preprint arXiv:2404.12241, 2024 | | 2024 |
| Croissant: A Metadata Format for ML-Ready Datasets M Akhtar, O Benjelloun, C Conforti, J Giner-Miguelez, N Jain, M Kuchnik, ... arXiv preprint arXiv:2403.19546, 2024 | | 2024 |
| Machine Learning for Health (ML4H) 2023 S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ... Machine Learning for Health (ML4H), 1-12, 2023 | | 2023 |
| Generative Fractional Diffusion Models G Nobis, M Aversa, M Springenberg, M Detzel, S Ermon, S Nakajima, ... arXiv preprint arXiv:2310.17638, 2023 | | 2023 |
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowVerified email at tu-berlin.de
