Evangelia I. Zacharaki

89 papers B 2C 6Journal 43Unranked 37

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Cooperative Saliency-Based Pothole Detection and AR Rendering for Increased Situational Awareness. IEEE Trans. Intell. Transp. Syst. Gerasimos Arvanitis, Nikolaos Stagakis, Evangelia I. Zacharaki, Konstantinos Moustakas
2024	J	`jnl`	Machine Learning Approaches for 3D Motion Synthesis and Musculoskeletal Dynamics Estimation: A Survey. IEEE Trans. Vis. Comput. Graph. Iliana Loi, Evangelia I. Zacharaki, Konstantinos Moustakas
2023	J	`jnl`	AI Sound Recognition on Asthma Medication Adherence: Evaluation With the RDA Benchmark Suite. IEEE Access Nikolaos D. Fakotakis, Stavros Nousias, Gerasimos Arvanitis, Evangelia I. Zacharaki, Konstantinos Moustakas
2023	J	`jnl`	Cooperative Saliency-based Obstacle Detection and AR Rendering for Increased Situational Awareness. CoRR Gerasimos Arvanitis, Nikolaos Stagakis, Evangelia I. Zacharaki, Konstantinos Moustakas
2022	—	`conf`	A User Evaluation Study of Augmented and Virtual Reality Tools for Training and Knowledge Transfer. HCI (8) 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
2022	—	`conf`	Automated TTC Image-Based Analysis of Mouse Brain Lesions. IWBBIO (1) Gerasimos Damigos, Nefeli Zerva, Angelos Pavlopoulos, Konstantina Chatzikyrkou, Argyro Koumenti, Konstantinos Moustakas, Constantinos Pantos, Iordanis Mourouzis, Athanasios Lourbopoulos, Evangelia I. Zacharaki
2022	J	`jnl`	Broad-to-Narrow Registration and Identification of 3D Objects in Partially Scanned and Cluttered Point Clouds. IEEE Trans. Multim. Gerasimos Arvanitis, Evangelia I. Zacharaki, Libor Vása, Konstantinos Moustakas
2022	J	`jnl`	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. Alexia G. Tzalavra, Ioannis Andreadis, Kalliopi V. Dalakleidi, Fotios Constantinidis, Evangelia I. Zacharaki, Konstantina S. Nikita
2022	J	`jnl`	Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification. IEEE J. Biomed. Health Informatics Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
2022	J	`jnl`	Revisiting Audio Pattern Recognition for Asthma Medication Adherence: Evaluation with the RDA Benchmark Suite. CoRR Nikos Fakotakis, Stavros Nousias, Gerasimos Arvanitis, Evangelia I. Zacharaki, Konstantinos Moustakas
2022	J	`jnl`	SHREC 2021: Classification in cryo-electron tomograms. CoRR Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak, Giorgos Papoulias, Stavros Gerolymatos, Evangelia I. Zacharaki, Konstantinos Moustakas, Xiangrui Zeng, Sinuo Liu, Min Xu, Yaoyu Wang, Cheng Chen, Xuefeng Cui, Fa Zhang
2022	—	`conf`	Semantic Data Integration for Monitoring Operators' Ergonomics in an Automotive Manufacturing Setting. ESWC (Satellite Events) Efstratios Kontopoulos, Gerasimos Arvanitis, Alessandro Zanella, Panagiotis Mitzias, Evangelia I. Zacharaki, Pavlos Kosmides, Nikos Piperigkos, Konstantinos Moustakas, Aris S. Lalos
2021	—	`conf`	CNN-based stress and emotion recognition in ambulatory settings. IISA Leonidas Liakopoulos, Nikolaos Stagakis, Evangelia I. Zacharaki, Konstantinos Moustakas
2021	J	`jnl`	Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. IEEE J. Biomed. Health Informatics Mihir Sahasrabudhe, Pierre Sujobert, Evangelia I. Zacharaki, Eugénie Maurin, Béatrice Grange, Laurent Jallades, Nikos Paragios, Maria Vakalopoulou
2021	J	`jnl`	Regularized multi-structural shape modeling of the knee complex based on deep functional maps. Comput. Medical Imaging Graph. Konstantinos Filip, Evangelia I. Zacharaki, Konstantinos Moustakas
2021	—	`conf`	SHREC 2021: Classification in Cryo-electron Tomograms. 3DOR Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak, Giorgos Papoulias, Stavros Gerolymatos, Evangelia I. Zacharaki, Konstantinos Moustakas, Xiangrui Zeng, Sinuo Liu, Min Xu, Yaoyu Wang, Cheng Chen, Xuefeng Cui, Fa Zhang
