Recent Publications in Journals (2000-current)

 

h-index = 52, i10-index = 175, citations = 11, 481 according to Google Scholar (June 2017).

Numbering of entries in each category, in reversed chronological order, starts with the first such item in my career. The top-most entry number is my career total in each category. The names of my research students/ trainees are underlined.

 

169. J. Chakraborty, A. Midya, S. Mukhopadhyay, R. M. Rangayyan, A. Sadhu, V.  Singla, N. Khandelwal, "Computer-Aided Detection of Mammographic Masses using Hybrid Region Growing Controlled by Multilevel Thresholding," Journal of Medical and Biological Engineering, 2018, accepted.

 

168. Y. F. Wu, Y. C. Yao, Y. G.  Xiao, X. Q. Ye, P. Chen, L. F. Liao, M. H. Wu, R. M. Rangayyan, "Separation and identification of rhythm components of local field potential signals in awake mice using ensemble empirical mode decomposition," Biomedical Engineering: Applications, Basis and Communications, 2017, 29(4): 1750029. https://doi.org/10.4015/S1016237217500296

 

167. Y. F. Wu, P. Chen, X. Luo, M. H. Wu, L. F. Liao, S. S. Yang, R. M. Rangayyan, "Measuring signal fluctuations in gait rhythm time series of patients with Parkinson's disease using entropy parameters," Biomedical Signal Processing and Control, 31: 265–271, January 2017, http://dx.doi.org/10.1016/j.bspc.2016.08.022.

 

166. F. Oloumi, R.M. Rangayyan, and A.L. Ells, "Computer-aided Diagnosis of Retinopathy in Retinal Fundus Images of Preterm Infants via Quantification of Vascular Tortuosity," SPIE Journal of Medical Imaging 3(4): paper no. 044505 (Oct-Dec 2016), doi: 10.1117/1.JMI.3.4.044505.

 

165. M. Mustra, M. Grgic, and R.M. Rangayyan, "Review of recent advances in segmentation of the breast boundary and the pectoral muscle in mammograms," Medical and Biological Engineering and Computing, 54(7):1003–1024, July 2016. DOI 10.1007/s11517-015-1411-7.

 

164. L. Frighetto-Pereira, R. M. Rangayyan, G. A. Metzner, P. M. Azevedo-Marques, and M. H. Nogueira-Barbosa, "Shape, texture, and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images," Computers in Biology and Medicine, 73(2016):147–156, 2016.

 

163. Y. F.  Wu, P. Chen, X. Luo, H. Huang, L. Liao, Y. Yao, M. Wu, R. M. Rangayyan, "Quantification of Knee Vibroarthrographic Signal Irregularity Associated with Patellofemoral Joint Cartilage Pathology Based on Entropy and Envelope Amplitude Measures," Computer Methods and Programs in Biomedicine, 130:1-12, July 2016. DOI: http://dx.doi.org/10.1016/j.cmpb.2016.03.021

 

162. P. Casti, A. Mencattini, M. Salmeri, A. Ancona, F. F. Mangieri, M. L. Pepe, R. M. Rangayyan, "Contour-Independent Detection and Classification of Mammographic Lesions," Biomedical Signal Processing and Control, 25:165-177, March 2016.

 

161. I. Cruz-Aceves, F. Oloumi, R. M. Rangayyan, J. G. Aviña-Cervantes, and A. Hernandez-Aguirre, "Automatic segmentation of coronary arteries using Gabor filters and thresholding based on multiobjective optimization," Biomedical Signal Processing and Control, 25:76-85, March 2016.

 

160. F. Oloumi, R. M. Rangayyan, P. Casti, A. L. Ells, " Computer-aided Diagnosis of Plus Disease via Measurement of Vessel Thickness in Retinal Fundus Images of Preterm Infants," Computers in Biology and Medicine, 66:316-329, Nov. 2015.

