Publications – IMPACT Laboratory

Please see the Google Scholar page for the updated list (last updated in 2023).

Graduate students and post-doctoral 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 Self-supervised 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 Cancer-Related 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. Castaneda-Martinez, H Whitson, I. Rosado-Mendez (joint senior author), H. Rivaz, Physics-Inspired Regularized Pulse-Echo 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 ultrasound-guided surgery: a review. IEEE Trans. UFFC (TUFFC), IEEE Xplore, PDF
	166. M. Ashikuzzaman, A. Tehrani, H. Rivaz, Exploiting Mechanics-Based 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 Rosa-Neto, JP Soucy, Rivaz, H. Benali, H., Bayesian workflow for the investigation of hierarchical classification models from tau-PET and structural MRI data across the Alzheimer disease spectrum, Frontiers in Aging, 2023, PDF
	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 multi-modal anatomical landmark detection for ultrasound-guided 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: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery MICCAI, Vancouver, 2023 (MICCAI Acceptance rate is ~30%)* arXiv
	158. M. Aktar*, H. Rivaz, M. Kersten, Y Xiao, VesselShot: Few-shot learning for cerebral blood vessel segmentation, MICCAI MLCN Workshop, Vancouver, 2023 arXiv
	157. Z. Qiu*, H. Rivaz, Y Xiao, Is visual explanation with Grad-CAM 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 inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation MICCAI UNSURE Workshop, Vancouver, 2023 arXiv
	155. A. KZ Tehrani*, I. Rosade-Mendez, H. Rivaz, Homodyned k-distribution: 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, Frequency-Space Prediction Filtering for Phase Aberration Correction in Plane-Wave 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, Deformable-Detection Transformer for Microbubble Localization in Ultrasound Localization Microscopy, IEEE IUS (International Ultrasound Symposium), 2023 arXiv
	150. A. KZ Tehrani*, I. Rosade-Mendez, H. Rivaz, Model Projected Statistical Features for Homodyned K-Distribution Parameters Estimation, IEEE IUS (International Ultrasound Symposium), 2023
	149. S. Salari*, H. Rivaz, Y. Xiao, Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR, IEEE IUS (International Ultrasound Symposium), 2023 arXiv
	148. A. K. Z. Tehrani* I. Rosado-Mendez, 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, Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs, SPIE Medical Imaging, 2023 Won Best Student Paper Award in Image Processing* PDF
	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 Denoising-Based 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 landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection. Springer IJCARS, 2022 Springer
	142. N. Masoumi, H. Rivaz*, M. Ahmad, Y. Xiao, DiffeoRaptor: Diffeomorphic Inter-modal Image Registration using RaPTOR, Springer IJCARS, 2022 arXiv, Code
	141. S. Goudarzi, H. Rivaz*, Deep Reconstruction of High-Quality Ultrasound Images from Raw Plane-Wave 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 Rosado-Mendez, 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*, Second-Order Ultrasound Elastography with L1-norm Spatial Regularization, IEEE Trans. UFFC (TUFFC), in press IEEE Xplore, arXiv, Code
	137. A. K. Z. Tehrani, M. Sharifzadeh, E. Boctor, H. Rivaz, Bi-Directional Semi-Supervised 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 Blur-Pooled 2D U-Net, MICCAI CuRIOUS, Singapore, 2022, pp 69-75 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 inter-rater labeling variability prediction with multi-task TransUNet, MICCAI UNSURE Workshop, Singapore, 2022 Springer
	133. N. Jafarpisheh, L. C. Martinez, H. Whitson, I. M. Rosado-Mendez, H. Rivaz*, Adaptive Weighting Strategy in Regularized Quantitative Ultrasound, IEEE IUS 2022, Venice, Italy
	132. S. Gharamaleki, B. Helfield, H. Rivaz*, Transformer-based Microbubble Localization, IEEE IUS 2022, Venice, Italy arXiv
	131. H Whitson , N Jafarpisheh, H. Rivaz*, I Rosado-Mendez, 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 Optimization-based Microbubble Tracking in Ultrasound Super-Resolution Microscopy, IEEE IUS 2022, Venice, Italy arXiv
	129. A. Tehrani, I. M. Rosado-Mendez, 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 Rosado-Mendez, 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. Rosado-Mendez, 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*, Plane-Wave Ultrasound Beamforming Through Independent Component Analysis, Computer Methods and Programs in Biomedicine, in press pdf.