2021	J	`jnl`	SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties. Comput. Graph. 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, Konstantinos Moustakas, Tunde Aderinwale, Charles Christoffer, Woong-Hee Shin, Daisuke Kihara, Andrea Giachetti, Huu-Nghia Nguyen, Tuan-Duy Nguyen, Vinh-Thuyen Nguyen-Truong, Danh Le-Thanh, Hai-Dang Nguyen, Minh-Triet Tran
2021	J	`jnl`	XRSISE: An XR Training System for Interactive Simulation and Ergonomics Assessment. Frontiers Virtual Real. Michail Pavlou, Dimitrios Laskos, Evangelia I. Zacharaki, Konstantinos Risvas, Konstantinos Moustakas
2020	—	`conf`	Biophysics-based simulation of virtual human model interactions in 3D virtual scenes. VR Workshops Konstantinos Risvas, Michail Pavlou, Evangelia I. Zacharaki, Konstantinos Moustakas
2020	—	`conf`	CPSoSaware: Cross-Layer Cognitive Optimization Tools & Methods for the Lifecycle Support of Dependable CPSoS. ISVLSI Georgios Keramidas, Christos P. Antonopoulos, Nikolaos S. Voros, Pekka Jääskeläinen, Marisa Catalán Cid, Evangelia I. Zacharaki, Apostolos P. Fournaris, Aris S. Lalos
2020	J	`jnl`	Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification. Sensors Vaggelis Ntalianis, Nikolaos D. Fakotakis, Stavros Nousias, Aris S. Lalos, Michael K. Birbas, Evangelia I. Zacharaki, Konstantinos Moustakas
2020	J	`jnl`	FrailSafe: An ICT Platform for Unobtrusive Sensing of Multi-Domain Frailty for Personalized Interventions. IEEE J. Biomed. Health Informatics 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
2020	—	`conf`	Neural network based prediction of knee contact forces for different gait speeds. BIBM Georgios Giarmatzis, Evangelia I. Zacharaki, Konstantinos Moustakas
2020	J	`jnl`	Personalized Knee Geometry Modeling Based on Multi-Atlas Segmentation and Mesh Refinement. IEEE Access Filippos P. Nikolopoulos, Evangelia I. Zacharaki, Dimitar Stanev, Konstantinos Moustakas
2020	J	`jnl`	Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning. Sensors Georgios Giarmatzis, Evangelia I. Zacharaki, Konstantinos Moustakas
2019	—	`conf`	Clinical profile prediction by multiple instance learning from multi-sensorial data. IISA Argyro Tsirtsi, Evangelia I. Zacharaki, Spyridon Kalogiannis, Vasileios Megalooikonomou
2019	C	`conf`	Hierarchical Image Inpainting by a Deep Context Encoder Exploiting Structural Similarity and Saliency Criteria. ICVS Nikolaos Stagakis, Evangelia I. Zacharaki, Konstantinos Moustakas
2019	C	`conf`	Improving CNN-based activity recognition by data augmentation and transfer learning. INDIN Gerasimos Kalouris, Evangelia I. Zacharaki, Vasileios Megalooikonomou
2019	—	`conf`	Instance Selection Techniques for Multiple Instance Classification. IISA Efstathios Branikas, Thomas Papastergiou, Evangelia I. Zacharaki, Vasileios Megalooikonomou
2019	J	`jnl`	Integrating an openEHR-based personalized virtual model for the ageing population within HBase. BMC Medical Informatics Decis. Mak. Spyridon Kalogiannis, Konstantinos Deltouzos, Evangelia I. Zacharaki, Andreas Vasilakis, Konstantinos Moustakas, John Ellul, Vasileios Megalooikonomou
2019	C	`conf`	Recognition of Breathing Activity and Medication Adherence using LSTM Neural Networks. BIBE Dionysis Pettas, Stavros Nousias, Evangelia I. Zacharaki, Konstantinos Moustakas
2019	J	`jnl`	Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data. Sensors Aimilia Papagiannaki, Evangelia I. Zacharaki, Gerasimos Kalouris, Spyridon Kalogiannis, Konstantinos Deltouzos, John Ellul, Vasileios Megalooikonomou
2019	—	`conf`	TensMIL2: Improved Multiple Instance Classification Through Tensor Decomposition and Instance Selection. EUSIPCO Thomas Papastergiou, Evangelia I. Zacharaki, Vasileios Megalooikonomou
2018	—	`conf`	AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. MICCAI (4) Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios
2018	—	`conf`	Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation. ISBI Maria Vakalopoulou, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Evangelia I. Zacharaki
2018	C	`conf`	Geriatric group analysis by clustering non-linearly embedded multi-sensor data. INISTA Spyridon Kalogiannis, Evangelia I. Zacharaki, Konstantinos Deltouzos, Marina Kotsani, John Ellul, Athanase Benetos, Vasileios Megalooikonomou
2018	—	`conf`	Global vs local classification models for multi-sensor data fusion. SETN Evangelia Pippa, Evangelia I. Zacharaki, Ahmet Turan Özdemir, Billur Barshan, Vasileios Megalooikonomou
2018	C	`conf`	Meeting challenges of activity recognition for ageing population in real life settings. HealthCom 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
2018	J	`jnl`	Tensor Decomposition for Multiple-Instance Classification of High-Order Medical Data. Complex. Thomas Papastergiou, Evangelia I. Zacharaki, Vasileios Megalooikonomou
2017	J	`jnl`	A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation. Int. J. Comput. Vis. Stavros Alchatzidis, Aristeidis Sotiras, Evangelia I. Zacharaki, Nikos Paragios
2017	—	`book`	Computational methods towards image-based biomarkers and beyond. (Méthodes computationnelles pour des biomarqueurs basés sur l'image et au-delà). Evangelia I. Zacharaki
2017	J	`jnl`	EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation. CoRR Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Vasileios Megalooikonomou, Nikos Paragios, Evangelia I. Zacharaki
2017	J	`jnl`	Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma. Comput. Methods Programs Biomed. Vasileios G. Kanas, Evangelia I. Zacharaki, Ginu A. Thomas, Pascal O. Zinn, Vasileios Megalooikonomou, Rivka R. Colen
2017	J	`jnl`	Prediction of protein function using a deep convolutional neural network ensemble. PeerJ Comput. Sci. Evangelia I. Zacharaki
2017	J	`jnl`	Prediction of protein function using a deep convolutional neural network ensemble. PeerJ Prepr. Evangelia I. Zacharaki
2016	J	`jnl`	(Hyper)-graphical models in biomedical image analysis. Medical Image Anal. Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki
2016	—	`conf`	A Machine Learning Methodology for Enzyme Functional Classification Combining Structural and Protein Sequence Descriptors. IWBBIO Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Nikos Paragios, Evangelia I. Zacharaki
2016	—	`conf`	Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI. MLMI@MICCAI Alexia Tzalavra, Kalliopi Dalakleidi, Evangelia I. Zacharaki, Nikolaos N. Tsiaparas, Fotios Constantinidis, Nikos Paragios, Konstantina S. Nikita
2016	B	`conf`	Deformable group-wise registration using a physiological model: Application to diffusion-weighted MRI. ICIP Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
2016	J	`jnl`	EEG-based Classification of Epileptic and Non-Epileptic Events using Multi-Array Decomposition. Int. J. Monit. Surveillance Technol. Res. Evangelia Pippa, Vasileios G. Kanas, Evangelia I. Zacharaki, Vasiliki Tsirka, Michael Koutroumanidis, Vasileios Megalooikonomou
2016	J	`jnl`	Improving classification of epileptic and non-epileptic EEG events by feature selection. Neurocomputing Evangelia Pippa, Evangelia I. Zacharaki, Iosif Mporas, Vasiliki Tsirka, Mark P. Richardson, Michael Koutroumanidis, Vasileios Megalooikonomou
2016	—	`conf`	Optimal Estimation of Diffusion in DW-MRI by High-Order MRF-Based Joint Deformable Registration and Diffusion Modeling. CVPR Workshops Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
2016	J	`jnl`	Spike pattern recognition by supervised classification in low dimensional embedding space. Brain Informatics Evangelia I. Zacharaki, Iosif Mporas, Kyriakos Garganis, Vasileios Megalooikonomou
