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Dmytro Fishman
Dmytro Fishman
Lecturer of Artificial Intelligence, University of Tartu
Verified email at ut.ee
Title
Cited by
Cited by
Year
AIRE-deficient patients harbor unique high-affinity disease-ameliorating autoantibodies
S Meyer, M Woodward, C Hertel, P Vlaicu, Y Haque, J Kärner, A Macagno, ...
Cell 166 (3), 582-595, 2016
2012016
A survey of end-to-end driving: Architectures and training methods
A Tampuu, T Matiisen, M Semikin, D Fishman, N Muhammad
IEEE Transactions on Neural Networks and Learning Systems, 2020
662020
Computational biology: deep learning
W Jones, A Alasoo, Kaur, D Fishman, L Parts
Emerging Topics in Life Sciences 1 ((3)), 257-274;, 2017
622017
DOME: recommendations for supervised machine learning validation in biology
I Walsh, D Fishman, D Garcia-Gasulla, T Titma, G Pollastri, J Harrow, ...
Nature methods 18 (10), 1122-1127, 2021
382021
The metabolic analysis of psoriasis identifies the associated metabolites while providing computational models for the monitoring of the disease
A Ottas, D Fishman, TL Okas, K Kingo, U Soomets
Archives of dermatological research 309 (7), 519-528, 2017
302017
Autoantibody Repertoire in APECED Patients Targets Two Distinct Subgroups of Proteins
D Fishman, K Kisand, C Hertel, M Rothe, A Remm, M Pihlap, P Adler, ...
Frontiers in immunology, 2017
302017
APECED patient collaborative. 2016. AIRE-deficient patients harbor unique high-affinity disease-ameliorating autoantibodies
S Meyer, M Woodward, C Hertel, P Vlaicu, Y Haque, J Kärner, A Macagno, ...
Cell 166, 582-595, 0
23*
Blood serum metabolome of atopic dermatitis: Altered energy cycle and the markers of systemic inflammation
A Ottas, D Fishman, TL Okas, T Püssa, P Toomik, A Märtson, K Kingo, ...
PLoS One 12 (11), e0188580, 2017
142017
Multiplex analysis of 40 cytokines do not allow separation between endometriosis patients and controls
T Knific, D Fishman, A Vogler, M Gstöttner, R Wenzl, H Peterson, ...
Scientific reports 9 (1), 1-12, 2019
122019
Practical segmentation of nuclei in brightfield cell images with neural networks trained on fluorescently labelled samples
D Fishman, SO Salumaa, D Majoral, T Laasfeld, S Peel, J Wildenhain, ...
Journal of Microscopy 284 (1), 12-24, 2021
10*2021
Evaluating very deep convolutional neural networks for nucleus segmentation from brightfield cell microscopy images
MAS Ali, O Misko, SO Salumaa, M Papkov, K Palo, D Fishman, L Parts
SLAS DISCOVERY: Advancing the Science of Drug Discovery 26 (9), 1125-1137, 2021
72021
Response to comment on'AIRE-deficient patients harbor unique high-affinity disease-ameliorating autoantibodies'
C Hertel, D Fishman, A Lorenc, A Ranki, K Krohn, P Peterson, K Kisand, ...
Elife 8, e45826, 2019
32019
UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
MJ Tahk, J Torp, MAS Ali, D Fishman, L Parts, L Grätz, C Müller, M Keller, ...
University of Tartu, Institute of Chemistry, Chair of Bioorganic chemistry, 2022
22022
PAWER: protein array web exploreR
D Fishman, I Kuzmin, P Adler, J Vilo, H Peterson
BMC bioinformatics 21 (1), 1-8, 2020
22020
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data
O Bayraktar, D Fishman, K Palo, L Parts
Machine Learning for Medical Image Reconstruction: 4th International …, 0
2*
Live-cell microscopy or fluorescence anisotropy with budded baculoviruses—which way to go with measuring ligand binding to M4 muscarinic receptors?
MJ Tahk, J Torp, MAS Ali, D Fishman, L Parts, L Grätz, C Müller, M Keller, ...
Open Biology 12 (6), 220019, 2022
12022
ArtSeg—Artifact segmentation and removal in brightfield cell microscopy images without manual pixel-level annotations
MAS Ali, K Hollo, T Laasfeld, J Torp, MJ Tahk, A Rinken, K Palo, L Parts, ...
Scientific Reports 12 (1), 1-13, 2022
2022
Developing a data analysis pipeline for automated protein profiling in immunology
D Fishman
arXiv preprint arXiv:2201.06074, 2022
2022
Fast approximate max-correlation queries
D Fishman
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Articles 1–19