Please see the Google Scholar page for the updated list (last updated in 2023).
Graduate students and postdoctoral fellows at IMPACT are marked with an asterisk *.
Disclaimer: Posting of copies of papers is intended for educational purposes only and adherence to copyright laws is assumed.
2023:  
Journal Papers:  
171. A. Tehrani*, M. Ashikuzzaman*, H. Rivaz, Lateral Strain Imaging using Selfsupervised and Physically Inspired Constraints in Unsupervised Regularized Elastography. IEEE Trans. Medical Imaging (TMI), in press, IEEE Xplore , arXiv, Code 

170. S. Goudarzi*, J. Whyte, M. Boily, A. Towers, R. Kilgour, H. Rivaz, A Segmentation of Arm Ultrasound Images in Breast CancerRelated Lymphedema: A Database and Deep Learning Algorithm. IEEE Trans. Biomed. Eng. (TBME), IEEE Xplore 

169. S. Goudarzi*, A. Basarab, H. Rivaz, A Unifying Approach to Inverse Problems of Ultrasound Beamforming and Deconvolution. IEEE Trans. Comp. Imaging (TCI), IEEE Xplore, arXiv 

168. Jafarpisheh*, L. CastanedaMartinez, H Whitson, I. RosadoMendez (joint senior author), H. Rivaz, PhysicsInspired Regularized PulseEcho Quantitative Ultrasound: Efficient Optimization with ADMM, IEEE Trans. UFFC (TUFFC), in press 

167. N. Masoumi*, H. Rivaz, I. Hacihaliloglu, M. Ahmad, I. Reinertsen, Y. Xiao, The big bang of deep learning in ultrasoundguided surgery: a review. IEEE Trans. UFFC (TUFFC), IEEE Xplore, PDF 

166. M. Ashikuzzaman*, A. Tehrani*, H. Rivaz, Exploiting MechanicsBased Priors for Lateral Displacement Estimation in Ultrasound Elastography, IEEE Trans. Medical Imaging (TMI), 2023, in press, arXiv, IEEE Xplore, Code 

165. Belasso, C. J., Cai, Z., Bezgin, G., Pascoal, T., Stevenson, J., Rahmouni, N., C Tissot, F Lussier, P RosaNeto, JP Soucy, Rivaz, H. Benali, H., 

164. J Corban, N Karatzas, KY Zhao, A Babouras, S Bergeron, T Fevens, H Rivaz, PA Martineau, Using an Affordable Motion Capture System to Evaluate the Prognostic Value of Drop Vertical Jump Parameters for Noncontact ACL Injury, The American Journal of Sports Medicine, SageJournals 

163. A. J. Crooka, S. Masia, N. Naghdi, A. Roussaca, M. Rye, B. Rosenstein, H. Rivaz, M. Boily, M. Weber, M. Fortin, Comparison of multifidus muscle intramuscular fat by ultrasound echo intensity and fat water based MR images in individuals with chronic low back pain, Musculoskeletal Science Practice, Elsevier, PDF 

162. M. Aktar*, J. Reyes, D. Tampieri, H. Rivaz, Y. Xiao, M. Kersten, Deep Learning for Collateral Evaluation in Ischemic Stroke with Imbalanced Data. Springer IJCAR, 2023, Springer 

Conference Papers:  
161. A. Tehrani*, H. Rivaz, Infusing physically inspired known operators in deep models of ultrasound elastography MICCAI, Vancouver, 2023 (MICCAI Acceptance rate is ~30%) arXiv 

160. S Salari *, A Rasoulian, H Rivaz, Y Xiao, Towards multimodal anatomical landmark detection for ultrasoundguided brain tumor resection with contrastive learning MICCAI, Vancouver, 2023 (MICCAI Acceptance rate is ~30%) arXiv 

159. S Salari*, A Rasoulian, H Rivaz, Y Xiao, FocalErrorNet: Uncertaintyaware focal modulation network for intermodal registration error estimation in ultrasoundguided neurosurgery MICCAI, Vancouver, 2023 (MICCAI Acceptance rate is ~30%) arXiv 

158. M. Aktar*, H. Rivaz, M. Kersten, Y Xiao, VesselShot: Fewshot learning for cerebral blood vessel segmentation, MICCAI MLCN Workshop, Vancouver, 2023 arXiv 

157. Z. Qiu*, H. Rivaz, Y Xiao, Is visual explanation with GradCAM more reliability for deeper neural networks? a case study with automatic pneumothorax diagnosis MICCAI MLMI Workshop, Vancouver, 2023 arXiv 

156. P. Roshanzamir*, H. Rivaz, J Ahn, H Mirza, N Naghdi, M Anstruther, M Battie, M Fortin, Y Xiao, How interrater variability relates to aleatoric and epistemic uncertainty: a case study with deep learningbased paraspinal muscle segmentation MICCAI UNSURE Workshop, Vancouver, 2023 arXiv 

155. A. KZ Tehrani*, I. RosadeMendez, H. Rivaz, Homodyned kdistribution: parameter estimation and uncertainty quantification using bayesian neural networks IEEE International Symposium on Biomedical Imaging (ISBI), 2023 IEEE Xplore 