2015	J	`jnl`	A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker. Biomed. Signal Process. Control. Vasileios G. Kanas, Evangelia I. Zacharaki, Christos Davatzikos, Kyriakos N. Sgarbas, Vasileios Megalooikonomou
2015	C	`conf`	Classification of epileptic and non-epileptic events using tensor decomposition. BIBE Vasileios G. Kanas, Evangelia I. Zacharaki, Evangelia Pippa, Vasiliki Tsirka, Michael Koutroumanidis, Vasileios Megalooikonomou
2015	J	`jnl`	Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients. Expert Syst. Appl. Iosif Mporas, Vasiliki Tsirka, Evangelia I. Zacharaki, Michalis Koutroumanidis, Mark P. Richardson, Vasileios Megalooikonomou
2014	—	`conf`	Classification of epileptic and non-epileptic EEG events. MobiHealth Evangelia Pippa, Evangelia I. Zacharaki, Iosif Mporas, Vasileios Megalooikonomou, Vasiliki Tsirka, Mark P. Richardson, Michael Koutroumanidis
2014	—	`conf`	Evaluation of time and frequency domain features for seizure detection from combined EEG and ECG signals. PETRA Iosif Mporas, Vasiliki Tsirka, Evangelia I. Zacharaki, Michalis Koutroumanidis, Vasileios Megalooikonomou
2014	J	`jnl`	Individualized statistical learning from medical image databases: Application to identification of brain lesions. Medical Image Anal. Güray Erus, Evangelia I. Zacharaki, Christos Davatzikos
2014	—	`conf`	Online Seizure Detection from EEG and ECG Signals for Monitoring of Epileptic Patients. SETN Iosif Mporas, Vasiliki Tsirka, Evangelia I. Zacharaki, Michalis Koutroumanidis, Vasileios Megalooikonomou
2014	—	`conf`	Spike detection in EEG by LPP and SVM. BHI Evangelia I. Zacharaki, Kyriakos Garganis, Iosif Mporas, Vasilis Megalooikonomou
2013	—	`conf`	Multiresolution similarity search in time series data: an application to EEG signals. PETRA Amalia Charisi, Fragkiskos D. Malliaros, Evangelia I. Zacharaki, Vasileios Megalooikonomou
2013	—	`conf`	One-class classification of temporal EEG patterns for K-complex extraction. EMBC Evangelia I. Zacharaki, Evangelia Pippa, Andreas M. Koupparis, Vasileios Kokkinos, George K. Kostopoulos, Vasileios Megalooikonomou
2013	—	`conf`	Sleep Spindle Detection in EEG Signals Combining HMMs and SVMs. EANN (2) Iosif Mporas, Panagiotis Korvesis, Evangelia I. Zacharaki, Vasilis Megalooikonomou
2012	J	`jnl`	Abnormality Segmentation in Brain Images Via Distributed Estimation. IEEE Trans. Inf. Technol. Biomed. Evangelia I. Zacharaki, Anastasios Bezerianos
2012	—	`conf`	Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation. AIAI (2) Vasileios G. Kanas, Evangelia I. Zacharaki, Evangelos Dermatas, Anastasios Bezerianos, Kyriakos N. Sgarbas, Christos Davatzikos
2012	—	`conf`	Combining gene expression and function in a spatially localized approach. BIBM Evangelia I. Zacharaki, Angeliki Skoura, Desmond J. Smith, Scott Faro, Li An, Vasileios Megalooikonomou
2012	—	`conf`	Fuzzy Multi-channel Clustering with Individualized Spatial Priors for Segmenting Brain Lesions and Infarcts. AIAI (2) Evangelia I. Zacharaki, Güray Erus, Anastasios Bezerianos, Christos Davatzikos
2012	—	`conf`	Manifold-constrained embeddings for the detection of white matter lesions in brain MRI. ISBI Samuel Kadoury, Güray Erus, Evangelia I. Zacharaki, Nikos Paragios, Christos Davatzikos
2012	—	`conf`	Revealing the dynamic modularity of composite biological networks in breast cancer treatment. EMBC Konstantina Dimitrakopoulou, Georgios N. Dimitrakopoulos, Evangelia I. Zacharaki, Ioannis A. Maraziotis, Kyriakos N. Sgarbas, Anastasios Bezerianos
2012	—	`conf`	Using an Atlas-Based Approach in the Analysis of Gene Expression Maps Obtained by Voxelation. AIAI (2) Evangelia I. Zacharaki, Angeliki Skoura, Li An, Desmond J. Smith, Vasileios Megalooikonomou
