MM
Marcin Możejko
cs.LGbioinformaticscs.CVstat.MLeess.IVcs.CLImage Processing, Computer-Assistedtumor microenvironmentAnti-Infective AgentsAntimicrobial Cationic Peptides
On Valency
published · living versionsW_5txyfx4z·v1 · currentpublished
Preprints & journals
21 papers in the corpus · 2018–2026A multi-omics analysis of advanced triple-negative breast cancer identifies predictors to chemo-immunotherapy and on-treatment dynamics.42810342 · Van Renne, Nicolaas, Agostinetto, Elisa, Joaquín García, Andrea et al.2026 · 0 citationsCell reports. Medicine. 2026;7(10):103080
Modelling interpretable patient-level representationsfrom structured and simple multimodal data10.64898/2026.08.31.748244v1 · Oksza-Orzechowski, K., Lazecka, M., Koperski, L. et al.2026 · 0 citationsbioRxiv
Shieldstral2607.25857v2 · Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli et al.2026 · 0 citationsarXiv
Pathogen-specific host responses define distinct pneumonia endotypes in the human lung.42182519 · Markov, Nikolay S, Możejko, Marcin, Guggilla, Vijeeth et al.2026 · 1 citationbioRxiv : the preprint server for biology. 2026
A universal taxonomic and functional human gut microbiome model for disease classification and phenotype discovery10.64898/2026.04.30.721924v1 · Karwowska, Z., Mozejko, M., Nowak, W. et al.2026 · 0 citationsbioRxiv
ImmuVis: Hyperconvolutional Foundation Model for Imaging Mass Cytometry2602.04585v2 · Dawid Uchal, Marcin Możejko, Krzysztof Gogolewski et al.2026 · 1 citationarXiv
In silico perturbations provide multivariate interpretability in predicting post-lung transplant outcomes.41507247 · Luo, Lucy, Możejko, Marcin, Markov, Nikolay S et al.2026 · 2 citationsScientific reports. 2026;16(1):3699
Comprehensive characterization of early-stage Non-Small Cell Lung cancers with multi-modal data integration10.1101/2025.11.10.25339890v1 · Schulz, D., Morfouace, M., Fernandez, B. P. et al.2025 · 0 citationsmedRxiv
Cellohood: multi-granular discovery of cellular neighborhoods with a permutation-invariant set transformer auto-encoder10.1101/2025.11.10.687184v1 · Mozejko, M., Schulz, D., Gogolewski, K. et al.2025 · 1 citationbioRxiv
PepCompass: Navigating peptide embedding spaces using Riemannian Geometry2510.01988v5 · Marcin Możejko, Adam Bielecki, Jurand Pradzy'nski et al.2025 · 0 citationsarXiv
Multi-modal image analysis for large-scale cancer tissue studies within IMMUcan.40930089 · Eling, Nils, Dorier, Julien, Rusakiewicz, Sylvie et al.2025 · 9 citationsCell reports methods. 2025;5(9):101170
Author Correction: Discovering highly potent antimicrobial peptides with deep generative model HydrAMP.37612279 · Szymczak, Paulina, Możejko, Marcin, Grzegorzek, Tomasz et al.2023 · 7 citationsNature communications. 2023;14(1):5129
Discovering highly potent antimicrobial peptides with deep generative model HydrAMP.36922490 · Szymczak, Paulina, Możejko, Marcin, Grzegorzek, Tomasz et al.2023 · 230 citationsNature communications. 2023;14(1):1453
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction2206.03555v1 · Krzysztof Koras, Marcin Możejko, Paulina Szymczak et al.2022 · 0 citationsarXiv
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results2005.04117v1 · Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte et al.2020 · 83 citationsarXiv
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results2005.02291v3 · Dario Fuoli, Zhiwu Huang, Martin Danelljan et al.2020 · 16 citationsarXiv
Superkernel Neural Architecture Search for Image Denoising2004.08870v1 · Marcin Możejko, Tomasz Latkowski, \Lukasz Treszczotko et al.2020 · 19 citationsarXiv
ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning.31586139 · Rączkowska, Alicja, Możejko, Marcin, Zambonelli, Joanna et al.2020 · 123 citationsScientific reports. 2019;9(1):14347
Exploiting Unsupervised Pre-training and Automated Feature Engineering for Low-resource Hate Speech Detection in Polish1906.09325v1 · Renard Korzeniowski, RafałRolczy'nski, Przemys\law Sadownik et al.2019 · 3 citationsProceedings of the PolEval 2019 Workshop
Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks1812.00401v3 · PawełGora, Maciej Brzeski, Marcin Możejko et al.2018 · 4 citationsarXiv
Inhibited Softmax for Uncertainty Estimation in Neural Networks1810.01861v2 · Marcin Możejko, Mateusz Susik, RafałKarczewski2018 · 20 citationsarXiv
Career total: 30 works. 21 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.