| Pathology GAN: Learning deep representations of cancer tissue AC Quiros, R Murray-Smith, K Yuan Journal of Machine Learning for Biomedical Imaging 4 (Special Issue: MIDL …, 2021 | 87 | 2021 |
| Adversarial learning of cancer tissue representations AC Quiros, N Coudray, A Yeaton, W Sunhem, R Murray-Smith, A Tsirigos, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 11* | 2021 |
| Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides AC Quiros, N Coudray, A Yeaton, X Yang, B Liu, H Le, L Chiriboga, ... arXiv preprint arXiv:2205.01931, 2022 | 8* | 2022 |
| Learning a low dimensional manifold of real cancer tissue with PathologyGAN AC Quiros, R Murray-Smith, K Yuan arXiv preprint arXiv:2004.06517, 2020 | 8 | 2020 |
| DNNLibGen: Deep neural network based fast library generator E Naswali, AC Quiros, P Chandran 2019 26th IEEE International Conference on Electronics, Circuits and Systems …, 2019 | 6 | 2019 |
| Self-supervised learning reveals clinically relevant histomorphological patterns for therapeutic strategies in colon cancer B Liu, M Polack, N Coudray, AC Quiros, T Sakellaropoulos, ... bioRxiv, 2024.02. 26.582106, 2024 | 2 | 2024 |
| Self-supervised artificial intelligence predicts recurrence, metastasis and disease specific death from primary cutaneous squamous cell carcinoma at diagnosis N Coudray, MC Juarez, MC Criscito, AC Quiros, R Wilken, SRJ Cullison, ... Research Square, 2023 | | 2023 |
