Evangelia I. Zacharaki

Orcid: 0000-0001-8228-0437

According to our database1, Evangelia I. Zacharaki authored at least 87 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Machine Learning Approaches for 3D Motion Synthesis and Musculoskeletal Dynamics Estimation: A Survey.
IEEE Trans. Vis. Comput. Graph., August, 2024

Cooperative Saliency-Based Pothole Detection and AR Rendering for Increased Situational Awareness.
IEEE Trans. Intell. Transp. Syst., May, 2024

2023
Cooperative Saliency-based Obstacle Detection and AR Rendering for Increased Situational Awareness.
CoRR, 2023

AI Sound Recognition on Asthma Medication Adherence: Evaluation With the RDA Benchmark Suite.
IEEE Access, 2023

2022
Broad-to-Narrow Registration and Identification of 3D Objects in Partially Scanned and Cluttered Point Clouds.
IEEE Trans. Multim., 2022

Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification.
IEEE J. Biomed. Health Informatics, 2022

Dynamic contrast enhanced-magnetic resonance imaging radiomics combined with a hybrid adaptive neuro-fuzzy inference system-particle swarm optimization approach for breast tumour classification.
Expert Syst. J. Knowl. Eng., 2022

Revisiting Audio Pattern Recognition for Asthma Medication Adherence: Evaluation with the RDA Benchmark Suite.
CoRR, 2022

Automated TTC Image-Based Analysis of Mouse Brain Lesions.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022

A User Evaluation Study of Augmented and Virtual Reality Tools for Training and Knowledge Transfer.
Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022

Semantic Data Integration for Monitoring Operators' Ergonomics in an Automotive Manufacturing Setting.
Proceedings of the Semantic Web: ESWC 2022 Satellite Events - Hersonissos, Crete, Greece, May 29, 2022

2021
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis.
IEEE J. Biomed. Health Informatics, 2021

XRSISE: An XR Training System for Interactive Simulation and Ergonomics Assessment.
Frontiers Virtual Real., 2021

Regularized multi-structural shape modeling of the knee complex based on deep functional maps.
Comput. Medical Imaging Graph., 2021

SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties.
Comput. Graph., 2021

CNN-based stress and emotion recognition in ambulatory settings.
Proceedings of the 12th International Conference on Information, 2021


2020
FrailSafe: An ICT Platform for Unobtrusive Sensing of Multi-Domain Frailty for Personalized Interventions.
IEEE J. Biomed. Health Informatics, 2020

Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification.
Sensors, 2020

Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning.
Sensors, 2020

Personalized Knee Geometry Modeling Based on Multi-Atlas Segmentation and Mesh Refinement.
IEEE Access, 2020

Biophysics-based simulation of virtual human model interactions in 3D virtual scenes.
Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2020

CPSoSaware: Cross-Layer Cognitive Optimization Tools & Methods for the Lifecycle Support of Dependable CPSoS.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020

Neural network based prediction of knee contact forces for different gait speeds.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data.
Sensors, 2019

Integrating an openEHR-based personalized virtual model for the ageing population within HBase.
BMC Medical Informatics Decis. Mak., 2019

Improving CNN-based activity recognition by data augmentation and transfer learning.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Clinical profile prediction by multiple instance learning from multi-sensorial data.
Proceedings of the 10th International Conference on Information, 2019

Instance Selection Techniques for Multiple Instance Classification.
Proceedings of the 10th International Conference on Information, 2019

Hierarchical Image Inpainting by a Deep Context Encoder Exploiting Structural Similarity and Saliency Criteria.
Proceedings of the Computer Vision Systems, 12th International Conference, 2019

TensMIL2: Improved Multiple Instance Classification Through Tensor Decomposition and Instance Selection.
Proceedings of the 27th European Signal Processing Conference, 2019

Recognition of Breathing Activity and Medication Adherence using LSTM Neural Networks.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018
Tensor Decomposition for Multiple-Instance Classification of High-Order Medical Data.
Complex., 2018

Global vs local classification models for multi-sensor data fusion.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Geriatric group analysis by clustering non-linearly embedded multi-sensor data.
Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

Meeting challenges of activity recognition for ageing population in real life settings.
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

2017
Prediction of protein function using a deep convolutional neural network ensemble.
PeerJ Prepr., 2017

A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation.
Int. J. Comput. Vis., 2017

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation.
CoRR, 2017

Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma.
Comput. Methods Programs Biomed., 2017

