دوشنبه، 31 اردیبهشت 1397 تماس با ما نقشه سایت صفحه اصلی
 
 
 
 
     

دکتر عطااله عباسی
مرتبه علمی :دانشیار
تخصص : پردازش تصویر و سیگنال - انفورماتیک پزشکی
زمینه های تحقیقاتی : پردازش تصویر و سیگنال در زمینه بیماریهای عصبی و شناختی - انفورماتیک پزشکی
مراکز تحقیقاتی :آزمایشگاه تحقیقات علوم اعصاب محاسباتی

پست الکترونیکی: ata.abbasi@gmail.com
شماره تلفن:
شماره فکس:
رزومه:
Ataollah Abbasi
Associate professor
 
Computational Neuroscience Laboratory, Department of Biomedical Engineering, Faculty of Biomedical Engineering, Sahand University of Technology, Sahand New Town, Tabriz, Iran.
E-mail: ata.abbasi [At] sut.ac.ir OR ata.abbasi [At] gmail.com
 
Educational Background:
Researcher in Biomedical Engineering, Chalmers University of Technology, Gothenburg, Sweden. [2016-2017]
Ph.D. in Biomedical Engineering, Sharif University of Technology, Tehran, Iran. [2005-2010]
M.Sc. in Biomedical Engineering, Sharif University of Technology, Tehran, Iran [2003-2005]
B.Sc. in Biomedical Engineering, Sahand University of Technology, Tabriz, Iran. [1999-2003]
 
Fields of Interest:
Medical image analysis and signal processing for neurological disorders
Health informatics
 
 
Ph.D Students:
1- Samira Abbasi (Graduated)
2- Atekeh Ghoshvarpour (Graduated)
3- Atefeh Ghoshvarpour (Graduated)
4- Peyvand Ghaderyan (Graduated)
 
M.Sc. Students:
1- Abbas Biniaz (Graduated)
2- Zahra Ahmadi (Graduated)
3- Amir Golzarfar (Graduated)
4- Asma Shirazi (Graduated)
5- Anahita Bakhtiyari (Graduated)
6- Peyvand Ghaderyan (Graduated)
7-Mehdi Hosseinzadeh (Graduated)
8- Mohammad Rousta (Graduated)
9- Behzad Kalafjeye Nobaryan (Graduated)
10- Sahar Zakeri (Graduated)
11- Soheila Hajizadeh (Graduated)
12- Hosseinreza Jahanshahlou (Graduated)
13- Moeen Shoa Kazemi (Graduated)
14- Sajjad Saber (Graduated)
15- Golshan Ansari (Graduated)
16- Mohammad Gandomi (Graduated)
17- Maryam Feizollahi (Graduated)
18- Golriz Azizi (Graduated)
19- Abbas Azadpour (Graduated)
 
Honors:
1- 1th rank of Ph.D. entrance exam in biomedical engineering in Sharif University of Technology in 2005.
2- The best idea for Ph.D. thesis in Iranian presidential Idea Bank competition in 2008.
3- The 4th place medal in Robocup Iran-Open 2012, Senior Demo league, Team Name: Brain Force, Team members: A. Abbasi, H. Abdollah-zadeh, F. Gharemanian, 2012.
4- Bronze Medal for innovation and invention of “Full automatic machine suitable for gluing the whole in stone” from Malaysian Association of Research Scientists (MARS), Team members: A. Abbasi, H. Abdollah-zadeh, F. Gharemanian, 2012.
5- Inventor of “Data Logger controlling system” registration No. 79545, by: S. Kazemi, A. Abbasi, A. Jafarnezhad, 2013.
6- Inventor of “Full automatic gluing system for wasted stones” registration No. 81737, by: A. Abbasi, H. Abdollah-zadeh, M. Khosravani, A. Tabatabayee Hosseini, 2013.
7- Inventor of “Positioning by 3D image processing” registration No. 82957, by: M. Alephbayee, A. Abbasi, H. Abdollah-zadeh, M. Khosravani, 2013.
 
