Oleksandr Kotlyar

Artiklar i tidskrifter

• Le Du-Carrée, J. , Palacios, C. K. , Rotander, A. , Larsson, M. , Alijagic, A. , Kotlyar, O. , Engwall, M. , Sjöberg, V. & et al. (2024). Cocktail effects of tire wear particles leachates on diverse biological models: A multilevel analysis. Journal of Hazardous Materials, 471.
• Alijagic, A. , Kotlyar, O. , Larsson, M. , Salihovic, S. , Hedbrant, A. , Eriksson, U. , Karlsson, P. , Persson, A. & et al. (2024). Immunotoxic, genotoxic, and endocrine disrupting impacts of polyamide microplastic particles and chemicals. Environment International, 183.
• Alijagic, A. , Sinisalu, L. , Duberg, D. , Kotlyar, O. , Scherbak, N. , Engwall, M. , Oresic, M. & Hyötyläinen, T. (2024). Metabolic and phenotypic changes induced by PFAS exposure in two human hepatocyte cell models. Environment International, 190.
• Alijagic, A. , Scherbak, N. , Kotlyar, O. , Karlsson, P. , Wang, X. , Odnevall, I. , Benada, O. , Amiryousefi, A. & et al. (2023). A Novel Nanosafety Approach Using Cell Painting, Metabolomics, and Lipidomics Captures the Cellular and Molecular Phenotypes Induced by the Unintentionally Formed Metal-Based (Nano)Particles. Cells, 12 (2).
• Kotlyar, O. , Kamalian-Kopae, M. , Pankratova, M. , Vasylchenkova, A. , Prilepsky, J. & Turitsyn, S. (2021). Convolutional long short-term memory neural network equalizer for nonlinear Fourier transform-based optical transmission systems. Optics Express, 29 (7), 11254-11267.
• Kotlyar, O. , Pankratova, M. , Kamalian-Kopae, M. , Vasylchenkova, A. , Prilepsky, J. & Turitsyn, S. (2020). Combining nonlinear Fourier transform and neural network-based processing in optical communications. Optics Letters, 45 (13), 3462-3465.

Konferensbidrag

• Alijagic, A. , Scherbak, N. , Kotlyar, O. , Karlsson, P. , Persson, A. , Hedbrant, A. , Norinder, U. , Larsson, M. & et al. (2022). Cell Painting unveils cell response signatures to (nano)particles formed in additive manufacturing. I:  Toxicology Letters. Konferensbidrag vid XVIth International Congress of Toxicology (ICT 2022) - UNITING IN TOXICOLOGY, Maastricht, The Netherlands, September 18-21, 2022. (ss. S226-S227). Elsevier.
• Winkler, N. P. , Kotlyar, O. , Schaffernicht, E. , Fan, H. , Matsukura, H. , Ishida, H. , Neumann, P. P. & Lilienthal, A. (2022). Learning From the Past: Sequential Deep Learning for Gas Distribution Mapping. I: Danilo Tardioli; Vicente Matellán; Guillermo Heredia; Manuel F. Silva; Lino Marques,  ROBOT2022 Fifth Iberian Robotics Conference: Advances in Robotics, Volume 2. Konferensbidrag vid ROBOT2022: Fifth Iberian Robotics Conference, Zaragoza, Spain, November 23-25, 2022. (ss. 178-188). Springer.