A citation-based method for searching scientific literature

R Sankar, J Natour. Comput Biol Med 1992
Times Cited: 14







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



Times Cited
  Times     Co-cited
Similarity


Spike detection: a review and comparison of algorithms.
Scott B Wilson, Ronald Emerson. Clin Neurophysiol 2002
112
71

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
64



Automated interictal EEG spike detection using artificial neural networks.
A J Gabor, M Seyal. Electroencephalogr Clin Neurophysiol 1992
77
50


Detection of spikes with artificial neural networks using raw EEG.
O Ozdamar, T Kalayci. Comput Biomed Res 1998
23
50

Real-time detection of epileptiform activity in the EEG: a blinded clinical trial.
M A Black, R D Jones, G J Carroll, A A Dingle, I M Donaldson, P J Parkin. Clin Electroencephalogr 2000
18
42

Simultaneous spike detection and topographic classification in pediatric surface EEGs.
M Feucht, K Hoffmann, K Steinberger, H Witte, F Benninger, M Arnold, A Doering. Neuroreport 1997
10
60

Assessment of a computer program to detect epileptiform spikes.
W E Hostetler, H J Doller, R W Homan. Electroencephalogr Clin Neurophysiol 1992
43
42

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
42

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
42

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

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
42


State-dependent spike detection: concepts and preliminary results.
J Gotman, L Y Wang. Electroencephalogr Clin Neurophysiol 1991
69
35

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
35

State dependent spike detection: validation.
J Gotman, L Y Wang. Electroencephalogr Clin Neurophysiol 1992
47
35

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
35

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
35


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
35



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

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
28

Evaluation of a computerized system for recognition of epileptic activity during long-term EEG recording.
T Pietilä, S Vapaakoski, U Nousiainen, A Värri, H Frey, V Häkkinen, Y Neuvo. Electroencephalogr Clin Neurophysiol 1994
20
28

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
28



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
28

Characterization of EEG--a comparative study.
N Kannathal, U Rajendra Acharya, C M Lim, P K Sadasivan. Comput Methods Programs Biomed 2005
56
28

Entropies for detection of epilepsy in EEG.
N Kannathal, Min Lim Choo, U Rajendra Acharya, P K Sadasivan. Comput Methods Programs Biomed 2005
169
28



Methods for robust clustering of epileptic EEG spikes.
P Wahlberg, G Lantz. IEEE Trans Biomed Eng 2000
15
28

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
28

A Kalman filter based methodology for EEG spike enhancement.
V P Oikonomou, A T Tzallas, D I Fotiadis. Comput Methods Programs Biomed 2007
22
28




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
21

Fast wavelet transformation of EEG.
S J Schiff, A Aldroubi, M Unser, S Sato. Electroencephalogr Clin Neurophysiol 1994
97
21

Adaptive EEG spike detection: determination of threshold values based on conditional probability.
Takenao Sugi, Masatoshi Nakamura, Akio Ikeda, Hiroshi Shibasaki. Front Med Biol Eng 2002
8
37

Automatic detection of seizures and spikes.
J Gotman. J Clin Neurophysiol 1999
102
21


A neural-network-based detection of epilepsy.
Vivek Prakash Nigam, Daniel Graupe. Neurol Res 2004
78
21

Classification of EEG signals using neural network and logistic regression.
Abdulhamit Subasi, Ergun Erçelebi. Comput Methods Programs Biomed 2005
94
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
21

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
21


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.