Research Interests:

Computer Vision, Image Processing, Information Retrieval, Machine Learning, and Data Mining and their application to retrieval for relevant and actionable information to achieving clinical and research goals in biomedicine. Dr. Rahman's research objectives may be formulated as seeking better ways to retrieve information from Biomedical images by moving beyond conventional text-based searching to combining both text and visual features in search queries. The approaches to meeting these objectives use a combination of techniques and tools from the above-mentioned fields.

Selected Publications (Total: 56, h-Index 16, citations: 973):

• M. M. Rahman, A soft image representation approach by exploiting local neighborhood structure of self-organizing map (SOM), Soft Computing (Springer), April 2015, Soft Comput (2016) 20: 2759. doi:10.1007/s00500-015-1675-8
• M. M. Rahman, S.K. Antani, D. Demner-Fushman; G.R. Thoma, Biomedical image representation approach using visualness and spatial information in a concept feature space for interactive region-of-interest-based retrieval, J. Med. Imag. 2(4), 046502 (2015)
• M. M. Rahman, D. You, M. S. Simpson, S. K. Antani, D. Demner-Fushman, and G. R. Thoma, Multimodal biomedical image retrieval using hierarchical classification and modality fusion, International Journal of Multimedia Information Retrieval (Springer), Vol. 2, pp. 159-173, July 2013.
• M. M. Rahman, S. K. Antani, and G. R. Thoma, A Learning-Based Similarity Fusion and Filtering Approach for Biomedical Image Retrieval Using SVM Classification and Relevance Feedback, IEEE Trans. On Information Technology in Biomedicine, Vol. 15, no. 4, pp. 640-646, July 2011. 
• M. M. Rahman, P. Bhattacharya and B. C. Desai, An Integrated Content-Based Retrieval and Expert Fusion-Based Decision Support System for Automated Melanoma Recognition of Ceroscopy Images, Computerized Medical Imaging and Graphics, Vol. 34, no. 6, pp. 479-486, 2010.