Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Papkov, Mikhail"'
Autor:
Daswani, Mayank, Bellaiche, Mathias M. J., Wilson, Marc, Ivanov, Desislav, Papkov, Mikhail, Schnider, Eva, Tang, Jing, Lamerigts, Kay, Botea, Gabriela, Sanchez, Michael A., Patel, Yojan, Prabhakara, Shruthi, Shetty, Shravya, Telang, Umesh
While multimodal foundation models can now natively work with data beyond text, they remain underutilized in analyzing the considerable amounts of multi-dimensional time-series data in fields like healthcare, finance, and social sciences, representin
Externí odkaz:
http://arxiv.org/abs/2410.02637
Inverse problems in image reconstruction are fundamentally complicated by unknown noise properties. Classical iterative deconvolution approaches amplify noise and require careful parameter selection for an optimal trade-off between sharpness and grai
Externí odkaz:
http://arxiv.org/abs/2308.09426
Metainformation is a common companion to biomedical images. However, this potentially powerful additional source of signal from image acquisition has had limited use in deep learning methods, for semantic segmentation in particular. Here, we incorpor
Externí odkaz:
http://arxiv.org/abs/2308.09411
Autor:
Papkov, Mikhail, Chizhov, Pavel
The essence of self-supervised image denoising is to restore the signal from the noisy image alone. State-of-the-art solutions for this task rely on the idea of masking pixels and training a fully-convolutional neural network to impute them. This mos
Externí odkaz:
http://arxiv.org/abs/2305.05651
Autor:
Papkov, Mikhail, Roberts, Kenny, Madissoon, Lee Ann, Bayraktar, Omer, Fishman, Dmytro, Palo, Kaupo, Parts, Leopold
Biomedical images are noisy. The imaging equipment itself has physical limitations, and the consequent experimental trade-offs between signal-to-noise ratio, acquisition speed, and imaging depth exacerbate the problem. Denoising is, therefore, an ess
Externí odkaz:
http://arxiv.org/abs/2011.05105
Autor:
Ali, Mohammed A.S., Misko, Oleg, Salumaa, Sten-Oliver, Papkov, Mikhail, Palo, Kaupo, Fishman, Dmytro *, Parts, Leopold **
Publikováno v:
In SLAS Discovery October 2021 26(9):1125-1137
Autor:
Ali, Mohammed A. S., Misko, Oleg, Salumaa, Sten-Oliver, Papkov, Mikhail, Palo, Kaupo, Fishman, Dmytro, Parts, Leopold
Supplemental material, sj-pdf-1-jbx-10.1177_24725552211023214 for Evaluating Very Deep Convolutional Neural Networks for Nucleus Segmentation from Brightfield Cell Microscopy Images by Mohammed A. S. Ali, Oleg Misko, Sten-Oliver Salumaa, Mikhail Papk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14001c42a745ba0c1e703cc7ab0444eb
Autor:
Papkov, Mikhail
Erinevate rakkude koos kasvatamine on peamine viis neile loomupäraseima keskkonna loomiseks. Koos kasvatatud rakud suhtlevad omavahel, mis aitab kaasa nende pikemale kasvule laboris võrreldes isoleeritud rakkudega. See on oluline näiteks ravimite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1018::8f93c5f9cebf30fffe2347a7c347192f
http://hdl.handle.net/10062/66412
http://hdl.handle.net/10062/66412
Autor:
Ali, Mohammed A. S., Misko, Oleg, Salumaa, Sten-Oliver, Papkov, Mikhail, Palo, Kaupo, Fishman, Dmytro, Parts, Leopold
Publikováno v:
Journal of Biomolecular Screening; October 2021, Vol. 26 Issue: 9 p1125-1137, 13p
Autor:
Dandage R; Department of Biology, Concordia University, Montreal, Canada.; Centre for Applied Synthetic Biology, Centre for Structural and Functional Genomics, Concordia University, Montreal, Canada., Papkov M; Department of Computer Science, University of Tartu, Tartu, Estonia., Greco BM; Department of Biology, Concordia University, Montreal, Canada.; Centre for Applied Synthetic Biology, Centre for Structural and Functional Genomics, Concordia University, Montreal, Canada., Fishman D; Department of Computer Science, University of Tartu, Tartu, Estonia., Friesen H; The Donnelly Centre, University of Toronto, Toronto, Canada., Wang K; The Donnelly Centre, University of Toronto, Toronto, Canada.; Department of Molecular Genetics, University of Toronto, Toronto, Canada., Styles E; The Donnelly Centre, University of Toronto, Toronto, Canada.; Department of Molecular Genetics, University of Toronto, Toronto, Canada., Kraus O; The Donnelly Centre, University of Toronto, Toronto, Canada.; Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada., Grys B; The Donnelly Centre, University of Toronto, Toronto, Canada.; Department of Molecular Genetics, University of Toronto, Toronto, Canada., Boone C; The Donnelly Centre, University of Toronto, Toronto, Canada.; Department of Molecular Genetics, University of Toronto, Toronto, Canada., Andrews B; The Donnelly Centre, University of Toronto, Toronto, Canada.; Department of Molecular Genetics, University of Toronto, Toronto, Canada., Parts L; Department of Computer Science, University of Tartu, Tartu, Estonia.; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK., Kuzmin E; Department of Biology, Concordia University, Montreal, Canada.; Centre for Applied Synthetic Biology, Centre for Structural and Functional Genomics, Concordia University, Montreal, Canada.; Department of Human Genetics, Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, Canada.
Publikováno v:
BioRxiv : the preprint server for biology [bioRxiv] 2023 Nov 23. Date of Electronic Publication: 2023 Nov 23.