Using Web Technologies and Meta-Computing to Visualise a Simplified Simulation Model of Tumor Growth in Vitro. - Georgios S. Stamatakos; Evangelia I. Zacharaki; Nicolaos A. Mouravliansky; Konstantinos K. Delibasis; Konstantina S. Nikita; Nikolaos K. Uzunoglu; Andy Marsh (HPCN Europe, 1999)

Modeling tumor growth and irradiation response in vitro-a combination of high-performance computing and Web-based technologies including VRML visualization. - Georgios S. Stamatakos; Evangelia I. Zacharaki; Mersini Makropoulou; Nicolaos A. Mouravliansky; Andy Marsh; Konstantina S. Nikita; Nikolaos K. Uzunoglu (IEEE Trans. Inf. Technol. Biomed., 2001)

In silico radiation oncology: combining novel simulation algorithms with current visualization techniques. - Georgios S. Stamatakos; Dimitra D. Dionysiou; Evangelia I. Zacharaki; Nicolaos A. Mouravliansky; Konstantina S. Nikita; Nikolaos K. Uzunoglu (Proc. IEEE, 2002)

Simulating growth dynamics and radiation response of avascular tumour spheroids - model validation in the case of an EMT6/Ro multicellular spheroid. - Evangelia I. Zacharaki; Georgios S. Stamatakos; Konstantina S. Nikita; Nikolaos K. Uzunoglu (Comput. Methods Programs Biomed., 2004)

Telematics enabled virtual simulation system for radiation treatment planning. - Efthymios Ntasis; Miltos Gletsos; Nicolaos A. Mouravliansky; Evangelia I. Zacharaki; Christos E. Vasios; Spyretta Golemati; Theofanis A. Maniatis; Konstantina S. Nikita (Comput. Biol. Medicine, 2005)

Registration of brain images with tumors: towards the construction of statistical atlases for therapy planning. - Evangelia I. Zacharaki; Dinggang Shen; Ashraf Mohamed; Christos Davatzikos (ISBI, 2006)

Deformable registration of brain tumor images via a statistical model of tumor-induced deformation. - Ashraf Mohamed; Evangelia I. Zacharaki; Dinggang Shen; Christos Davatzikos (Medical Image Anal., 2006)

Multiparametric tissue abnormality characterization using manifold regularization. - Kayhan N. Batmanghelich; Xiaoying Wu; Evangelia I. Zacharaki; Clyde E. Markowitz; Christos Davatzikos; Ragini Verma (Computer-Aided Diagnosis, 2008)

Measuring Brain Lesion Progression with a Supervised Tissue Classification System. - Evangelia I. Zacharaki; Stathis Kanterakis; R. Nick Bryan; Christos Davatzikos (MICCAI (1), 2008)

Parallel optimization of tumor model parameters for fast registration of brain tumor images. - Evangelia I. Zacharaki; Cosmina S. Hogea; Dinggang Shen; George Biros; Christos Davatzikos (Image Processing, 2008)

A Comparative Study of Biomechanical Simulators in Deformable Registration of Brain Tumor Images. - Evangelia I. Zacharaki; Cosmina Hogea; George Biros; Christos Davatzikos (IEEE Trans. Biomed. Eng., 2008)

ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images. - Evangelia I. Zacharaki; Dinggang Shen; Seung-Koo Lee; Christos Davatzikos (IEEE Trans. Medical Imaging, 2008)

MRI-Based Classification of Brain Tumor Type and Grade Using SVM-RFE. - Evangelia I. Zacharaki; Sumei Wang; Sanjeev Chawla; Dong Soo Yoo; Ronald L. Wolf; Elias R. Melhem; Christos Davatzikos (ISBI, 2009)

Corrigendum to "Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth" [NeuroImage 46 (2009) 762-774]. - Evangelia I. Zacharaki; Cosmina Hogea; Dinggang Shen; George Biros; Christos Davatzikos (NeuroImage, 2009)

Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth. - Evangelia I. Zacharaki; Cosmina Hogea; Dinggang Shen; George Biros; Christos Davatzikos (NeuroImage, 2009)

Learning high-dimensional image statistics for abnormality detection on medical images. - Güray Erus; Evangelia I. Zacharaki; R. Nick Bryan; Christos Davatzikos (CVPR Workshops, 2010)

Multi-parametric analysis and registration of brain tumors: Constructing statistical atlases and diagnostic tools of predictive value. - Christos Davatzikos; Evangelia I. Zacharaki; Ali Gooya; Vanessa Clark (EMBC, 2011)