Journal Papers:
 
[56] B. Nobariyan, N. Amini, S. Daneshvar, A. Abbasi, “A novel architectureof medical image fusion based on YCbCr - DWT transform,” The International Arab Journal of Information Technology (IAJIT), (In Press).
[55] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Sleep loss effects on affective responses of women and men using ECG characteristics,” Biomedical Engineering: Applications, Basis and Communications (BME), (In Press)
[54] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Impact of affective picture and music stimuli on autonomic responses: characterization of pauses between emotion blocks,” International Journal of Medical Engineering and Informatics, (In Press).
[53] P. Ghaderyan, A. Abbasi, “A novel cepstral-based technique for automatic cognitive load estimation,” Biomedical Signal Processing and Control, Vol. 39, pp. 396-404, Jan. 2018.
[52] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, “Discrimination between different emotional states based on the chaotic behavior of galvanic skin responses,” Signal, Image and Video Processing, Vol. 11, Iss. 7, pp. 1347-1355 Oct. 2017.
[51] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Effects of sleep on emotion perception by evaluating changes in ECG and GSR signals of college students,” The Neuroscience Journal of Shefaye Khatam, Vol. 5, No. 4, pp. 14-28, Sep. 2017. (In Persian)
[50] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Do men and women have different ECG responses to sad pictures?,” Biomedical Signal Processing and Control Engineering, Vol. 38, pp. 67-73, Sep. 2017.
[49] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, “Fusion of heart rate variability and pulse rate variability for emotion recognition using lagged poincare plots,” Australasian Physical & Engineering Sciences in Medicine, Vol. 40, Iss. 3, pp. 617-629, Jul. 2017.
[48] B. Abedi, A. Abbasi, Af. Goshvarpour, H. Tayebi Khosroshai, E. Javanshir, “The effect of traditional Persian music on the cardiac functioning of young Iranian women,” Indian Heart Journal, Vol. 69, Iss. 4, pp. 491-498, Jul. 2017.
[47] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “An Emotion Recognition Approach based on Wavelet Transform and Second-Order Difference Plot of ECG,” Journal of AI and Data Mining, Vol. 5, Iss. 2, pp. 211-221, Jul. 2017.
[46] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Influence of age and gender on emotional skin response,” International Journal of Psychology (IPA), Vol. 11, No. 2, pp. 126-151 Jun. 2017.
[45] S. Abbasi, A.E. Hudson, S.K. Maran, Y. Cao, A. Abbasi, D.H. Heck, D. Jaeger, “Robust transmission of rate coding in the inhibitory Purkinje cell to cerebellar nuclei pathway in awake mice,” PLOS Computational Biology, Vol. 13, No. 6, pp. 1-25, Jun. 2017.
[44] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Indices from Lagged Poincare Plots of Heart Rate Variability: an Efficient Nonlinear Tool for Emotion Discrimination,” Australasian physical and engineering sciences in medicine, Vol. 40, Iss. 2, pp. 277-287, Jun. 2017.
[43] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Assess the differences between response to emotional visual stimulation in women and men by using the Wilcoxon test,” Journal of Electrical Engineering of Tabriz University, Vol. 47, No. 2, pp. 687-695, Jun. 2017. (In Persian)
[42] B. Abedi, A. Abbasi, Af. Atefeh Goshvarpour, “Investigating the effect of traditional Persian music on ECG signals in young women using wavelet transform and neural networks,” Anatolian Journal of Cardiology, Vol. 17, Iss. 5, pp. 398-403, May. 2017.
[41] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “A simple emotion discrimination technique based on triangle phase space mapping of HRV signals,” International Journal of Engineering and Manufacturing (IJEM), Vol. 7, No. 3, pp. 41-48, May. 2017.
[40] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Affective autonomic differences between monolinguals and bilinguals: elicited by pictorial stimuli,” Biomedical Engineering: Applications, Basis and Communications (BME), Vol. 29, No. 2, pp. 41-48, Apr. 2017.
[39] P. Ghaderyan, A. Abbasi, “Dynamic Hilbert warping, a new measure of RR-interval signals evaluated in the cognitive load estimation,” Medical Engineering & Physics, Vol. 40, pp. 103-109, Feb. 2017.
