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Evangelia I. Zacharaki
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2020 – today
- 2024
- [j38]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): 3588-3604 (2024) - [j37]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): 5810-5829 (2024) - 2023
- [j36]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: 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
, 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) - [j34]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): 3151-3162 (2022) - [j33]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: 2230-2245 (2022) - [c45]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: 303-306 - [c44]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: 291-304 - [c43]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: 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
, 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: 1-21 (2021) - [j31]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: 101890 (2021) - [j30]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: 646415 (2021) - [j29]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): 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
, 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: 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
, Evangelia I. Zacharaki
, Dimitar Stanev
, Konstantinos Moustakas:
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
, Aris S. Lalos, Michael K. Birbas, Evangelia I. Zacharaki
, Konstantinos Moustakas:
Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification. Sensors 20(8): 2363 (2020) - [j26]Georgios Giarmatzis
, Evangelia I. Zacharaki
, Konstantinos Moustakas:
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
, Evangelia I. Zacharaki, Konstantinos Moustakas:
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, 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: 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
, 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): 25:1-25:15 (2019) - [j23]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): 880 (2019) - [c37]Dionysis Pettas, Stavros Nousias
, Evangelia I. Zacharaki, Konstantinos Moustakas:
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
, Evangelia I. Zacharaki
, Konstantinos Moustakas
:
Hierarchical Image Inpainting by a Deep Context Encoder Exploiting Structural Similarity and Saliency Criteria. ICVS 2019: 470-479 - [c34]Efstathios Branikas
, Thomas Papastergiou, Evangelia I. Zacharaki, Vasileios Megalooikonomou:
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
, Evangelia I. Zacharaki
, Vasileios Megalooikonomou:
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
, 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: 1-6 - [c30]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: 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
, Vasileios Megalooikonomou:
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
, 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: 249-257 (2017) - [j20]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): 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
, Iosif Mporas, Kyriakos Garganis
, Vasileios Megalooikonomou:
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
, 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: 576-585 (2016) - [j15]Nikos Paragios, Enzo Ferrante
, Ben Glocker
, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki
:
(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
, 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: 2345-2349 - [c24]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: 728-738 - [c23]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: 296-304 - 2015
- [j14]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: 19-30 (2015) - [j13]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): 3227-3233 (2015) - [c22]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: 1-5 - 2014
- [j12]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): 542-554 (2014) - [c21]Evangelia I. Zacharaki
, Kyriakos Garganis
, Iosif Mporas, Vasilis Megalooikonomou:
Spike detection in EEG by LPP and SVM. BHI 2014: 668-671 - [c20]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: 87-90 - [c19]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: 28:1-28:4 - [c18]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: 442-447 - 2013
- [c17]Iosif Mporas, Panagiotis Korvesis, Evangelia I. Zacharaki
, Vasilis Megalooikonomou:
Sleep Spindle Detection in EEG Signals Combining HMMs and SVMs. EANN (2) 2013: 138-145 - [c16]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: 5801-5804 - [c15]Amalia Charisi, Fragkiskos D. Malliaros, Evangelia I. Zacharaki
, Vasileios Megalooikonomou:
Multiresolution similarity search in time series data: an application to EEG signals. PETRA 2013: 33:1-33:8 - 2012
- [j11]Evangelia I. Zacharaki
, Anastasios Bezerianos
:
Abnormality Segmentation in Brain Images Via Distributed Estimation. IEEE Trans. Inf. Technol. Biomed. 16(3): 330-338 (2012) - [c14]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: 1-8 - [c13]Konstantina Dimitrakopoulou
, Georgios N. 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: 5432-5436 - [c12]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: 26-35 - [c11]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: 76-85 - [c10]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: 566-575 - [c9]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: 562-565 - 2011
- [j10]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): 821-828 (2011) - [c8]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: 6979-6981 - 2010
- [c7]Güray Erus, Evangelia I. Zacharaki
, R. Nick Bryan, Christos Davatzikos
:
Learning high-dimensional image statistics for abnormality detection on medical images. CVPR Workshops 2010: 139-145
2000 – 2009
- 2009
- [j9]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): 762-774 (2009) - [j8]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): 779 (2009) - [c6]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: 1035-1038 - 2008
- [j7]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): 1233-1236 (2008) - [j6]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): 1003-1017 (2008) - [c5]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: 691516 - [c4]Evangelia I. Zacharaki
, Stathis Kanterakis, R. Nick Bryan
, Christos Davatzikos
:
Measuring Brain Lesion Progression with a Supervised Tissue Classification System. MICCAI (1) 2008: 620-627 - [c3]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: 69140K - 2006
- [j5]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): 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
, 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): 765-781 (2005) - 2004
- [j3]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): 193-206 (2004) - 2002
- [j2]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): 1764-1777 (2002) - 2001
- [j1]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): 279-289 (2001)
1990 – 1999
- 1999
- [c1]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: 973-982
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 20:18 CEST by the dblp team
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