A citation-based method for searching scientific literature

Z Hilal Inan, Mehmet Kuntalp. Comput Biol Med 2007
Times Cited: 21







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



Times Cited
  Times     Co-cited
Similarity


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
52

Spike detection: a review and comparison of algorithms.
Scott B Wilson, Ronald Emerson. Clin Neurophysiol 2002
112
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
38

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
38


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
33


Automated interictal EEG spike detection using artificial neural networks.
A J Gabor, M Seyal. Electroencephalogr Clin Neurophysiol 1992
77
33


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

Detection of spikes with artificial neural networks using raw EEG.
O Ozdamar, T Kalayci. Comput Biomed Res 1998
23
28

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
28

Automatic computer analysis of transients in EEG.
R Sankar, J Natour. Comput Biol Med 1992
14
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
28

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
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
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
23


State-dependent spike detection: concepts and preliminary results.
J Gotman, L Y Wang. Electroencephalogr Clin Neurophysiol 1991
69
23


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
23

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



Detection of focal epileptiform events in the EEG by spatio-temporal dipole clustering.
Peter Van Hese, Bart Vanrumste, Hans Hallez, Grant J Carroll, Kristl Vonck, Richard D Jones, Philip J Bones, Yves D'Asseler, Ignace Lemahieu. Clin Neurophysiol 2008
13
38

Analysis of EEG records in an epileptic patient using wavelet transform.
Hojjat Adeli, Ziqin Zhou, Nahid Dadmehr. J Neurosci Methods 2003
313
23

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 algorithm automatically adapted to individual patients applied to spike-and-wave percentage quantification.
A Nonclercq, M Foulon, D Verheulpen, C De Cock, M Buzatu, P Mathys, P Van Bogaert. Neurophysiol Clin 2009
19
26

An automatic spike detection system based on elimination of false positives using the large-area context in the scalp EEG.
Zhanfeng Ji, Takenao Sugi, Satoru Goto, Xingyu Wang, Akio Ikeda, Takashi Nagamine, Hiroshi Shibasaki, Masatoshi Nakamura. IEEE Trans Biomed Eng 2011
16
31

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
19

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
19

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
50


Epileptic seizure detection in EEGs using time-frequency analysis.
Alexandros T Tzallas, Markos G Tsipouras, Dimitrios I Fotiadis. IEEE Trans Inf Technol Biomed 2009
115
19

Wavelet analysis of epileptic spikes.
Miroslaw Latka, Ziemowit Was, Andrzej Kozik, Bruce J West. Phys Rev E Stat Nonlin Soft Matter Phys 2003
34
14

State dependent spike detection: validation.
J Gotman, L Y Wang. Electroencephalogr Clin Neurophysiol 1992
47
14

Epileptic transient detection: wavelets and time-frequency approaches.
Lotfi Senhadji, Fabrice Wendling. Neurophysiol Clin 2002
41
14

Computer-aided quantification of EEG spike and sharp wave characteristics.
P Y Ktonas, W M Luoh, M L Kejariwal, E L Reilly, M A Seward. Electroencephalogr Clin Neurophysiol 1981
23
14


Performance metrics for the accurate characterisation of interictal spike detection algorithms.
Alexander J Casson, Elena Luna, Esther Rodriguez-Villegas. J Neurosci Methods 2009
20
15

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
14

Automated analysis of abnormal electroencephalograms.
P Y Ktonas. Crit Rev Biomed Eng 1983
14
21


Classification of EEG signals using neural network and logistic regression.
Abdulhamit Subasi, Ergun Erçelebi. Comput Methods Programs Biomed 2005
94
14

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
30

Assessment of a computer program to detect epileptiform spikes.
W E Hostetler, H J Doller, R W Homan. Electroencephalogr Clin Neurophysiol 1992
43
14

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
37

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
20


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.