| Convolutional capsule network for classification of breast cancer histology images T Iesmantas, R Alzbutas Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018 | 107 | 2018 |
| Risk and uncertainty analysis of gas pipeline failure and gas combustion consequence R Alzbutas, T Iešmantas, M Povilaitis, J Vitkutė Stochastic environmental research and risk assessment 28, 1431-1446, 2014 | 50 | 2014 |
| Convolutional neural network for detection and classification of seizures in clinical data T Iešmantas, R Alzbutas Medical & Biological Engineering & Computing 58, 1919-1932, 2020 | 38 | 2020 |
| Failure rate modeling using fault tree analysis and Bayesian network: DEMO pulsed operation turbine study case DN Dongiovanni, T Iesmantas Fusion Engineering and Design 109, 613-617, 2016 | 34 | 2016 |
| Application of Bayesian methods for age‐dependent reliability analysis R Alzbutas, T Iešmantas Quality and Reliability Engineering International 30 (1), 121-132, 2014 | 24 | 2014 |
| Bayesian spatial reliability model for power transmission network lines T Iešmantas, R Alzbutas Electric Power Systems Research 173, 214-219, 2019 | 22 | 2019 |
| Bayesian assessment of electrical power transmission grid outage risk T Iešmantas, R Alzbutas International Journal of Electrical Power & Energy Systems 58, 85-90, 2014 | 20 | 2014 |
| An early stage researcher's primer on systems medicine terminology M Zanin, NAA Aitya, J Basilio, J Baumbach, A Benis, CK Behera, ... Network and systems medicine 4 (1), 2-50, 2021 | 18 | 2021 |
| Enhancing multi-tissue and multi-scale cell nuclei segmentation with deep metric learning T Iesmantas, A Paulauskaite-Taraseviciene, K Sutiene Applied Sciences 10 (2), 615, 2020 | 18 | 2020 |
| Deep learning-based detection of overlapping cells A Paulauskaite-Taraseviciene, K Sutiene, J Valotka, V Raudonis, ... Proceedings of the 3rd International Conference on Advances in Artificial …, 2019 | 13 | 2019 |
| Bayesian reliability of gas network under varying incident registration criteria T Iesmantas, R Alzbutas Quality and Reliability Engineering International 32 (5), 1903-1912, 2016 | 11 | 2016 |
| Age-dependent hierarchical Bayesian modelling for reliability assessment under small data sample T Iešmantas, R Alzbutas Proc. of 11th international probabilistic safety assessment and management …, 2012 | 7 | 2012 |
| Heat treatment process energy efficient design and optimisation I Mendikoa, M Sorli, A Armijo, L García, L Erausquin, M Insunza, J Bilbao, ... Procedia engineering 63, 303-309, 2013 | 5 | 2013 |
| Energy efficiency optimisation in heat treatment process design I Mendikoa, M Sorli, A Armijo, L Garcia, L Erausquin, M Insunza, J Bilbao, ... IFIP International Conference on Advances in Production Management Systems …, 2012 | 4 | 2012 |
| Hazard analysis and consequences assessment of gas pipeline rupture and natural gas explosion E Uspuras, S Rimkevicius, M Povilaitis, T Iesmantas, R Alzbutas WIT Transactions on Ecology and the Environment 148, 495-504, 2011 | 3 | 2011 |
| A framework for detailed numerical simulation of patient-specific cerebrospinal fluid flow for relevant clinical applications E Misiulis, A Džiugys, A Barkauskiene, A Preiksaitis, V Ratkunas, ... | 2 | 2023 |
| Bayesian analysis of heterogeneous reliability data for vulnerability assessment T Iešmantas, R Alzbutas Safety and Reliability 36 (1), 13-23, 2016 | 2 | 2016 |
| Bayesian analysis of electric transmission network outages T Iešmantas, R Alzbutas Proceedings of the 20th advances in risk and reliability technology …, 2013 | 2 | 2013 |
| Exploiting information of fusion component tests for failure rate estimation: Divertor Inner Vertical Target component study case DN Dongiovanni, T Iesmantas, P Gavila, T Pinna Fusion Engineering and Design 136, 1629-1633, 2018 | 1 | 2018 |
| Maintenance of power systems considering time-dependent uncertainty T Iesmantas, R Alzbutas | 1 | 2015 |
Mantas PovilaitisLithuanian Energy InstituteVerified email at povilaitis.eu
