MS.c, Sharif University of Technology University, Electrical Engineering, Communication
PhD, Tarbiat Modares University, Iran, Electrical Engineering, Communication
Systems Synthesis and Analysis
Digital Image Processing
Time- Frequency Analysis
Digital and Medical Image Processing
Bio /metric Systems and Data Hiding
Planning Analog IC
A. Tashk, M. S. Helfroush, H. Danyali and M. Akbarzadeh-jahromi, “Automatic Detection of Breast Cancer Mitotic Cells Based on the combination of Textural, Statistical and Innovative Mathematical Features,” Elsevier Journal of Applied Mathematical Modelling, January 2015.
Mehri Owjimehr, Habibollah Danyali, Mohammad Sadegh Helfroush, “An Improved Method for Liver Diseases Detection by Ultrasound Image Analysis,” Journal of Medical Signals and Sensors,” Vol.5, No. 1, pp. 21-29, Jan-Mar 2015.
Tashk, M. S. Helfroush, H. Danyali and M. Akbarzadeh-jahromi, “A Computer-Aided System for Automatic Mitosis Detection from Breat Cancer Histological Slide Images based on Stiffness Matrix and Feature Fusion,” accepted by Current Bioinformatics (CBIO),July, 2014 (IF:2.01).
R. Nateghi, H. Danyali, M. S. Helfroush and A. Tashk, “Intelligent CAD System for Automatic Detection of Mitotic Cells from Breast Cancer Histology Slide Images Based on Teaching-Learning-Based Optimization,” Computational Biology Journal, vol. 2014, Article ID 970898, 9 pages, 2014.
S. Golabi, M. S. Helfroush, H. Danyali and M. Owjimehr, “Robust Watermarking Against Geometric Attacks Using Partial Calculation of Radial Moments and Interval Phase Modulation,” Information Sciences, Vol. 269, pp.94-105, June 2014.
Ghofrani F, M. S. Helfroush , Danyali H, Kazemi K., Improving the Performance of Machine Learning Algorithms Using Fuzzy-based Features for Medical X-ray Image Classification, accepted to be published in Journal of Intelligent and Fuzzy Systems (JIFS), 2014.
A. Tashk, M. S. Helfroush, H. Danyali and M. Akbarzadeh, “A Novel CAD System for Mitosis detection Using Histopathology Slide Images,” Journal of Medical Signals and Sensors,” Vol.4, No. 2, pp. 139-149, Apr.-June, 2014.
Jafarian N., Kazemi K., Abrishami Moghaddam H., Grebe R., Fournier M., Helfroush M.S., Wallois F., Gondry-Jouet, C., Automatic segmentation of newborns' skull and fontanel from CT data using model based variational level set. Journal of Signal Image and Video Processing (SIViP), 8(2): 377-387, 2014.
Kasiri, K., Kazemi, K., Dehghani, M.J. Helfroush, M.S., A hybrid hierarchical approach for brain tissue segmentation by combining brain atlas and least square support vector machine. Journal of Medical Signals and Sensors, 3(4) 232-43, 2013.
Noorizadeh N., Kazemi K., Grebe R., Helfroush M.S., Mahmoudzadeh M., Wallois F., A tool to investigate symmetry properties of newborns brain: The newborns’ symmetric brain atlas. journal of ISRN Neuroscience, Volume 2013, Article ID 317215, 2013
Seyyed Mohammad Mohammadi, , M. S. Helfroush, Kamran Kazemi, “Novel Shape-Texture Feature Extraction for Medical X-ray Image Classification,” International Journal of Innovative Computing Information & Control, Jan. 2012.
Shahvaran Z., Kazemi K.,Helfroush M.S., Jafarian N., Noorizadeh N., Variational level set combined with Markov Random Field modeling for simultaneous intensity non-uniformity correction and segmentation of MR images. Jornal of Neurosci Methods. 209 (2) 280-289, 2012.
Ghofrani F, Helfroush M.S., Rashidpour M., Kazemi K., Fuzzy-Based Medical X-ray Image Classification. Journal of Medical Signals and Sensors 2 (2), 15-21, 2012.
Shahvaran Z., Kazemi K.,Helfroush M.S., Jafarian N., Region based active contour model based on Markov random field to segment images with intensity non-uniformity and noise. Journal of Medical Signals and Sensors 2 (1), 30-41, 2012.
Sasan Golabi, Saiid Saadat, M. S. Helfroush, “A Novel Thinning Algorithm with Fingerprint Minutiae Extraction Capability” International journal of Computer and Engineering, 2012.
Ashkan Tashk, M. S. Helfroush, Kamran Kazemi, “A novel fingerprint matcher based on an ergodic 2-D Hidden Markov Model,” International Journal of Electronics and Communications (AEÜ), Sep. 2011.
