Mr Adalberto Claudio Quiros

  • Lecturer in Artificial Intelligence (School of Cancer Sciences)

Publications

List by: Type | Date

Jump to: 2025 | 2024 | 2021 | 2020
Number of items: 7.

2025

Coudray, N. et al. (2025) Self supervised artificial intelligence predicts poor outcome from primary cutaneous squamous cell carcinoma at diagnosis. npj Digital Medicine, 8(1), 105. (doi: 10.1038/s41746-025-01496-3) (PMID:39955424) (PMCID:PMC11830021)

Coudray, N., Occidental, M. A., Mantilla, J. G., Claudio Quiros, A., Yuan, K. , Balko, J., Tsirigos, A. and Jour, G. (2025) Quantitative and morphology-based deep convolutional neural network approaches for osteosarcoma survival prediction in the neoadjuvant and metastatic settings. Clinical Cancer Research, 31(2), pp. 365-375. (doi: 10.1158/1078-0432.ccr-24-2599) (PMID:39561274)

2024

Seyedshahi, F. et al. (2024) A histomorphological atlas of resected mesothelioma discovered by self-supervised learning from 3446 whole-slide images. bioRxiv, (doi: 10.1101/2024.11.18.624103)

Liu, D., Young, F., Lamb, K. D., Claudio Quiros, A., Pancheva, A., Miller, C. , Macdonald, C. , Robertson, D. L. and Yuan, K. (2024) PLM-interact: extending protein language models to predict protein-protein interactions. bioRxiv, (doi: 10.1101/2024.11.05.622169)

2021

Claudio Quiros, A., Murray-Smith, R. and Yuan, K. (2021) PathologyGAN: Learning deep representations of cancer tissue. Journal of Machine Learning for Biomedical Imaging, 2021(4), pp. 1-48.

2020

Claudio Quiros, A., Murray-Smith, R. and Yuan, K. (2020) Learning a Low Dimensional Manifold of Real Cancer Tissue with PathologyGAN. NeurIPS 2020 Learning Meaningful Representations of Life, 11 Dec 2020.

Claudio Quiros, A., Murray-Smith, R. and Yuan, K. (2020) PathologyGAN: Learning Deep Representations of Cancer Tissue. In: Third Conference on Medical Imaging with Deep Learning, Montreal, Canada, 6-9 Jul 2020, pp. 669-695.

This list was generated on Sat Mar 29 05:47:56 2025 GMT.
Number of items: 7.

Articles

Coudray, N. et al. (2025) Self supervised artificial intelligence predicts poor outcome from primary cutaneous squamous cell carcinoma at diagnosis. npj Digital Medicine, 8(1), 105. (doi: 10.1038/s41746-025-01496-3) (PMID:39955424) (PMCID:PMC11830021)

Coudray, N., Occidental, M. A., Mantilla, J. G., Claudio Quiros, A., Yuan, K. , Balko, J., Tsirigos, A. and Jour, G. (2025) Quantitative and morphology-based deep convolutional neural network approaches for osteosarcoma survival prediction in the neoadjuvant and metastatic settings. Clinical Cancer Research, 31(2), pp. 365-375. (doi: 10.1158/1078-0432.ccr-24-2599) (PMID:39561274)

Seyedshahi, F. et al. (2024) A histomorphological atlas of resected mesothelioma discovered by self-supervised learning from 3446 whole-slide images. bioRxiv, (doi: 10.1101/2024.11.18.624103)

Liu, D., Young, F., Lamb, K. D., Claudio Quiros, A., Pancheva, A., Miller, C. , Macdonald, C. , Robertson, D. L. and Yuan, K. (2024) PLM-interact: extending protein language models to predict protein-protein interactions. bioRxiv, (doi: 10.1101/2024.11.05.622169)

Claudio Quiros, A., Murray-Smith, R. and Yuan, K. (2021) PathologyGAN: Learning deep representations of cancer tissue. Journal of Machine Learning for Biomedical Imaging, 2021(4), pp. 1-48.

Conference or Workshop Item

Claudio Quiros, A., Murray-Smith, R. and Yuan, K. (2020) Learning a Low Dimensional Manifold of Real Cancer Tissue with PathologyGAN. NeurIPS 2020 Learning Meaningful Representations of Life, 11 Dec 2020.

Conference Proceedings

Claudio Quiros, A., Murray-Smith, R. and Yuan, K. (2020) PathologyGAN: Learning Deep Representations of Cancer Tissue. In: Third Conference on Medical Imaging with Deep Learning, Montreal, Canada, 6-9 Jul 2020, pp. 669-695.

This list was generated on Sat Mar 29 05:47:56 2025 GMT.