Search Results - "Damaševičius, Robertas"

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    Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare by Maqsood, Sarmad, Damaševičius, Robertas

    Published in Neural networks (01-03-2023)
    “…The idea of smart healthcare has gradually gained attention as a result of the information technology industry’s rapid development. Smart healthcare uses…”
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    Journal Article
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    An Intelligent System for Early Recognition of Alzheimer's Disease Using Neuroimaging by Odusami, Modupe, Maskeliūnas, Rytis, Damaševičius, Robertas

    Published in Sensors (Basel, Switzerland) (19-01-2022)
    “…Alzheimer's disease (AD) is a neurodegenerative disease that affects brain cells, and mild cognitive impairment (MCI) has been defined as the early phase that…”
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    Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM by Maqsood, Sarmad, Damaševičius, Robertas, Maskeliūnas, Rytis

    Published in Medicina (Kaunas, Lithuania) (01-08-2022)
    “…Clinical diagnosis has become very significant in today's health system. The most serious disease and the leading cause of mortality globally is brain cancer…”
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    Hemorrhage Detection Based on 3D CNN Deep Learning Framework and Feature Fusion for Evaluating Retinal Abnormality in Diabetic Patients by Maqsood, Sarmad, Damaševičius, Robertas, Maskeliūnas, Rytis

    Published in Sensors (Basel, Switzerland) (03-06-2021)
    “…Diabetic retinopathy (DR) is the main cause of blindness in diabetic patients. Early and accurate diagnosis can improve the analysis and prognosis of the…”
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    Effective Handling of Missing Values in Datasets for Classification Using Machine Learning Methods by Palanivinayagam, Ashokkumar, Damaševičius, Robertas

    Published in Information (Basel) (01-02-2023)
    “…The existence of missing values reduces the amount of knowledge learned by the machine learning models in the training stage thus affecting the classification…”
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    Automated Identification of Wood Veneer Surface Defects Using Faster Region-Based Convolutional Neural Network with Data Augmentation and Transfer Learning by Urbonas, Augustas, Raudonis, Vidas, Maskeliūnas, Rytis, Damaševičius, Robertas

    Published in Applied sciences (01-11-2019)
    “…In the lumber and wood processing industry, most visual quality inspections are still done by trained human operators. Visual inspection is a tedious and…”
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    Analysis of Features of Alzheimer's Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network by Odusami, Modupe, Maskeliūnas, Rytis, Damaševičius, Robertas, Krilavičius, Tomas

    Published in Diagnostics (Basel) (10-06-2021)
    “…One of the first signs of Alzheimer's disease (AD) is mild cognitive impairment (MCI), in which there are small variants of brain changes among the…”
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    An Image Encryption Scheme Based on Block Scrambling, Modified Zigzag Transformation and Key Generation Using Enhanced Logistic-Tent Map by Ramasamy, Priya, Ranganathan, Vidhyapriya, Kadry, Seifedine, Damaševičius, Robertas, Blažauskas, Tomas

    Published in Entropy (Basel, Switzerland) (03-07-2019)
    “…Nowadays, the images are transferred through open channels that are subject to potential attacks, so the exchange of image data requires additional security in…”
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    Journal Article
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    Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study by Chatterjee, Sheshadri, Majumdar, Dipasree, Misra, Sanjay, Damaševičius, Robertas

    Published in Education and information technologies (01-09-2020)
    “…The purpose of this study is to identify the factors that can impact the adoption of mobile apps for teaching-learning process focusing on the girls’ school in…”
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    An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples by Abayomi-Alli, Olusola O, Damaševičius, Robertas, Maskeliūnas, Rytis, Misra, Sanjay

    Published in Sensors (Basel, Switzerland) (13-03-2022)
    “…Current research endeavors in the application of artificial intelligence (AI) methods in the diagnosis of the COVID-19 disease has proven indispensable with…”
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    Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review by Kassem, Mohamed A, Hosny, Khalid M, Damaševičius, Robertas, Eltoukhy, Mohamed Meselhy

    Published in Diagnostics (Basel) (31-07-2021)
    “…Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently, researchers have shown an increasing interest in developing…”
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    Automated segmentation of leukocyte from hematological images—a study using various CNN schemes by Kadry, Seifedine, Rajinikanth, Venkatesan, Taniar, David, Damaševičius, Robertas, Valencia, Xiomara Patricia Blanco

    Published in The Journal of supercomputing (01-04-2022)
    “…Medical images play a fundamental role in disease screening, and automated evaluation of these images is widely preferred in hospitals. Recently, Convolutional…”
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    A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images by Oyewola, David Opeoluwa, Dada, Emmanuel Gbenga, Misra, Sanjay, Damaševičius, Robertas

    Published in Applied artificial intelligence (31-12-2022)
    “…Malaria fever is a potentially fatal disease caused by the Plasmodium parasite. Identifying Plasmodium parasites in blood smear images can help diagnose…”
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    MOX-NET: Multi-stage deep hybrid feature fusion and selection framework for monkeypox classification by Maqsood, Sarmad, Damaševičius, Robertas, Shahid, Sana, Forkert, Nils D.

    Published in Expert systems with applications (01-12-2024)
    “…Monkeypox virus has quickly expanded throughout several nations, raising serious public health concerns. Lack of precautionary measures raises concerns about…”
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    Impact of COVID-19 pandemic on researcher collaboration in business and economics areas on national level: a scientometric analysis by Damaševičius, Robertas, Zailskaitė-Jakštė, Ligita

    Published in Journal of documentation (10-01-2023)
    “…PurposeThe coronavirus disease 2019 (COVID-19) pandemic has greatly impacted society and academic life and research practices. This study is an attempt to…”
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    Improving Structural MRI Preprocessing with Hybrid Transformer GANs by Grigas, Ovidijus, Maskeliūnas, Rytis, Damaševičius, Robertas

    Published in Life (Basel, Switzerland) (01-09-2023)
    “…Magnetic resonance imaging (MRI) is a technique that is widely used in practice to evaluate any pathologies in the human body. One of the areas of interest is…”
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    Deep learning based fall detection using smartwatches for healthcare applications by Şengül, Gökhan, Karakaya, Murat, Misra, Sanjay, Abayomi-Alli, Olusola O., Damaševičius, Robertas

    Published in Biomedical signal processing and control (01-01-2022)
    “…•Bica cubic Hermite interpolation based data augmentation method allows to handle imbalanced data problem.•A fusion accelerometer and gyroscope data features…”
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