Citation Impact

Citing Papers

Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review
2022 Standout
Attention gated networks: Learning to leverage salient regions in medical images
2019 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Artificial intelligence in healthcare: past, present and future
2017 Standout
A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease
2021
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
2019 Standout
Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine
2017
Feature extraction through parallel Probabilistic Principal Component Analysis for heart disease diagnosis
2017
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
2020
Image analysis and machine learning in digital pathology: Challenges and opportunities
2016 Standout
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
2021 Standout
Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population
2010
Big data and machine learning algorithms for health-care delivery
2019 Standout
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
2014 Standout
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
2017 Standout
Computer-Aided Diagnosis of Parkinson’s Disease Using Enhanced Probabilistic Neural Network
2015
Data Mining Algorithms and Techniques in Mental Health: A Systematic Review
2018 Standout
Multimodal biomedical AI
2022 Standout
A survey on deep learning in medical image analysis
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Meta-analysis based SVM classification enables accurate detection of Alzheimer's disease across different clinical centers using FDG-PET and MRI
2012
Artificial intelligence in drug development: present status and future prospects
2018 Standout
An improved incipient fault detection method based on Kullback-Leibler divergence
2018
Alzheimer's disease
2016 Standout
Investigating the effect of trustworthiness on instruction-based reflexivity
2020
Automated detection of COVID-19 cases using deep neural networks with X-ray images
2020 Standout
A guide to deep learning in healthcare
2018 Standout
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data
2012
Artificial Intelligence in Cardiology
2018 Standout
Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review
2012
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Artificial intelligence in radiology
2018 Standout
Artificial intelligence in healthcare
2018 Standout
Deep learning in neural networks: An overview
2014 Standout
Brain tumor classification using deep CNN features via transfer learning
2019 Standout
A review on genetic algorithm: past, present, and future
2020 Standout
Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types
2017 Standout
Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques
2019 Standout
Imaging and machine learning techniques for diagnosis of Alzheimer’s disease
2016
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Artificial intelligence in drug combination therapy
2018
Artificial intelligence in drug discovery and development
2020 Standout
Automatic detection of alpine rockslides in continuous seismic data using hidden Markov models
2016
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
2015 Standout
A Novel Approach of CT Images Feature Analysis and Prediction to Screen for Corona Virus Disease (COVID-19)
2020
Soft computing approaches for image segmentation: a survey
2018
Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications
2014 Standout
Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies
2013
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems
2021
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
2016 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis
2019 Standout
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Misfire and valve clearance faults detection in the combustion engines based on a multi-sensor vibration signal monitoring
2018
CLASSIFICATION OF ALZHEIMER DISEASE BASED ON STRUCTURAL MAGNETIC RESONANCE IMAGING BY KERNEL SUPPORT VECTOR MACHINE DECISION TREE
2014
A Deep Neural Networks Approach to Automatic Recognition Systems for Volcano-Seismic Events
2018
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology
2015
Denoising deep neural networks based voice activity detection
2013
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
2019 Standout
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
2019 Standout
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm
2014
The practical implementation of artificial intelligence technologies in medicine
2018 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Hydrogen consumption prediction of a fuel cell based system with a hybrid intelligent approach
2020
A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning
2019 Standout
The Factorial-Reflexive Approach to Diagnosing the Executors’ and Contractors’ Attitude to Achieving the Objectives by Energy Supplying Companies
2021 Standout
Hydrogen in energy transition: A review
2021 Standout
A Seismic-Event Spotting System for Volcano Fast-Response Systems
2012
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
A Novel Approach of CT Images Feature Analysis and Prediction to Screen for Corona Virus Disease (COVID-19)
2020
MRI based medical image analysis: Survey on brain tumor grade classification
2017
Motion Mode Recognition and Step Detection Algorithms for Mobile Phone Users
2013

Works of Javier Ramı́rez being referenced

Continuous HMM-Based Seismic-Event Classification at Deception Island, Antarctica
2007
Efficient mining of association rules for the early diagnosis of Alzheimer's disease
2011
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation
2020
SVM-based CAD system for early detection of the Alzheimer's disease using kernel PCA and LDA
2009
SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting
2009
Feature selection using factor analysis for Alzheimer's diagnosis using PET images
2010
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares
2017
Encoding, preparation and implementation of novel complex verbal instructions
2017
Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation.
2014
Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images
2014
A New Kullback–Leibler VAD for Speech Recognition in Noise
2004
Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging
2013
Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease
2010
18F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis
2010
Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization
2012
Efficient voice activity detection algorithms using long-term speech information
2003
Automatic assistance to Parkinsonˈs disease diagnosis in DaTSCAN SPECT imaging
2012
Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders
2018
Detection of (In)activity Periods in Human Body Motion Using Inertial Sensors: A Comparative Study
2012
Statistical voice activity detection using a multiple observation likelihood ratio test
2005
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease
2016
LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s disease
2013
Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies
2012
Computer-aided diagnosis of Alzheimer’s type dementia combining support vector machines and discriminant set of features
2009
Rankless by CCL
2026