154. H. Asgariandehkordi*, S. Goudarzi, A. Basarab, H. Rivaz, Deep Ultrasound Denoising Using Diffusion Probabilistic Models IEEE IUS (International Ultrasound Symposium), 2023 arXiv 

153. M. Sharifzadeh*, H. Benali, H. Rivaz, FrequencySpace Prediction Filtering for Phase Aberration Correction in PlaneWave Ultrasound IEEE IUS (International Ultrasound Symposium), 2023 arXiv 

152. M. Sharifzadeh*, H. Benali, H. Rivaz, Robust RF Data Normalization for Deep Learning IEEE IUS (International Ultrasound Symposium), 2023 arXiv 

151. S Gharamaleki*, B. Helfield, H. Rivaz, DeformableDetection Transformer for Microbubble Localization in Ultrasound Localization Microscopy, IEEE IUS (International Ultrasound Symposium), 2023 arXiv 

150. A. KZ Tehrani*, I. RosadeMendez, H. Rivaz, Model Projected Statistical Features for Homodyned KDistribution Parameters Estimation, IEEE IUS (International Ultrasound Symposium), 2023 

149. S. Salari*, H. Rivaz, Y. Xiao, Dense Error Map Estimation for MRIUltrasound Registration in Brain Tumor Surgery Using Swin UNETR, IEEE IUS (International Ultrasound Symposium), 2023 arXiv 

148. A. K. Z. Tehrani* I. RosadoMendez, H. Whitson, H. Rivaz, A deep learning approach for patchless estimation of ultrasound quantitative parametric image with uncertainty measurement, SPIE Medical Imaging, 2023 arXiv 

147. S. Salari*, A. Mashhadia, M. Battie, M. Fortin, H. Rivaz, Y. Xiao, Uncertaintyaware transformer model for anatomical landmark detection in paraspinal muscle MRIs, SPIE Medical Imaging, 2023 Won Best Student Paper Award in Image Processing 

146. S. Goudarzi*, H. Rivaz, Deep ultrasound denoising without clean data, SPIE Medical Imaging, 2023 Finalist for the Robert F. Wagner All Conference Best Student Paper Award arXiv 

2022:  
Journal Papers:  
145. S. Goudarzi*, A. Basarab, H. Rivaz, Inverse Problem of Ultrasound Beamforming with DenoisingBased Regularized Solutions. IEEE Trans. UFFC (TUFFC), in press IEEE Xplore, arXiv, Code 

144. M. Sharifzadeh*, H. Benali, H. Rivaz, Investigating Shift Variance of Convolutional Neural Networks in Ultrasound Image Segmentation, IEEE Trans. UFFC (TUFFC), in press IEEE Xplore, arXiv, Code 

143. A. Pirhadi*, S. Salari*, M. Ahmad, H. Rivaz, Y. Xiao, Robust landmarkbased brain shift correction with a Siamese neural network in ultrasoundguided brain tumor resection. Springer IJCARS, 2022 Springer 

142. N. Masoumi*, H. Rivaz, M. Ahmad, Y. Xiao, DiffeoRaptor: Diffeomorphic Intermodal Image Registration using RaPTOR, Springer IJCARS, 2022 arXiv, Code 

141. S. Goudarzi*, H. Rivaz, Deep Reconstruction of HighQuality Ultrasound Images from Raw PlaneWave Data: A Simulation and In Vivo Study, Ultrasonics, in press arXiv, Code 

140. M. Ashikuzzaman*, T. J. Hall, H. Rivaz, Incorporating Gradient Similarity for Robust Time Delay Estimation in Ultrasound Elastography, IEEE Trans. UFFC (TUFFC), in press IEEE Xplore, arXiv, Code 

139. A. K. Z. Tehrani*, I RosadoMendez, H. Rivaz, Robust Scatterer Number Density Segmentation of Ultrasound Images, IEEE Trans. UFFC (TUFFC), in press IEEE Xplore, arXiv, Code 

138. M. Ashikuzzaman*, H. Rivaz, SecondOrder Ultrasound Elastography with L1norm Spatial Regularization, IEEE Trans. UFFC (TUFFC), in press IEEE Xplore, arXiv, Code 

137. A. K. Z. Tehrani*, M. Sharifzadeh*, E. Boctor, H. Rivaz, BiDirectional SemiSupervised Training of Convolutional Neural Networks for Ultrasound Elastography Displacement Estimation, IEEE Trans. UFFC (TUFFC), in press IEEE Xplore, arXiv, Code 

Conference Papers:  
136. A. Tehrani*, H. Rivaz, Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography, MICCAI, Singapore, 2022 (among the top 13% accepted before the rebuttal phase) arXiv 

135. M. Sharifzadeh*, H. Benali, H. Rivaz Segmentation of Intraoperative 3D Ultrasound Images Using a Pyramidal BlurPooled 2D UNet, MICCAI CuRIOUS, Singapore, 2022, pp 6975 Springer 

