Lee, J.S.[Jae Sung],
Lee, D.S.[Dong Soo],
Kim, S.K.[Seok-Ki],
Lee, S.K.[Sang-Kun],
Chung, J.K.[June-Key],
Lee, M.C.[Myung Chul],
Park, K.S.[Kwang Suk],
Localization of epileptogenic zones in F-18 FDG brain PET of patients
with temporal lobe epilepsy using artificial neural network,
MedImg(19), No. 4, April 2000, pp. 347-355.
IEEE Top Reference.
0110
BibRef
Baete, K.,
Nuyts, J.,
van Paesschen, W.,
Suetens, P.,
Dupont, P.,
Anatomical-based FDG-PET reconstruction for the detection of
hypo-metabolic regions in epilepsy,
MedImg(23), No. 4, April 2004, pp. 510-519.
IEEE Abstract.
0406
BibRef
Unsworth, C.P.,
Spowart, J.J.,
Lawson, G.,
Brown, J.K.,
Mulgrew, B.,
Minns, R.A.,
Clark, M.,
New hypothesis test: a repropagation method to test the applicability
of linear ICA to a given problem (highlighted by an EEG case study
applied to epilepsy),
VISP(152), No. 5, October 2005, pp. 545-552.
DOI Link
0512
BibRef
DeLorenzo, C.[Christine],
Papademetris, X.[Xenophon],
Staib, L.H.[Lawrence H.],
Vives, K.P.[Kenneth P.],
Spencer, D.D.[Dennis D.],
Duncan, J.S.[James S.],
Image-Guided Intraoperative Cortical Deformation Recovery Using Game
Theory: Application to Neocortical Epilepsy Surgery,
MedImg(29), No. 2, February 2010, pp. 322-338.
IEEE DOI
1002
BibRef
Earlier:
Nonrigid Intraoperative Cortical Surface Tracking Using Game Theory,
MMBIA07(1-8).
IEEE DOI
0710
See also Local Shape Registration Using Boundary-Constrained Match of Skeletons. See also Estimation of 3-d left ventricular deformation from medical images using biomechanical models.
BibRef
Vazquez, D.M.,
Rubio, J.J.,
Pacheco, J.,
Characterisation framework for epileptic signals,
IET-IPR(6), No. 9, 2012, pp. 1227-1235.
DOI Link
1302
BibRef
Wang, J.[Jing],
Gao, X.Z.,
Guo, P.[Ping],
Feature extraction based on sparse representation with
application to epileptic EEG classification,
IJIST(23), No. 2, 2013, pp. 104-113.
DOI Link
1307
electroencephalogram signals, epilepsy seizures, seizure detection,
Bayesian decision rule
BibRef
Kumar, Y.[Yatindra],
Dewal, M.L.,
Anand, R.S.,
Epileptic seizures detection in EEG using DWT-based ApEn and artificial
neural network,
SIViP(8), No. 7, October 2014, pp. 1323-1334.
WWW Link.
1410
BibRef
Wang, Y.M.[Yue-Ming],
Qi, Y.[Yu],
Zhu, J.M.[Jun-Ming],
Zhang, J.M.[Jian-Min],
Wang, Y.W.[Yi-Wen],
Zheng, X.X.[Xiao-Xiang],
Wu, Z.H.[Zhao-Hui],
A Cauchy-Based State-Space Model for Seizure Detection in EEG
Monitoring Systems,
IEEE_Int_Sys(30), No. 1, January 2015, pp. 6-12.
IEEE DOI
1502
Biomedical monitoring
BibRef
Das, A.B.[Anindya Bijoy],
Bhuiyan, M.I.H.[Mohammed Imamul Hassan],
Alam, S.M.S.[S. M. Shafiul],
Classification of EEG signals using normal inverse Gaussian parameters
in the dual-tree complex wavelet transform domain for seizure detection,
SIViP(10), No. 1, February 2016, pp. 259-266.
Springer DOI
1601
BibRef
Erem, B.,
Hyde, D.E.,
Peters, J.M.,
Duffy, F.H.,
Warfield, S.K.,
Dynamic Electrical Source Imaging (DESI) of Seizures and Interictal
Epileptic Discharges Without Ensemble Averaging,
MedImg(36), No. 1, January 2017, pp. 98-110.
