Items where Author is "Molinari, F."

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Number of items: 6.

Article

Acharya, U.R. and Fujita, H. and Bhat, S. and Koh, J.E.W. and Adam, M. and Ghista, D.N. and Sudarshan, V.K. and Chua, K.P. and Chua, K.C. and Molinari, F. and Ng, E.Y.K. and Tan, R.S. (2016) Automated diagnosis of diabetes using entropies and diabetic index. Journal of Mechanics in Medicine and Biology (jmmb), 16 (01). p. 1640008. ISSN 0219-5194, DOI https://doi.org/10.1142/S021951941640008X.

Acharya, U.R. and Fujita, H. and Bhat, S. and Raghavendra, U. and Gudigar, A. and Molinari, F. and Vijayananthan, A. and Ng, K.H. (2016) Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images. Information Fusion, 29. pp. 32-39. ISSN 1566-2535, DOI https://doi.org/10.1016/j.inffus.2015.09.006.

Acharya, U.R. and Sudarshan, V.K. and Ghista, D.N. and Lim, W.J.E. and Molinari, F. and Sankaranarayanan, M. (2015) Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method. Knowledge-Based Systems, 81. pp. 56-64. DOI https://doi.org/10.1016/j.knosys.2015.02.005.

Acharya, U.R. and Molinari, F. and Sree, S.V. and Swapna, G. and Saba, L. and Guerriero, S. and Suri, J.S. (2015) Ovarian tissue characterization in ultrasound: A Review. Technology in Cancer Research & Treatment, 14 (3). pp. 251-261. ISSN 1533-0338, DOI https://doi.org/10.1177/1533034614547445.

Acharya, U.R. and Sree, S.V. and Molinari, F. and Saba, L. and Nicolaides, A. and Suri, J.S. (2015) An automated technique for carotid far wall classification using grayscale features and wall thickness variability. Journal of Clinical Ultrasound, 43 (5). pp. 302-311. ISSN 0091-2751, DOI https://doi.org/10.1002/jcu.22183.

Acharya, U.R. and Faust, O. and Molinari, F. and Sree, S.V. and Junnarkar, S.P. and Sudarshan, V. (2015) Ultrasound-based tissue characterization and classification of fatty liver disease: A screening and diagnostic paradigm. Knowledge-Based Systems, 75. pp. 66-77. ISSN 0950-7051, DOI https://doi.org/10.1016/j.knosys.2014.11.021.

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