Hamidreza Farhidzadeh
Hamidreza Farhidzadeh
PhD in Computer Science and Engineering
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Fracture mode identification in cementitious materials using supervised pattern recognition of acoustic emission features
A Farhidzadeh, AC Mpalaskas, TE Matikas, H Farhidzadeh, DG Aggelis
Construction and building materials 67, 129-138, 2014
Random Eye State Change Detection in Real-Time using EEG Signals
A Saghafi, CP Tsokos, M Goudarzi, H Farhidzadeh
Expert Systems with Applications, 2016
Texture Feature Analysis to Predict Metastatic and Necrotic Soft Tissue Sarcomas
H Farhidzadeh, DB Goldgof, LO Hall, RA Gatenby, RJ Gillies, ...
Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on …, 2015
Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats
H Farhidzadeh, B Chaudhury, M Zhou, DB Goldgof, LO Hall, RA Gatenby, ...
Medical Imaging 2015: Computer-Aided Diagnosis 9414, 474-478, 2015
Classification of Progression Free Survival with Nasopharyngeal Carcinoma Tumors
H Farhidzadeh, JY Kim, JG Scott, DB Goldgof, LO Hall, LB Harrison
SPIE Medical Imaging, 2016
Spectral Sparsification in Spectral Clustering
A Chakeri, H Farhidzadeh, L Hall
International Conference on Pattern Recognition, 2016
Prediction of treatment response and metastatic disease in soft tissue sarcoma
H Farhidzadeh, M Zhou, DB Goldgof, LO Hall, M Raghavan, RA Gatenby
Medical Imaging 2014: Computer-Aided Diagnosis 9035, 321-326, 2014
A Common Spatial Pattern Method for Real-time Eye State Identification by using EEG Signals
A Saghafi, C Tsokos, H Farhidzadeh
IET Signal Processing, 2017
Signal Intensity Analysis of Ecological Defined Habitat in Soft Tissue Sarcomas to Predict Metastasis Development
H Farhidzadeh, B Chaudhury, JG Scott, DB Goldgof, LO Hall, RA Gatenby, ...
SPIE Medical Imaging, 2016
Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats
B Chaudhury, M Zhou, H Farhidzadeh, DB Goldgof, LO Hall, RA Gatenby, ...
SPIE Medical Imaging, 97850T-97850T-7, 2016
A Quantitative Histogram-based Approach to Predict Treatment Outcome for Soft Tissue Sarcomas Using Pre-and Post-treatment MRIs
H Farhidzadeh, DB Goldgof, LO Hall, JG Scott, RA Gatenby, RJ Gillies, ...
2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Hall. Spectral sparsification in spectral clustering
A Chakeri, H Farhidzadeh, O Lawrence
23rd international conference on pattern recognition (ICPR), 2301-2306, 0
Phenotypic analysis of Arabidopsis thaliana root plant with improved feature extraction and combining classifiers approach
H Farhidzadeh, SN Hashemi, S Masoudnia
The 16th CSI International Symposium on Artificial Intelligence and Signal …, 2012
Learning to predict clinical outcomes from soft tissue sarcoma mri
H Farhidzadeh
Hippocampus Temporal Lobe Epilepsy Detection using a combination of shape-based features and spherical harmonics representation
Z Kohan, H Farhidzadeh, R Azmi, B Gholizadeh
arXiv preprint arXiv:1612.00338, 2016
Probabilistic Neural Network Training for Semi-Supervised Classifiers
H Farhidzadeh, 2015
Machine Learning Methods to Analyze Arabidopsis Thaliana Plant Root Growth
H Farhidzadeh, 2015
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