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Kirill Veselkov

Showing results (1-10 of 54) with videos related to

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Methods (San Diego, Calif.)|December 12, 2018
The age of data analytics: converting biomedical data into actionable insightsKirill Veselkov, Bjoern Schuller
Methods (San Diego, Calif.)|February 14, 2018
Bi-clustering of metabolic data using matrix factorization toolsQuan Gu, Kirill Veselkov
Bioinformatics (Oxford, England)|March 15, 2018
Exploiting and assessing multi-source data for supervised biomedical named entity recognitionDieter Galea, Ivan Laponogov, Kirill Veselkov
World Journal of Clinical Oncology|June 30, 2021
Phytochemically rich dietary components and the risk of colorectal cancer: A systematic review and meta-analysis of observational studiesPia Borgas, Guadalupe Gonzalez, Kirill Veselkov, et al.
Human Genomics|June 8, 2021
Predicting anticancer hyperfoods with graph convolutional networksGuadalupe Gonzalez, Shunwang Gong, Ivan Laponogov, et al.
Human Genomics|February 22, 2021
Standardized nomenclature and open science in Human GenomicsVasilis Vasiliou, Kirill Veselkov, Elspeth Bruford, et al.
Ebiomedicine|April 5, 2017
Metabolic Profiling in Patients with Pneumonia on Intensive CareDavid Antcliffe, Beatriz Jiménez, Kirill Veselkov, et al.
Bioengineering (Basel, Switzerland)|January 8, 2025
Early Detection of Macular Atrophy Automated Through 2D and 3D Unet Deep LearningWei Wei, Radhika Pooja Patel, Ivan Laponogov, et al.
Nature Biomedical Engineering|September 9, 2025
Combinatorial prediction of therapeutic perturbations using causally inspired neural networksGuadalupe Gonzalez, Xiang Lin, Isuru Herath, et al.
Biorxiv : the Preprint Server for Biology|January 23, 2024
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networksGuadalupe Gonzalez, Xiang Lin, Isuru Herath, et al.
Pageof 6

Showing results (1-10 of 54) with videos related to

Sort By:
Pageof 6
Methods (San Diego, Calif.)|December 12, 2018
The age of data analytics: converting biomedical data into actionable insightsKirill Veselkov, Bjoern Schuller
Methods (San Diego, Calif.)|February 14, 2018
Bi-clustering of metabolic data using matrix factorization toolsQuan Gu, Kirill Veselkov
Bioinformatics (Oxford, England)|March 15, 2018
Exploiting and assessing multi-source data for supervised biomedical named entity recognitionDieter Galea, Ivan Laponogov, Kirill Veselkov
World Journal of Clinical Oncology|June 30, 2021
Phytochemically rich dietary components and the risk of colorectal cancer: A systematic review and meta-analysis of observational studiesPia Borgas, Guadalupe Gonzalez, Kirill Veselkov, et al.
Human Genomics|June 8, 2021
Predicting anticancer hyperfoods with graph convolutional networksGuadalupe Gonzalez, Shunwang Gong, Ivan Laponogov, et al.
Human Genomics|February 22, 2021
Standardized nomenclature and open science in Human GenomicsVasilis Vasiliou, Kirill Veselkov, Elspeth Bruford, et al.
Ebiomedicine|April 5, 2017
Metabolic Profiling in Patients with Pneumonia on Intensive CareDavid Antcliffe, Beatriz Jiménez, Kirill Veselkov, et al.
Bioengineering (Basel, Switzerland)|January 8, 2025
Early Detection of Macular Atrophy Automated Through 2D and 3D Unet Deep LearningWei Wei, Radhika Pooja Patel, Ivan Laponogov, et al.
Nature Biomedical Engineering|September 9, 2025
Combinatorial prediction of therapeutic perturbations using causally inspired neural networksGuadalupe Gonzalez, Xiang Lin, Isuru Herath, et al.
Biorxiv : the Preprint Server for Biology|January 23, 2024
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networksGuadalupe Gonzalez, Xiang Lin, Isuru Herath, et al.
Pageof 6