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 | 934 | 2009 |
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 | 641 | 2017 |
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 | 168 | 2008 |
Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 154 | 2022 |
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 | 137 | 2008 |
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 | 126 | 2006 |
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation A Amidi, S Amidi, D Vlachakis, V Megalooikonomou, N Paragios, ... PeerJ 6, e4750, 2018 | 100 | 2018 |
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 | 100 | 2009 |
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 | 100 | 2002 |
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 | 93 | 2017 |
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 | 92 | 2009 |
Measuring brain lesion progression with a supervised tissue classification system EI Zacharaki, S Kanterakis, RN Bryan, C Davatzikos Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008 | 86 | 2008 |
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 | 85 | 2012 |
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 | 81 | 2015 |
Atlasnet: Multi-atlas non-linear deep networks for medical image segmentation M Vakalopoulou, G Chassagnon, N Bus, R Marini, EI Zacharaki, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 79 | 2018 |
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, 821-828, 2011 | 79 | 2011 |
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 | 79 | 2009 |
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 | 64 | 2016 |
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 | 53 | 2004 |
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 | 52 | 2004 |