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Emerging Topics in Life Sciences
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February 2, 2021
Computational biology: deep learning
William Jones, Kaur Alasoo, Dmytro Fishman, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
December 29, 2020
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu, Tambet Matiisen, Maksym Semikin, et al.
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences
|
June 28, 2025
FiBar: A tool for analyzing fiber diameters in complex drug delivery systems from scanning electron microscopy images
Marilin Moor, Laura Männaste, Marta Putrinš, et al.
BMC Bioinformatics
|
September 18, 2020
PAWER: protein array web exploreR
Dmytro Fishman, Ivan Kuzmin, Priit Adler, et al.
Archives of Dermatological Research
|
July 12, 2017
The metabolic analysis of psoriasis identifies the associated metabolites while providing computational models for the monitoring of the disease
Aigar Ottas, Dmytro Fishman, Tiia-Linda Okas, et al.
Scientific Reports
|
November 15, 2019
Multiplex analysis of 40 cytokines do not allow separation between endometriosis patients and controls
Tamara Knific, Dmytro Fishman, Andrej Vogler, et al.
Elife
|
June 28, 2019
Response to comment on 'AIRE-deficient patients harbor unique high-affinity disease-ameliorating autoantibodies'
Christina Hertel, Dmytro Fishman, Anna Lorenc, et al.
Plos One
|
November 28, 2017
Blood serum metabolome of atopic dermatitis: Altered energy cycle and the markers of systemic inflammation
Aigar Ottas, Dmytro Fishman, Tiia-Linda Okas, et al.
SLAS Discovery : Advancing Life Sciences R & D
|
June 25, 2021
Evaluating Very Deep Convolutional Neural Networks for Nucleus Segmentation from Brightfield Cell Microscopy Images
Mohammed A S Ali, Oleg Misko, Sten-Oliver Salumaa, et al.
Journal of Microscopy
|
June 3, 2021
Practical segmentation of nuclei in brightfield cell images with neural networks trained on fluorescently labelled samples
Dmytro Fishman, Sten-Oliver Salumaa, Daniel Majoral, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 22) with videos related to
Sort By:
Page
of 3
Emerging Topics in Life Sciences
|
February 2, 2021
Computational biology: deep learning
William Jones, Kaur Alasoo, Dmytro Fishman, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
December 29, 2020
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu, Tambet Matiisen, Maksym Semikin, et al.
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences
|
June 28, 2025
FiBar: A tool for analyzing fiber diameters in complex drug delivery systems from scanning electron microscopy images
Marilin Moor, Laura Männaste, Marta Putrinš, et al.
BMC Bioinformatics
|
September 18, 2020
PAWER: protein array web exploreR
Dmytro Fishman, Ivan Kuzmin, Priit Adler, et al.
Archives of Dermatological Research
|
July 12, 2017
The metabolic analysis of psoriasis identifies the associated metabolites while providing computational models for the monitoring of the disease
Aigar Ottas, Dmytro Fishman, Tiia-Linda Okas, et al.
Scientific Reports
|
November 15, 2019
Multiplex analysis of 40 cytokines do not allow separation between endometriosis patients and controls
Tamara Knific, Dmytro Fishman, Andrej Vogler, et al.
Elife
|
June 28, 2019
Response to comment on 'AIRE-deficient patients harbor unique high-affinity disease-ameliorating autoantibodies'
Christina Hertel, Dmytro Fishman, Anna Lorenc, et al.
Plos One
|
November 28, 2017
Blood serum metabolome of atopic dermatitis: Altered energy cycle and the markers of systemic inflammation
Aigar Ottas, Dmytro Fishman, Tiia-Linda Okas, et al.
SLAS Discovery : Advancing Life Sciences R & D
|
June 25, 2021
Evaluating Very Deep Convolutional Neural Networks for Nucleus Segmentation from Brightfield Cell Microscopy Images
Mohammed A S Ali, Oleg Misko, Sten-Oliver Salumaa, et al.
Journal of Microscopy
|
June 3, 2021
Practical segmentation of nuclei in brightfield cell images with neural networks trained on fluorescently labelled samples
Dmytro Fishman, Sten-Oliver Salumaa, Daniel Majoral, et al.
Page
of 3