 

159. P. Casti, A. Mencattini, M. Salmeri, R. M. Rangayyan, "Analysis of Structural Similarity in Mammograms for Detection of Bilateral Asymmetry," IEEE Transactions on Medical Imaging, 34(2):662-671, February 2015. DOI 10.1109/TMI.2014.2365436

 

158. J. Chakraborty, A. Midya, S. Mukhopadhyay, R. M. Rangayyan, A. Sadhu, V.  Singla, N. Khandelwal, P. Bhattacharyya, and P. M. Azevedo-Marques, "Detection of  the Nipple in Mammograms with Gabor Filters and the Radon Transform," Biomedical Signal Processing and Control, 15:80-89, January 2015. doi:10.1016/j.bspc.2014.09.001

 

157. F. Oloumi, R.M. Rangayyan, and A.L. Ells, "Quantification of the Changes in the Openness of the Major Temporal Arcade in Retinal Fundus Images of Preterm Infants with Plus Disease," Investigative Ophthalmology & Visual Science, 55:6728-6735, October 2014. doi:10.1167/iovs.13-13640.

 

156. F. Oloumi, A. K. Dhara, R. M. Rangayyan, and S. Mukhopadhyay, "Detection of Blood Vessels in Retinal Fundus Images," Computer Science Journal of Moldova, Invited Article, 22(2:65):155-185, 2014.

 

155. L. C. Pereyra, S. M. Pereira, J. P. Souza, M. A. C. Frade, R. M. Rangayyan, P. M. Azevedo-Marques, “Characterization and pattern recognition of color images of dermatological ulcers: a pilot study," Computer Science Journal of Moldova, Invited Article, 22(2:65):211-235, 2014.

 

154. F. Oloumi, R. M. Rangayyan, and A. L. Ells, "Computer-aided Diagnosis of Proliferative Diabetic Retinopathy via Modeling of the Major Temporal Arcade in Retinal Fundus Images." Journal of Digital Imaging, 26(6): 1124-1130,  December 2013. DOI 10.1007/s10278-013-9592-9.

 

153. P. Casti, A. Mencattini, M. Salmeri, A. Ancona, F. Mangeri, M. L. Pepe, R. M. Rangayyan, "Estimation of the breast skin-line in mammograms using multidirectional Gabor filters." Computers in Biology and Medicine, 43(11): 1870-1881, November 2013.

 

152. P. Casti, A. Mencattini, M. Salmeri, A. Ancona, F. Mangeri, M. L. Pepe, R. M. Rangayyan, "Automatic detection of the nipple in screen-film and full-field digital mammograms using a novel Hessian-based method ." Journal of Digital Imaging, 26(5): 948-957, October 2013. DOI 10.1007/s10278-013-9587-6

 

151. R. M. Rangayyan, S. Banik, and J. E. L. Desautels, "Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns," invited article, Journal of Visualized Experiments, August 2013, e50341, article with 19 pages and online video. URL: http://www.jove.com/video/50341. DOI: doi:10.3791/50341.

 

150. R. M. Rangayyan, S. Banik, J. Chakraborty, S. Mukhopadhyay, and J. E. L. Desautels, "Measures of Divergence of Oriented Patterns for the Detection of Architectural Distortion in Prior Mammograms," International Journal of Computer Assisted Radiology and Surgery, 8(4):527-545, July 2013. DOI 10.1007/s11548-012-0793-3.

 

149. K.Y. Liu, M.R. Smith, E. Fear, and R.M. Rangayyan, "Evaluation and Amelioration of Computer-Aided Diagnosis with Artificial Neural Networks Utilizing Small-Sized Sample Sets," Biomedical Signal Processing and Control, 8(3):255-262, May 2013.