Investigating machine learning techniques for MRI-based classification of brain neoplasms. - Evangelia I. Zacharaki; Vasileios G. Kanas; Christos Davatzikos (Int. J. Comput. Assist. Radiol. Surg., 2011)

Combining gene expression and function in a spatially localized approach. - Evangelia I. Zacharaki; Angeliki Skoura; Desmond J. Smith; Scott Faro; Li An; Vasileios Megalooikonomou (BIBM, 2012)

Revealing the dynamic modularity of composite biological networks in breast cancer treatment. - Konstantina Dimitrakopoulou; Georgios N. Dimitrakopoulos; Evangelia I. Zacharaki; Ioannis A. Maraziotis; Kyriakos N. Sgarbas; Anastasios Bezerianos (EMBC, 2012)

Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation. - Vasileios G. Kanas; Evangelia I. Zacharaki; Evangelos Dermatas; Anastasios Bezerianos; Kyriakos N. Sgarbas; Christos Davatzikos (AIAI (2), 2012)

Fuzzy Multi-channel Clustering with Individualized Spatial Priors for Segmenting Brain Lesions and Infarcts. - Evangelia I. Zacharaki; Güray Erus; Anastasios Bezerianos; Christos Davatzikos (AIAI (2), 2012)

Using an Atlas-Based Approach in the Analysis of Gene Expression Maps Obtained by Voxelation. - Evangelia I. Zacharaki; Angeliki Skoura; Li An; Desmond J. Smith; Vasileios Megalooikonomou (AIAI (2), 2012)

Manifold-constrained embeddings for the detection of white matter lesions in brain MRI. - Samuel Kadoury; Güray Erus; Evangelia I. Zacharaki; Nikos Paragios; Christos Davatzikos (ISBI, 2012)

Abnormality Segmentation in Brain Images Via Distributed Estimation. - Evangelia I. Zacharaki; Anastasios Bezerianos (IEEE Trans. Inf. Technol. Biomed., 2012)

Sleep Spindle Detection in EEG Signals Combining HMMs and SVMs. - Iosif Mporas; Panagiotis Korvesis; Evangelia I. Zacharaki; Vasilis Megalooikonomou (EANN (2), 2013)

One-class classification of temporal EEG patterns for K-complex extraction. - Evangelia I. Zacharaki; Evangelia Pippa; Andreas M. Koupparis; Vasileios Kokkinos; George K. Kostopoulos; Vasileios Megalooikonomou (EMBC, 2013)

Multiresolution similarity search in time series data: an application to EEG signals. - Amalia Charisi; Fragkiskos D. Malliaros; Evangelia I. Zacharaki; Vasileios Megalooikonomou (PETRA, 2013)

Spike detection in EEG by LPP and SVM. - Evangelia I. Zacharaki; Kyriakos Garganis; Iosif Mporas; Vasilis Megalooikonomou (BHI, 2014)

Classification of epileptic and non-epileptic EEG events. - Evangelia Pippa; Evangelia I. Zacharaki; Iosif Mporas; Vasileios Megalooikonomou; Vasiliki Tsirka; Mark P. Richardson; Michael Koutroumanidis (MobiHealth, 2014)

Evaluation of time and frequency domain features for seizure detection from combined EEG and ECG signals. - Iosif Mporas; Vasiliki Tsirka; Evangelia I. Zacharaki; Michalis Koutroumanidis; Vasileios Megalooikonomou (PETRA, 2014)

Online Seizure Detection from EEG and ECG Signals for Monitoring of Epileptic Patients. - Iosif Mporas; Vasiliki Tsirka; Evangelia I. Zacharaki; Michalis Koutroumanidis; Vasileios Megalooikonomou (SETN, 2014)

Individualized statistical learning from medical image databases: Application to identification of brain lesions. - Güray Erus; Evangelia I. Zacharaki; Christos Davatzikos (Medical Image Anal., 2014)

Classification of epileptic and non-epileptic events using tensor decomposition. - Vasileios G. Kanas; Evangelia I. Zacharaki; Evangelia Pippa; Vasiliki Tsirka; Michael Koutroumanidis; Vasileios Megalooikonomou (BIBE, 2015)

A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker. - Vasileios G. Kanas; Evangelia I. Zacharaki; Christos Davatzikos; Kyriakos N. Sgarbas; Vasileios Megalooikonomou (Biomed. Signal Process. Control., 2015)

Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients. - Iosif Mporas; Vasiliki Tsirka; Evangelia I. Zacharaki; Michalis Koutroumanidis; Mark P. Richardson; Vasileios Megalooikonomou (Expert Syst. Appl., 2015)

