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2020 – today
- 2024
[c2]Rui Li, Mikhail Kudryashev, Artur Yakimovich:
Solving the Inverse Problem of Microscopy Deconvolution with a Residual Beylkin-Coifman-Rokhlin Neural Network. ECCV (75) 2024: 378-395- [c1]Gabriel della Maggiora, Luis Alberto Croquevielle, Nikita Deshpande, Harry Horsley, Thomas Heinis, Artur Yakimovich:
Conditional Variational Diffusion Models. ICLR 2024 - [i5]Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley, Thomas Heinis, Artur Yakimovich:
Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion Models. CoRR abs/2406.04388 (2024) - [i4]Rui Li, Mikhail Kudryashev, Artur Yakimovich:
Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network. CoRR abs/2407.03239 (2024) - 2023
- [i3]Vaibhav Sharma, Artur Yakimovich:
Phenotype-preserving metric design for high-content image reconstruction by generative inpainting. CoRR abs/2307.14436 (2023) - [i2]Gabriel della Maggiora
, Luis Alberto Croquevielle, Nikita Desphande, Harry Horsley, Thomas Heinis, Artur Yakimovich:
Conditional Variational Diffusion Models. CoRR abs/2312.02246 (2023) - 2022
- [j3]Rui Li, Vaibhav Sharma, Subasini Thangamani, Artur Yakimovich:
Open-Source Biomedical Image Analysis Models: A Meta-Analysis and Continuous Survey. Frontiers Bioinform. 2 (2022) - [j2]Artur Yakimovich:
Sequencing meets machine learning to fight emerging pathogens: A preview. Patterns 3(2): 100448 (2022) - 2021
- [j1]Artur Yakimovich, Anaël Beaugnon, Yi Huang, Elif Ozkirimli:
Labels in a haystack: Approaches beyond supervised learning in biomedical applications. Patterns 2(12): 100383 (2021)
2010 – 2019
- 2017
- [i1]Vardan Andriasyan, Yauhen Yakimovich, Artur Yakimovich:
MatlabCompat.jl: helping Julia understand Your Matlab/Octave Code. CoRR abs/1701.02220 (2017)
Coauthor Index
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