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Andreas Panteli

PhD Candidate

About

Andreas Panteli is a PhD candidate at the Netherlands Cancer Institute (NKI) working on towards personalised immunotherapy treatment using artificial intelligence for histo-pathological images. He obtained his Master's degree in Artificial Intelligence at the University of Amsterdam (UvA) in 2020 (cum laude) and his Bachelor in Electrical Engineering at the Technical University of Eindhoven (TU/e) 2018 (cum laude). Currently, the work Andreas pursues is related to detecting tumour infiltrating lymphocytes in H&E stained whole slide images in breast cancer patients. He is supervised by Jonas Teuwen, Hugo Horlings and Efstratios Gavves.

  1. Y. Schirris, M. Engelaer, A. Panteli, H. M. Horlings, E. Gavves, J. Teuwen, J. E. Tomaszewski, A. D. Ward, "WeakSTIL: weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need", Medical Imaging 2022: Digital and Computational Pathology, 2022-4-4
  2. A. Panteli, J. Teuwen, H. Horlings, E. Gavves, "Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations", Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021, pp. 2813-2823
  3. A. Panteli, D. K. Gupta, N. Bruijn, E. Gavves, "Siamese Tracking of Cell Behaviour Patterns", Medical Imaging with Deep Learning, 2020-09-21