FRANCESCO CIOMPI

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FRANCESCO CIOMPI

• HOME PAGE
• PUBLICATIONS
• TEAM
• PROJECTS
  • OVERVIEW
  • IGNITE
  • BIGPICTURE
  • UNIC
  • IMAGIO
  • GENERATOR
  • HEREDITARY
  • COMMITMENT
  • TIGER
  • EXAMODE
  • PROACTING
• SOFTWARE & DATA
• MEDIA
• BLOG

I am a scientist with more than 15 years of experience in medical image analysis and computer vision, working at the intersection of pathology, oncology, and artificial intelligence. As an Associate Professor and Research Group Leader of Artificial Intelligence for Precision Medicine, I lead a multidisciplinary team in the pathology department of the Radboud University Medical Center, developing artificial intelligence models to better understand diseases, discover novel biomarkers, and help physicians to improve their routine diagnostics and select the right treatments to help patients.
 

• AI for precision medicine research group
• Computational Pathology Group
• Diagnostic Image Analysis Group

New publications

[26/04/2024] M. van Rijthoven, W. Aswolinskiy, L. Tessier, M. Balkenhol, J. Bogaerts, D. Drubay, L. Blesa, D. Peeters, E. Stovgaard, A. Laenkholm , H. Haynes, L. Craciun, D. Larsimont, M. Amgad, L. Cooper, C. de Kock, V. Dechering, J. Lotz, N. Weiss, M. van Bockstal, C. Galant, E. Lips, H. Horlings, J. Wesseling, L. Mulder, S. van den Belt, K. Weber, P. Jank, C. Denkert, E. Munari, G. Bogina, C. Russ, A. Lemm, S. Loi, J. Douglas, S. Michiels, H. Joensuu, M. Fan, D. Lee, J. Ye, K. Byun, J. Kim, S. Xu, Z. Ji, F. Xie, J. Kuang, X. Chen, L. Chen, A. Tsakiroglou, R. Byers, M. Fergie, V. Ramanathan, A. Martel, A. Shephard, S. Ahmed Raza, M. Jahanifar, N. Rajpoot, S. Cho, D. Kim, H. Jang, C. Park, K. Kim, R. Donders, S. Maurits, M. Groeneveld, A. Mickan, J. Meakin, B. van Ginneken, R. Salgado, J. van der Laak and F. Ciompi, "Tumor-infiltrating lymphocytes in breast cancer through artificial intelligence: biomarker analysis from the results of the TIGER challenge", https://doi.org/10.1101/2025.02.28.25323078, 2025. [Preprint]

[28/02/2025] M. D'Amato, J. van der Laak and F. Ciompi, ""No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images", arXiv:2502.21109, 2025. https://arxiv.org/abs/2502.21109 [Preprint]

[19/12/2024] W. Aswolinskiy, R. van der Post, M. Simons, E. Munari, M. Campora, C. Baronchelli, L. Ardighieri, S. Vatrano, I. Nagtegaal, J. van der Laak and F. Ciompi, "Attention-based whole-slide image compression achieves pathologist-level pre-screening of multi-organ routine histopathology biopsies", medRxiv, 2024. https://doi.org/10.1101/2024.12.17.24319180 [Preprint]

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francescociompi.com | 2025