Evangelia I. Zacharaki

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 52

Top Topics

Benchmark Suite

Tensor Decomposition

Activity Recognition

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Gerasimos Arvanitis, Nikolaos Stagakis, Evangelia I. Zacharaki, Konstantinos Moustakas
Cooperative Saliency-Based Pothole Detection and AR Rendering for Increased Situational Awareness. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Iliana Loi, Evangelia I. Zacharaki, Konstantinos Moustakas
Machine Learning Approaches for 3D Motion Synthesis and Musculoskeletal Dynamics Estimation: A Survey. IEEE Trans. Vis. Comput. Graph. 30 (8) (2024)
Nikolaos D. Fakotakis, Stavros Nousias, Gerasimos Arvanitis, Evangelia I. Zacharaki, Konstantinos Moustakas
AI Sound Recognition on Asthma Medication Adherence: Evaluation With the RDA Benchmark Suite. IEEE Access 11 (2023)
Gerasimos Arvanitis, Nikolaos Stagakis, Evangelia I. Zacharaki, Konstantinos Moustakas
Cooperative Saliency-based Obstacle Detection and AR Rendering for Increased Situational Awareness. CoRR (2023)
Gerasimos Arvanitis, Evangelia I. Zacharaki, Libor Vása, Konstantinos Moustakas
Broad-to-Narrow Registration and Identification of 3D Objects in Partially Scanned and Cluttered Point Clouds. IEEE Trans. Multim. 24 (2022)
Nikos Fakotakis, Stavros Nousias, Gerasimos Arvanitis, Evangelia I. Zacharaki, Konstantinos Moustakas
Revisiting Audio Pattern Recognition for Asthma Medication Adherence: Evaluation with the RDA Benchmark Suite. CoRR (2022)
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
SHREC 2021: Classification in cryo-electron tomograms. CoRR (2022)
Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Efstratios Kontopoulos, Gerasimos Arvanitis, Alessandro Zanella, Panagiotis Mitzias, Evangelia I. Zacharaki, Pavlos Kosmides, Nikos Piperigkos, Konstantinos Moustakas, Aris S. Lalos
Semantic Data Integration for Monitoring Operators' Ergonomics in an Automotive Manufacturing Setting. ESWC (Satellite Events) (2022)
Gerasimos Damigos, Nefeli Zerva, Angelos Pavlopoulos, Konstantina Chatzikyrkou, Argyro Koumenti, Konstantinos Moustakas, Constantinos Pantos, Iordanis Mourouzis, Athanasios Lourbopoulos, Evangelia I. Zacharaki
Automated TTC Image-Based Analysis of Mouse Brain Lesions. IWBBIO (1) (2022)
Alexia G. Tzalavra, Ioannis Andreadis, Kalliopi V. Dalakleidi, Fotios Constantinidis, Evangelia I. Zacharaki, Konstantina S. Nikita
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. 39 (4) (2022)
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
A User Evaluation Study of Augmented and Virtual Reality Tools for Training and Knowledge Transfer. HCI (8) (2022)
Leonidas Liakopoulos, Nikolaos Stagakis, Evangelia I. Zacharaki, Konstantinos Moustakas
CNN-based stress and emotion recognition in ambulatory settings. IISA (2021)
Mihir Sahasrabudhe, Pierre Sujobert, Evangelia I. Zacharaki, Eugénie Maurin, Béatrice Grange, Laurent Jallades, Nikos Paragios, Maria Vakalopoulou
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. IEEE J. Biomed. Health Informatics 25 (6) (2021)
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
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties. Comput. Graph. 99 (2021)
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
SHREC 2021: Classification in Cryo-electron Tomograms. 3DOR (2021)
Konstantinos Filip, Evangelia I. Zacharaki, Konstantinos Moustakas
Regularized multi-structural shape modeling of the knee complex based on deep functional maps. Comput. Medical Imaging Graph. 89 (2021)
