MatlabCompat.jl: helping Julia understand Your Matlab/Octave Code. - Vardan Andriasyan; Yauhen Yakimovich; Artur Yakimovich (CoRR, 2017)

Labels in a haystack: Approaches beyond supervised learning in biomedical applications. - Artur Yakimovich; Anaël Beaugnon; Yi Huang; Elif Ozkirimli 001 (Patterns, 2021)

Open-Source Biomedical Image Analysis Models: A Meta-Analysis and Continuous Survey. - Rui Li; Vaibhav Sharma; Subasini Thangamani; Artur Yakimovich (Frontiers Bioinform., 2022)

Sequencing meets machine learning to fight emerging pathogens: A preview. - Artur Yakimovich (Patterns, 2022)

Phenotype-preserving metric design for high-content image reconstruction by generative inpainting. - Vaibhav Sharma; Artur Yakimovich (CoRR, 2023)

Conditional Variational Diffusion Models. - Gabriel della Maggiora; Luis Alberto Croquevielle; Nikita Desphande; Harry Horsley; Thomas Heinis; Artur Yakimovich (CoRR, 2023)

Solving the Inverse Problem of Microscopy Deconvolution with a Residual Beylkin-Coifman-Rokhlin Neural Network. - Rui Li; Mikhail Kudryashev; Artur Yakimovich (ECCV (75), 2024)

Conditional Variational Diffusion Models. - Gabriel della Maggiora; Luis Alberto Croquevielle; Nikita Deshpande; Harry Horsley; Thomas Heinis; Artur Yakimovich (ICLR, 2024)

Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network. - Rui Li 104; Mikhail Kudryashev; Artur Yakimovich (CoRR, 2024)

Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models. - Gabriel della Maggiora; Luis Alberto Croquevielle; Harry Horsley; Thomas Heinis; Artur Yakimovich (AAAI, 2025)

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects. - Trina De; Adrian Urbanski; Artur Yakimovich (CoRR, 2025)