IEEE DOI
1701
Brain modeling
BibRef
Deivasigamani, S.,
Senthilpari, C.,
Yong, W.H.[Wong Hin],
Classification of focal and nonfocal EEG signals using ANFIS
classifier for epilepsy detection,
IJIST(26), No. 4, 2016, pp. 277-283.
DOI Link
1701
focal signals, epilepsy, epileptogenic area, wavelet, brain
BibRef
Sharma, M.[Manish],
Pachori, R.B.[Ram Bilas],
Acharya, U.R.[U. Rajendra],
A new approach to characterize epileptic seizures using analytic
time-frequency flexible wavelet transform and fractal dimension,
PRL(94), No. 1, 2017, pp. 172-179.
Elsevier DOI
1708
Electroencephalography
BibRef
Sathyanarayana, S.[Supriya],
Satzoda, R.K.[Ravi Kumar],
Sathyanarayana, S.[Suchitra],
Thambipillai, S.[Srikanthan],
Identifying epileptic seizures based on a template-based eyeball
detection technique,
ICIP15(4689-4693)
IEEE DOI
1512
epileptic seizure; eyeball detection; vision-based monitoring
BibRef
Boubchir, L.[Larbi],
Al-Maadeed, S.[Somaya],
Bouridane, A.[Ahmed],
Cherif, A.A.[Arab Ali],
Classification of EEG signals for detection of epileptic seizure
activities based on LBP descriptor of time-frequency images,
ICIP15(3758-3762)
IEEE DOI
1512
EEG
BibRef
Mahmoudi, F.[Fariborz],
Nazem-Zadeh, M.R.[Mohammad-Reza],
Bagher-Ebadian, H.[Hassan],
Schwalb, J.M.[Jason M.],
Soltanian-Zadeh, H.[Hamid],
Roles of Various Brain Structures on Non-Invasive Lateralization of
Temporal Lobe Epilepsy,
ISVC14(II: 32-40).
Springer DOI
1501
BibRef
da Silva, N.M.[Nádia Moreira],
Rego, R.[Ricardo],
Silva Cunha, J.P.[João Paulo],
3D Multimodal Visualization of Subdural Electrodes with Cerebellum
Removal to Guide Epilepsy Resective Surgery Procedures,
ICIAR14(II: 167-174).
Springer DOI
1410
BibRef
Ahmad, M.A.[Malik Anas],
Khan, N.A.[Nadeem Ahmad],
Majeed, W.[Waqas],
Computer Assisted Analysis System of Electroencephalogram for
Diagnosing Epilepsy,
ICPR14(3386-3391)
IEEE DOI
1412
Accuracy
BibRef
Shaker, M.[Matineh],
Soltanian-Zadeh, H.[Hamid],
Voxel-Based Morphometric Study of Brain Regions from Magnetic Resonance
Images in Temporal Lobe Epilepsy,
Southwest08(209-212).
IEEE DOI
0803
BibRef
Shen, T.W.[Tsu-Wang],
Kuo, X.[Xavier],
Yu, C.S.[Chung-Shan],
Intelligence computing approach for seizure detection based on
intracranial electroencephalogram (IEEG),
ICPR08(1-4).
IEEE DOI
0812
BibRef
Sahin, C.[Cenk],
Ogulata, S.N.[Seyfettin Noyan],
Aslan, K.[Kezban],
Bozdemir, H.[Hacer],
The Application of Neural Networks in Classification of Epilepsy Using
EEG Signals,
BVAI07(499-508).
Springer DOI
0710
BibRef
Jing, M.[Min],
Sanei, S.[Saeid],
Scanner Artifact Removal in Simultaneous EEG-fMRI for Epileptic Seizure
Prediction,
ICPR06(III: 722-725).
IEEE DOI
0609
BibRef
Fernandes, J.M.[José Maria],
Leal, A.[Alberto],
Silva Cunha, J.P.[João Paulo],
EpiGauss: Spatio-temporal Characterization of Epiletogenic Activity
Applied to Hypothalamic Hamartomas,
ICIAR06(II: 680-690).
Springer DOI
0610
BibRef
Duchesne, S.,
Bernasconi, N.,
Bernasconi, A.,
Collins, D.L.,
On the classification of temporal lobe epilepsy using MR image
appearance,
ICPR02(I: 520-523).
IEEE DOI
0211
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Heart, Cardiac Applications .