           

148. S. M. Pereira,  M. A. C. Frade, R. M. Rangayyan, P. M. Azevedo-Marques, “Classification of color images of dermatological ulcers," IEEE Journal of Biomedical and Health Informatics, 17(1):136-142, January 2013. DOI 0.1109/TITB.2012.2227493

           

147. S. Banik, R. M. Rangayyan, and J. E. L. Desautels, "Measures of Angular Spread and Entropy for the Detection of Architectural Distortion in Prior Mammograms," International Journal of Computer Assisted Radiology and Surgery, 8(1): 121-134, January 2013. DOI 10.1007/s11548-012-0681-x.

 

146. R. M. Rangayyan, F. Oloumi, Y.F. Wu, and S.X. Cai, “Fractal Analysis of Knee-joint Vibroarthrographic Signals via Power Spectral Analysis," Biomedical Signal Processing and Control, 8(1):23-29, January 2013. DOI 10.1016/j.bspc.2012.05.004.

 

145. S. Banik, R. M. Rangayyan, and J. E. L. Desautels, "Detection of architectural distortion using statistical measures of correlation and stationarity," Rendiconti del Circolo Matematico di Palermo, Serie II, Suppl. 84, pp. 33-42, 2012.

 

144. F. Oloumi, R. M. Rangayyan, and A.L. Ells, "Parabolic Modeling of the Major Temporal Arcade in Retinal Fundus Images," IEEE Transactions on Instrumentation & Measurement, 61(7): 1825-1838, July 2012. DOI 10.1109/TIM.2012.2192339.

 

143. J. Chakraborty, R. M. Rangayyan, S. Banik, S. Mukhopadhyay, and J. E. L. Desautels, "Statistical Measures of Orientation of Texture for the Detection of Architectural Distortion in Prior Mammograms of Interval-Cancer," Journal of Electronic Imaging, 21(3), 033010:1-13, July 2012. DOI: 10.1117/1.JEI.21.3.033010.

 

142. R. M. Rangayyan and F. Oloumi, “Fractal analysis and classification of breast masses using the power spectra of signatures of contours," Journal of Electronic Imaging, 21(2), 023018:1-9, April 2012. DOI: 10.1117/1.JEI.21.2.023018.

 

141. S. Banik, R. M. Rangayyan, and J. E. L. Desautels, “Detection of Architectural Distortion in Prior Mammograms”, IEEE Transactions on Medical Imaging, 30(2):279-294, February 2011. DOI 10.1109/TMI.2010.2076828. Winner of Canadian Institutes of Health Research: Institute of Cancer Research Publication Prize for 2011.

 

140. Y.F. Wu, S. Krishnan, and R.M. Rangayyan, “Computer-aided Diagnosis of Knee-joint Disorders via Vibroarthrographic Signal Analysis: A Review”, CRC Critical Reviews in Biomedical Engineering, 38(2):201-224, 2010.

 

139. R.M. Rangayyan, S. Banik, and J.E.L. Desautels, “Computer-aided Detection of Architectural Distortion in Prior Mammograms of Interval Cancer”, Journal of Digital Imaging, 23(5):611-631, October 2010. DOI 10.1007/s10278-009-9257-x.

 

138. R.M. Rangayyan, T. M. Nguyen, F.J. Ayres, and A. K. Nandi, “Effect of Pixel Resolution on Texture Features of Breast Masses in Mammograms”, Journal of Digital Imaging, 23(5):547-553, October 2010. DOI 10.1007/s10278-009-9238-0.

 

137. R.M. Rangayyan, X. Zhu, F.J. Ayres, and A.L. Ells, “Detection of the Optic Nerve Head in Fundus Images of the Retina with Gabor Filters and Phase Portrait Analysis”, Journal of Digital Imaging, 23(4):438-453, August 2010. doi:10.1007/s10278-009-9261-1.

 

136. I. Kamenetsky, R.M. Rangayyan, and H. Benediktsson, “Analysis of the Glomerular Basement Membrane in Images of Renal Biopsies Using the Split-and-Merge Method: A Pilot Study”, Journal of Digital Imaging, 23(4):463-474, August 2010. DOI 10.1007/s10278-009-9233-5

 

135. R.M. Rangayyan, I. Kamenetsky, and H. Benediktsson, “Segmentation and Analysis of the Glomerular Basement Membrane in Renal Biopsy Samples Using Active Contours: A Pilot Study”, Journal of Digital Imaging. doi: 10.1007/s10278-009-9188-6. 23(3):323-331, June 2010.

