A citation-based method for searching scientific literature

Nurettin Acir, Ibrahim Oztura, Mehmet Kuntalp, Bariş Baklan, Cüneyt Güzeliş. IEEE Trans Biomed Eng 2005
Times Cited: 49







List of co-cited articles
194 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


A multistage system to detect epileptiform activity in the EEG.
A A Dingle, R D Jones, G J Carroll, W R Fright. IEEE Trans Biomed Eng 1993
60
40


Spike detection: a review and comparison of algorithms.
Scott B Wilson, Ronald Emerson. Clin Neurophysiol 2002
112
36


A multistage, multimethod approach for automatic detection and classification of epileptiform EEG.
He Sheng Liu, Tong Zhang, Fu Sheng Yang. IEEE Trans Biomed Eng 2002
33
42

A multi-level wavelet approach for automatic detection of epileptic spikes in the electroencephalogram.
K P Indiradevi, Elizabeth Elias, P S Sathidevi, S Dinesh Nayak, K Radhakrishnan. Comput Biol Med 2008
47
27


Automated interictal EEG spike detection using artificial neural networks.
A J Gabor, M Seyal. Electroencephalogr Clin Neurophysiol 1992
77
22

EEG transient event detection and classification using association rules.
Themis P Exarchos, Alexandros T Tzallas, Dimitrios I Fotiadis, Spiros Konitsiotis, Sotirios Giannopoulos. IEEE Trans Inf Technol Biomed 2006
17
64

Automatic recognition of epileptic seizures in the EEG.
J Gotman. Electroencephalogr Clin Neurophysiol 1982
288
20

A comparison of algorithms for detection of spikes in the electroencephalogram.
Clement C C Pang, Adrian R M Upton, Glenn Shine, Markad V Kamath. IEEE Trans Biomed Eng 2003
35
28


Spike detection II: automatic, perception-based detection and clustering.
S B Wilson, C A Turner, R G Emerson, M L Scheuer. Clin Neurophysiol 1999
62
20

Detection of spikes with artificial neural networks using raw EEG.
O Ozdamar, T Kalayci. Comput Biomed Res 1998
23
39

Epileptic transient detection: wavelets and time-frequency approaches.
Lotfi Senhadji, Fabrice Wendling. Neurophysiol Clin 2002
41
21


A method for classification of transient events in EEG recordings: application to epilepsy diagnosis.
A T Tzallas, P S Karvelis, C D Katsis, D I Fotiadis, S Giannopoulos, S Konitsiotis. Methods Inf Med 2006
15
53


Analysis of EEG records in an epileptic patient using wavelet transform.
Hojjat Adeli, Ziqin Zhou, Nahid Dadmehr. J Neurosci Methods 2003
314
16




Assessment of a computer program to detect epileptiform spikes.
W E Hostetler, H J Doller, R W Homan. Electroencephalogr Clin Neurophysiol 1992
43
16

Expert system approach to detection of epileptiform activity in the EEG.
B L Davey, W R Fright, G J Carroll, R D Jones. Med Biol Eng Comput 1989
35
20


Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state.
R G Andrzejak, K Lehnertz, F Mormann, C Rieke, P David, C E Elger. Phys Rev E Stat Nonlin Soft Matter Phys 2001
387
14


Wavelet analysis of EEG for three-dimensional mapping of epileptic events.
L Senhadji, J L Dillenseger, F Wendling, C Rocha, A Kinie. Ann Biomed Eng 1995
28
21

Interictal spike detection using the Walsh transform.
Malek Adjouadi, Danmary Sanchez, Mercedes Cabrerizo, Melvin Ayala, Prasanna Jayakar, Ilker Yaylali, Armando Barreto. IEEE Trans Biomed Eng 2004
37
16

Wavelet analysis of epileptic spikes.
Miroslaw Latka, Ziemowit Was, Andrzej Kozik, Bruce J West. Phys Rev E Stat Nonlin Soft Matter Phys 2003
34
17


State-dependent spike detection: concepts and preliminary results.
J Gotman, L Y Wang. Electroencephalogr Clin Neurophysiol 1991
69
12

SADE3: an effective system for automated detection of epileptiform events in long-term EEG based on context information.
Fernanda I M Argoud, Fernando M De Azevedo, José Marino Neto, Eugênio Grillo. Med Biol Eng Comput 2006
16
37

Automatic computer analysis of transients in EEG.
R Sankar, J Natour. Comput Biol Med 1992
14
42


Methods for robust clustering of epileptic EEG spikes.
P Wahlberg, G Lantz. IEEE Trans Biomed Eng 2000
15
33

Detection of interictal spikes and artifactual data through orthogonal transformations.
Malek Adjouadi, Mercedes Cabrerizo, Melvin Ayala, Danmary Sanchez, Ilker Yaylali, Prasanna Jayakar, Armando Barreto. J Clin Neurophysiol 2005
32
15

An artificial intelligence approach to classify and analyse EEG traces.
C Castellaro, G Favaro, A Castellaro, A Casagrande, S Castellaro, D V Puthenparampil, C Fattorello Salimbeni. Neurophysiol Clin 2002
14
35


Spike detection based on a pattern recognition approach using a microcomputer.
P Guedes de Oliveira, C Queiroz, F Lopes da Silva. Electroencephalogr Clin Neurophysiol 1983
34
14


Spike detection. I. Correlation and reliability of human experts.
S B Wilson, R N Harner, F H Duffy, B R Tharp, M R Nuwer, M R Sperling. Electroencephalogr Clin Neurophysiol 1996
57
10

Automatic detection of seizures and spikes.
J Gotman. J Clin Neurophysiol 1999
102
10

Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection.
Samanwoy Ghosh-Dastidar, Hojjat Adeli, Nahid Dadmehr. IEEE Trans Biomed Eng 2007
158
10

EEG spike detection with a Kohonen feature map.
C Kurth, F Gilliam, B J Steinhoff. Ann Biomed Eng 2000
16
31

A new mathematical approach based on orthogonal operators for the detection of interictal spikes in epileptogenic data.
Malek Adjouadi, Mercedes Cabrerizo, Melvin Ayala, Danmary Sanchez, Ilker Yaylali, Prasanna Jayakar, Armando Barreto. Biomed Sci Instrum 2004
8
62

A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy.
Hojjat Adeli, Samanwoy Ghosh-Dastidar, Nahid Dadmehr. IEEE Trans Biomed Eng 2007
200
10

A Kalman filter based methodology for EEG spike enhancement.
V P Oikonomou, A T Tzallas, D I Fotiadis. Comput Methods Programs Biomed 2007
22
22

A spike detection method in EEG based on improved morphological filter.
Guanghua Xu, Jing Wang, Qing Zhang, Sicong Zhang, Junming Zhu. Comput Biol Med 2007
11
45

Model-based spike detection of epileptic EEG data.
Yung-Chun Liu, Chou-Ching K Lin, Jing-Jane Tsai, Yung-Nien Sun. Sensors (Basel) 2013
21
23


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.