[38] S. Zakeri, A. Abbasi, Ak. Goshvarpour, “The Effect of Creative Tasks on Electrocardiogram: Using Linear and Nonlinear Features in Combination with Classification Approaches,” Iranian Journal of Psychiatry, Vol. 12, No. 1, pp. 49-57, Jan. 2017.
[37] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, “Multi-Aspects of Emotional Electrocardiogram Classification in Combination with Musical Stimuli and Composite Features,” International Journal of Applied Pattern Recognition, Vol. 4, No. 1, pp. 64-88, Jan. 2017.
[36] S. Abbasi, A. Abbasi, Y. Sarbaz, M. Janahmadi, “Power Spectral Density Analysis of Purkinje Cell Tonic and Burst Firing Patterns From a Rat Model of Ataxia and Riluzole Treated,” Basic and Clinical Neuroscience, Vol. 8, No. 1, pp. 61-68, Jan. 2017.
[35] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, S. Daneshvar “A novel signal-based fusion approach for accurate music emotion recognition,” Biomedical Engineering: Applications, Basis and Communications (BME), Vol. 28, No. 6, pp. 1-10, Dec. 2016.
[34] P. Ghaderyan, A. Abbasi, “An efficient automatic workload estimation method based on electrodermal activity using pattern classifier combinations,” International Journal of Psychophysiology, Vol. 110, pp. 91-101 Dec. 2016.
[33] S. Abbasi, A. Abbasi, Y. Sarbaz, “Number of spikes: a proper metric for parallel fiber patterns recognition by a Purkinje cell,” Biomedical Engineering: Applications, Basis and Communications (BME), Vol. 28, No. 5, pp. 1-7, Oct. 2016.
[32] G. Ansari, A. Abbasi, Ak. Goshvarpour, “Entropy determine of heart rate signal during creative thinking,” Quarterly Journal of Innovation and Creativity in Human Sciences, Vol. 6, No. 2, pp. 53-76, Sep. 2016. (In Persian)
[31] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, S. Daneshvar, “Fusion Framework for Emotional Electrocardiogram and Galvanic Skin Response Recognition: Applying Wavelet Transform,” Iranian Journal of Medical Physics, Vol. 13, Iss. 3, pp. 163-173, Sep. 2016.
[30] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, “The role of gender differences in response to emotional music: a comprehensive analysis of autonomic signal characteristics,” Arak Medical University Journal, Vol. 9, No. 7, pp. 75-90, Sep. 2016. (In Persian)
[29] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, “Gender differences in response to affective audio and visual inductions: examination of nonlinear dynamics of autonomic signals,” Biomedical Engineering: Applications, Basis and Communications (BME), Vol. 28, Iss. 4, pp. 1650024-1-15, Aug. 2016.
[28] S. Zakeri, A. Abbasi, Ak. Goshvarpour, “Comparison of electrocardiogram signals in men and women during creativity with classification approaches,” Applied Medical Informatics, Vol. 38, No. 2, pp. 53-65, Jul. 2016.
[27] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Combination of Sloreta and nonlinear coupling for emotional EEG source localization,” Nonlinear Dynamics, Psychology, and Life Sciences, Vol. 20, Iss. 3, pp. 353-368, Jul. 2016.
[26] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Combination of empirical mode decomposition components of HRV signals for discriminating emotional states,” Iranian Journal of Medical Physics, Vol. 13, Iss. 2, pp. 86-99, Jun. 2016.
[25] B. Abedi, A. Abbasi, Y. Sarbaz, Af. Goshvarpour, “Early detection of Amyotrophic Lateral Sclerosis (ALS) using the gait motor signal frequency analysis,” Arak Medical University Journal, Vol. 20, No. 3, pp. 54-61, Jun. 2016. (In Persian)
[24] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, “Dynamical Analysis of Emotional States from Electroencephalogram Signals,” Biomedical Engineering: Applications, Basis and Communications (BME) Vol. 28, No. 2, pp. 1650015(1)-1650015(12), Apr. 2016.
[23] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Recurrence quantification analysis and neural networks for emotional EEG classification,” Applied Medical Informatics, Vol. 38, No. 1, pp. 13-24, Jan. 2016.
[22] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, “Evaluating Autonomic Parameters: The Role of Sleep Duration in Emotional Responses to Music,” Iranian Journal of Psychiatry, Vol. 11, No. 1, pp. 59-63, Jan. 2016.
[21] S. Abbasi, A. Abbasi, Y. Sarbaz, P. Shahabi, “Contribution of Somatic and Dendritic SK Channels in the Firing Rate of Deep Cerebellar Nuclei: Implication in Cerebellar Ataxia,” Basic and Clinical Neuroscience, Vol. 7, No. 1, pp. 57-62, Jan. 2016.