 

134. S. Banik, R.M. Rangayyan, and G.S. Boag, “Automatic Segmentation of the Ribs, the Vertebral Column, and the Spinal Canal in Pediatric Computed Tomographic Images”, Journal of Digital Imaging, doi: 10.1007/s10278-009-9176-x,  23(3):301-322, June 2010.

 

133. X. Zhu, R.M. Rangayyan, and A.L. Ells, “Detection of the Optic Nerve Head in Fundus Images of the Retina Using the Hough Transform for Circles”, Journal of Digital Imaging. doi: 10.1007/s10278-009-9189-5. 23(3):332-341, June 2010.

 

132. R.M. Rangayyan and Y.F. Wu, “Screening of Knee-joint Vibroarthrographic Signals Using Probability Density Functions Estimated with Parzen Windows”, Biomedical Signal Processing & Control, January 2010, 5(1):53-58. doi:10.1016/j.bspc.2009.03.008.

 

131. Y.F. Wu and R.M. Rangayyan, “An Unbiased Linear Adaptive Filter with Normalized Coefficients for the Removal of Noise in Electrocardiographic Signals”, International Journal of Cognitive Informatics and Natural Intelligence, vol. 3, no. 4, pp. 73-90, Oct.-Dec. 2009. DOI: 10.4018/jcini.2009062305.

 

130. D. Guliato, R.S. Bôaventura, M. Maia, R.M. Rangayyan, M.S. Simedo, and T.A.A. Macedo, “INDIAM - An e-Learning System for the Interpretation of Mammograms”, Journal of Digital Imaging, 22(4):405–420, August 2009, doi: 10.1007/s10278-008-9111-6.

 

129. S. Banik, R.M. Rangayyan, G.S. Boag, R.H. Vu, “Segmentation of the Pelvic Girdle in Pediatric Computed Tomographic Images”, Journal of Electronic Imaging, 18(3), article number 033005:1-11, (July – September 2009). DOI: 10.1117/1.3184783.

 

128. R. do Espírito Santo, R. de Deus Lopes, and R.M. Rangayyan, “Classification of breast masses in mammograms using radial basis functions and simulated annealing”, International Journal of Cognitive Informatics and Natural Intelligence, 3(3): 27-38, July-September 2009.

 

127. M.R. Smith, X. Wang, R. M. Rangayyan, “Evaluation of the Sensitivity of a Medical Data-mining  Application to the Number of Elements in Small Databases” , Biomedical Signal Processing & Control. doi:10.1016/j.bspc.2009.04.001. 4 (3):262–268, July 2009.

 

126. R.M. Rangayyan, S. Banik, G.S. Boag, “Landmarking and Segmentation of Computed Tomographic Images of Pediatric Patients with Neuroblastoma”, International Journal of Computer Assisted Radiology and Surgery. DOI 10.1007/s11548-009-0289-y. May 2009. 4(3):245-262.

 

125. D. Guliato, E.V. de Melo, R.M. Rangayyan, and R.C. Soares, “POSTGRESQL-IE: An Image-handling Extension for PostgreSQL”, Journal of Digital Imaging. DOI: 10.1007/s10278-007-9097-5, 22(2): 149-165, April 2009.

 

124. J. Tang, R. M. Rangayyan, J. Xu, I. El Naqa, Y. Yang, “Computer-Aided Detection and Diagnosis of Breast Cancer with Mammography: Recent Advances”, IEEE Transactions on Information Technology in Biomedicine, March 2009, 13(2):236-251. DOI: 10.1109/TITB.2008.2009441.

