Mohammad-Reza Siadat, Ph.D.

副教授 计算机科学 and Engineering Department (248) 370-2230 (电子邮件保护) Ph.D., Wayne State University

教学

• 视觉计算
• Advanced 视觉计算
• Pattern Recognition and Machine Learning
• Computer Problem Solving
• Design and Analysis of Algorithms

研究

• Medical Signal and Image Processing
• Computational Anatomy and Physiology
• 医学信息学

The goals are utilization of the wealth of available medical data to the fullest for data-driven and patient-specific diagnosis, treatment planning and prognosis.

Selected Publications

1. “Unstructured Medical Image Query using Big Data – An Epilepsy Case Study,” Journal 的生物医学ical 信息rmatics, 卷. 59, pp. 218–226, 2016.
   
   
2. “Analysis of Incomplete and Inconsistent Clinical Survey Data,” Journal 的知识edge and 信息rmation Systems, 卷. 46, Issue 3, pp 731-750, 2016.
   
   
3. “Validation of Brain Connectivity Analysis using fMRI Simulation,” Int. J. 是女士的. Sys. Modelling and Simulation,卷. 7, No. 4, pp. 279–293, 2015.
   
   
4. “Conversion of a Surface Model … into a 卷ume Model for Medical Image Retrieval,” Applied 医学信息学,卷. 36, No. 2, pp. 9-30, 2015.
   
   
5. “Continence Index: a New Screening Quest. to Predict Probability of Incont.…,” Int. Urology and Nephrology,卷. 47, No. 7, pp 1091-1097, 2015.
   
   
6. “Stratification of Clinical Survey Data Using Contingency Tables,” Int. J. of Data Mining and Knowledge Management Process,卷.4, No.2014年7月4日.
   
   
7. “A Simulation … Feature Selection Methods Utilizing Gene Ontology for Gene Expr. Classif.,” J. 的生物医学. 信息.,卷. 46, No. 6, pp. 1044-59, 2013.
   
   
8. “Comparison Improved Feature Select. 由Incorp. Gene Similarity into LASSO,” Int. J. 的知识. 生物科学发现.,卷. 3, No. 1, pp. 1-19, 2012.
   
   
9. “Novel Application of Statistical Methods to Identify Urinary Incontinence Risk Factors,” The Journal of Advances in Urology,卷. 2012, pp. 1-8, 2012.