1 citations · 1 across the 4 of their papers we have counts for
4 papers
ImmuVis: Hyperconvolutional Foundation Model for Imaging Mass Cytometry
Dawid Uchal, Marcin Możejko, Krzysztof Gogolewski +12
We present ImmuVis, a family of efficient foundation models for imaging mass cytometry (IMC), a high-throughput multiplex imaging technology that handles molecular marker measureme…
PepCompass: Navigating peptide embedding spaces using Riemannian Geometry
Marcin Możejko, Adam Bielecki, Jurand Prądzyński +10
Antimicrobial peptide discovery is challenged by the astronomical size of peptide space and the relative scarcity of active peptides. Generative models provide continuous latent "m…
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction
Krzysztof Koras, Marcin Możejko, Paulina Szymczak +2
Recent emergence of high-throughput drug screening assays sparkled an intensive development of machine learning methods, including models for prediction of sensitivity of cancer ce…
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…