 

123. C. Serrano, B. Acha, R.M. Rangayyan, and J.E.L. Desautels, “Detection of microcalcifications in mammograms using error of prediction and statistical measures”, Journal of Electronic Imaging 18(1), 013011:1-10, Jan.–Mar. 2009. DOI: 10.1117/1.3099710.

 

122. Y.F. Wu, R.M. Rangayyan, Y. Zhou, and S.C. Ng, “Filtering electrocardiographic signals using an unbiased and normalized adaptive noise reduction system”, Medical Engineering & Physics, 31(1):17-26, January 2009. DOI:10.1016/j.medengphy. 2008.03.004. Correction: 31(5):614, June 2009.

 

121. R.M. Rangayyan and Y.F. Wu, “Analysis of vibroarthrographic signals with features related to signal variability and radial-basis functions”, Annals of Biomedical Engineering, 37(1):156-163, Jan. 2009. DOI: 10.1007/s10439-008-9601-1.

 

120. R.M. Rangayyan,  R.H. Vu, and G.S. Boag, “Automatic Delineation of the Diaphragm in Computed Tomographic Images”, Journal of Digital Imaging,  vol. 21, supplement 1, pp S134-S147, doi: 10.1007/s10278-007-9091-y, November 2008.

 

119. T. Mu, A. K. Nandi, and R.M. Rangayyan, “Screening of Knee-joint Vibroarthrographic Signals Using the Strict 2-Surface Proximal Classifier and Genetic Algorithm”, Computers in Biology and Medicine, 38(10):1103-1111, October 2008. doi:10.1016/j.compbiomed.2008.08.009.

                                 

118. T. Mu, A. K. Nandi, and R.M. Rangayyan, “Classification of Breast Masses Using Selected Shape, Edge-sharpness, and Texture Features with Linear and Kernel-based Classifiers”, Journal of Digital Imaging, doi: 10.1007/s10278-007-9102-z, 21(2):153—169, June 2008.

 

117. D. Guliato, J. Daloia de Carvalho, R.M. Rangayyan, S. A. Santiago, “Feature Extraction from a Signature based on the Turning Angle Function for the Classification of Breast Tumors”, Journal of Digital Imaging, DOI: 10.1007/s10278-007-9069-9, 21(2): 129 – 144, June 2008.

                

116. P.M. de Azevedo-Marques, N.A. Rosa, A.J.M. Traina, C. Traina Junior, S.K. Kinoshita, and R.M. Rangayyan, “Reducing the Semantic Gap in Content-based Image Retrieval in Mammography with Relevance Feedback and Inclusion of Expert Knowledge”, International Journal of Computer Assisted Radiology and Surgery, DOI 10.1007/s11548-008-0154-4. 3(1-2):123-130, June 2008.

 

115. R.M. Rangayyan, F.J. Ayres, Faraz Oloumi, Foad Oloumi, and P. Eshghzadeh-Zanjani, “Detection of Blood Vessels in the Retina with Multiscale Gabor Filters” , Journal of Electronic Imaging, 17(2), 023018:1-7, Apr–Jun 2008. DOI: 10.1117/1.2907209.

 

114. R.M. Rangayyan, D. Guliato, J. Daloia de Carvalho, S. A. Santiago, “Polygonal Approximation of Contours based on the Turning Angle Function”, Journal of Electronic Imaging, 17(2), 023016:1-14, Apr–Jun 2008. DOI 10.1117/1.2920413.

 

113. R.M. Rangayyan, S. Prajna, F.J. Ayres, and J.E.L. Desautels, “Detection of Architectural Distortion in Prior Mammograms Using Gabor Filters, Phase Portraits, Fractal Dimension, and Texture Analysis”, International Journal of Computer Assisted Radiology and Surgery, DOI 10.1007/s11548-007-0143-z. 2(6): 347-361, April 2008. Correction: International Journal of Computer Assisted Radiology and Surgery, DOI 10.1007/s11548-010-0408-9. 5(4): 421-423, July 2010.