134. P. Roshanzamir*, H. Rivaz , Joshua Ahn, H Mirza, N Naghdi, M Anstruther, M Battie, M Fortin, Y Xiao, Joint paraspinal muscle segmentation and interrater labeling variability prediction with multitask TransUNet, MICCAI UNSURE Workshop, Singapore, 2022 Springer 

133. N. Jafarpisheh*, L. C. Martinez, H. Whitson, I. M. RosadoMendez, H. Rivaz, Adaptive Weighting Strategy in Regularized Quantitative Ultrasound, IEEE IUS 2022, Venice, Italy 

132. S. Gharamaleki*, B. Helfield, H. Rivaz, Transformerbased Microbubble Localization, IEEE IUS 2022, Venice, Italy arXiv 

131. H Whitson , N Jafarpisheh*, H. Rivaz, I RosadoMendez, T J. Hall, Comparative Performance of 1D and 2D Regularized Quantitative Ultrasound for Curvilinear Transducers in the Presence of Aberration Induced Clutte, IEEE IUS 2022, Venice, Italy 

130. M. Ashikuzzaman*, B. Helfield, H. Rivaz, Analytic Optimizationbased Microbubble Tracking in Ultrasound SuperResolution Microscopy, IEEE IUS 2022, Venice, Italy arXiv 

129. A. Tehrani*, I. M. RosadoMendez, H. Rivaz, Deep estimation of viscoelastic and backscatter quantitative ultrasound, 183rd Acoustical Society of America (ASA), Nashville (invited talk) arXiv 

128. A. Tehrani*, I M RosadoMendez, H. Rivaz, Deep Estimation of Speckle Statistics Parametric Images, IEEE EMBC, Glasgow, Scotland, 2022 arXiv 

127. B. Gheflati*, H. Rivaz, Vision Transformer for Classification of Breast Ultrasound Images, IEEE EMBC, Glasgow, Scotland, 2022 arXiv 

2021:  
Journal Papers:  
126. A. K. Z. Tehrani*, M. Amiri*, I. RosadoMendez, T. J. Hall, H. Rivaz, Ultrasound Scatterer Density Classification Using Convolutional Neural Networks and Patch Statistics, IEEE Trans. UFFC (TUFFC), in press pdf, supplementary material. 

125. M Ashikuzzaman*, N Jafarpisheh*, S Rottoo, P Brisson, H. Rivaz, Fast and Robust Localization of Surgical Array using Kalman Filter. International Journal of Computer Assisted Radiology and Surgery (Springer IJCARS), in press pdf. 

124. M. Ashikuzzaman*, A. S Naini, A. Samani, H. Rivaz, Combining First and Second Order Continuity Constraints in Ultrasound Elastography, IEEE Trans. UFFC (TUFFC), in press pdf, Supplementary Material. 

123. S. Goudarzi*, A. Asif, H. Rivaz, pdf. 

122. N. Masoumi*, C. Belasso, M. Ahmad, H. Benali, Y. Xiao, H. Rivaz, 

121. Y. Xiao, M. Fortin, J. Ahn, H. Rivaz, T. Peters, M. Battie, 

120. A. Thibault, M. Boily, H. Rivaz, D. Dragutan, P. Jarzem, M. Weber, M. Fortin, 

119. M. Mirzaei*, A. Asif, H. Rivaz, 

118. N. Jafarpisheh*, T. Hall, H. Rivaz (joint senior author), I. RosadoMendez, pdf. 

117. A. Zayed*, H. Rivaz, 

Conference Papers:  
116. H Rasaee*, H. Rivaz, Explainable AI and Susceptibility to Adversarial attacks: a Case Study in the Classification of Breast Ultrasound Images, IEEE International Ultrasonics Symposium (IUS), 2021. IEEE Xplore, arXiv 

115. M. Sharifzadeh*, H. Benali, H. Rivaz, An UltraFast Method for Simulation of Realistic Ultrasound Images, IEEE International Ultrasonics Symposium (IUS), 2021. IEEE Xplore, arXiv 

114. M. Sharifzadeh*, A. Tehrani, H. Benali, H. Rivaz, Ultrasound Domain Adaptation Using Frequency Domain Analysis, IEEE International Ultrasonics Symposium (IUS), 2021. IEEE Xplore, arXiv 

113. N. Jafarpisheh*, I. RosadoMendez, T. Hall, H. Rivaz, Estimation of the Scatterer Size Distributions in Quantitative Ultrasound Using Constrained Optimization, IEEE International Ultrasonics Symposium (IUS), 2021. IEEE Xplore, arXiv 

112. B. Behboodi*, H. Rivaz, S. Lalondrelle, E. Harris, Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning, IEEE International Ultrasonics Symposium (IUS), 2021. IEEE Xplore, arXiv 

111. M. Sharifzadeh*, H. Benali, H. Rivaz, Shiftinvariant segmentation in breast ultrasound images, IEEE International Ultrasonics Symposium (IUS), 2021. IEEE Xplore 

110. S. Goudarzi*, A. Asif, H. Rivaz, Pruning MobileNetV2 for Efficient Implementation of Minimum Variance Beamforming, MICCAI ASMUS Workshop, 2021 Springer link 

109. A. Pirhadi, H. Rivaz, O. Ahmad, Y. Xiao, Robust ultrasoundtoultrasound registration for intraoperative brain shift correction with a Siamese neural network, MICCAI ASMUS Workshop, 2021 Springer link 

108. M Ashikuzzaman*, N. Jafarpisheh*, S Rottoo, P Brisson, H. Rivaz, Fast and Robust Localization of Surgical Array using Kalman Filter, International Conference on Information Processing in ComputerAssisted Interventions (IPCAI), 2021, in press. pdf. 