Computational methods towards image-based biomarkers and beyond. (Méthodes computationnelles pour des biomarqueurs basés sur l'image et au-delà).
, 2017

2016
(Hyper)-graphical models in biomedical image analysis.
Medical Image Anal., 2016

Improving classification of epileptic and non-epileptic EEG events by feature selection.
Neurocomputing, 2016

EEG-based Classification of Epileptic and Non-Epileptic Events using Multi-Array Decomposition.
Int. J. Monit. Surveillance Technol. Res., 2016

Spike pattern recognition by supervised classification in low dimensional embedding space.
Brain Informatics, 2016

Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

A Machine Learning Methodology for Enzyme Functional Classification Combining Structural and Protein Sequence Descriptors.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016

Deformable group-wise registration using a physiological model: Application to diffusion-weighted MRI.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Optimal Estimation of Diffusion in DW-MRI by High-Order MRF-Based Joint Deformable Registration and Diffusion Modeling.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients.
Expert Syst. Appl., 2015

A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker.
Biomed. Signal Process. Control., 2015

Classification of epileptic and non-epileptic events using tensor decomposition.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

2014
Individualized statistical learning from medical image databases: Application to identification of brain lesions.
Medical Image Anal., 2014

Online Seizure Detection from EEG and ECG Signals for Monitoring of Epileptic Patients.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Evaluation of time and frequency domain features for seizure detection from combined EEG and ECG signals.
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, 2014

Classification of epileptic and non-epileptic EEG events.
Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare: "Transforming healthcare through innovations in mobile and wireless technologies", 2014

Spike detection in EEG by LPP and SVM.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
Multiresolution similarity search in time series data: an application to EEG signals.
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013

One-class classification of temporal EEG patterns for K-complex extraction.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Sleep Spindle Detection in EEG Signals Combining HMMs and SVMs.
Proceedings of the Engineering Applications of Neural Networks, 2013

2012
Abnormality Segmentation in Brain Images Via Distributed Estimation.
IEEE Trans. Inf. Technol. Biomed., 2012

Manifold-constrained embeddings for the detection of white matter lesions in brain MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Using an Atlas-Based Approach in the Analysis of Gene Expression Maps Obtained by Voxelation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Fuzzy Multi-channel Clustering with Individualized Spatial Priors for Segmenting Brain Lesions and Infarcts.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Revealing the dynamic modularity of composite biological networks in breast cancer treatment.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Combining gene expression and function in a spatially localized approach.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Investigating machine learning techniques for MRI-based classification of brain neoplasms.
Int. J. Comput. Assist. Radiol. Surg., 2011

Multi-parametric analysis and registration of brain tumors: Constructing statistical atlases and diagnostic tools of predictive value.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Learning high-dimensional image statistics for abnormality detection on medical images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth.
NeuroImage, 2009

Corrigendum to "Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth" [NeuroImage 46 (2009) 762-774].
NeuroImage, 2009

MRI-Based Classification of Brain Tumor Type and Grade Using SVM-RFE.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images.
IEEE Trans. Medical Imaging, 2008

A Comparative Study of Biomechanical Simulators in Deformable Registration of Brain Tumor Images.
IEEE Trans. Biomed. Eng., 2008

Parallel optimization of tumor model parameters for fast registration of brain tumor images.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

Measuring Brain Lesion Progression with a Supervised Tissue Classification System.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Multiparametric tissue abnormality characterization using manifold regularization.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

2006
Deformable registration of brain tumor images via a statistical model of tumor-induced deformation.
Medical Image Anal., 2006

Registration of brain images with tumors: towards the construction of statistical atlases for therapy planning.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005
Telematics enabled virtual simulation system for radiation treatment planning.
Comput. Biol. Medicine, 2005

2004
Simulating growth dynamics and radiation response of avascular tumour spheroids - model validation in the case of an EMT6/Ro multicellular spheroid.
Comput. Methods Programs Biomed., 2004

2002
In silico radiation oncology: combining novel simulation algorithms with current visualization techniques.
Proc. IEEE, 2002

2001
Modeling tumor growth and irradiation response in vitro-a combination of high-performance computing and Web-based technologies including VRML visualization.
IEEE Trans. Inf. Technol. Biomed., 2001

1999
Using Web Technologies and Meta-Computing to Visualise a Simplified Simulation Model of Tumor Growth in Vitro.
Proceedings of the High-Performance Computing and Networking, 7th International Conference, 1999


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