 

112. R.M. Rangayyan and Y.F. Wu, “Screening of Knee-joint Vibroarthrographic Signals Using Statistical Parameters and Radial Basis Functions”, Medical and Biological Engineering and Computing, DOI 10.1007/s11517-007-0278-7, 46(3):223–232, March 2008.

 

111. S. K. Kinoshita, P.M.  de Azevedo-Marques, R.R. Pereira Júnior, J.A.H. Rodrigues, and R.M. Rangayyan, “Radon-domain detection of the nipple and the pectoral muscle in mammograms”, DOI 10.1007/s10278-007-9035-6. Journal of Digital Imaging, 21(1): 37 – 49, March 2008.

 

110. L.A. Silva, E. del Moral Hernandez, and R.M. Rangayyan, “Classification of breast masses using a committee machine of artificial neural networks”, Journal of Electronic Imaging, 17(1), 013017:1-10, Jan.–Mar. 2008.

 

109. D. Guliato, R.M. Rangayyan, J. Daloia de Carvalho, S. A. Santiago, “Polygonal Modeling of Contours of Breast Tumors with the Preservation of Spicules”, IEEE Transactions on Biomedical Engineering, 10.1109/TBME.2007.899310, 55(1):14-20, January 2008.

 

108. T. Mu, A. K. Nandi, and R.M. Rangayyan, Analysis of Breast Tumors in Mammograms Using the Pairwise Rayleigh Quotient Classifier, Journal of Electronic Imaging, 16(4):043004:1-11, Oct.-Dec. 2007. DOI 10.1117/1.2803834.

                                                 

107. R.M. Rangayyan and T.M. Nguyen, “Fractal analysis of contours of breast masses in mammograms”, Journal of Digital Imaging, 20(3):223-237, Sept. 2007, DOI 10.1007/s10278-006-0860-9.

 

106. T. Mu, A. K. Nandi, and R.M. Rangayyan, Classification of Breast Masses via Nonlinear Transformation of Features Based on a Kernel Matrix”, Medical and Biological Engineering and Computing, 45(8): 769-780, August 2007. DOI 10.1007/s11517-007-0211-0.

                

105. S. K. Kinoshita, P.M.  de Azevedo-Marques, R.R. Pereira Júnior, J.A.H. Rodrigues, and R.M. Rangayyan,  Content-based retrieval of mammograms using visual features related to breast density patterns”,  Journal of Digital Imaging, 20(2): 172-190, June 2007. DOI 10.1007/s10278-007-9004-0.

 

104. R.M. Rangayyan, F.J. Ayres, and J.E.L. Desautels, “A review of computer-aided diagnosis of breast cancer: Toward the detection of early signs”, Journal of the Franklin Institute, doi:10.1016/j.jfranklin.2006.09.003, 344 (3-4) 312 – 348, May 2007.

 

103. R.H. Vu,  R.M. Rangayyan, H.J. Deglint, and G.S. Boag, “Segmentation and analysis of neuroblastoma”, Journal of the Franklin Institute, doi:10.1016/j.jfranklin.2006.11.002, 344(3-4): 257 – 284, May 2007.

 

102. F. J. Ayres and R.M. Rangayyan, “Design and performance analysis of oriented feature detectors”, Journal of Electronic Imaging, 16(2):023007:1-12, April 2007. DOI: 10.1117/1.2728751.

 

101. F. J. Ayres and R.M. Rangayyan, “Reduction of false positives in the detection of architectural distortion in mammograms by using a shape-constrained phase portrait model”, International Journal of Computer Assisted Radiology and Surgery, DOI 10.1007/s11548-007-0072-x, 1(6): 361 – 369, April 2007.

 

100. H.J. Deglint,  R.M. Rangayyan, F.J. Ayres, G.S. Boag, and M.K. Zuffo, “Three-dimensional segmentation of the tumor in computed tomographic images of neuroblastoma”, Journal of Digital Imaging, DOI 10.1007/10278-006-0769-3, 20(1): 72 – 87, March 2007. Also published as 20(3): 263 – 278, September 2007.