107. N. Jafarpisheh*, I. M. RosadoMendez, T. J. Hall, H. Rivaz, Analytical Regularized Estimation of Effective Scatterer Diameter and Acoustic Concentration in Quantitative Ultrasound, IEEE ISBI, 2021, in press. 

106. A. Tehrani*, H. Rivaz, 

105. B. Behboodi*, H. Rasaee*, A. Tehrani*, H. Rivaz, 

2020:  
Journal Papers:  
104. S. Goudarzi*, A. Asif, and H. Rivaz, 

103. M. Amiri*, R. Brooks, H. Rivaz, 

102. M. Amiri*, R. Brooks, B. Behboodi*, H. Rivaz, pdf. 

101. A. Tehrani*, H. Rivaz, 

100. M. Sharifzadeh*, H. Benali, H. Rivaz, 

99. M. Aktar*, D. Tampieri, H. Rivaz, M. KerstenOertel, Y. Xiao, Automatic Collateral Circulation Scoring in Ischemic Stroke using 4D CT Angiography with LowRank and Sparse Matrix Decomposition, Springer IJCARS, in press, pdf. 

98. C. Belasso*, B. Behboodi, H. Benali, M. Boily, H. Rivaz, M. Fortin, LUMINOUS database: lumbar multifidus muscle segmentation from ultrasoun images, BMC Musculoskeletal Disorders, 2020, pdf. 

97. N. Zhang*, M. Ashikuzzaman*, H. Rivaz, Clutter Suppression in Ultrasound: Performance Evaluation and Review of LowRank and Sparse Matrix Decomposition Methods, Springer Biomedical Engineering Online, in press, pdf. 

96. M. Mirzaei*, A. Asif, M. Fortin, H. Rivaz, 

95. A. Roy, H. Rivaz, A Rizk, S Frenette, M Boily, M Fortin, pdf. 

94. A. Grimwood, H. Rivaz, H Zhou H McNair, K Yakubowski, J Bamber, A Tree, E Harris, 

93. N Nandlall, H. Rivaz, A Rizk, S Frenette, M Boily, M Fortin The effect of low back pain and lower limb injury on lumbar multifidus muscle morphology and function in university soccer players, BMC Musculoskeletal Disorders, in press, pdf. 

92. M Ashikuzzaman*, C Belasso*, G Kibria*, A Bergdahl, C Gauthier, H. Rivaz, 

91. A. Schyver, H. Rivaz, A Rizk, S Frenette, M Boily, M Fortin 

90. M. Mirzaei*, A. Asif, M. Fortin, H. Rivaz, 

89. J Levesque, H. Rivaz, A Rizk, S Frenette, M Boily, M Fortin Associations among lumbar multifidus muscle characteristics, body composition and injury in university rugby players, Journal of Athletic Training, in press, pdf. 

88. Y Xiao, H. Rivaz, M Chabanas, M Fortin, I Machado, Y Ou, M Heinrich, J Schnabel, X Zhong, A Maier, W Wein, R Shams, S Kadoury, D Drobny, M Modat, I Reinertsen, 

Conference Papers:  
87. A. Tehrani*, M. Mirzaei*, H. Rivaz, SemiSupervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography, MICCAI, 2020, in press, pdf. 

86. N. Jafarpisheh*, I. M. RosadoMendez, T. J. Hall, H. Rivaz, Evaluation of ContrasttoNoise Ratio of Parametric Images of Regularized Estimates of Quantitative Ultrasound Parameters, IEEE IUS, 2020, in press. 

85. S. Goudarzi*, A. Asif, H. Rivaz, Ultrasound Beamforming using MobileNetV2, IEEE IUS, 2020, in press. 

84. S. Goudarzi*, A. Asif, H. Rivaz, Angular Apodization Estimation Using Independent Component Analysis in Coherent Plane Wave Compounding, IEEE IUS, 2020, in press. 

83. M. Ashikuzzaman*, T. Hall, H. Rivaz, Adaptive Data Function for Robust Ultrasound Elastography, IEEE IUS, 2020, in press. 

82. P. Chalangari*, T. Fevens, H. Rivaz, 3D Human Knee Flexion Angle Estimation Using Deep Convolutional Neural Networks, IEEE EMBC, 2020, in press. 

81. M. Aktar*, Y. Xiao, D Tampieri, H. Rivaz, M. KerstenOertel, Radiomicsbased Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Noncontrast Computed Tomography, MICCAI CLIP Workshop, 2020, in press. 

