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Evangelia I. Zacharaki
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2020 – today
- 2024
- [j38]Gerasimos Arvanitis
, Nikolaos Stagakis
Cooperative Saliency-Based Pothole Detection and AR Rendering for Increased Situational Awareness. IEEE Trans. Intell. Transp. Syst. 25(5): 3588-3604 (2024) - [j37]Iliana Loi
Machine Learning Approaches for 3D Motion Synthesis and Musculoskeletal Dynamics Estimation: A Survey. IEEE Trans. Vis. Comput. Graph. 30(8): 5810-5829 (2024) - 2023
- [j36]Nikolaos D. Fakotakis
AI Sound Recognition on Asthma Medication Adherence: Evaluation With the RDA Benchmark Suite. IEEE Access 11: 13810-13829 (2023) - [i5]Gerasimos Arvanitis, Nikolaos Stagakis, Evangelia I. Zacharaki, Konstantinos Moustakas:
Cooperative Saliency-based Obstacle Detection and AR Rendering for Increased Situational Awareness. CoRR abs/2302.00916 (2023) - 2022
- [j35]Alexia G. Tzalavra
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) - [j34]Evgenios N. Kornaropoulos
Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification. IEEE J. Biomed. Health Informatics 26(7): 3151-3162 (2022) - [j33]Gerasimos Arvanitis
Broad-to-Narrow Registration and Identification of 3D Objects in Partially Scanned and Cluttered Point Clouds. IEEE Trans. Multim. 24: 2230-2245 (2022) - [c45]Efstratios Kontopoulos
Semantic Data Integration for Monitoring Operators' Ergonomics in an Automotive Manufacturing Setting. ESWC (Satellite Events) 2022: 303-306 - [c44]Evangelia I. Zacharaki
A User Evaluation Study of Augmented and Virtual Reality Tools for Training and Knowledge Transfer. HCI (8) 2022: 291-304 - [c43]Gerasimos Damigos, Nefeli Zerva, Angelos Pavlopoulos, Konstantina Chatzikyrkou, Argyro Koumenti, Konstantinos Moustakas
Automated TTC Image-Based Analysis of Mouse Brain Lesions. IWBBIO (1) 2022: 135-142 - [i4]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 abs/2203.10035 (2022) - [i3]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 abs/2205.15360 (2022) - 2021
- [j32]Andrea Raffo
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties. Comput. Graph. 99: 1-21 (2021) - [j31]Konstantinos Filip
Regularized multi-structural shape modeling of the knee complex based on deep functional maps. Comput. Medical Imaging Graph. 89: 101890 (2021) - [j30]Michail Pavlou, Dimitrios Laskos
XRSISE: An XR Training System for Interactive Simulation and Ergonomics Assessment. Frontiers Virtual Real. 2: 646415 (2021) - [j29]Mihir Sahasrabudhe
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. IEEE J. Biomed. Health Informatics 25(6): 2125-2136 (2021) - [c42]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
SHREC 2021: Classification in Cryo-electron Tomograms. 3DOR 2021: 5-17 - [c41]Leonidas Liakopoulos, Nikolaos Stagakis, Evangelia I. Zacharaki, Konstantinos Moustakas:
CNN-based stress and emotion recognition in ambulatory settings. IISA 2021: 1-8 - 2020
- [j28]Filippos P. Nikolopoulos
Personalized Knee Geometry Modeling Based on Multi-Atlas Segmentation and Mesh Refinement. IEEE Access 8: 56766-56781 (2020) - [j27]Vaggelis Ntalianis, Nikolaos D. Fakotakis, Stavros Nousias
Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification. Sensors 20(8): 2363 (2020) - [j26]Georgios Giarmatzis
Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning. Sensors 20(23): 6933 (2020) - [j25]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): 1557-1568 (2020) - [c40]Georgios Giarmatzis