 

99. R.M. Rangayyan, R.J. Ferrari, and A.F. Frère, “Analysis of bilateral asymmetry in mammograms using directional, morphological, and density features”, Journal of Electronic Imaging, 16(1), 013003:1-12 (Jan–Mar) 2007.

 

98. R.M. Rangayyan and F.J. Ayres, “Detection of architectural distortion in mammograms using Gabor filters and phase portraits”, Medical and Biological Engineering and Computing, 44(10):883–894, Oct. 2006, DOI 10.1007/s11517-006-0088-3.

 

97. R.J. Nandi, A.K. Nandi, R.M. Rangayyan, and D. Scutt, “Classification of breast masses in mammograms using genetic programming and feature selection”, Medical and Biological Engineering and Computing, 44 (8): 683–694, Aug. 2006, DOI 10.1007/s11517-006-0077-6.

 

96. R.M. Rangayyan, H.J. Deglint, and G.S. Boag, “A method for the automatic extraction of the spinal canal in CT images”, Journal of Electronic Imaging, Jul. – Sep. 2006, Vol. 15, No. 3, Article 033007, pp 1 – 9.

 

95. Y. Sun, J. Suri, J.E.L. Desautels, and R.M. Rangayyan, “A new approach for breast skin-line estimation in mammograms”, Pattern Analysis and Applications, May 2006, 9(1): 34–47, DOI 10.1007/s10044-006-0023-0.

 

94. T.C.S.S. André and R.M. Rangayyan,  Classification of breast masses in mammograms using neural networks with shape, edge sharpness, and texture features”, Journal of Electronic Imaging, Jan. – Mar. 2006, Vol. 15, No. 1, Article 013019, pp 1 – 10. Erratum: 16(1), 019802:1 (Jan–Mar) 2007.

 

93. H. Alto, R.M. Rangayyan, and J.E.L. Desautels, “Content-based retrieval and analysis of mammographic masses”, Journal of Electronic Imaging, 2005, Vol. 14, No. 2, Article 023016, pp 1 – 17. Erratum: 16(1), 019801:1 (Jan–Mar) 2007.

 

92. F.J. Ayres and R.M. Rangayyan, “Characterization of architectural distortion in mammograms using orientation fields”, Invited Paper, IEEE Engineering in Medicine and Biology, January 2005, 24(1): 59 – 67.

 

91. R.J. Ferrari, R.M. Rangayyan, R.A. Borges, and A.F. Frère, "Segmentation of the fibro-glandular disc in mammograms via Gaussian mixture modelling", Medical and Biological Engineering and Computing, 42:378-387, 2004.

 

90. F.J. Ayres, M.K. Zuffo, R.M. Rangayyan, G.S. Boag, V. Odone Filho, and M. Valente, “Analysis of the tissue composition of the tumor mass in neuroblastoma using segmented CT images”, Medical and Biological Engineering and Computing, 42:366-377, 2004.

 

89. R.J. Ferrari, R.M. Rangayyan, J.E.L. Desautels, R.A. Borges, and A.F. Frère, "Identification of the breast boundary in mammograms using active contour models", Medical and Biological Engineering and Computing, 42: 201 – 208, 2004.

 

88. R.J. Ferrari, R.M. Rangayyan, J.E.L. Desautels, R.A. Borges, and A.F. Frère, "Automatic identification of the pectoral muscle in mammograms", IEEE Transactions on Medical Imaging, 23(2): 232-245, 2004.

 

87. H. Alto, R.M. Rangayyan, R.B. Paranjape, J.E.L. Desautels, and H. Bryant, An indexed atlas of digital mammograms for computer-aided diagnosis of breast cancer”, Annales des Télécommunications, 58(5-6):820-835, 2003.