80. A. KZ. Tehrani*, M. Amiri*, I. RosadoMendez, T.J. Hall, H. Rivaz, A Pilot Study on Scatterer Density Classification of Ultrasound Images Using Deep Neural Networks, IEEE EMBC, 2020, in press. 

79. M. Mirzaei*, A. Asif, H. Rivaz, Synthetic aperture with high lateral sampling frequency for ultrasound elastography, IEEE EMBC, 2020, in press. 

78. A. KZ. Tehrani*, M. Amiri*, H. Rivaz, Realtime and High Quality Ultrasound Elastography Using Convolutional Neural Network by Incorporating Analytic Signal, IEEE EMBC, 2020, in press. 

77. B. Behboodi*, M. Fortin, C. J.Belasso*, R. Brooks, H. Rivaz, Receptive Field Size as a Key Design Parameter for Ultrasound Image Segmentation with UNet, IEEE EMBC, 2020, in press. 

76. M. Amiri*, A. KZ. Tehrani*, H. Rivaz, Segmentation of Ultrasound Images based on Scatterer Density using UNet, IEEE EMBC, 2020, in press. 

75. A. Zayed*, G. Cloutier, H. Rivaz, Automatic Frame Selection using CNN in Ultrasound Elastography, IEEE EMBC, 2020, in press. 

74. M. Ashikuzzaman*, H. Rivaz, Incorporating Multiple Observations in Global Ultrasound Elastography, IEEE EMBC, 2020, in press. 

73. M. Ashikuzzaman*, H. Rivaz, Denoising RF Data via Robust Principal Component Analysis: Results in Ultrasound Elastography, IEEE EMBC, 2020, in press. 

72. N. Kheirkhah, H. Rivaz, A. Samani, and A. SadeghiNaini, A Tissue Mechanics Based Method to Improve Tissue Displacement Estimation in Ultrasound Elastography, IEEE EMBC, 2020, in press. 

71. N. Jafarpisheh*, I. M. RosadoMendez, T. J. Hall, H. Rivaz, Regularized Estimation of Effective Scatterer Size and Acoustic Concentration Quantitative Ultrasound Parameters Using Dynamic Programming, IEEE EMBC, 2020, in press. 

70. S. Goudarzi*, A. Asif, H. Rivaz, High Frequency Ultrasound Image Recovery Using Tight Frame Generative Adversarial Networks, IEEE EMBC, 2020, in press. 

69. B. Behboodi*, M. Amiri*, R. Brooks, H. Rivaz, Breast lesion segmentation in ultrasound images with limited annotation data, IEEE ISBI 2020, pp 18341837, pdf. 

2019:  
Journal Papers:  
68. M. Mirzaei*, A. Asif, H. Rivaz, 

67. M. Ashikuzzaman*, C.J. Gauthier, H. Rivaz, 

66. M. Fortin, A Rizk, S Frenette, M Boily, H. Rivaz, 

65. M.D. Horeh*, A. Asif, H. Rivaz, 

64. N. Masoumi*, Y. Xiao*, H. Rivaz, 

63. HS Hashemi*, S Fallone, M Boily, A Towers, RD Kilgour, H. Rivaz, 

Conference Papers:  
62. M. Amiri*, R. Brooks, H. Rivaz, Fine tuning UNet for ultrasound image segmentation: which layers?, MICCAI MIL3ID Workshop, 2019, in press, pdf. 

61. W Xia, M Fortin, J Ahn, H. Rivaz, M Battie, T Peters, and Y Xiao, Automatic paraspinal muscle segmentation in patients with lumbar pathology using deep convolutional neural network, MICCAI 2019, in press 

60. A. Zayed*, H. Rivaz, Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography, ICIAR, Springer, Cham, 2019, pp 462472 

59. B. Behboodi*, H. Rivaz, Ultrasound segmentation using UNet: learning from simulated data and testing on real data, IEEE EMBC, pp 66286631 IEEE Xplore 

58. A. Zayed*, H. Rivaz, Fast Approximate TimeDelay Estimation in Ultrasound Elastography Using Principal Component Analysis, IEEE EMBC, pp. 62046207 IEEE Xplore 

57. S. Goudarzi*, A. Asif, H. Rivaz, Multifocus ultrasound imaging using generative adversarial networks, IEEE ISBI 2019, pp. 11181121 

56. Z. Vajihi*, I. RosadoMendez, T.J. Hall, H. Rivaz, L1 and L2 Norm Regularization of Acoustic Attenuation And Backscatter Coefficients Using Dynamic Programming, IEEE ISBI 2019, pp. 17491752 

55. M. Ashikuzzaman*, C Belasso, C Gauthier, H. Rivaz, Suppressing Clutter Components in Ultrasound Color Flow Imaging Using Robust Matrix Completion Algorithms: Simulation and Phantom Study, IEEE ISBI 2019, pp. 745749 

54. M. Mirzaei*, A. Asif, H. Rivaz, Ultrasound elastography utilizing prebeamformed data, IEEE ISBI 2019, pp. 17251728 

2018:  
Journal Papers:  
53. Z. Vajihi*, I. RosadoMendez, T.J. Hall, H. Rivaz, Low Variance Estimation of Backscatter Quantitative Ultrasound Parameters Using Dynamic Programming, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), vol 65, Nov 2018, pp 20422053, IEEE Xplore, pdf. 

