Sotirios Tsaftaris

PROF

Accepting PhD Students

PhD projects

machine learning in medical imaging
computer vision and invariant learning
transfer learning and multimodal learning
foundation models for health and science

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  • 2023

    A Causal Ordering Prior for Unsupervised Representation Learning

    Kori, A., Sanchez, P., Vilouras, K., Glocker, B. & Tsaftaris, S. A., 11 Jul 2023, ArXiv.

    Research output: Working paperPreprint

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  • Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models

    Fernandez, V., Sanchez, P., Pinaya, W. H. L., Jacenków, G., Tsaftaris, S. A. & Cardoso, J., 2 Jun 2023, ArXiv.

    Research output: Working paperPreprint

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  • The role of noise in denoising models for anomaly detection in medical images

    Kascenas, A., Sanchez, P., Schrempf, P., Wang, C., Clackett, W., Mikhael, S. S., Voisey, J. P., Goatman, K., Weir, A., Pugeault, N., Tsaftaris, S. A. & O'Neil, A. Q., 2023, ArXiv.

    Research output: Working paperPreprint

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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., Arbel, T., Bakas, S., Benis, A., Blaschko, M., Büttner, F., Cardoso, M. J., Cheplygina, V., Chen, J., Christodoulou, E., Cimini, B. A., & 58 othersCollins, G. S., Farahani, K., Ferrer, L., Galdran, A., Ginneken, B. V., Glocker, B., Godau, P., Haase, R., Hashimoto, D. A., Hoffman, M. M., Huisman, M., Isensee, F., Jannin, P., Kahn, C. E., Kainmueller, D., Kainz, B., Karargyris, A., Karthikesalingam, A., Kenngott, H., 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., Mattson, P., 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., Smeden, M. V., Summers, R. M., Taha, A. A., Tiulpin, A., Tsaftaris, S. A., Calster, B. V., Varoquaux, G., Wiesenfarth, M., Yaniv, Z. R., Jäger, P. F. & Maier-Hein, L., 2023, ArXiv.

    Research output: Working paperPreprint

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  • 2022

    Unintended memorisation of unique features in neural networks

    Hartley, J. & Tsaftaris, S. A., 2022, ArXiv.

    Research output: Working paperPreprint

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  • 2021
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  • Common Limitations of Image Processing Metrics: A Picture Story

    Reinke, A., Tizabi, M. D., Sudre, C. H., Eisenmann, M., Rädsch, T., Baumgartner, M., Acion, L., Antonelli, M., Bakas, S., Bankhead, P., Benis, A., Cardoso, M. J., Cheplygina, V., Christodoulou, E., Cimini, B., Collins, G. S., Farahani, K., Ginneken, B. V., Glocker, B., Godau, P., & 56 othersHamprecht, F., Hashimoto, D. A., Heckmann-Nötzel, D., Hoffman, M. M., Huisman, M., Isensee, F., Jannin, P., Kahn, C. E., Karargyris, A., Karthikesalingam, A., Kainz, B., Kavur, E., Kenngott, H., Kleesiek, J., Kooi, T., Kozubek, M., Kreshuk, A., Kurc, T., Landman, B. A., Litjens, G., Madani, A., Maier-Hein, K., Martel, A. L., Mattson, P., Meijering, E., Menze, B., Moher, D., Moons, K. G. M., Müller, H., Nichyporuk, B., Nickel, F., Noyan, M. A., Petersen, J., Polat, G., Rajpoot, N., Reyes, M., Rieke, N., Riegler, M., Rivaz, H., Saez-Rodriguez, J., Gutierrez, C. S., Schroeter, J., Saha, A., Shetty, S., Smeden, M. V., Stieltjes, B., Summers, R. M., Taha, A. A., Tsaftaris, S. A., Calster, B. V., Varoquaux, G., Wiesenfarth, M., Yaniv, Z. R., Kopp-Schneider, A., Jäger, P. & Maier-Hein, L., 2021, ArXiv.

    Research output: Working paperPreprint

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  • Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts

    Valvano, G., Leo, A. & Tsaftaris, S. A., 2021, ArXiv.

    Research output: Working paperPreprint

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  • 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., 2021, ArXiv.

    Research output: Working paperPreprint

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  • 2020

    Teacher-Student chain for efficient semi-supervised histology image classification

    Shaw, S., Pajak, M., Lisowska, A., Tsaftaris, S. A. & O'Neil, A. Q., 2020, ArXiv.

    Research output: Working paperPreprint

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