Michail Pavlou, Dimitrios Laskos, Evangelia I. Zacharaki, Konstantinos Risvas, Konstantinos Moustakas
XRSISE: An XR Training System for Interactive Simulation and Ergonomics Assessment. Frontiers Virtual Real. 2 (2021)
Georgios Keramidas, Christos P. Antonopoulos, Nikolaos S. Voros, Pekka Jääskeläinen, Marisa Catalán Cid, Evangelia I. Zacharaki, Apostolos P. Fournaris, Aris S. Lalos
CPSoSaware: Cross-Layer Cognitive Optimization Tools & Methods for the Lifecycle Support of Dependable CPSoS. ISVLSI (2020)
Georgios Giarmatzis, Evangelia I. Zacharaki, Konstantinos Moustakas
Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning. Sensors 20 (23) (2020)
Georgios Giarmatzis, Evangelia I. Zacharaki, Konstantinos Moustakas
Neural network based prediction of knee contact forces for different gait speeds. BIBM (2020)
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
FrailSafe: An ICT Platform for Unobtrusive Sensing of Multi-Domain Frailty for Personalized Interventions. IEEE J. Biomed. Health Informatics 24 (6) (2020)
Konstantinos Risvas, Michail Pavlou, Evangelia I. Zacharaki, Konstantinos Moustakas
Biophysics-based simulation of virtual human model interactions in 3D virtual scenes. VR Workshops (2020)
Filippos P. Nikolopoulos, Evangelia I. Zacharaki, Dimitar Stanev, Konstantinos Moustakas
Personalized Knee Geometry Modeling Based on Multi-Atlas Segmentation and Mesh Refinement. IEEE Access 8 (2020)
Vaggelis Ntalianis, Nikolaos D. Fakotakis, Stavros Nousias, Aris S. Lalos, Michael K. Birbas, Evangelia I. Zacharaki, Konstantinos Moustakas
Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification. Sensors 20 (8) (2020)
Aimilia Papagiannaki, Evangelia I. Zacharaki, Gerasimos Kalouris, Spyridon Kalogiannis, Konstantinos Deltouzos, John Ellul, Vasileios Megalooikonomou
Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data. Sensors 19 (4) (2019)
Thomas Papastergiou, Evangelia I. Zacharaki, Vasileios Megalooikonomou
TensMIL2: Improved Multiple Instance Classification Through Tensor Decomposition and Instance Selection. EUSIPCO (2019)
Gerasimos Kalouris, Evangelia I. Zacharaki, Vasileios Megalooikonomou
Improving CNN-based activity recognition by data augmentation and transfer learning. INDIN (2019)
Nikolaos Stagakis, Evangelia I. Zacharaki, Konstantinos Moustakas
Hierarchical Image Inpainting by a Deep Context Encoder Exploiting Structural Similarity and Saliency Criteria. ICVS (2019)
Spyridon Kalogiannis, Konstantinos Deltouzos, Evangelia I. Zacharaki, Andreas Vasilakis, Konstantinos Moustakas, John Ellul, Vasileios Megalooikonomou
Integrating an openEHR-based personalized virtual model for the ageing population within HBase. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Dionysis Pettas, Stavros Nousias, Evangelia I. Zacharaki, Konstantinos Moustakas
Recognition of Breathing Activity and Medication Adherence using LSTM Neural Networks. BIBE (2019)
Argyro Tsirtsi, Evangelia I. Zacharaki, Spyridon Kalogiannis, Vasileios Megalooikonomou
Clinical profile prediction by multiple instance learning from multi-sensorial data. IISA (2019)
Efstathios Branikas, Thomas Papastergiou, Evangelia I. Zacharaki, Vasileios Megalooikonomou
Instance Selection Techniques for Multiple Instance Classification. IISA (2019)
Evangelia Pippa, Evangelia I. Zacharaki, Ahmet Turan Özdemir, Billur Barshan, Vasileios Megalooikonomou
Global vs local classification models for multi-sensor data fusion. SETN (2018)
Thomas Papastergiou, Evangelia I. Zacharaki, Vasileios Megalooikonomou
Tensor Decomposition for Multiple-Instance Classification of High-Order Medical Data. Complex. 2018 (2018)