2011	J	`jnl`	Investigating machine learning techniques for MRI-based classification of brain neoplasms. Int. J. Comput. Assist. Radiol. Surg. Evangelia I. Zacharaki, Vasileios G. Kanas, Christos Davatzikos
2011	—	`conf`	Multi-parametric analysis and registration of brain tumors: Constructing statistical atlases and diagnostic tools of predictive value. EMBC Christos Davatzikos, Evangelia I. Zacharaki, Ali Gooya, Vanessa Clark
2010	—	`conf`	Learning high-dimensional image statistics for abnormality detection on medical images. CVPR Workshops Güray Erus, Evangelia I. Zacharaki, R. Nick Bryan, Christos Davatzikos
2009	J	`jnl`	Corrigendum to "Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth" [NeuroImage 46 (2009) 762-774]. NeuroImage Evangelia I. Zacharaki, Cosmina Hogea, Dinggang Shen, George Biros, Christos Davatzikos
2009	—	`conf`	MRI-Based Classification of Brain Tumor Type and Grade Using SVM-RFE. ISBI Evangelia I. Zacharaki, Sumei Wang, Sanjeev Chawla, Dong Soo Yoo, Ronald L. Wolf, Elias R. Melhem, Christos Davatzikos
2009	J	`jnl`	Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth. NeuroImage Evangelia I. Zacharaki, Cosmina Hogea, Dinggang Shen, George Biros, Christos Davatzikos
2008	J	`jnl`	A Comparative Study of Biomechanical Simulators in Deformable Registration of Brain Tumor Images. IEEE Trans. Biomed. Eng. Evangelia I. Zacharaki, Cosmina Hogea, George Biros, Christos Davatzikos
2008	—	`conf`	Measuring Brain Lesion Progression with a Supervised Tissue Classification System. MICCAI (1) Evangelia I. Zacharaki, Stathis Kanterakis, R. Nick Bryan, Christos Davatzikos
2008	—	`conf`	Multiparametric tissue abnormality characterization using manifold regularization. Computer-Aided Diagnosis Kayhan N. Batmanghelich, Xiaoying Wu, Evangelia I. Zacharaki, Clyde E. Markowitz, Christos Davatzikos, Ragini Verma
2008	J	`jnl`	ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images. IEEE Trans. Medical Imaging Evangelia I. Zacharaki, Dinggang Shen, Seung-Koo Lee, Christos Davatzikos
2008	B	`conf`	Parallel optimization of tumor model parameters for fast registration of brain tumor images. Image Processing Evangelia I. Zacharaki, Cosmina S. Hogea, Dinggang Shen, George Biros, Christos Davatzikos
2006	J	`jnl`	Deformable registration of brain tumor images via a statistical model of tumor-induced deformation. Medical Image Anal. Ashraf Mohamed, Evangelia I. Zacharaki, Dinggang Shen, Christos Davatzikos
2006	—	`conf`	Registration of brain images with tumors: towards the construction of statistical atlases for therapy planning. ISBI Evangelia I. Zacharaki, Dinggang Shen, Ashraf Mohamed, Christos Davatzikos
2005	J	`jnl`	Telematics enabled virtual simulation system for radiation treatment planning. Comput. Biol. Medicine Efthymios Ntasis, Miltos Gletsos, Nicolaos A. Mouravliansky, Evangelia I. Zacharaki, Christos E. Vasios, Spyretta Golemati, Theofanis A. Maniatis, Konstantina S. Nikita
2004	J	`jnl`	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. Evangelia I. Zacharaki, Georgios S. Stamatakos, Konstantina S. Nikita, Nikolaos K. Uzunoglu
2002	J	`jnl`	In silico radiation oncology: combining novel simulation algorithms with current visualization techniques. Proc. IEEE Georgios S. Stamatakos, Dimitra D. Dionysiou, Evangelia I. Zacharaki, Nicolaos A. Mouravliansky, Konstantina S. Nikita, Nikolaos K. Uzunoglu
2001	J	`jnl`	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. Georgios S. Stamatakos, Evangelia I. Zacharaki, Mersini Makropoulou, Nicolaos A. Mouravliansky, Andy Marsh, Konstantina S. Nikita, Nikolaos K. Uzunoglu
1999	—	`conf`	Using Web Technologies and Meta-Computing to Visualise a Simplified Simulation Model of Tumor Growth in Vitro. HPCN Europe Georgios S. Stamatakos, Evangelia I. Zacharaki, Nicolaos A. Mouravliansky, Konstantinos K. Delibasis, Konstantina S. Nikita, Nikolaos K. Uzunoglu, Andy Marsh