| 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 | 61 | 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 | 16 | 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 | 13 | 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 | 13 | 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 | 11 | 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 | 9 | 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 | 9 | 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 | 6 | 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 | 6 | 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 | 5 | 2016 |
| Spectral Sparsification in Spectral Clustering A Chakeri, H Farhidzadeh, L Hall International Conference on Pattern Recognition, 2016 | 3 | 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 | 3 | 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 | 1 | 2016 |
| Probabilistic Neural Network Training for Semi-Supervised Classifiers H Farhidzadeh http://arxiv.org/abs/1509.01271, 2015 | 1 | 2015 |
| Learning to Predict Clinical Outcomes from Soft Tissue Sarcoma MRI H Farhidzadeh | | 2017 |
| Machine Learning Methods to Analyze Arabidopsis Thaliana Plant Root Growth H Farhidzadeh http://arxiv.org/abs/1509.01270, 2015 | | 2015 |
Lawrence HallProfessor of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