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
Meeting challenges of activity recognition for ageing population in real life settings. HealthCom (2018)
Spyridon Kalogiannis, Evangelia I. Zacharaki, Konstantinos Deltouzos, Marina Kotsani, John Ellul, Athanase Benetos, Vasileios Megalooikonomou
Geriatric group analysis by clustering non-linearly embedded multi-sensor data. INISTA (2018)
Maria Vakalopoulou, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Evangelia I. Zacharaki
Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation. ISBI (2018)
Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, R. Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. MICCAI (4) (2018)
Stavros Alchatzidis, Aristeidis Sotiras, Evangelia I. Zacharaki, Nikos Paragios
A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation. Int. J. Comput. Vis. 121 (1) (2017)
Evangelia I. Zacharaki
Prediction of protein function using a deep convolutional neural network ensemble. PeerJ Prepr. 5 (2017)
Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Vasileios Megalooikonomou, Nikos Paragios, Evangelia I. Zacharaki
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation. CoRR (2017)
Vasileios G. Kanas, Evangelia I. Zacharaki, Ginu A. Thomas, Pascal O. Zinn, Vasileios Megalooikonomou, Rivka R. Colen
Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma. Comput. Methods Programs Biomed. 140 (2017)
Evangelia I. Zacharaki
Prediction of protein function using a deep convolutional neural network ensemble. PeerJ Comput. Sci. 3 (2017)
Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Nikos Paragios, Evangelia I. Zacharaki
A Machine Learning Methodology for Enzyme Functional Classification Combining Structural and Protein Sequence Descriptors. IWBBIO (2016)
Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
Optimal Estimation of Diffusion in DW-MRI by High-Order MRF-Based Joint Deformable Registration and Diffusion Modeling. CVPR Workshops (2016)
Evangelia Pippa, Vasileios G. Kanas, Evangelia I. Zacharaki, Vasiliki Tsirka, Michael Koutroumanidis, Vasileios Megalooikonomou
EEG-based Classification of Epileptic and Non-Epileptic Events using Multi-Array Decomposition. Int. J. Monit. Surveillance Technol. Res. 4 (2) (2016)
Evangelia Pippa, Evangelia I. Zacharaki, Iosif Mporas, Vasiliki Tsirka, Mark P. Richardson, Michael Koutroumanidis, Vasileios Megalooikonomou
Improving classification of epileptic and non-epileptic EEG events by feature selection. Neurocomputing 171 (2016)
Evangelia I. Zacharaki, Iosif Mporas, Kyriakos Garganis, Vasileios Megalooikonomou
Spike pattern recognition by supervised classification in low dimensional embedding space. Brain Informatics 3 (2) (2016)
Evgenios N. Kornaropoulos, Evangelia I. Zacharaki, Pierre Zerbib, Chieh Lin, Alain Rahmouni, Nikos Paragios
Deformable group-wise registration using a physiological model: Application to diffusion-weighted MRI. ICIP (2016)
Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki
(Hyper)-graphical models in biomedical image analysis. Medical Image Anal. 33 (2016)
Alexia Tzalavra, Kalliopi Dalakleidi, Evangelia I. Zacharaki, Nikolaos N. Tsiaparas, Fotios Constantinidis, Nikos Paragios, Konstantina S. Nikita
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI. MLMI@MICCAI (2016)
Vasileios G. Kanas, Evangelia I. Zacharaki, Evangelia Pippa, Vasiliki Tsirka, Michael Koutroumanidis, Vasileios Megalooikonomou
Classification of epileptic and non-epileptic events using tensor decomposition. BIBE (2015)
Vasileios G. Kanas, Evangelia I. Zacharaki, Christos Davatzikos, Kyriakos N. Sgarbas, Vasileios Megalooikonomou