[20] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Affective visual stimuli: characterization of the picture sequences impacts by means of nonlinear approaches,” Basic and Clinical Neuroscience, Vol. 6, No. 4, pp. 209-221, Oct. 2015.
[19] S. Hajizadeh, A. Abbasi, Af. Goshvarpour, “Empirical Mode Decomposition-based analysis of HR signal affected by Iranian music,” Applied Medical Informatics, Vol. 37, No. 3, pp. 11-20, Jul. 2015.
[18] S. Zakeri, A. Abbasi, Ak. Goshvarpour, “Evaluation of Electrocardiogram Signals of Female and Male in Creativity Based on Classification Approaches,” Journal of Current Research in Science, Vol. 3, No. 1, pp. 52-56, May. 2015.
[17] S. Hajizadeh, A. Abbasi, Af. Goshvarpour, “Performance analysis of IIR ECG signal denoising filters during Iranian music,” Majlesi Journal of Multimedia Processing, Vol. 3, No. 4, pp. 1-6, Dec. 2014.
[16] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, “Impact of music on College Students: Analysis of Galvanic Skin Responses,” Applied Medical Informatics, Vol. 35, No. 4, pp. 11-20, Oct. 2014.
[15] S. Abbasi, A. Abbasi, Y. Sarbaz, A. Ebrahimi, “Analysis spectrum of normal and ataxia Purkinje cell output and classification using artificial neural network,” Journal of Neuropsychiatry and Clinical Neurosciences, Vol. 26, No. 4, pp. E14, Oct. 2014.
[14] P. Ghaderyan, A. Abbasi, M.H. Sedaaghi, “An efficient seizure prediction method using KNN-based undersampling and linear frequency measures,” Journal of neuroscience methods, Vol. 32, No. 1, pp. 134-142, Jul. 2014.
[13] A. Biniaz, A. Abbasi, “Unsupervised ACO: Applying FCM as a supervisor for ACO in medical image segmentation,” Journal of Intelligent and Fuzzy Systems, Vol. 27, No. 1, pp. 407-417, Jul. 2014.
[12] S. Abbasi, A. Abbasi, Y. Sarbaz, “Introducing treatment strategy for cerebellar ataxia in mutant med mice: Combination of acetazolamide and 4-aminopyridine,” Computer Methods and Programs in Biomedicine, Vol. 113, Issue 2, pp. 697-704, Feb. 2014.
[11] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, N. Karamloo, F. Ghorbani “Effects of music on cardiac functioning in young women and men,” Applied Medical Informatics, Vol. 33, No. 4, pp. 40-49, Dec. 2013.
[10] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Analysis of electroencephalogram signals in different sleep stages using Detrended Fluctuation Analysis,” International Journal of Image, Graphics and Signal Processing, Vol. 5, No. 12, pp. 49-55, Oct. 2013.
[9] S. Abbasi, A. Abbasi, Y. Sarbaz, “Combination of BK channels opener and Kv4 channels inhibitor for treatment of cerebellar ataxia in mutant med mice,” Journal of Neuropsychiatry and Clinical Neurosciences, Vol. 25, No. 4, pp. E41, Oct. 2013.
[8] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, “Nonlinear evaluation of electroencephalogram signals in different sleep stages in apnea episodes,” International Journal of Intelligent Systems and Applications, Vol. 5, No. 10, pp. 68-73, Sep. 2013.
[7] A. Biniaz, A. Abbasi, M. Shamsi, “Magnetic Resonance image segmentation by modified spatial FCM based on Gaussian function,” Iranian Journal of Biomedical Engineering, Vol. 7, No. 2, pp. 175-186, Jul. 2013 (In Persian).
[6] A. Biniaz, A. Abbasi, “Segmentation and edge detection based on modified ant colony optimization for iris image processing,” Journal of Artificial Intelligence and Soft Computing Research, Vol. 3, No. 2, pp. 133-141, Apr. 2013.
[5] A. Biniaz, A. Abbasi, “Fast FCM with spatial neighborhood information for brain MR image segmentation,” Journal of Artificial Intelligence and Soft Computing Research, Vol. 3, No. 1, pp. 15-25, Jan. 2013.
[4] A. Biniaz, M. Shamsi, A. Abbasi, “A novel fast fuzzy C-means clustering technique for segmentation of human brain magnetic resonance images,” Turkish Journal of Fuzzy Systems, Vol. 4, No. 1, pp. 34-47, Jan. 2013.
[3] A. Abbasi, B. Vosoughi Vahdat, “A non-iterative linear inverse solution for the block approach in EIT,” Journal of Computational Science, Vol. 1, Issue 4, pp. 190-196, Dec. 2010.
[2] A. Abbasi, B. Vosoughi Vahdat, “Improving forward solution for 2D block electrical impedance tomography using modified equations,” Scientific Research and Essays, Vol. 5, Issue 11, pp. 1260-1263, Jun. 2010.
[1] A. Abbasi, B. Vosoughi Vahdat, G. Ebarhimi Fakhim, “An inverse solution for 2D electrical impedance tomography based on electrical properties of material blocks,” Journal of Applied Sciences, Vol. 9, Issue 10, pp. 1962-1967, May. 2009.
 