 

86. D. Guliato, R.M. Rangayyan, W.A. Carnielli, J.A. Zuffo, and J.E.L. Desautels, 2003, "Fuzzy fusion operators to combine results of complementary medical image segmentation techniques", Journal of Electronic Imaging, 12(3): 379-389, July 2003.

 

85. D. Guliato, R.M. Rangayyan, W.A. Carnielli, J.A. Zuffo, and J.E.L. Desautels, 2003, "Segmentation of breast tumors in mammograms using fuzzy sets", Journal of Electronic Imaging, 12(3): 369-378, July 2003.

 

84.  R.D. Lopes and R.M. Rangayyan, 2002, “Three-dimensional region-based filters for noise removal in volumetric data”, IETE Journal of Research, India. 48(3&4): 325-332.

 

83. A.C.G. Martins and R.M. Rangayyan, 2002, “Texture element extraction via cepstral filtering in the Radon domain”, IETE Journal of Research, India. Invited Paper. 48(3&4): 143-150.

 

82. N.R. Mudigonda, R.M. Rangayyan, and J.E.L. Desautels, 2001, "Detection of breast masses in mammograms by density slicing and texture flow-field analysis", IEEE Transactions on Medical Imaging, 20(12):1215-1227.

 

81. S. Krishnan, R.M. Rangayyan, G.D. Bell, and C.B. Frank, 2001, "Auditory display of knee-joint vibration signals", Journal of the Acoustical Society of America, 110(6):3292-3304.

 

80. R.J. Ferrari, R.M. Rangayyan, J.E.L. Desautels, and A.F. Frère, 2001, "Analysis of asymmetry in mammograms via directional filtering with Gabor wavelets", IEEE Transactions on Medical Imaging, 20(9):953-964.

 

79. A.C.G. Martins, R.M. Rangayyan, and R.A. Ruschioni, 2001, "Auditory display and sonification of texture in images", Journal of Electronic Imaging, 10(3): 690-705.

 

78. C. Serrano, B. Acha, R.M. Rangayyan, and L.M. Roa, 2001, "Segmentation-based lossless compression of burn wound images", Journal of Electronic Imaging, 10(3): 720-726.

 

77. R.M. Rangayyan, H. Alto, D. Gavrilov, 2001, "Parallel implementation of the adaptive neighborhood contrast enhancement technique using histogram-based image partitioning" Journal of Electronic Imaging (Invited Paper), 10(3): 804-813.

 

76. R.M. Rangayyan and S. Krishnan, 2001, "Feature identification in the time-frequency plane by using the Hough-Radon transform", Pattern Recognition, 34:1147-1158.

 

75. V. Buzuloiu, M. Ciuc, R.M. Rangayyan, and C. Vertan, 2001, "Adaptive-neighborhood histogram equalization of color images", Journal of Electronic Imaging, 10(2): 445-459.

 

74. N.R. Mudigonda, R.M. Rangayyan, and J.E.L. Desautels, 2000, "Gradient and texture analysis for the classification of mammographic masses", IEEE Transactions on Medical Imaging, 19(10):1032-1043.

 

73. R.M. Rangayyan, N.R. Mudigonda, and J.E.L. Desautels, 2000, "Boundary modeling and shape analysis methods for classification of mammographic masses", Medical and Biological Engineering and Computing, 38(5):487-496.

 

72. M. Ciuc, R.M. Rangayyan, T. Zaharia, and V. Buzuloiu, 2000, "Filtering noise in color images using adaptive-neighborhood statistics", Journal of Electronic Imaging, 9(4):484-494.

 

71. S. Krishnan, R.M. Rangayyan, G.D. Bell, C.B. Frank, 2000, "Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology", IEEE Transactions on Biomedical Engineering, 47(6):773-783, June 2000.

 

70. S. Krishnan and R.M. Rangayyan, 2000, "Automatic denoising of knee joint vibration signals using adaptive time-frequency representations", Medical and Biological Engineering and Computing, 38(1):2-8, January 2000.