Canon Medical / RAEng Senior Research Fellow in Healthcare AI

Search results

  • 2024

    Compositionally Equivariant Representation Learning

    Liu, X., Sanchez, P., Thermos, S., O'Neil, A. Q. & Tsaftaris, S. A., 1 Jun 2024, In: IEEE Transactions on Medical Imaging. 43, 6, p. 2169-2179

    Research output: Contribution to journalArticlepeer-review

    Open Access
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  • Metrics reloaded: recommendations for image analysis validation

    Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M. D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., Reyes, M., Riegler, M. A., Wiesenfarth, M., Kavur, A. E., Sudre, C. H., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Rädsch, T., Acion, L., & 52 othersAntonelli, M., Bakas, S., Benis, A., Blaschko, M. B., Cardoso, M. J., Cheplygina, V., Cimini, B. A., Collins, G. S., Farahani, K., Ferrer, L., Galdran, A., van Ginneken, B., Haase, R., Hashimoto, D. A., Hoffman, M. M., Huisman, M., Jannin, P., Kahn, C. E., Kainmueller, D., Kainz, B., Karargyris, A., Karthikesalingam, A., Kofler, F., Kopp-Schneider, A., Kreshuk, A., Kurc, T., Landman, B. A., Litjens, G., Madani, A., Maier-Hein, K., Martel, A. L., Mattson, P., Meijering, E., Menze, B., Moons, K. G. M., Müller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rajpoot, N., Rieke, N., Saez-Rodriguez, J., Sánchez, C. I., Shetty, S., van Smeden, M., Summers, R. M., Taha, A. A., Tiulpin, A., Tsaftaris, S. A., Van Calster, B., Varoquaux, G. & Jäger, P. F., 12 Feb 2024, (E-pub ahead of print) In: Nature Methods. 21, 2, p. 195-212

    Research output: Contribution to journalArticlepeer-review

    Open Access
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  • Understanding metric-related pitfalls in image analysis validation

    Reinke, A., Tizabi, M. D., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A. E., Rädsch, T., Sudre, C. H., Acion, L., Antonelli, M., Bakas, S., Benis, A., Buettner, F., Cardoso, M. J., Cheplygina, V., Chen, J., Christodoulou, E., Cimini, B. A., Farahani, K., Ferrer, L., & 49 othersGaldran, A., van Ginneken, B., Glocker, B., Godau, P., Hashimoto, D. A., Hoffman, M. M., Huisman, M., Isensee, F., Jannin, P., Kahn, C. E., Kainmueller, D., Kainz, B., Karargyris, A., Kleesiek, J., Kofler, F., Kooi, T., Kopp-Schneider, A., Kozubek, M., Kreshuk, A., Kurc, T., Landman, B. A., Litjens, G., Madani, A., Maier-Hein, K., Martel, A. L., Meijering, E., Menze, B., Moons, K. G. M., Müller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rafelski, S. M., Rajpoot, N., Reyes, M., Riegler, M. A., Rieke, N., Saez-Rodriguez, J., Sánchez, C. I., Shetty, S., Summers, R. M., Taha, A. A., Tiulpin, A., Tsaftaris, S. A., Van Calster, B., Varoquaux, G., Yaniv, Z. R., Jäger, P. F. & Maier-Hein, L., 12 Feb 2024, (E-pub ahead of print) In: Nature Methods. 21, 2, p. 182-194

    Research output: Contribution to journalArticlepeer-review

    Open Access
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  • 2023

    Group Distributionally Robust Knowledge Distillation

    Vilouras, K., Liu, X., Sanchez, P., O’Neil, A. Q. & Tsaftaris, S. A., 15 Oct 2023, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 234-242 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14349 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Compositional Representation Learning for Brain Tumour Segmentation

    Liu, X., Kascenas, A., Watson, H., Tsaftaris, S. A. & O’Neil, A. Q., 14 Oct 2023, Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Proceedings. Koch, L., Cardoso, M. J., Ferrante, E., Kamnitsas, K., Islam, M., Jiang, M., Rieke, N., Tsaftaris, S. A. & Yang, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 41-51 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14293 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Debiasing Counterfactuals in the Presence of Spurious Correlations

    Kumar, A., Fathi, N., Mehta, R., Nichyporuk, B., Falet, J. P. R., Tsaftaris, S. & Arbel, T., 9 Oct 2023, Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023, Proceedings. Wesarg, S., Oyarzun Laura, C., Puyol Antón, E., King, A. P., Baxter, J. S. H., Erdt, M., Drechsler, K., Freiman, M., Chen, Y., Rekik, I., Eagleson, R., Feragen, A., Cheplygina, V., Ganz-Benjaminsen, M., Ferrante, E., Glocker, B., Moyer, D. & Petersen, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 276-286 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14242 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction

    Du, Y., Xue, Y., Dharmakumar, R. & Tsaftaris, S. A., 9 Oct 2023, Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023, Proceedings. Wesarg, S., Oyarzun Laura, C., Puyol Antón, E., King, A. P., Baxter, J. S. H., Erdt, M., Drechsler, K., Freiman, M., Chen, Y., Rekik, I., Eagleson, R., Feragen, A., Cheplygina, V., Ganz-Benjaminsen, M., Ferrante, E., Glocker, B., Moyer, D. & Petersen, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 102-111 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14242 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging

    Pati, S., Thakur, S. P., Bhalerao, M., Thermos, S., Baid, U., Gotkowski, K., Gonzalez, C., Guley, O., Hamamci, I. E., Er, S., Grenko, C., Edwards, B., Sheller, M., Agraz, J., Baheti, B., Bashyam, V., Sharma, P., Haghighi, B., Gastounioti, A., Bergman, M., & 6 othersMukhopadhyay, A., Tsaftaris, S. A., Menze, B., Kontos, D., Davatzikos, C. & Bakas, S., 16 May 2023, (E-pub ahead of print) In: Communications Engineering. 2, 23.