M. S. Helfroush, Mohsen Mohammadpour, “An Image Based Fingerprint Verification System,” IST Transactions on Control Engineering- Theory & Applications, 2010.
Ashkan Tashk, M. S. Helfroush, Mohsen Mohammadpour, “Fingerprint Ridge Orientation Estimation Smoothing Based on Moified ۲D Fourier Expansion and Gaussian Filtering,” IST Transactions on Computer Vision Systems- Theory & Applications, 2010.
Mehdi Hajizadeh, M. S. Helfroush, Mohammad Javad Dehghani, Ashkan Tashk, “A Robust Blind Image Watermarking Method Using Local Maximum Amplitude Wavelet Coefficient Quantization,” Advances in Electrical and Computer Engineering, 2010.
V. Batani, M. S. Helfroush, K. Kasiri, “image Compression based on Spacial Redundancy Removal and Image Inpainting, Springer Journal of zhejiang university Science C, 2010.
Ashkan Tashk, M. S. Helfroush, Mohammad Javad Dehghani “A Chebyshev/Legendre Polynomial Interpolation Approach for Fingerprint Orientation Estimation Smoothing and Prediction,”Springer Journal of zhejiang university Science C, 2010.
M. S. Helfroush, Mohsen Mohammadpour, “Automatic Fingerprint Identification System Evaluation Using Classification and Matching Parameters,”Military Technical Review, 2008.
M. S. Helfroush, H. Ghassemian,”Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification,” EURASIP Journal on Advances in Signal Processing, vol. 2007.
A. R. Hooshmand Sarvestani, M.S. Helfroush, K. Kazemi, H. Danyali, “An EZBC based approach for polarimetric SAR data compression” 4h International Conference on Computer and Knowledge Engineering, 2014.
Alivar, H. Danyali and M. S. Helfroush, ”DE-Based Reversible Medical Image Authentication Using Hamming Code,” 4h International Conference on Computer and Knowledge Engineering, 2014.
M. Owjimehr, H. Danyali and M. S. Helfroush,” Fully Automatic Segmentation and Classification of Liver Ultrasound Images Using Completed LBP Textute Features,” in Proc. the 22nd Iranian Conference on Electrical Engineering, 2014.
A. Tashk, M. S. Helfroush, H. Danyali and M. Akbarzadeh,” 26. A CAD Mitosis Detection System From Breast Cancer Histology Images based on Fused Features,” in Proc. the 22nd Iranian Conference on Electrical Engineering (ICEE2014), 2014.
A. Ansari, H. Danyali and M. S. Helfroush,” Spread-Spectrum Robust Image Watermarking for Ownership,” in Proc. the 22nd Iranian Conference on Electrical Engineering (ICEE 2014), Tehran, Iran, 2014.
M. Owjimehr, and H. Danyali and M. S. Helfroush,”Diagnosing of Fatty and Heterogeneous Liver Diseases from Ultrasound Images Using Fully Automated Segmentation and Hierarchical Classification,” in Proc. Symposium on Artificial Intelligence & Signal Processing(AISP), 2013.
A. Ebrahiminia, M. S. Helfroush, H. Danyali and S. Bazrafkan, ”Contourlet-Based Levelset SAR Image Segmentation,” in Proc. Symposium on Artificial Intelligence & Signal Processing(AISP), 2013.
Z. Momenzadeh, H. Danyali and M. S. Helfroush,” Image Watermarking Based on Reference Sharing Mechanism for Tamper Detection and Recovery with Special Care about ROI Recovery,” in Proc. the 21h Iranian Conference on Electrical Engineering (ICEE 2013), 2013.
D. Falahati, M. S. Helfroush, H. Danyali and M. Rashidpour "Static Signature Verification for Farsi and Arabic Signatures using Dynamic Time Warping,” in Proc. the 1۹h Iranian Conference on Electrical Engineering, 2011.
Kasiri, K. ; Kazemi, K. ; Dehghani, M.J. ; Helfroush, M.S. “Atlas-based segmentation of brain MR images using least square support vector machines” 2nd International Conference on Image Processing Theory Tools and Applications (IPTA), 2010.
Kasiri, K. ; Dehghani, M.J. ; Kazemi, K. ; Helfroush, M.S. ; Kafshgari, S. “Comparison evaluation of three brain MRI segmentation methods in software tools” 17th Iranian Conference of Biomedical Engineering (ICBME), 2010.
Tashk, A. ; Helfroush, M.S. ; Muhammadpour, M. “Improvement of fingerprint orientation estimation by a modification of fingerprint orientation model based on 2D Fourier expansion (M-FOMFE)” 2nd International Conference on Computer, Control and Communication, 2009.