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Robertas Damaševičius

Robertas Damaševičius

D-Index & Metrics

Computer Science

D-Index
68
Citations
16322
World Ranking
2108
National Ranking
1

Overview

Robertas Damaševičius is affiliated with Kaunas University of Technology in Lithuania. Their research primarily spans the fields of Computer Science and Medicine, with 532 and 202 publications respectively. The scholar's work extensively focuses on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Information Systems, and Neurology.

The main research topics they investigate include:

  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Brain Tumor Detection and Classification
  • Anomaly Detection Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Blockchain Technology Applications and Security

Their recent publications illustrate a focus on medical imaging and diagnostic applications of deep learning algorithms. Notable papers include:

  • "A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images" (2020, Applied Sciences)
  • "Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists" (2020, Diagnostics)
  • "Real-Time Hand Gesture Recognition Based on Deep Learning YOLOv3 Model" (2021, Applied Sciences)
  • "Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion" (2022, Sensors)
  • "Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM" (2022, Medicina)

Frequently collaborating researchers include Rytis Maskeliūnas, Sanjay Misra, Muhammad Attique Khan, Marcin Woźniak, and Mazin Abed Mohammed.

In terms of publication venues, Robertas Damaševičius has contributed extensively to:

  • Electronics (25 publications)
  • Sensors (22 publications)
  • Applied Sciences (20 publications)
  • Diagnostics (15 publications)
  • PeerJ Computer Science (13 publications)

Their academic contributions also extend to book publications. They have authored a book titled "Digital Escape Room Designs in Education," which is published by IGI Global, with the year of publication listed as 2025.

Best Publications

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

    Vikash Chouhan;Sanjay Kumar Singh;Aditya Khamparia;Deepak Gupta

  • Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists.

    Muhammad Attique Khan;Imran Ashraf;Majed Alhaisoni;Robertas Damaševičius;Robertas Damaševičius

  • Real-time hand gesture recognition based on deep learning YOLOv3 model

    Abdullah Mujahid;Mazhar Javed Awan;Awais Yasin;Mazin Abed Mohammed

  • Relationship between Convenience, Perceived Value, and Repurchase Intention in Online Shopping in Vietnam

    Quoc Trung Pham;Xuan Phuc Tran;Sanjay Misra;Rytis Maskeliūnas

  • Consumer-grade EEG devices: are they usable for control tasks?

    Rytis Maskeliunas;Robertas Damasevicius;Ignas Martisius;Mindaugas Vasiljevas

  • Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization

    Muhammad Attique Khan;Muhammad Sharif;Tallha Akram;Robertas Damaševičius

  • Detecting Parkinson's Disease with Sustained Phonation and Speech Signals using Machine Learning Techniques

    Jefferson Almeida;Pedro Pedrosa Rebouças Filho;Tiago Carneiro;Wei Wei

  • Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review

    Mohamed A. Kassem;Khalid M. Hosny;Robertas Damaševičius;Mohamed Meselhy Eltoukhy

  • An Efficient DenseNet-Based Deep Learning Model for Malware Detection.

    Jeyaprakash Hemalatha;S. Abijah Roseline;Subbiah Geetha;Seifedine Kadry

  • COVID-19 image classification using deep features and fractional-order marine predators algorithm.

    Ahmed T Sahlol;Dalia Yousri;Ahmed A Ewees;Mohammed A A Al-Qaness

  • Analysis of Features of Alzheimer's Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network.

    Modupe Odusami;Rytis Maskeliūnas;Robertas Damaševičius;Tomas Krilavičius

  • Fuzzy based image edge detection algorithm for blood vessel detection in retinal images

    F. Orujov;R. Maskeliūnas;R. Damaševičius;R. Damaševičius;W. Wei

  • Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine.

    Vivek Lahoura;Harpreet Singh;Ashutosh Aggarwal;Bhisham Sharma

  • Review on COVID-19 diagnosis models based on machine learning and deep learning approaches.

    Zaid Abdi Alkareem Alyasseri;Zaid Abdi Alkareem Alyasseri;Mohammed Azmi Al-Betar;Mohammed Azmi Al-Betar;Iyad Abu Doush;Iyad Abu Doush;Mohammed A. Awadallah;Mohammed A. Awadallah

  • Cassava disease recognition from low-quality images using enhanced data augmentation model and deep learning

    Olusola Oluwakemi Abayomi-Alli;Robertas Damaševičius;Sanjay Misra;Sanjay Misra;Rytis Maskeliūnas;Rytis Maskeliūnas

  • Recognizing apple leaf diseases using a novel parallel real-time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture

    Zia ur Rehman;Muhammad Attique Khan;Fawad Ahmed;Robertas Damaševičius

  • A neuro-heuristic approach for recognition of lung diseases from X-ray images

    Qiao Ke;Jiangshe Zhang;Wei Wei;Dawid Połap

  • AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery.

    Ahmad Almadhor;Hafiz Tayyab Rauf;Muhammad Ikram Ullah Lali;Robertas Damaševičius

  • Automated Identification of Wood Veneer Surface Defects Using Faster Region-Based Convolutional Neural Network with Data Augmentation and Transfer Learning

    Augustas Urbonas;Vidas Raudonis;Rytis Maskeliūnas;Robertas Damaševičius

  • Multi-sink distributed power control algorithm for Cyber-physical-systems in coal mine tunnels

    Wei Wei;Xu Xia;Marcin Wozniak;Xunli Fan

  • A Review of Internet of Things Technologies for Ambient Assisted Living Environments

    Rytis Maskeliūnas;Robertas Damaševičius;Sagiv Segal

  • A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection

    Farhat Afza;Muhammad Attique Khan;Muhammad Sharif;Seifedine Nimer Kadry

  • A Prototype SSVEP Based Real Time BCI Gaming System

    Ignas Martišius;Robertas Damaševičius

  • An Image Encryption Scheme Based on Block Scrambling, Modified Zigzag Transformation and Key Generation Using Enhanced Logistic-Tent Map.

    Priya Ramasamy;Vidhyapriya Ranganathan;Seifedine Kadry;Robertas Damaševičius

Frequent Co-Authors

Sanjay Misra
Sanjay Misra Institute for Energy Technology
Wei Wei
Wei Wei Qilu University of Technology
Marcin Wozniak
Marcin Wozniak Silesian University of Technology
Rytis Maskeliunas
Rytis Maskeliunas Kaunas University of Technology
Muhammad Attique Khan
Muhammad Attique Khan Prince Mohammad bin Fahd University
Mazin Abed Mohammed
Mazin Abed Mohammed University of Anbar
Seifedine Kadry
Seifedine Kadry Lebanese American University
Tallha Akram
Tallha Akram Prince Sattam Bin Abdulaziz University
Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
Mohamed Abd Elaziz
Mohamed Abd Elaziz Ajman University of Science and Technology

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