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Compression and acceleration of convolution neural network: a Genetic Algorithm based approach

Journal of ambient intelligence and humanized computing, 2023-10, Vol.14 (10), p.13387-13397

2023

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Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification

Diagnostics (Basel), 2021-11, Vol.11 (11), p.2109

2021

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UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias

IEEE access, 2023, Vol.11, p.595-645

2023

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Human activity recognition in artificial intelligence framework: a narrative review

The Artificial intelligence review, 2022-08, Vol.55 (6), p.4755-4808

2022

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NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death

Computers in biology and medicine, 2022-08, Vol.147, p.105639-105639, Article 105639

2022

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A Comprehensive Analysis of Image Forensics Techniques: Challenges and Future Direction

Recent Patents on Engineering, 2020, Vol.14 (3), p.458-467

2020

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DECACNN: differential evolution-based approach to compress and accelerate the convolution neural network model

Neural computing & applications, 2024-02, Vol.36 (6), p.2665-2681

2024

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A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework

Computers in biology and medicine, 2022-02, Vol.141, p.105131-105131, Article 105131

2022

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Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization

Neural computing & applications, 2023-06, Vol.35 (16), p.11833-11846

2023

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A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort

Journal of medical systems, 2021-03, Vol.45 (3), p.28, Article 28

2021

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A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data

Neural computing & applications, 2022-12, Vol.34 (23), p.20915-20937

2022

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A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-12

2021

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Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application

Medical & biological engineering & computing, 2021-03, Vol.59 (3), p.511-533

2021

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Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system

The International Journal of Cardiovascular Imaging, 2021-05, Vol.37 (5), p.1511-1528

2021

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3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

Computers in biology and medicine, 2020-10, Vol.125, p.103958-103958, Article 103958

2020

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A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

Computers in biology and medicine, 2021-03, Vol.130, p.104210-104210, Article 104210

2021

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Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

International journal for computer assisted radiology and surgery, 2021-03, Vol.16 (3), p.423-434

2021

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Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients

Rheumatology international, 2022-02, Vol.42 (2), p.215-239

2022

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Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review

The Artificial intelligence review, 2024-08, Vol.57 (9), p.238, Article 238

2024

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Artificial intelligence bias in medical system designs: a systematic review

Multimedia tools and applications, 2024-02, Vol.83 (6), p.18005-18057

2024

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Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application

Annals of translational medicine, 2021-07, Vol.9 (14), p.1206-1206

2021

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COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models

Diagnostics (Basel), 2021-08, Vol.11 (8), p.1405

2021

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Energy Efficient Clustering and Routing Algorithms for Wireless Sensor Networks: GA Based Approach

Wireless personal communications, 2015-08, Vol.83 (3), p.2403-2423

2015

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A novel evolutionary approach for load balanced clustering problem for wireless sensor networks

Swarm and evolutionary computation, 2013-10, Vol.12, p.48-56

2013

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VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification

Journal of visual communication and image representation, 2022-11, Vol.89, p.103644, Article 103644

2022

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Compression and acceleration of convolution neural network: a Genetic Algorithm based approach

Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification

UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias

Human activity recognition in artificial intelligence framework: a narrative review

NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death

A Comprehensive Analysis of Image Forensics Techniques: Challenges and Future Direction

DECACNN: differential evolution-based approach to compress and accelerate the convolution neural network model

A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework

Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization

A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort

A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data

A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application

Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application

Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients

Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review

Artificial intelligence bias in medical system designs: a systematic review

Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application

COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models

Energy Efficient Clustering and Routing Algorithms for Wireless Sensor Networks: GA Based Approach

A novel evolutionary approach for load balanced clustering problem for wireless sensor networks

VI-NET: A hybrid deep convolutional neural network using VGG and inception V3 model for copy-move forgery classification

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