Neural network based prediction of knee contact forces for different gait speeds. BIBM 2020: 2590-2595 - [c39]Georgios Keramidas, Christos P. Antonopoulos, Nikolaos S. Voros
CPSoSaware: Cross-Layer Cognitive Optimization Tools & Methods for the Lifecycle Support of Dependable CPSoS. ISVLSI 2020: 470-475 - [c38]Konstantinos Risvas, Michail Pavlou, Evangelia I. Zacharaki, Konstantinos Moustakas:
Biophysics-based simulation of virtual human model interactions in 3D virtual scenes. VR Workshops 2020: 119-124
2010 – 2019
- 2019
- [j24]Spyridon Kalogiannis, Konstantinos Deltouzos
Integrating an openEHR-based personalized virtual model for the ageing population within HBase. BMC Medical Informatics Decis. Mak. 19(1): 25:1-25:15 (2019) - [j23]Aimilia Papagiannaki
Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data. Sensors 19(4): 880 (2019) - [c37]Dionysis Pettas, Stavros Nousias
Recognition of Breathing Activity and Medication Adherence using LSTM Neural Networks. BIBE 2019: 941-946 - [c36]Thomas Papastergiou, Evangelia I. Zacharaki, Vasileios Megalooikonomou:
TensMIL2: Improved Multiple Instance Classification Through Tensor Decomposition and Instance Selection. EUSIPCO 2019: 1-5 - [c35]Nikolaos Stagakis
Hierarchical Image Inpainting by a Deep Context Encoder Exploiting Structural Similarity and Saliency Criteria. ICVS 2019: 470-479 - [c34]Efstathios Branikas
Instance Selection Techniques for Multiple Instance Classification. IISA 2019: 1-7 - [c33]Argyro Tsirtsi, Evangelia I. Zacharaki, Spyridon Kalogiannis, Vasileios Megalooikonomou:
Clinical profile prediction by multiple instance learning from multi-sensorial data. IISA 2019: 1-8 - [c32]Gerasimos Kalouris, Evangelia I. Zacharaki, Vasileios Megalooikonomou:
Improving CNN-based activity recognition by data augmentation and transfer learning. INDIN 2019: 1387-1394 - 2018
- [j22]Thomas Papastergiou
Tensor Decomposition for Multiple-Instance Classification of High-Order Medical Data. Complex. 2018: 8651930:1-8651930:13 (2018) - [c31]Aimilia Papagiannaki, Evangelia I. Zacharaki, Konstantinos Deltouzos
Meeting challenges of activity recognition for ageing population in real life settings. HealthCom 2018: 1-6 - [c30]Spyridon Kalogiannis, Evangelia I. Zacharaki, Konstantinos Deltouzos
Geriatric group analysis by clustering non-linearly embedded multi-sensor data. INISTA 2018: 1-7 - [c29]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: 855-858 - [c28]Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios:
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. MICCAI (4) 2018: 658-666 - [c27]Evangelia Pippa, Evangelia I. Zacharaki, Ahmet Turan Özdemir, Billur Barshan
Global vs local classification models for multi-sensor data fusion. SETN 2018: 43:1-43:5 - 2017
- [b1]Evangelia I. Zacharaki:
Computational methods towards image-based biomarkers and beyond. (Méthodes computationnelles pour des biomarqueurs basés sur l'image et au-delà). University of Paris-Est, France, 2017 - [j21]Vasileios G. Kanas, Evangelia I. Zacharaki
Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma. Comput. Methods Programs Biomed. 140: 249-257 (2017) - [j20]Stavros Alchatzidis, Aristeidis Sotiras
A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation. Int. J. Comput. Vis. 121(1): 169-181 (2017) - [j19]Evangelia I. Zacharaki:
Prediction of protein function using a deep convolutional neural network ensemble. PeerJ Comput. Sci. 3: e124 (2017) - [i2]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 abs/1707.06017 (2017) - [i1]Evangelia I. Zacharaki:
Prediction of protein function using a deep convolutional neural network ensemble. PeerJ Prepr. 5: e2778 (2017) - 2016
- [j18]Evangelia I. Zacharaki
Spike pattern recognition by supervised classification in low dimensional embedding space. Brain Informatics 3(2): 73-83 (2016) - [j17]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): 1-15 (2016) - [j16]Evangelia Pippa, Evangelia I. Zacharaki
Improving classification of epileptic and non-epileptic EEG events by feature selection. Neurocomputing 171: 576-585 (2016) - [j15]Nikos Paragios, Enzo Ferrante
(Hyper)-graphical models in biomedical image analysis. Medical Image Anal. 33: 102-106 (2016) - [c26]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: 618-625 - [c25]Evgenios N. Kornaropoulos
Deformable group-wise registration using a physiological model: Application to diffusion-weighted MRI. ICIP 2016: 2345-2349 - [c24]Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis
A Machine Learning Methodology for Enzyme Functional Classification Combining Structural and Protein Sequence Descriptors. IWBBIO 2016: 728-738 - [c23]Alexia Tzalavra, Kalliopi Dalakleidi, Evangelia I. Zacharaki
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI. MLMI@MICCAI 2016: 296-304 - 2015
- [j14]Vasileios G. Kanas, Evangelia I. Zacharaki
A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker. Biomed. Signal Process. Control. 22: 19-30 (2015) - [j13]Iosif Mporas, Vasiliki Tsirka, Evangelia I. Zacharaki
Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients. Expert Syst. Appl. 42(6): 3227-3233 (2015) - [c22]Vasileios G. Kanas, Evangelia I. Zacharaki
Classification of epileptic and non-epileptic events using tensor decomposition. BIBE 2015: 1-5 - 2014
- [j12]Güray Erus, Evangelia I. Zacharaki
Individualized statistical learning from medical image databases: Application to identification of brain lesions. Medical Image Anal. 18(3): 542-554 (2014) - [c21]Evangelia I. Zacharaki
Spike detection in EEG by LPP and SVM. BHI 2014: 668-671 - [c20]Evangelia Pippa, Evangelia I. Zacharaki
Classification of epileptic and non-epileptic EEG events. MobiHealth 2014: 87-90 - [c19]Iosif Mporas, Vasiliki Tsirka, Evangelia I. Zacharaki
Evaluation of time and frequency domain features for seizure detection from combined EEG and ECG signals. PETRA 2014: 28:1-28:4 - [c18]Iosif Mporas, Vasiliki Tsirka, Evangelia I. Zacharaki
Online Seizure Detection from EEG and ECG Signals for Monitoring of Epileptic Patients. SETN 2014: 442-447 - 2013
- [c17]Iosif Mporas, Panagiotis Korvesis, Evangelia I. Zacharaki
Sleep Spindle Detection in EEG Signals Combining HMMs and SVMs. EANN (2) 2013: 138-145 - [c16]Evangelia I. Zacharaki
One-class classification of temporal EEG patterns for K-complex extraction. EMBC 2013: 5801-5804 - [c15]Amalia Charisi, Fragkiskos D. Malliaros, Evangelia I. Zacharaki
Multiresolution similarity search in time series data: an application to EEG signals. PETRA 2013: 33:1-33:8 - 2012
- [j11]Evangelia I. Zacharaki
Abnormality Segmentation in Brain Images Via Distributed Estimation. IEEE Trans. Inf. Technol. Biomed. 16(3): 330-338 (2012) - [c14]Evangelia I. Zacharaki
Combining gene expression and function in a spatially localized approach. BIBM 2012: 1-8 - [c13]Konstantina Dimitrakopoulou
Revealing the dynamic modularity of composite biological networks in breast cancer treatment. EMBC 2012: 5432-5436 - [c12]Vasileios G. Kanas, Evangelia I. Zacharaki
Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation. AIAI (2) 2012: 26-35 - [c11]Evangelia I. Zacharaki
Fuzzy Multi-channel Clustering with Individualized Spatial Priors for Segmenting Brain Lesions and Infarcts. AIAI (2) 2012: 76-85 - [c10]Evangelia I. Zacharaki
Using an Atlas-Based Approach in the Analysis of Gene Expression Maps Obtained by Voxelation. AIAI (2) 2012: 566-575 - [c9]Samuel Kadoury, Güray Erus, Evangelia I. Zacharaki
Manifold-constrained embeddings for the detection of white matter lesions in brain MRI. ISBI 2012: 562-565 - 2011
- [j10]Evangelia I. Zacharaki
Investigating machine learning techniques for MRI-based classification of brain neoplasms. Int. J. Comput. Assist. Radiol. Surg. 6(6): 821-828 (2011) - [c8]Christos Davatzikos
Multi-parametric analysis and registration of brain tumors: Constructing statistical atlases and diagnostic tools of predictive value. EMBC 2011: 6979-6981 - 2010
- [c7]Güray Erus, Evangelia I. Zacharaki
Learning high-dimensional image statistics for abnormality detection on medical images. CVPR Workshops 2010: 139-145
2000 – 2009
- 2009
- [j9]Evangelia I. Zacharaki
Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth. NeuroImage 46(3): 762-774 (2009) - [j8]Evangelia I. Zacharaki
Corrigendum to "Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth" [NeuroImage 46 (2009) 762-774]. NeuroImage 47(2): 779 (2009) - [c6]Evangelia I. Zacharaki
MRI-Based Classification of Brain Tumor Type and Grade Using SVM-RFE. ISBI 2009: 1035-1038 - 2008
- [j7]Evangelia I. Zacharaki
A Comparative Study of Biomechanical Simulators in Deformable Registration of Brain Tumor Images. IEEE Trans. Biomed. Eng. 55(3): 1233-1236 (2008) - [j6]Evangelia I. Zacharaki
ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images. IEEE Trans. Medical Imaging 27(8): 1003-1017 (2008) - [c5]Kayhan N. Batmanghelich, Xiaoying Wu, Evangelia I. Zacharaki
Multiparametric tissue abnormality characterization using manifold regularization. Computer-Aided Diagnosis 2008: 691516 - [c4]Evangelia I. Zacharaki
Measuring Brain Lesion Progression with a Supervised Tissue Classification System. MICCAI (1) 2008: 620-627 - [c3]Evangelia I. Zacharaki
Parallel optimization of tumor model parameters for fast registration of brain tumor images. Image Processing 2008: 69140K - 2006
- [j5]Ashraf Mohamed
Deformable registration of brain tumor images via a statistical model of tumor-induced deformation. Medical Image Anal. 10(5): 752-763 (2006) - [c2]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: 197-200 - 2005
- [j4]Efthymios Ntasis, Miltos Gletsos, Nicolaos A. Mouravliansky, Evangelia I. Zacharaki
Telematics enabled virtual simulation system for radiation treatment planning. Comput. Biol. Medicine 35(9): 765-781 (2005) - 2004
- [j3]Evangelia I. Zacharaki
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): 193-206 (2004) - 2002
- [j2]Georgios S. Stamatakos, Dimitra D. Dionysiou
In silico radiation oncology: combining novel simulation algorithms with current visualization techniques. Proc. IEEE 90(11): 1764-1777 (2002) - 2001
- [j1]Georgios S. Stamatakos, Evangelia I. Zacharaki
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): 279-289 (2001)
1990 – 1999
- 1999
- [c1]Georgios S. Stamatakos, Evangelia I. Zacharaki, Nicolaos A. Mouravliansky, Konstantinos K. Delibasis
Using Web Technologies and Meta-Computing to Visualise a Simplified Simulation Model of Tumor Growth in Vitro. HPCN Europe 1999: 973-982
Coauthor Index
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