52. R Shams*, Y Xiao*, F Hebert, M Abramowitz, R Brooks, H Rivaz, Assessment of Rigid Registration Quality Measures in UltrasoundGuided Radiotherapy, IEEE Trans. Medical Imaging, 2018, vol 37, pp 428437 IEEE Xplore, pdf. 

51. M. Ghasemi Amidabadi*, M. Omair Ahmad, H. Rivaz, Supervised Classification of the Accuracy of the Time Delay Estimation in Ultrasound Elastography, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), 2018, vol 65, pp 2129 IEEE Xplore, pdf. 

50. P Khavari*, A Asif, M Boily,H. Rivaz, NonLocal Coherent Denoising Of RF Data For Ultrasound Elastography, Journal of Healthcare Engineering, (Impact factor 0.97, invited manuscript), 2018 pdf. 

49. Y Xiao*, M Fortin*, M Battie, H. Rivaz, Populationaveraged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles, European Spine Journal, 2018, Vol 27, Issue 10, pp 24422448 Springer, pdf. 

48. Y. Xiao*, M. Boily, H. S. Hashemi, H. Rivaz, HighDynamicRange Ultrasound: Application for Imaging Tendon Pathology, Ultrasound in Medicine and Biology (UMB), 2018, Vol 44, Issue 7, Pages 15251532 sciencedirect, pdf. 

47. Y. Xiao*, L. Eikenes, I. Reinertsen, H. Rivaz, Nonlinear deformation of tractography in ultrasoundguided lowgrade gliomas resection, International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2018, Vol 13, Issue 3, pp 457467 Springer, pdf. 

46. Y Xiao*, H Rivaz, H Kasuya, S Yokosako, C Mindru, J Teitelbaum, D Sirhan, D Sinclair, M Angle, B Lo, Intraoperative video characterization of carotid artery pulsation patterns in case series with post endarterectomy hypertension and hyperperfusion syndrome, Translational Stroke Research, Vol 9, Issue 5, pp 452458 Springer, pdf. 

Conference Papers:  
45. G. Kibria*, H. Rivaz, Global Ultrasound Elastography Using Convolutional Neural Network, MICCAI POCUS 2018, pp 2128 Springer, pdf, short version on arXiv. 

44. P. Khavari*, A. Asif, H. Rivaz, Nonlocal Super Resolution in Ultrasound Imaging, IEEE MMSP 2018 In press, pdf. 

43. H. S. Hashemi*, S. Fallone, M. Boily, A. Towers, R. Kilgour, H. Rivaz, 

42. H. Khodadadi*, A. Aghdam, H. Rivaz, Direct Strain Estimation in Ultrasound Elastography Using A Novel Dynamic Programming Approach, IEEE ISBI 2018, pp 11821186 IEEE Xplore, pdf. 

2017:  
Journal Papers:  
41. H. Hashemi*, H. Rivaz, Global TimeDelay Estimation in Ultrasound Elastography, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), Oct. 2017, vol 64, pp 16251636, (Among Editor’s Selection of Articles in TUFFC in 2017, Dec 2018) IEEE Xplore, pdf, code 

40. M. Omidyeganeh*, Y. Xiao*, M. O. Ahmad, H. Rivaz, Estimation of Strain Elastography from Ultrasound RadioFrequency Data by Utilizing Analytic Gradient of the Similarity Metric, IEEE Trans. Medical Imaging, 2017, vol 36, pp 13471358 IEEE Xplore, pdf. 

39. S. R. Mousavi, H. Rivaz, A. SadeghiNaini, G. Czarnota, A. Samani, Breast Ultrasound Elastography using Full Inversion Based Elastic Modulus Reconstruction, IEEE Trans. Computational Imaging, 2017, vol 3, pp 774782 IEEE Xplore, pdf. 

38. Y. Xiao*, M. Fortin*, G. Unsgard, H. Rivaz, I. Reinertsen, REtroSpective Evaluation of Cerebral Tumors (RESECT): a clinical database of preoperative MRI and intraoperative ultrasound in lowgrade glioma surgeries, Medical Physics, 2017, vol 44, pp 38753882 MedPhys, pdf, Ultrasound, MRI and landmarks, Direct Link. 

37. S. R. Mousavi, H. Rivaz, G. Czarnota, A. Samani, A. SadeghiNaini, Ultrasound Elastography of Prostate Using an Unconstrained Modulus Reconstruction Technique: A Pilot Clinical Study, Translational Oncology, 2017, vol 10, pp 744751 Translational Oncology, pdf. 

36. M. Fortin*, M. Omidyeganeh*, M. O. Ahmad, M. CritesBattie, H. Rivaz, Evaluation of an automated thresholding algorithm for the quantification of paraspinal muscle composition from MRI images, Springer BioMedical Engineering Online, 2017 22;16(1):61. pdf, Springer, Code and instructions. 

