Evangelia I. Zacharaki
Evangelia I. Zacharaki
VVR Group, Electrical and Computer Engineering, University of Patras, Greece
Verified email at upatras.gr
TitleCited byYear
Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme
EI Zacharaki, S Wang, S Chawla, D Soo Yoo, R Wolf, ER Melhem, ...
Magnetic Resonance in Medicine: An Official Journal of the International …, 2009
4362009
Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images
R Verma, EI Zacharaki, Y Ou, H Cai, S Chawla, SK Lee, ER Melhem, ...
Academic radiology 15 (8), 966-977, 2008
1282008
ORBIT: A multiresolution framework for deformable registration of brain tumor images
EI Zacharaki, D Shen, SK Lee, C Davatzikos
IEEE transactions on medical imaging 27 (8), 1003-1017, 2008
1072008
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
EJ Limkin, R Sun, L Dercle, EI Zacharaki, C Robert, S Reuzé, ...
Annals of Oncology 28 (6), 1191-1206, 2017
1062017
Deformable registration of brain tumor images via a statistical model of tumor-induced deformation
A Mohamed, EI Zacharaki, D Shen, C Davatzikos
Medical image analysis 10 (5), 752-763, 2006
962006
In silico radiation oncology: combining novel simulation algorithms with current visualization techniques
GS Stamatakos, DD Dionysiou, EI Zacharaki, NA Mouravliansky, ...
Proceedings of the IEEE 90 (11), 1764-1777, 2002
922002
Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth
EI Zacharaki, CS Hogea, D Shen, G Biros, C Davatzikos
Neuroimage 46 (3), 762-774, 2009
822009
STEP: Spatiotemporal enhancement pattern for MR‐based breast tumor diagnosis
Y Zheng, S Englander, S Baloch, EI Zacharaki, Y Fan, MD Schnall, ...
Medical physics 36 (7), 3192-3204, 2009
682009
Measuring brain lesion progression with a supervised tissue classification system
EI Zacharaki, S Kanterakis, RN Bryan, C Davatzikos
International Conference on Medical Image Computing and Computer-assisted …, 2008
642008
Survival analysis of patients with high-grade gliomas based on data mining of imaging variables
EI Zacharaki, N Morita, P Bhatt, DM O'rourke, ER Melhem, C Davatzikos
American Journal of Neuroradiology 33 (6), 1065-1071, 2012
592012
Investigating machine learning techniques for MRI-based classification of brain neoplasms
EI Zacharaki, VG Kanas, C Davatzikos
International journal of computer assisted radiology and surgery 6 (6), 821-828, 2011
482011
A digital subtraction radiography scheme based on automatic multiresolution registration
EI Zacharaki, GK Matsopoulos, PA Asvestas, KS Nikita, K Grondahl, ...
Dentomaxillofacial radiology 33 (6), 379-390, 2004
482004
Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients
I Mporas, V Tsirka, EI Zacharaki, M Koutroumanidis, M Richardson, ...
Expert systems with applications 42 (6), 3227-3233, 2015
432015
Simulating growth dynamics and radiation response of avascular tumour spheroids—model validation in the case of an EMT6/Ro multicellular spheroid
EI Zacharaki, GS Stamatakos, KS Nikita, NK Uzunoglu
Computer methods and programs in biomedicine 76 (3), 193-206, 2004
422004
MRI-based classification of brain tumor type and grade using SVM-RFE
EI Zacharaki, S Wang, S Chawla, DS Yoo, R Wolf, ER Melhem, ...
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
402009
A comparative study of biomechanical simulators in deformable registration of brain tumor images
EI Zacharaki, CS Hogea, G Biros, C Davatzikos
IEEE Transactions on Biomedical Engineering 55 (3), 1233-1236, 2008
312008
Modeling tumor growth and irradiation response in vitro-a combination of high-performance computing and Web-based technologies including VRML visualization
GS Starnatakos, EI Zacharaki, M Makropoulou, NA Mouravliansky, ...
IEEE Transactions on Information Technology in Biomedicine 5 (4), 279-289, 2001
292001
Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma
VG Kanas, EI Zacharaki, GA Thomas, PO Zinn, V Megalooikonomou, ...
Computer methods and programs in biomedicine 140, 249-257, 2017
252017
Improving classification of epileptic and non-epileptic EEG events by feature selection
E Pippa, EI Zacharaki, I Mporas, V Tsirka, MP Richardson, ...
Neurocomputing 171, 576-585, 2016
242016
A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker
VG Kanas, EI Zacharaki, C Davatzikos, KN Sgarbas, V Megalooikonomou
Biomedical Signal Processing and Control 22, 19-30, 2015
232015
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