    Research output: Contribution to journalArticlepeer-review

    Open Access
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  • Diffusion Models for Causal Discovery via Topological Ordering

    Sanchez, P., Liu, X., O'Neil, A. Q. & Tsaftaris, S. A., 1 Feb 2023, (E-pub ahead of print). 20 p.

    Research output: Contribution to conferencePaperpeer-review

    Open Access
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  • HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information

    Liu, X., Thermos, S., Sanchez, P., O’Neil, A. Q. & Tsaftaris, S. A., 1 Feb 2023, Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Proceedings. Fragemann, J., Li, J., Egger, J., Liu, X., Tsaftaris, S. A. & Kleesiek, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 15-21 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13823 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2022

    Survey: Leakage and Privacy at Inference Time

    Jegorova, M., Kaul, C., Mayor, C., O'Neil, A. Q., Weir, A., Murray-Smith, R. & Tsaftaris, S. A., 15 Dec 2022, (E-pub ahead of print) In: IEEE Transactions on Pattern Analysis and Machine Intelligence. p. 1-20 20 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers

    Kumar, A., Hu, A., Nichyporuk, B., Falet, J. P. R., Arnold, D. L., Tsaftaris, S. & Arbel, T., 20 Nov 2022, Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery - 1st MICCAI Workshop, AIIIMA 2022, and 1st MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Proceedings. Kakileti, S. T., Manjunath, G., Gabrani, M., Rosen-Zvi, M., Braman, N., Schwartz, R. G., Frangi, A. F., Chung, P-C., Weight, C. & Jagadish, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 113-124 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13602 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • What is Healthy? Generative Counterfactual Diffusion for Lesion Localization

    Sanchez, P., Kascenas, A., Liu, X., O’Neil, A. Q. & Tsaftaris, S. A., 8 Oct 2022, Deep Generative Models - 2nd MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Zhu, D. & Yuan, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 34-44 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13609 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Why patient data cannot be easily forgotten?

    Su, R., Liu, X. & Tsaftaris, S. A., 16 Sept 2022, (E-pub ahead of print) Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VIII. Springer, Vol. 13438. p. 632–641 11 p. (Lecture Notes in Computer Science; vol. 13438).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
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  • Learning disentangled representations in the imaging domain

    Liu, X., Sanchez, P., Thermos, S., O’Neil, A. Q. & Tsaftaris, S. A., Aug 2022, In: Medical Image Analysis. 80, p. 102516 1 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers

    Jacenków, G., O'Neil, A. & Tsaftaris, S. A., 26 Apr 2022, (E-pub ahead of print) 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE Xplore, (International Symposium on Biomedical Imaging Proceedings; vol. 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
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  • 2021

    Learning to synthesise the ageing brain without longitudinal data

    Xia, T., Chartsias, A., Wang, C. & Tsaftaris, S. A., Oct 2021, In: Medical Image Analysis. 73

    Research output: Contribution to journalArticlepeer-review

    Open Access
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  • Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation

    Nichyporuk, B., Cardinell, J., Szeto, J., Mehta, R., Tsaftaris, S., Arnold, D. L. & Arbel, T., 21 Sept 2021, Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - 3rd MICCAI Workshop, DART 2021, and 1st MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Proceedings. Albarqouni, S., Cardoso, M. J., Dou, Q., Kamnitsas, K., Khanal, B., Rekik, I., Rieke, N., Sheet, D., Tsaftaris, S., Xu, D. & Xu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 101-111 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12968 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning

    Valvano, G., Leo, A. & Tsaftaris, S. A., 21 Sept 2021, Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: 3rd MICCAI Workshop, DART 2021, and 1st MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Proceedings. Albarqouni, S., Cardoso, M. J., Dou, Q., Kamnitsas, K., Khanal, B., Rekik, I., Rieke, N., Sheet, D., Tsaftaris, S., Xu, D. & Xu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 14-24 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12968 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

    Liu, X., Thermos, S., O'Neil, A. & Tsaftaris, S. A., 21 Sept 2021, (E-pub ahead of print) Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part II. Springer, Vol. 12902. p. 307-317 (Lecture Notes in Computer Science; vol. 12902).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
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  • Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training

    Valvano, G., Leo, A. & Tsaftaris, S. A., 21 Sept 2021, Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Albarqouni, S., Cardoso, M. J., Dou, Q., Kamnitsas, K., Khanal, B., Rekik, I., Rieke, N., Sheet, D., Tsaftaris, S., Xu, D. & Xu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 68-78 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12968 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

    Valvano, G., Leo, A. & Tsaftaris, S. A., 30 Mar 2021, (E-pub ahead of print) In: IEEE Transactions on Medical Imaging. p. 1-14 14 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
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  • 2019

    Consistent Brain Ageing Synthesis

    Alzheimers Disease Neuroimaging Initiative, 13 Oct 2019, Medical Image Computing and Computer Assisted Intervention -MICCAI 2019: 22nd International Conference, Shenzhen, China 13-17 October 2019. Springer, (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
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  • Temporal Consistency Objectives Regularize the Learning of Disentangled Representations

    Valvano, G., Chartsias, A., Leo, A. & Tsaftaris, S. A., 13 Oct 2019, (E-pub ahead of print) Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Springer, Vol. 11795.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
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