Conference Papers:  
35. N. Masoumi*, Y. Xiao*, H. Rivaz, MARCEL (interModality Affine Registration with CorELation ratio): An Application for Brain Shift Correction in UltrasoundGuided Brain Tumor Resection, BrainLes MICCAI workshop, Springer LNCS, 2018, pp 5563 Springer, pdf. 

34. Y. Xiao*, A. Alamer V. Fonov, B. Lo, D Tampieri, D.L. Collins, H. Rivaz M. KerstenOertl, Towards automatic collateral circulation score evaluation in ischemic stroke using image decompositions and support vector machines, Switch 2017 MICCAI workshop , pp 158167 Springer, pdf. 

33. Y. Xiao*, D. De Nigris, I. Gerard, Y. Ma, D Tampieri, D.L. Collins, H. Rivaz, Automatic registration of MRI and transcranial ultrasound for the analysis of neurological disorders, ISMRM 2017 ISMRM. pdf. 

32. M.G. Amidabadi*, M.O. Ahmad, H. Rivaz, Automatic Accuracy Assessment of Ultrasound Elastography Using Correlation Profile and Prior Information of Displacement Continuity, IEEE GlobalSIP 2017, pp 755759 IEEE GlobalSIP, pdf. 

31. M. D. Horeh*, A. Asif, H. Rivaz, Regularized Tracking of ShearWave in Ultrasound Elastography, The 42nd IEEE Int. Conference on Acoustic, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017, pp 62646268 IEEE Xplore, pdf. 

30. H. Hashemi*, M. Boily, P. Martineau H. Rivaz, Ultrasound Elastography: Efficient Estimation of Tissue Displacement Using an Affine Transformation Model, SPIE Medical Imaging, Orlando, FL, 2017 Proc. SPIE 10139, pdf. 

2016:  
29. H. Zhou*, H. Rivaz, Registration of Pre and Postresection Ultrasound Volumes with Noncorresponding Regions in Neurosurgery, IEEE Journal Biomedical Health Informatics JBHI, 2016, vol 20, pp 12401249 (selected for submission of full paper to IEEE JBHI, only 10 selections out of 2948 submissions to EMBC) IEEE Xplore, pdf, supplementary material. 

28. Shams, R.*, Boily, M., Martineau, PA., Rivaz, H., Dynamic Programming on a Tree for Ultrasound Elastography, SPIE Medical Imaging, San Diego, 2016, vol 9790 (Finalist for a Robert F. Wagner All Conference Best Student Paper Award) SPIE Digital Lib, pdf 

2015:  
Journal Papers:  
27. H. Rivaz, Chen, S, Collins, DL., Automatic Deformable MRUltrasound Registration for ImageGuided Neurosurgery, IEEE Trans. Medical Imaging, 2015, vol 34, pp 366380 (IEEE Xplore), pdf. 

26. H. Rivaz, Collins, DL., Deformable Registration of PreOperative MR, PreResection Ultrasound and PostResection Ultrasound Images of Neurosurgery, International Journal of Computer Assisted Radiology and Surgery, 2015, vol 10, pp 10171028 Springer, pdf. 

25. H. Rivaz, Collins, DL., Near RealTime Robust Nonrigid Registration of Volumetric Ultrasound Images For Neurosurgery, Ultrasound in Medicine and Biology, 2015, vol 41, pp 574587 ScienceDirect, pdf. 

24. Karimaghaloo, Z, H. Rivaz, Arnold, D, Collins, DL. Arbel, T, Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of GadoliniumEnhancing Multiple Sclerosis Lesions in Brain MRI, IEEE Trans. Medical Imaging, 2015, vol 34, pp 12271241 IEEE Xplore, pdf. 

Conference Papers:  
23. H. Zhou*, H. Rivaz, Robust Deformable Registration of Pre and Postresection Ultrasound Volumes for Visualization of Residual Tumor in Neurosurgery, IEEE EMBC, 2015, pp 141 – 144, (selected for submission of full paper to IEEE JBHI, only 10 selections out of 2948 submissions to EMBC) IEEE Xplore, pdf. 

22. H. Khodadadi*, A. Aghdam, H. Rivaz, EdgePreserving Ultrasonic Strain Imaging with Uniform Precision, IEEE EMBC, 2015, pp 3835 – 3838IEEE Xplore, pdf. 

2014:  
Journal Papers:  
21. H. Rivaz, Karimaghaloo, Z, Fonov, V, Collins, DL., Nonrigid Registration of Ultrasound and MRI Using Contextual Conditioned Mutual Information, IEEE Trans. Medical Imaging, 2014, vol. 33 pp 708725 (IEEE Xplore), pdf.  
20. H. Rivaz, Karimaghaloo, Z, Collins, DL., SelfSimilarity Weighted Mutual Information: a New Nonrigid Image Registration Metric, Medical Image Analysis, 2014, vol. 18 pp 343358 (ScienceDirect), pdf. 

19. H. Rivaz, Boctor, E., Choti, M., Hager, G., Ultrasound Elastography Using Multiple Images, Medical Image Analysis, February 2014, vol. 18 pp 314329 (ScienceDirect), pdf. 