A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker. Biomed. Signal Process. Control. 22 (2015)
Iosif Mporas, Vasiliki Tsirka, Evangelia I. Zacharaki, Michalis Koutroumanidis, Mark P. Richardson, Vasileios Megalooikonomou
Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients. Expert Syst. Appl. 42 (6) (2015)
Güray Erus, Evangelia I. Zacharaki, Christos Davatzikos
Individualized statistical learning from medical image databases: Application to identification of brain lesions. Medical Image Anal. 18 (3) (2014)
Evangelia Pippa, Evangelia I. Zacharaki, Iosif Mporas, Vasileios Megalooikonomou, Vasiliki Tsirka, Mark P. Richardson, Michael Koutroumanidis
Classification of epileptic and non-epileptic EEG events. MobiHealth (2014)
Iosif Mporas, Vasiliki Tsirka, Evangelia I. Zacharaki, Michalis Koutroumanidis, Vasileios Megalooikonomou
Evaluation of time and frequency domain features for seizure detection from combined EEG and ECG signals. PETRA (2014)
Iosif Mporas, Vasiliki Tsirka, Evangelia I. Zacharaki, Michalis Koutroumanidis, Vasileios Megalooikonomou
Online Seizure Detection from EEG and ECG Signals for Monitoring of Epileptic Patients. SETN (2014)
Evangelia I. Zacharaki, Kyriakos Garganis, Iosif Mporas, Vasilis Megalooikonomou
Spike detection in EEG by LPP and SVM. BHI (2014)
Evangelia I. Zacharaki, Evangelia Pippa, Andreas M. Koupparis, Vasileios Kokkinos, George K. Kostopoulos, Vasileios Megalooikonomou
One-class classification of temporal EEG patterns for K-complex extraction. EMBC (2013)
Amalia Charisi, Fragkiskos D. Malliaros, Evangelia I. Zacharaki, Vasileios Megalooikonomou
Multiresolution similarity search in time series data: an application to EEG signals. PETRA (2013)
Iosif Mporas, Panagiotis Korvesis, Evangelia I. Zacharaki, Vasilis Megalooikonomou
Sleep Spindle Detection in EEG Signals Combining HMMs and SVMs. EANN (2) (2013)
Konstantina Dimitrakopoulou, George Dimitrakopoulos, Evangelia I. Zacharaki, Ioannis A. Maraziotis, Kyriakos N. Sgarbas, Anastasios Bezerianos
Revealing the dynamic modularity of composite biological networks in breast cancer treatment. EMBC (2012)
Evangelia I. Zacharaki, Angeliki Skoura, Desmond J. Smith, Scott Faro, Li An, Vasileios Megalooikonomou
Combining gene expression and function in a spatially localized approach. BIBM (2012)
Vasileios G. Kanas, Evangelia I. Zacharaki, Evangelos Dermatas, Anastasios Bezerianos, Kyriakos N. Sgarbas, Christos Davatzikos
Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation. AIAI (2) (2012)
Evangelia I. Zacharaki, Angeliki Skoura, Li An, Desmond J. Smith, Vasileios Megalooikonomou
Using an Atlas-Based Approach in the Analysis of Gene Expression Maps Obtained by Voxelation. AIAI (2) (2012)
Samuel Kadoury, Güray Erus, Evangelia I. Zacharaki, Nikos Paragios, Christos Davatzikos
Manifold-constrained embeddings for the detection of white matter lesions in brain MRI. ISBI (2012)
Evangelia I. Zacharaki, Anastasios Bezerianos
Abnormality Segmentation in Brain Images Via Distributed Estimation. IEEE Trans. Inf. Technol. Biomed. 16 (3) (2012)
Evangelia I. Zacharaki, Güray Erus, Anastasios Bezerianos, Christos Davatzikos
Fuzzy Multi-channel Clustering with Individualized Spatial Priors for Segmenting Brain Lesions and Infarcts. AIAI (2) (2012)
Evangelia I. Zacharaki, Vasileios G. Kanas, Christos Davatzikos
Investigating machine learning techniques for MRI-based classification of brain neoplasms. Int. J. Comput. Assist. Radiol. Surg. 6 (6) (2011)
Christos Davatzikos, Evangelia I. Zacharaki, Ali Gooya, Vanessa Clark