Conference Papers:
 
[37] G. Ansari, A. Abbasi, Ak. Goshvarpour, “Dynamical analysis of human ECG for assessment of Creative thinking, Entropy based method,” 8th Iranian Conference on Electrical and Electronics Engineering (ICEEE2016), 16 Agu. 2016.
[36] S. Zakeri, A. Abbasi, Ak. Goshvarpour, “Electrocardiogram processing during Torrance thinking creativity test using entropy,” 4th International Conference on Engineering and Humanities, 20 Jul. 2016.
[35] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Pulse signal classification based on empirical model analysis emphasizing gender and emotional dimensions,” 2nd International Conference and 3rd National Conference on New Technologies Application in Engineering, Mashhad, Iran, 25 Feb. 2016.
[34] Ak. Goshvarpour, A. Abbasi, Af. Goshvarpour, “Pulse signal classification based on fashion empirical analysis with emphasis on gender and emotional aspects,” 2nd International Conference and 3rd National Conference on New Technologies Application in Engineering, Mashhad, Iran, 25 Feb. 2016.
[33] Af. Goshvarpour, A. Abbasi, Ak. Goshvarpour, “Recognition of emotions based on the dimensions of excitation and value using the classification of psychophysiological signals when listening to music,” 2nd International Conference on Psychology, Educational Sciences and LifeStyle, Torbate Heidarieh, Iran, 25 Jan. 2016.
[32] S. Zakeri, A. Abbasi, Ak. Goshvarpour, “The Effect of Creativity test on the Galvanic Skin Response Signal and Detection with Support Vector Machine,” International Conference on Research in Engineering, Science and Technology, Istanbul, Turkey, 21 Jul. 2015.
[31] S. Hajizadeh, A. Abbasi, Af. Goshvarpour, “Intelligent classification of ECG signals to distinguish between pre and on-music states,” 7th Conference on Information and Knowledge Technology (IKT), Urmia, Iran, 26-28 May 2015.
[30] M. Shoa Kazemi, A. Abbasi, P. Ghaderyan, “Analysis of abdominal respiratory effort signal for intelligent and clinical detection of sleep apnea and hypopnea Diseases,” 23th Iranian Conference on Electrical Engineering, Tehran, Iran, 10- 14 May, 2015 (In Persian).
[29] S. Hajizadeh, A. Abbasi, Af. Goshvarpour, “Classification of heart signals: A nonlinear approach based on music effects,” International conference of universitat de autonoma barcelona, Barcelona, Spain, 14-15 Apr. 2015.
[28] M. Shoa Kazemi, A. Abbasi, P. Ghaderyan “Functional and accurate diagnosis of sleep apnea and hypopnea diseases by abdominal respiratory effort signal,” 2nd international conference on Pattern Recognition and Image Analysis (IPRIA2015), Rasht, Iran, 11-12 Mar. 2015 (In Persian).
[27] S. Zakeri, A. Abbasi, Ak. Goshvarpour, B. Mohammadi, “ECG signal processing while doing Torrance creative thinking test,” Iranian Conference on Psychology and Behavioral Sciences, Tehran, Iran, 28 Agu. 2014 (In Persian).
[26] H. Jahashahlou, M. Shamsi, A. Abbasi, A. Kouhi, “Detection of ADHD disease in children based on power of ERP signals bands using SVM classifier,” 14th Iranian Conference on Fuzzy Systems, Tabriz, Iran, 19-21 Agu. 2014 (In Persian).
