Hamidreza Farhidzadeh
Hamidreza Farhidzadeh
PhD in Computer Science and Engineering
Verified email at mail.usf.edu
Cited by
Cited by
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
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, 94141U, 2015
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 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, 903518, 2014
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
Random Eye State Change Detection in Real-Time using EEG Signals
A Saghafi, CP Tsokos, M Goudarzi, H Farhidzadeh
Expert Systems with Applications, 2016
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
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
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
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
Spectral Sparsification in Spectral Clustering
A Chakeri, H Farhidzadeh, L Hall
International Conference on Pattern Recognition, 2016
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
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
http://arxiv.org/abs/1509.01271, 2015
Learning to Predict Clinical Outcomes from Soft Tissue Sarcoma MRI
H Farhidzadeh
Machine Learning Methods to Analyze Arabidopsis Thaliana Plant Root Growth
H Farhidzadeh
http://arxiv.org/abs/1509.01270, 2015
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