Canon Medical / RAEng Senior Research Fellow in Healthcare AI

Search results

  • 2024

    Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models

    Vilouras, K., Sanchez, P., O'neil, A. Q. & Tsaftaris, S. A., 8 Nov 2024, (E-pub ahead of print) In: IEEE Journal of Biomedical and Health Informatics. p. 1-10

    Research output: Contribution to journal › Article › peer-review

    Open Access
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  • BMFT: Achieving fairness via bias-based weight masking fine-tuning

    Xue, Y., Yan, J., Dutt, R., Haider, F., Liu, J., McDonagh, S. & Tsaftaris, S. A., 15 Jul 2024, (Accepted/In press) International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
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  • 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 journal › Article › peer-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 others, Antonelli, 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 journal › Article › peer-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 others, Galdran, 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 journal › Article › peer-review

    Open Access
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  • 2023

    Neural networks memorise personal information from one sample

    Hartley, J., Sanchez, P., Haider, F. & Tsaftaris, S. A., Dec 2023, In: Scientific Reports. 13, 1, p. 21366 21366.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • 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, 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 proceeding › Conference 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, 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 proceeding › Conference 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, 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 proceeding › Conference 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, 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 proceeding › Conference 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 others, Mukhopadhyay, 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 journal › Article › peer-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 conference › Paper › peer-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, 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 proceeding › Conference 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 journal › Article › peer-review

    Open Access

  • Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification

    Xia, T., Sanchez, P., Qin, C. & Tsaftaris, S. A., 30 Nov 2022, (E-pub ahead of print) In: Frontiers in Radiology.

    Research output: Contribution to journal › Article › peer-review

    Open Access
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  • 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, 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 proceeding › Conference 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, 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 proceeding › Conference contribution

  • Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks

    Campello, V. M., Xia, T., Liu, X., Sanchez, P., Martín-isla, C., Petersen, S. E., Seguí, S., Tsaftaris, S. A. & Lekadir, K., 23 Sept 2022, In: Frontiers in Cardiovascular Medicine. 9, p. 983091

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • vMFNet: Compositionality Meets Domain-generalised Segmentation

    Liu, X., Thermos, S., Sanchez, P., O’Neil, A. & Tsaftaris, S. A., 17 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 VII. Springer, Vol. 13437. p. 704–714 (Lecture Notes in Computer Science; vol. 13437).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
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  • 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 proceeding › Conference 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 journal › Article › peer-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). Institute of Electrical and Electronics Engineers, (International Symposium on Biomedical Imaging Proceedings; vol. 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference 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 journal › Article › peer-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, 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 proceeding › Conference 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, 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 proceeding › Conference 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 proceeding › Conference 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, 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 proceeding › Conference 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 journal › Article › peer-review

    Open Access
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  • Disentangled Representations for Domain-generalized Cardiac Segmentation

    Liu, X., Thermos, S., Chartsias, A., O'Neil, A. & Tsaftaris, S., 29 Jan 2021, (E-pub ahead of print) STACOM: International Workshop on Statistical Atlases and Computational Models of the Heart: Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges. Springer, p. 187-195 (Lecture Notes in Computer Science; vol. 12592).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
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  • 2020

    Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling

    Jiang, H., Wang, C., Chartsias, A. & Tsaftaris, S., 21 Dec 2020, (E-pub ahead of print) MyoPS: Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge: Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images. Springer, p. 68-81 (Lecture Notes in Computer Science ; vol. 12554).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    File

  • Disentangle, align and fuse for multimodal and semi-supervised image segmentation

    Chartsias, A., Papanastasiou, G., Wang, C., Semple, S., Newby, D., Dharmakumar, R. & Tsaftaris, S. A., 6 Nov 2020, (E-pub ahead of print) In: IEEE Transactions on Medical Imaging. p. 1-10 10 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
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  • Semi-supervised Pathology Segmentation with Disentangled Representations

    Jiang, H., Chartsias, A., Zhang, X., Papanastasiou, G., Semple, S., Dweck, M., Semple, D., Dharmakumar, R. & Tsaftaris, S., 26 Sept 2020, (E-pub ahead of print) DART: MICCAI Workshop on Domain Adaptation and Representation Transfer : Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. Springer, p. 62-72 (Lecture Notes in Computer Science; vol. 12444).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
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  • Pseudo-healthy synthesis with pathology disentanglement and adversarial learning

    Xia, T., Chartsias, A. & Tsaftaris, S., Aug 2020, In: Medical Image Analysis. 64, 101719.

    Research output: Contribution to journal › Article › peer-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 proceeding › Conference 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 proceeding › Conference contribution

    Open Access
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  • Multimodal cardiac segmentation using disentangled representations

    Chartsias, A., Papanastasiou, G., Wang, C., Stirrat, C., Semple, S., Newby, D., Dharmakumar, R. & Tsaftaris, S., 9 Aug 2019, (Accepted/In press) STACOM: Statistical Atlases and Computational Models of the Heart.. Springer

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
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