[25] S. Hajizadeh, A. Abbasi, Af. Goshvarpour, “Comparison between ANFIS and neural network performances for ECG signal discrimination affected by Iranian music,” 14th Iranian Conference on Fuzzy Systems, Tabriz, Iran, 19-21 Agu. 2014 (In Persian).
[24] S. Zakeri, A. Abbasi, Ak. Goshvarpour, “Creativity classification by heart rate signal features using a neuro-fuzzy network,” 14th Iranian Conference on Fuzzy Systems, Tabriz, Iran, 19-21 Agu. 2014 (In Persian).
[23] B. Abedi, A. Abbasi, Af. Goshvarpour, “A decision making system based on fuzzy weighted rules for early detection of degenerative neuromuscular disorders,” 14th Iranian Conference on Fuzzy Systems, Tabriz, Iran, 19-21 Agu. 2014 (In Persian).
[22] S. Hajizadeh, A. Abbasi, Af. Goshvarpour, “Signal processing for detection of Iranian music effect on ECG,” 1th National Conference on Electrical and Computer north Iran, Bandar Anzali, Iran, 12 Jun. 2014 (In Persian).
[21] S. Zakeri, A. Abbasi, Ak. Goshvarpour, “ECG signal processing by linear features in mental creative activities,” 1th National Conference on Electrical and Computer north Iran, Bandar Anzali, Iran, 12 Jun. 2014 (In Persian).
[20] B. Abedi, A. Abbasi, Y. Sarbaz, “ALS fast detection method by frequency analysis of gait signal,” 1th National Conference on Electrical and Computer north Iran, Bandar Anzali, Iran, 12 Jun. 2014 (In Persian).
[19] S. Zakeri, A. Abbasi, Ak. Goshvarpour, “Evaluation the effect of different filters with line features on ECG during creative thinking,” The National Conference of Engineering Sciences, New Ideas, Tonekabon, Iran, 11 May. 2014 (In Persian).
[18] P. Ghaderyan, A. Abbasi, M.H. Sedaaghi, “Linear features, principal component analysis, and support vector machine for epileptic seizure prediction progress,” 21st Iranian Conference on Electrical Engineering (ICEE 2013), Mashhad, Iran, 14-16 May. 2013.
[17] S. Abbasi, R. Derakhshanfar, A. Abbasi, Y. Sarbaz, “Classification of normal and abnormal lung sounds using neural network and support vector machines,” 21st Iranian Conference on Electrical Engineering (ICEE 2013), Mashhad, Iran, 14-16 May. 2013.
[16] A. Shirazi, A. Abbasi, “Modification of coding of human brain data based on cognitive method,” 5th International Conference of Cognitive Science (ICCS 2013), Tehran, Iran, pp. 20, 7-9 May. 2013.
[15] P. Ghaderyan, A. Abbasi, M.H. Sedaaghi, “Providing a feasible seizure prediction algorithm for implantable devices,” 5th International Conference of Cognitive Science (ICCS 2013), Tehran, Iran, pp. 20, 7-9 May. 2013.
[14] S. Abbasi, A. Abbasi, Y. Sarbaz, “Spectral analysis of purkinje cell output,” 5th International Conference of Cognitive Science (ICCS 2013), Tehran, Iran, pp. 1, 7-9 May. 2013.
[13] B. Nobarian, S. Daneshvar, A. Abbasi, “Image fusion of MRI and PET by combining YCBCR and wavelet models,” 1th Iranian Conference on Pattern Recognition and Image Processing, Birjand, Iran, pp. 99-104, 6-8 Mar. 2013 (In Persian).
