A citation-based method for searching scientific literature


List of co-cited articles
222 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
59
44

Automated interictal EEG spike detection using artificial neural networks.
A J Gabor, M Seyal. Electroencephalogr Clin Neurophysiol 1992
77
39



Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks.
Nurettin Acir, Ibrahim Oztura, Mehmet Kuntalp, Bariş Baklan, Cüneyt Güzeliş. IEEE Trans Biomed Eng 2005
49
39

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



State-dependent spike detection: concepts and preliminary results.
J Gotman, L Y Wang. Electroencephalogr Clin Neurophysiol 1991
69
28


Automatic detection of seizures and spikes.
J Gotman. J Clin Neurophysiol 1999
102
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
28

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
25

Automatic recognition of epileptic seizures in the EEG.
J Gotman. Electroencephalogr Clin Neurophysiol 1982
287
23

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
27

State dependent spike detection: validation.
J Gotman, L Y Wang. Electroencephalogr Clin Neurophysiol 1992
47
21

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
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
47

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
25




Assessment of a computer program to detect epileptiform spikes.
W E Hostetler, H J Doller, R W Homan. Electroencephalogr Clin Neurophysiol 1992
43
15

Isolation of epileptiform discharges from unaveraged EEG by independent component analysis.
K Kobayashi, C J James, T Nakahori, T Akiyama, J Gotman. Clin Neurophysiol 1999
62
15


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
17


Automatic detection of interictal spikes using data mining models.
Pablo Valenti, Enrique Cazamajou, Marcelo Scarpettini, Ariel Aizemberg, Walter Silva, Silvia Kochen. J Neurosci Methods 2006
16
37

Epileptic transient detection: wavelets and time-frequency approaches.
Lotfi Senhadji, Fabrice Wendling. Neurophysiol Clin 2002
41
15

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
15

Automatic EEG spike detection: what should the computer imitate?
W R Webber, B Litt, R P Lesser, R S Fisher, I Bankman. Electroencephalogr Clin Neurophysiol 1993
62
13

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
13

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

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
33


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
13

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
31

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

Automatic computer analysis of transients in EEG.
R Sankar, J Natour. Comput Biol Med 1992
14
35

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


Automatic recognition of inter-ictal epileptic activity in prolonged EEG recordings.
J Gotman, J R Ives, P Gloor. Electroencephalogr Clin Neurophysiol 1979
85
10

An automated system for epileptogenic focus localization in the electroencephalogram.
B Ramabhadran, J D Frost, J R Glover, P Y Ktonas. J Clin Neurophysiol 1999
16
25

Fast wavelet transformation of EEG.
S J Schiff, A Aldroubi, M Unser, S Sato. Electroencephalogr Clin Neurophysiol 1994
97
10

Automated seizure detection using a self-organizing neural network.
A J Gabor, R R Leach, F U Dowla. Electroencephalogr Clin Neurophysiol 1996
73
10


Feature extraction and clustering of EEG epileptic spikes.
P Wahlberg, G Salomonsson. Comput Biomed Res 1996
7
57


Systematic source estimation of spikes by a combination of independent component analysis and RAP-MUSIC. I: Principles and simulation study.
Katsuhiro Kobayashi, Tomoyuki Akiyama, Tomoyuki Nakahori, Harumi Yoshinaga, Jean Gotman. Clin Neurophysiol 2002
32
12


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.