Robertas Damaševičius
Robertas Damaševičius
Kaunas University of Technology, Vytautas Magnus University, Silesian University of Technology
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Cited by
Cited by
A novel transfer learning based approach for pneumonia detection in chest X-ray images
V Chouhan, SK Singh, A Khamparia, D Gupta, P Tiwari, C Moreira, ...
Applied Sciences 10 (2), 559, 2020
Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists
MA Khan, I Ashraf, M Alhaisoni, R Damaševičius, R Scherer, A Rehman, ...
Diagnostics 10 (8), 565, 2020
Relationship between convenience, perceived value, and repurchase intention in online shopping in Vietnam
QT Pham, XP Tran, S Misra, R Maskeliūnas, R Damaševičius
Sustainability 10 (1), 156, 2018
Consumer-grade EEG devices: are they usable for control tasks?
R Maskeliunas, R Damasevicius, I Martisius, M Vasiljevas
PeerJ 4, e1746, 2016
COVID-19 image classification using deep features and fractional-order marine predators algorithm
AT Sahlol, D Yousri, AA Ewees, MAA Al-Qaness, R Damasevicius, ...
Scientific reports 10 (1), 15364, 2020
Real-time hand gesture recognition based on deep learning YOLOv3 model
A Mujahid, MJ Awan, A Yasin, MA Mohammed, R Damaševičius, ...
Applied Sciences 11 (9), 4164, 2021
Detecting Parkinson’s disease with sustained phonation and speech signals using machine learning techniques
JS Almeida, PP Rebouças Filho, T Carneiro, W Wei, R Damaševičius, ...
Pattern Recognition Letters 125, 55-62, 2019
Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization
MA Khan, M Sharif, T Akram, R Damaševičius, R Maskeliūnas
Diagnostics 11 (5), 811, 2021
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
ZAA Alyasseri, MA Al‐Betar, IA Doush, MA Awadallah, AK Abasi, ...
Expert systems 39 (3), e12759, 2022
Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion
K Jabeen, MA Khan, M Alhaisoni, U Tariq, YD Zhang, A Hamza, A Mickus, ...
Sensors 22 (3), 807, 2022
An efficient densenet-based deep learning model for malware detection
J Hemalatha, SA Roseline, S Geetha, S Kadry, R Damaševičius
Entropy 23 (3), 344, 2021
Fuzzy based image edge detection algorithm for blood vessel detection in retinal images
F Orujov, R Maskeliūnas, R Damaševičius, W Wei
Applied Soft Computing 94, 106452, 2020
Cloud computing-based framework for breast cancer diagnosis using extreme learning machine
V Lahoura, H Singh, A Aggarwal, B Sharma, MA Mohammed, ...
Diagnostics 11 (2), 241, 2021
Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
MA Kassem, KM Hosny, R Damaševičius, MM Eltoukhy
Diagnostics 11 (8), 1390, 2021
Analysis of features of Alzheimer’s disease: Detection of early stage from functional brain changes in magnetic resonance images using a finetuned ResNet18 network
M Odusami, R Maskeliūnas, R Damaševičius, T Krilavičius
Diagnostics 11 (6), 1071, 2021
A neuro-heuristic approach for recognition of lung diseases from X-ray images
Q Ke, J Zhang, W Wei, D Połap, M Woźniak, L Kośmider, R Damaševĭcius
Expert systems with applications 126, 218-232, 2019
Automated identification of wood veneer surface defects using faster region-based convolutional neural network with data augmentation and transfer learning
A Urbonas, V Raudonis, R Maskeliūnas, R Damaševičius
Applied Sciences 9 (22), 4898, 2019
A prototype SSVEP based real time BCI gaming system
I Martišius, R Damaševičius
Computational intelligence and neuroscience 2016 (1), 3861425, 2016
Cassava disease recognition from low‐quality images using enhanced data augmentation model and deep learning
OO Abayomi‐Alli, R Damaševičius, S Misra, R Maskeliūnas
Expert Systems 38 (7), e12746, 2021
A review of internet of things technologies for ambient assisted living environments
R Maskeliūnas, R Damaševičius, S Segal
Future Internet 11 (12), 259, 2019
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