Hamidreza Farhidzadeh

According to our database, Hamidreza Farhidzadeh authored at least 14 papers between 2014 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Learning to Predict Clinical Outcomes from Soft Tissue Sarcoma MRI.

Hamidreza Farhidzadeh

PhD thesis, 2017

Common spatial pattern method for real-time eye state identification by using electroencephalogram signals.

Abolfazl Saghafi, Chris P. Tsokos, Hamidreza Farhidzadeh

IET Signal Process., 2017

Random eye state change detection in real-time using EEG signals.

Abolfazl Saghafi, Chris P. Tsokos, Mahdi Goudarzi, Hamidreza Farhidzadeh

Expert Syst. Appl., 2017

2016

Hippocampus Temporal Lobe Epilepsy Detection using a Combination of Shape-based Features and Spherical Harmonics Representation.

Zohreh Kohan, Hamidreza Farhidzadeh, Reza Azmi, Behrouz Gholizadeh

CoRR, 2016

A quantitative histogram-based approach to predict treatment outcome for Soft Tissue Sarcomas using pre- and post-treatment MRIs.

Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Jacob G. Scott, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Classification of progression free survival with nasopharyngeal carcinoma tumors.

Hamidreza Farhidzadeh, Joo Y. Kim, Jacob G. Scott, Dmitry B. Goldgof, Lawrence O. Hall, Louis B. Harrison

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development.

Hamidreza Farhidzadeh, Baishali Chaudhury, Jacob G. Scott, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats.

Baishali Chaudhury, Mu Zhou, Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Robert J. Weinfurtner, Jennifer S. Drukteinis

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Spectral sparsification in spectral clustering.

Alireza Chakeri, Hamidreza Farhidzadeh, Lawrence O. Hall

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Probabilistic Neural Network Training for Semi-Supervised Classifiers.

Hamidreza Farhidzadeh

CoRR, 2015

Machine Learning Methods to Analyze Arabidopsis Thaliana Plant Root Growth.

Hamidreza Farhidzadeh

CoRR, 2015

Texture Feature Analysis to Predict Metastatic and Necrotic Soft Tissue Sarcomas.

Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats.

Hamidreza Farhidzadeh, Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014

Prediction of treatment response and metastatic disease in soft tissue sarcoma.

Hamidreza Farhidzadeh, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Meera Raghavan, Robert A. Gatenby

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014