Tomasz Krzywicki, PhD

I’m glad you made it all the way here. So I will try to describe briefly and succinctly what I am currently doing in my research work. Here you can find my constantly updated science profile. Perhaps we can find a field for cooperation?

My current research work focuses on applications of computer science in ophthalmology. In particular, these are methods of processing and recognizing retinal fundus images. In the future, I also plan to expand my research activities to OCT scans. I am also involved in the clinical validation of models to support the diagnosis of ocular diseases.

Papers

Below is a list of my publications. For each item I add a score according to the current Polish ministerial list (which applies to me) and an international determinant (Impact Factor, if available).

  • Zbrzezny, A. M., & Krzywicki, T. (2025). Artificial Intelligence in Dermatology: A Review of Methods, Clinical Applications, and Perspectives. Applied Sciences, 15(14), 7856. https://doi.org/10.3390/app15147856 (100pt, IF 2.5)
  • Grzybowski, A.,  Peeters, F.,  Barão, R.C.,  Brona, P.,  Rommes, S.,  Krzywicki, T. et al. (2024)  Evaluating the efficacy of AI systems in diabetic retinopathy detection: A comparative analysis of Mona DR and IDx-DR. Acta Ophthalmologica,  00,  1–8.  https://doi.org/10.1111/aos.17428 (140pt, IF 3.0)
  • Grzybowski, A., Brona, P., Krzywicki, T. et al. Diagnostic Accuracy of Automated Diabetic Retinopathy Image Assessment Software: IDx-DR and RetCAD. Ophthalmol Ther (2024). https://doi.org/10.1007/s40123-024-01049-z (100pt, IF 2.6)
  • Grzybowski, A.; Rao, P.D.; Brona, P.; Negiloni, K.; Krzywicki, T.; Savoy, F.M. Diagnostic accuracy of Automated Diabetic Retinopathy Image Assessment Softwares: IDx-DR and MediosAI. Ophthalmic Res. 2023. https://doi.org/10.1159/000534098 (70 pt, IF 2.1)
  • Krzywicki, T. Jak AutoML zmienia sposób postrzegania uczenia maszynowego? Programista 3/2023 (108). https://programistamag.pl/jak-automl-zmienia-sposob-postrzegania-uczenia-maszynowego/
  • Krzywicki, T.; Brona, P.; Zbrzezny, A.M.; Grzybowski, A.E. A Global Review of Publicly Available Datasets Containing Fundus Images: Characteristics, Barriers to Access, Usability, and Generalizability. J. Clin. Med.2023, 12, 3587. https://doi.org/10.3390/jcm12103587 (140 pt, IF 4.964)
  • Grzybowski, A.; Brona, P.; Krzywicki, T.; Gaca-Wysocka, M.; Berlińska, A.; Święch, A. Variability of Grading DR Screening Images among Non-Trained Retina Specialists. J. Clin. Med. 2022, 11, 3125. https://doi.org/10.3390/jcm11113125 (140 pt, IF 4.964)
  • Krzywicki, T. (2019). Application of Meta-Learning Methods in Recognition of Drums on the Basis of Short Soundsamples. Short paper in Proceedings of the 28th International Workshop on Concurrency, Specification and Programming 
  • Krzywicki, T. (2018). Weather and a part of day recognition in the photos using a KNN methodology. In Technical Sciences 21(4). Pages: 291-302.

Books

Editing