[12] A. Shirazi, A. Abbasi, “Applying genetic algorithm for optimizing parameters in a cognitive model used for data coding in human brain hippocampus,” 11th Iranian Conference on Intelligent Systems (ICIS 2013), Tehran, Iran, pp. 1-7, 27-28 Feb. 2013 (In Persian).
[11] A. Biniaz, A. Abbasi, M. Shamsi, A. Ebrahimi, “Fuzzy c-means clustering based on Gaussian spatial information for brain MR image segmentation,” 19th Iranian Conference on Biomedical Engineering (ICBME), Tehran, Iran, pp. 154-158, 20-21 Dec. 2012.
[10] A. Biniaz, Z. Ahmadi, A. Abbasi, “Segmentation of brain MRI by ACO meta-heuristic,” National Congress on Electrical, Computer, and Information Technology Engineering, Mashhad, Iran, pp. 125-129, 7-9 Nov. 2012 (In Persian).
[9] A. Biniaz, A. Abbasi, M. Shamsi, “Improvement on spatial data and time of segmentation of brain MRI by FCM,” National Congress on Electrical, Computer, and Information Technology Engineering, Mashhad, Iran, pp. 120-124, 7-9 Nov. 2012 (In Persian).
[8] M. Bakhshali, M. Shamsi, A. Abbasi, “Putamen segmentation in brain MR images by fuzzy clustering method,” 6th International Conference on Fuzzy Information and Engineering, Babolsar, Iran, 25-26 Oct. 2012. (In Persian).
[7] A. Biniaz, A. Abbasi, “Fast FCM with gaussian spatial information for MR image segmentation: gsFFCM,” 6th International Conference on Fuzzy Information and Engineering, Babolsar, Iran, 25-26 Oct. 2012.
[6] A. Biniaz, A. Abbasi, M. Shamsi, “Fast FCM algorithm for brain MR image segmentation,” 6th International Conference on Fuzzy Information and Engineering, Babolsar, Iran, 25-26 Oct. 2012.
[5] A. Biniaz, A. Abbasi, M. Shamsi, “Review of segmentation of human brain MRI: methods, clinical applications, advantageous, and disadvantageous,” 1th Isfahan International Conference on Electrical Engineering, Isfahan, Iran, 22-23 Aug. 2012 (In Persian).
[4] Z. Ahmadi, A. Abbasi, F. Farnood-Ahmadi, “Effective parameters on short range photogrammetry system designed for biomedical applications,” 2th Congress on Eshragh Geomatics science, Bojnurd, Iran, 27-29 Jul. 2012 (In Persian).
[3] A. Abbasi, B. Vosoughi Vahdat, “A new numerical method for solving 2D electrical impedance tomography inverse problem,” 14th International Congress on Computational and Applied Mathematics (ICCAM), Turkey, pp. 103, 29Sep.-2Oct. 2009.
[2] A. Abbasi, F. Pashakhanlou, B. Vosoughi Vahdat, “Error propagation in non-iterative EIT block method,” IEEE International Symposium on Signal Processing and Information Technology, pp. 678-681, 15-18 Dec. 2007.
[1] A. Abbasi, M. Jahed, “Combination of Farina and Merletti model with Reynolds model for surface EMG in water environment and investigation of its accuracy,” 13th Iranian Conference on Biomedical Engineering (ICBME), Tehran, Iran, pp. 421-428, 21-22Feb. 2007 (In Persian).
 
 
Last Update: Oct. 2017
       
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