Nikolas Stathonikos

Assistant Professor

Strategic program(s):

Contact

Pure profile

Research groups

AI in pathology

Research aim

To develop, validate, and implement AI in digital pathology practice

Go to group

Recent publications

All publications

Artificial Intelligence-Based Sentinel Lymph Node Metastasis Detection in Cervical Cancer † Ilse G.T. Baeten, Jacob P. Hoogendam, Nikolas Stathonikos, Cornelis G. Gerestein, Geertruida N. Jonges, Paul J. van Diest, Ronald P. Zweemer
Cancers, 2024, vol. 16

Breast cancer survival prediction using an automated mitosis detection pipeline Nikolas Stathonikos, Marc Aubreville, Sjoerd de Vries, Frauke Wilm, Christof A Bertram, Mitko Veta, Paul J van Diest
The journal of pathology. Clinical research, 2024, vol. 10

Author Correction C van Dooijeweert, R N Flach, N D Ter Hoeve, C P H Vreuls, R Goldschmeding, J E Freund, P Pham, T Q Nguyen, E van der Wall, G W J Frederix, N Stathonikos, P J van Diest
Nature Cancer, 2024, vol. 5

Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes C van Dooijeweert, R N Flach, N D Ter Hoeve, C P H Vreuls, R Goldschmeding, J E Freund, P Pham, T Q Nguyen, E van der Wall, G W J Frederix, N Stathonikos, P J van Diest
Nature Cancer, 2024, vol. 5, p.1195-1205

Pros and cons of artificial intelligence implementation in diagnostic pathology Paul J van Diest, Rachel N Flach, Carmen van Dooijeweert, Seher Makineli, Gerben E Breimer, Nikolas Stathonikos, Paul Pham, Tri Q Nguyen, Mitko Veta
Histopathology, 2024, vol. 84, p.924-934