Optimal Estimation of Diffusion in DW-MRI by High-Order MRF-Based Joint Deformable Registration and Diffusion Modeling. - Evgenios N. Kornaropoulos; Evangelia I. Zacharaki; Pierre Zerbib; Chieh Lin; Alain Rahmouni; Nikos Paragios (CVPR Workshops, 2016)

Deformable group-wise registration using a physiological model: Application to diffusion-weighted MRI. - Evgenios N. Kornaropoulos; Evangelia I. Zacharaki; Pierre Zerbib; Chieh Lin; Alain Rahmouni; Nikos Paragios (ICIP, 2016)

A Machine Learning Methodology for Enzyme Functional Classification Combining Structural and Protein Sequence Descriptors. - Afshine Amidi; Shervine Amidi; Dimitrios Vlachakis; Nikos Paragios; Evangelia I. Zacharaki (IWBBIO, 2016)

Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI. - Alexia Tzalavra; Kalliopi Dalakleidi; Evangelia I. Zacharaki; Nikolaos N. Tsiaparas; Fotios Constantinidis; Nikos Paragios; Konstantina S. Nikita (MLMI@MICCAI, 2016)

Spike pattern recognition by supervised classification in low dimensional embedding space. - Evangelia I. Zacharaki; Iosif Mporas; Kyriakos Garganis; Vasileios Megalooikonomou (Brain Informatics, 2016)

EEG-based Classification of Epileptic and Non-Epileptic Events using Multi-Array Decomposition. - Evangelia Pippa; Vasileios G. Kanas; Evangelia I. Zacharaki; Vasiliki Tsirka; Michael Koutroumanidis; Vasileios Megalooikonomou (Int. J. Monit. Surveillance Technol. Res., 2016)

Improving classification of epileptic and non-epileptic EEG events by feature selection. - Evangelia Pippa; Evangelia I. Zacharaki; Iosif Mporas; Vasiliki Tsirka; Mark P. Richardson; Michael Koutroumanidis; Vasileios Megalooikonomou (Neurocomputing, 2016)

(Hyper)-graphical models in biomedical image analysis. - Nikos Paragios; Enzo Ferrante; Ben Glocker; Nikos Komodakis; Sarah Parisot; Evangelia I. Zacharaki (Medical Image Anal., 2016)

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

Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma. - Vasileios G. Kanas; Evangelia I. Zacharaki; Ginu A. Thomas; Pascal O. Zinn; Vasileios Megalooikonomou; Rivka R. Colen (Comput. Methods Programs Biomed., 2017)

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation. - Afshine Amidi; Shervine Amidi; Dimitrios Vlachakis; Vasileios Megalooikonomou; Nikos Paragios; Evangelia I. Zacharaki (CoRR, 2017)

A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation. - Stavros Alchatzidis; Aristeidis Sotiras; Evangelia I. Zacharaki; Nikos Paragios (Int. J. Comput. Vis., 2017)

Prediction of protein function using a deep convolutional neural network ensemble. - Evangelia I. Zacharaki (PeerJ Prepr., 2017)

Meeting challenges of activity recognition for ageing population in real life settings. - Aimilia Papagiannaki; Evangelia I. Zacharaki; Konstantinos Deltouzos; Roberto Orselli; Anne Freminet; Sibora Cela; Elena Aristodemou; Marina Polycarpou; Marina Kotsani; Athanase Benetos; John Ellul; Vasileios Megalooikonomou (HealthCom, 2018)

Geriatric group analysis by clustering non-linearly embedded multi-sensor data. - Spyridon Kalogiannis; Evangelia I. Zacharaki; Konstantinos Deltouzos; Marina Kotsani; John Ellul; Athanase Benetos; Vasileios Megalooikonomou (INISTA, 2018)

Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation. - Maria Vakalopoulou; Guillaume Chassagnon; Nikos Paragios; Marie-Pierre Revel; Evangelia I. Zacharaki (ISBI, 2018)

AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. - Maria Vakalopoulou; Guillaume Chassagnon; Norbert Bus; Rafael Marini; Evangelia I. Zacharaki; Marie-Pierre Revel; Nikos Paragios (MICCAI (4), 2018)

Global vs local classification models for multi-sensor data fusion. - Evangelia Pippa; Evangelia I. Zacharaki; Ahmet Turan Özdemir; Billur Barshan; Vasileios Megalooikonomou (SETN, 2018)

Tensor Decomposition for Multiple-Instance Classification of High-Order Medical Data. - Thomas Papastergiou; Evangelia I. Zacharaki; Vasileios Megalooikonomou (Complex., 2018)

