Damaševičius, Robertas

A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

Chouhan, V., Singh, S. K., Khamparia, A., Gupta, D., Tiwari, P., Moreira, C., Damaševičius, R., & de Albuquerque, V. H. C. (2020) · Applied Sciences

COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical Imaging

Cited by 753

Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion

Jabeen, K., Khan, M. A., Alhaisoni, M., Tariq, U., Zhang, Y.-D., Hamza, A., Mickus, A., & Damaševičius, R. (2022) · Sensors

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 314

Anxiety level recognition for virtual reality therapy system using physiological signals

Šalkevicius, J., Damaševičius, R., Maskeliunas, R., & Laukienė, I. (2019) · Electronics

Emotion and Mood RecognitionVirtual Reality Applications and Impacts

Cited by 135

MSRNet: Multiclass Skin Lesion Recognition Using Additional Residual Block Based Fine-Tuned Deep Models Information Fusion and Best Feature Selection

Bibi, S., Khan, M. A., Shah, J. H., Damaševičius, R., Alasiry, A., Marzougui, M., Alhaisoni, M., & Masood, A. (2023) · Diagnostics

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 88

SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm

Hussain, M., Khan, M. A., Damaševičius, R., Alasiry, A., Marzougui, M., Alhaisoni, M., & Masood, A. (2023) · Diagnostics

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 58

Optimized convolutional fusion for multimodal neuroimaging in Alzheimer’s disease diagnosis: enhancing data integration and feature extraction

Odusami, M., Maskeliūnas, R., & Damaševičius, R. (2023) · Journal of Personalized Medicine

Dementia and Cognitive Impairment ResearchMultimodal Machine Learning Applications

Cited by 42

Alaryngeal Speech Enhancement for Noisy Environments Using a Pareto Denoising Gated LSTM

Maskeliūnas, R., Damaševičius, R., Kulikajevas, A., Pribuišis, K., & Uloza, V. (2024) · Journal of Voice

Speech and Audio ProcessingVoice and Speech Disorders

Cited by 4

Assessment of the Performance of an AI-Driven SpeechEnhancer Algorithm for Speech Enhancement Following Laryngeal Oncosurgery

Pribuišis, K., Maskeliūnas, R., Ulozaitė-Stanienė, N., Padervinskis, E., Damaševičius, R., Blažauskas, T., & Uloza, V. (2025) · Journal of Voice

Voice and Speech DisordersSpeech and Audio Processing

Cited by 3