Sotirios Tsaftaris

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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 paper › Preprint

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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 paper › Preprint

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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 paper › Preprint

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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 others, Collins, 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 paper › Preprint

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  • 2022

    Unintended memorisation of unique features in neural networks

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

    Research output: Working paper › Preprint

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  • 2021

    Tail of Distribution GAN (TailGAN): Generative- Adversarial-Network-Based Boundary Formation

    Dionelis, N., Yaghoobi Vaighan, M. & Tsaftaris, S. A., 24 Jul 2021, ArXiv.

    Research output: Working paper › Preprint

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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 others, Hamprecht, 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 paper › Preprint

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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 paper › Preprint

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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 paper › Preprint

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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 paper › Preprint

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