Możejko, Marcin

Discovering highly potent antimicrobial peptides with deep generative model HydrAMP

Szymczak, P., Możejko, M., Grzegorzek, T., Jurczak, R., Bauer, M., Neubauer, D., Sikora, K., Michalski, M., Sroka, J., Setny, P., et al. (2022) · Nature Communications

Antimicrobial Peptides and ActivitiesComputational Drug Discovery Methods

Cited by 231

Discovering highly potent antimicrobial peptides with deep generative model HydrAMP

Szymczak, P., Możejko, M., Grzegorzek, T., Jurczak, R., Bauer, M., Neubauer, D., Sikora, K., Michalski, M., Sroka, J., Setny, P., et al. (2023) · Nature Communications

Antimicrobial Peptides and ActivitiesComputational Drug Discovery Methods

Cited by 231

ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning

Rączkowski, Ł., Możejko, M., Zambonelli, J., & Szczurek, E. (2019) · Scientific Reports

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 124