Recognition of Breathing Activity and Medication Adherence using LSTM Neural Networks. - Dionysis Pettas; Stavros Nousias; Evangelia I. Zacharaki; Konstantinos Moustakas (BIBE, 2019)

TensMIL2: Improved Multiple Instance Classification Through Tensor Decomposition and Instance Selection. - Thomas Papastergiou; Evangelia I. Zacharaki; Vasileios Megalooikonomou (EUSIPCO, 2019)

Hierarchical Image Inpainting by a Deep Context Encoder Exploiting Structural Similarity and Saliency Criteria. - Nikolaos Stagakis; Evangelia I. Zacharaki; Konstantinos Moustakas (ICVS, 2019)

Instance Selection Techniques for Multiple Instance Classification. - Efstathios Branikas; Thomas Papastergiou; Evangelia I. Zacharaki; Vasileios Megalooikonomou (IISA, 2019)

Clinical profile prediction by multiple instance learning from multi-sensorial data. - Argyro Tsirtsi; Evangelia I. Zacharaki; Spyridon Kalogiannis; Vasileios Megalooikonomou (IISA, 2019)

Improving CNN-based activity recognition by data augmentation and transfer learning. - Gerasimos Kalouris; Evangelia I. Zacharaki; Vasileios Megalooikonomou (INDIN, 2019)

Integrating an openEHR-based personalized virtual model for the ageing population within HBase. - Spyridon Kalogiannis; Konstantinos Deltouzos; Evangelia I. Zacharaki; Andreas Vasilakis; Konstantinos Moustakas; John Ellul; Vasileios Megalooikonomou (BMC Medical Informatics Decis. Mak., 2019)

Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data. - Aimilia Papagiannaki; Evangelia I. Zacharaki; Gerasimos Kalouris; Spyridon Kalogiannis; Konstantinos Deltouzos; John Ellul; Vasileios Megalooikonomou (Sensors, 2019)

Neural network based prediction of knee contact forces for different gait speeds. - Georgios Giarmatzis; Evangelia I. Zacharaki; Konstantinos Moustakas (BIBM, 2020)

CPSoSaware: Cross-Layer Cognitive Optimization Tools & Methods for the Lifecycle Support of Dependable CPSoS. - Georgios Keramidas; Christos P. Antonopoulos; Nikolaos S. Voros; Pekka Jääskeläinen; Marisa Catalán Cid; Evangelia I. Zacharaki; Apostolos P. Fournaris; Aris S. Lalos (ISVLSI, 2020)

Biophysics-based simulation of virtual human model interactions in 3D virtual scenes. - Konstantinos Risvas; Michail Pavlou; Evangelia I. Zacharaki; Konstantinos Moustakas (VR Workshops, 2020)

Personalized Knee Geometry Modeling Based on Multi-Atlas Segmentation and Mesh Refinement. - Filippos P. Nikolopoulos; Evangelia I. Zacharaki; Dimitar Stanev; Konstantinos Moustakas (IEEE Access, 2020)

Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning. - Georgios Giarmatzis; Evangelia I. Zacharaki; Konstantinos Moustakas (Sensors, 2020)

Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification. - Vaggelis Ntalianis; Nikolaos D. Fakotakis; Stavros Nousias; Aris S. Lalos; Michael K. Birbas; Evangelia I. Zacharaki; Konstantinos Moustakas (Sensors, 2020)

FrailSafe: An ICT Platform for Unobtrusive Sensing of Multi-Domain Frailty for Personalized Interventions. - Evangelia I. Zacharaki; Konstantinos Deltouzos; Spyridon Kalogiannis; Ilias Kalamaras; Luca Bianconi; Cristiana Degano; Roberto Orselli; Javier Montesa; Konstantinos Moustakas; Konstantinos Votis; Dimitrios Tzovaras; Vasileios Megalooikonomou (IEEE J. Biomed. Health Informatics, 2020)

SHREC 2021: Classification in Cryo-electron Tomograms. - Ilja Gubins; Marten L. Chaillet; Gijs van der Schot; M. Cristina Trueba; Remco C. Veltkamp; Friedrich Förster; Xiao Wang 004; Daisuke Kihara; Emmanuel Moebel; Nguyen P. Nguyen; Tommi A. White; Filiz Bunyak; et al. (3DOR, 2021)

CNN-based stress and emotion recognition in ambulatory settings. - Leonidas Liakopoulos; Nikolaos Stagakis; Evangelia I. Zacharaki; Konstantinos Moustakas (IISA, 2021)

SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties. - Andrea Raffo; Ulderico Fugacci; Silvia Biasotti; Walter Rocchia; Yonghuai Liu; Ekpo Otu; Reyer Zwiggelaar; David Hunter; Evangelia I. Zacharaki; Eleftheria Psatha; Dimitrios Laskos; Gerasimos Arvanitis; et al. (Comput. Graph., 2021)

Regularized multi-structural shape modeling of the knee complex based on deep functional maps. - Konstantinos Filip; Evangelia I. Zacharaki; Konstantinos Moustakas (Comput. Medical Imaging Graph., 2021)

XRSISE: An XR Training System for Interactive Simulation and Ergonomics Assessment. - Michail Pavlou; Dimitrios Laskos; Evangelia I. Zacharaki; Konstantinos Risvas; Konstantinos Moustakas (Frontiers Virtual Real., 2021)

Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. - Mihir Sahasrabudhe; Pierre Sujobert; Evangelia I. Zacharaki; Eugénie Maurin; Béatrice Grange; Laurent Jallades; Nikos Paragios; Maria Vakalopoulou (IEEE J. Biomed. Health Informatics, 2021)

Semantic Data Integration for Monitoring Operators' Ergonomics in an Automotive Manufacturing Setting. - Efstratios Kontopoulos; Gerasimos Arvanitis; Alessandro Zanella; Panagiotis Mitzias; Evangelia I. Zacharaki; Pavlos Kosmides; Nikos Piperigkos; Konstantinos Moustakas; Aris S. Lalos (ESWC (Satellite Events), 2022)

A User Evaluation Study of Augmented and Virtual Reality Tools for Training and Knowledge Transfer. - Evangelia I. Zacharaki; Andreas Triantafyllidis; Rosa Carretón; Maria Loeck; Isidoros Michalellis; George Michalakis; Georgios Chantziaras; Sofia Segkouli; Dimitrios Giakoumis; Konstantinos Moustakas; Konstantinos Votis; Dimitrios Tzovaras (HCI (8), 2022)

Automated TTC Image-Based Analysis of Mouse Brain Lesions. - Gerasimos Damigos; Nefeli Zerva; Angelos Pavlopoulos; Konstantina Chatzikyrkou; Argyro Koumenti; Konstantinos Moustakas; Constantinos Pantos; Iordanis Mourouzis; Athanasios Lourbopoulos; Evangelia I. Zacharaki (IWBBIO (1), 2022)

Revisiting Audio Pattern Recognition for Asthma Medication Adherence: Evaluation with the RDA Benchmark Suite. - Nikos Fakotakis; Stavros Nousias; Gerasimos Arvanitis; Evangelia I. Zacharaki; Konstantinos Moustakas (CoRR, 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. - Alexia G. Tzalavra; Ioannis Andreadis; Kalliopi V. Dalakleidi; Fotios Constantinidis; Evangelia I. Zacharaki; Konstantina S. Nikita (Expert Syst. J. Knowl. Eng., 2022)

Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification. - Evgenios N. Kornaropoulos; Evangelia I. Zacharaki; Pierre Zerbib; Chieh Lin; Alain Rahmouni; Nikos Paragios (IEEE J. Biomed. Health Informatics, 2022)

Broad-to-Narrow Registration and Identification of 3D Objects in Partially Scanned and Cluttered Point Clouds. - Gerasimos Arvanitis; Evangelia I. Zacharaki; Libor Vása; Konstantinos Moustakas (IEEE Trans. Multim., 2022)

AI Sound Recognition on Asthma Medication Adherence: Evaluation With the RDA Benchmark Suite. - Nikolaos D. Fakotakis; Stavros Nousias; Gerasimos Arvanitis; Evangelia I. Zacharaki; Konstantinos Moustakas (IEEE Access, 2023)

Cooperative Saliency-based Obstacle Detection and AR Rendering for Increased Situational Awareness. - Gerasimos Arvanitis; Nikolaos Stagakis; Evangelia I. Zacharaki; Konstantinos Moustakas (CoRR, 2023)

Cooperative Saliency-Based Pothole Detection and AR Rendering for Increased Situational Awareness. - Gerasimos Arvanitis; Nikolaos Stagakis; Evangelia I. Zacharaki; Konstantinos Moustakas (IEEE Trans. Intell. Transp. Syst., 2024)

Machine Learning Approaches for 3D Motion Synthesis and Musculoskeletal Dynamics Estimation: A Survey. - Iliana Loi; Evangelia I. Zacharaki; Konstantinos Moustakas (IEEE Trans. Vis. Comput. Graph., 2024)