Multi-parametric analysis and registration of brain tumors: Constructing statistical atlases and diagnostic tools of predictive value. EMBC (2011)
Güray Erus, Evangelia I. Zacharaki, R. Nick Bryan, Christos Davatzikos
Learning high-dimensional image statistics for abnormality detection on medical images. CVPR Workshops (2010)
Evangelia I. Zacharaki, Cosmina Hogea, Dinggang Shen, George Biros, Christos Davatzikos
Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth. NeuroImage 46 (3) (2009)
Evangelia I. Zacharaki, Sumei Wang, Sanjeev Chawla, Dong Soo Yoo, Ronald L. Wolf, Elias R. Melhem, Christos Davatzikos
MRI-Based Classification of Brain Tumor Type and Grade Using SVM-RFE. ISBI (2009)
Evangelia I. Zacharaki, Cosmina Hogea, Dinggang Shen, George Biros, Christos Davatzikos
Corrigendum to "Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth" [NeuroImage 46 (2009) 762-774]. NeuroImage 47 (2) (2009)
Evangelia I. Zacharaki, Cosmina S. Hogea, Dinggang Shen, George Biros, Christos Davatzikos
Parallel optimization of tumor model parameters for fast registration of brain tumor images. Medical Imaging: Image Processing (2008)
Evangelia I. Zacharaki, Cosmina Hogea, George Biros, Christos Davatzikos
A Comparative Study of Biomechanical Simulators in Deformable Registration of Brain Tumor Images. IEEE Trans. Biomed. Eng. 55 (3) (2008)
Evangelia I. Zacharaki, Dinggang Shen, Seung-Koo Lee, Christos Davatzikos
ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images. IEEE Trans. Medical Imaging 27 (8) (2008)
Evangelia I. Zacharaki, Stathis Kanterakis, R. Nick Bryan, Christos Davatzikos
Measuring Brain Lesion Progression with a Supervised Tissue Classification System. MICCAI (1) (2008)
Kayhan N. Batmanghelich, Xiaoying Wu, Evangelia I. Zacharaki, Clyde E. Markowitz, Christos Davatzikos, Ragini Verma
Multiparametric tissue abnormality characterization using manifold regularization. Medical Imaging: Computer-Aided Diagnosis (2008)
Evangelia I. Zacharaki, Dinggang Shen, Ashraf Mohamed, Christos Davatzikos
Registration of brain images with tumors: towards the construction of statistical atlases for therapy planning. ISBI (2006)
Ashraf Mohamed, Evangelia I. Zacharaki, Dinggang Shen, Christos Davatzikos
Deformable registration of brain tumor images via a statistical model of tumor-induced deformation. Medical Image Anal. 10 (5) (2006)
Efthymios Ntasis, Miltos Gletsos, Nicolaos A. Mouravliansky, Evangelia I. Zacharaki, Christos E. Vasios, Spyretta Golemati, Theofanis A. Maniatis, Konstantina S. Nikita
Telematics enabled virtual simulation system for radiation treatment planning. Comput. Biol. Medicine 35 (9) (2005)
Evangelia I. Zacharaki, Georgios S. Stamatakos, Konstantina S. Nikita, Nikolaos K. Uzunoglu
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. 76 (3) (2004)
Georgios S. Stamatakos, Dimitra D. Dionysiou, Evangelia I. Zacharaki, Nicolaos A. Mouravliansky, Konstantina S. Nikita, Nikolaos K. Uzunoglu
In silico radiation oncology: combining novel simulation algorithms with current visualization techniques. Proc. IEEE 90 (11) (2002)
Georgios S. Stamatakos, Evangelia I. Zacharaki, Mersini Makropoulou, Nicolaos A. Mouravliansky, Andy Marsh, Konstantina S. Nikita, Nikolaos K. Uzunoglu
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. 5 (4) (2001)
Georgios S. Stamatakos, Evangelia I. Zacharaki, Nicolaos A. Mouravliansky, Konstantinos K. Delibasis, Konstantina S. Nikita, Nikolaos K. Uzunoglu, Andy Marsh
Using Web Technologies and Meta-Computing to Visualise a Simplified Simulation Model of Tumor Growth in Vitro. HPCN Europe (1999)