Conference Papers:  
18. H. Rivaz, Collins, DL., Simulation of Ultrasound Images for Validation of MR to Ultrasound Registration in Neurosurgery, AECAI MICCAI, 2014 pp 2332 (Springer LNCS), pdf. 

Before 2014:  
17. Karimaghaloo, Z., Rivaz, H., Arnold, D., Collins, DL, Arbel, T, Adaptive Voxel, Texture and Temporal CRF for Detection of MS Lesions in Brain MRI, MICCAI, Nagoya, Japan, Sept. 2013 pp 543550 [Acceptance rate: 32%] pdf.  
16. Rivaz, H., Collins, D.L., SelfSimilarity Weighted Mutual Information: a New Nonrigid Image Registration Metric, Medical Image Computing and Computer Assisted Intervention, MICCAI, Oct 2012, pp 9198 [Acceptance rate: 30%]. pdf.  
15. Rivaz, H, Boctor, E., Choti, M., Hager, G., RealTime Regularized Ultrasound Elastography, IEEE Trans. Medical Imaging, April 2011, vol. 30 pp 928945 pdf Code.  
14. Rivaz, H., Boctor, E., Foroughi, P., Zellars, R., Fichtinger, G., Hager, G., Ultrasound Elastography: a Dynamic Programming Approach, IEEE Trans. Medical Imaging, Oct. 2008, vol. 27 pp 13731377 pdf Code.  
13. Rivaz, H., Boctor, E., Choti, M., Hager, G., Ultrasound Elastography Using Three Images, Medical Image Computing and Computer Assisted Intervention, MICCAI, Toronto, Canada, Sept. 2011, pp 371378 [Acceptance rate: 30%] pdf Code.  
12. Foroughi, P., Rivaz, H., Fleming, I., Hager, G., Boctor, E. Tracked Ultrasound Elastography (TrUE), Medical Image Computing and Computer Assisted Intervention, MICCAI, Beijing, China, Sept. 2010, pp 916 [Acceptance rate: 32%] pdf.  
11. Rivaz, H., Kang, H., Stolka, P., G. Hager, Boctor, E. Novel reconstruction and feature exploitation techniques for sensorless freehand 3D ultrasound, SPIE Medical Imaging, 2010, pp 762911762919 pdf.  
10. Rivaz, H., Kapoor, A., Fleming, I., Hager, G., Boctor, E. A novel method for monitoring liver ablation using ultrasound elastography, SPIE Medical Imaging, 2010, 76291317629138 pdf.  
9. Rivaz, H., Foroughi, P., Fleming, I., Zellars, R., Boctor, E., Hager, G., Tracked Regularized Ultrasound Elastography for Targeting Breast Radiotherapy, Medical Image Computing and Computer Assisted Intervention, MICCAI, London, UK, Sept. 2009, pp 507515 [Acceptance rate: 33%] pdf.  
8. Rivaz, H., Shinagawa, Y., Liang, J., Physical Priors in Virtual Colonoscopy, SPIE Medical Imaging 2009, pp 726019172601912 pdf.  
7. Rivaz, H., Fleming, I., Assumpcao, L., Fichtinger, G., Hamper, U., Choti, M., Hager, G., Boctor, E., Ablation Monitoring with Elastography: 2D Invivo and 3D Exvivo Studies, Medical Image Computing and Computer Assisted Intervention, MICCAI, New York, NY, Sept. 2008, pp 458466 [Acceptance rate: 30%] pdf.  
6. Rivaz, H., Fleming, L., Matinfar, M, Ahmad, O, Kamen, A, Choti, M, Hager, G., Boctor, E. Ablation Monitoring with a Regularized 3D Elastography Technique, IEEE Int. Ultrasonics Symposium, Beijing, China, Oct. 2008, pp 308312 pdf.  
5. Rivaz, H., Rohling, R., An Active Dynamic Vibration Absorber for a HandHeld VibroElastography Probe, ASME Journal of Vibration Acoustics pdf.  
4. Rivaz, H., Zellars, R., Hager, G. Fichtinger, G., Boctor, E., Beam Steering Approach to Speckle Characterization and OutofPlane Motion Estimation in Real Tissue, IEEE Int. Ultrasonics Symposium, New York, NY, Oct. 2007 pp 781784 pdf.  
3. Rivaz, H., Boctor, E., Fichtinger, G., A Robust Meshing and Calibration Approach for Sensorless Freehand 3D Ultrasound, SPIE Medical Imaging, San Diego, CA, Feb. 2007, Vol. 6513, pp 181188 pdf.  
2. Rivaz, H., Rohling, R., A HandHeld Probe for VibroElastography, Medical Image Computing and Computer Assisted Intervention, MICCAI, 2006, pp 613620 pdf.  
1. Rivaz, H., Boctor, E., Fichtinger, G., Ultrasound Speckle Detection using Low Order Statistics, IEEE Int. Ultrasonics Symposium, Vancouver, Canada, Oct. 2006, pp 20922095 pdf. 