	122. N. Masoumi, C. Belasso, M. Ahmad, H. Benali, Y. Xiao, H. Rivaz*, Multi-modal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms, Springer IJCARS, in press pdf.
	121. Y. Xiao, M. Fortin, J. Ahn, H. Rivaz, T. Peters, M. Battie, Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation, Nature Scientific Reports, in press pdf.
	120. A. Thibault, M. Boily, H. Rivaz, D. Dragutan, P. Jarzem, M. Weber, M. Fortin, Rehabilitation of a patient following Lumbar Total Disc Replacement with a Focus on Lumbar Multifidus Morphology and Function: A Case Report and Review of the Literature, Journal of Orthopaedic & Sports Physical Therapy, in press pdf.
	119. M. Mirzaei, A. Asif, H. Rivaz*, Virtual Source Synthetic Aperture for Accurate Lateral Displacement Estimation in Ultrasound Elastography, IEEE Trans. UFFC (TUFFC), in press pdf, IEEE Explore.
	118. N. Jafarpisheh, T. Hall, H. Rivaz* (joint senior author), I. Rosado-Mendez, Analytic Global Regularized Backscatter Quantitative Ultrasound, IEEE Trans. UFFC (TUFFC), in press pdf.
	117. A. Zayed, H. Rivaz*, Fast Strain Estimation and Frame Selection in Ultrasound Elastography using Machine Learning, IEEE Trans. UFFC (TUFFC), in press pdf, Supplementary Material, Code.
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 Ultra-Fast 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. Rosado-Mendez, 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*, Shift-invariant 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 ultrasound-to-ultrasound registration for intra-operative 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 Computer-Assisted Interventions (IPCAI), 2021, in press. pdf.
	107. N. Jafarpisheh, I. M. Rosado-Mendez, 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, MPWC-Net++: Evolution of Optical Flow Pyramidal Convolutional Neural Network for Ultrasound Elastography, SPIE Medical Imaging, 2021, in press (Finalist for a Robert F. Wagner All Conference Best Student Paper Award)* pdf.
	105. B. Behboodi, H. Rasaee, A. Tehrani, H. Rivaz, Deep classification of breast cancer in ultrasound images: more classes, better results with multi-task learning, SPIE Medical Imaging, 2021, in press (Finalist for a Robert F. Wagner All Conference Best Student Paper Award)* pdf.
2020:
Journal Papers:
	104. S. Goudarzi, A. Asif, and H. Rivaz*, Fast Multi-Focus Ultrasound Image Recovery Using Generative Adversarial Networks, IEEE Trans. Comput. Imag. (TCI), 2020, in press pdf, Supplementary Material.
	103. M. Amiri, R. Brooks, H. Rivaz*, Fine-tuning U-Net for ultrasound image segmentation: different layers, different outcomes, IEEE Trans. UFFC (TUFFC), Special Issue on Deep Learning, in press pdf, Supplementary Material.
	102. M. Amiri, R. Brooks, B. Behboodi, H. Rivaz, Two-stage ultrasound image segmentation using U-Net and test time augmentation, Springer IJCARS, in press pdf.
	101. A. Tehrani, H. Rivaz*, Displacement Estimation in Ultrasound Elastography using Pyramidal Convolutional Neural Network, IEEE Trans. UFFC (TUFFC), Special Issue on Deep Learning, in press pdf, Supplementary Material, Code, data.
	100. M. Sharifzadeh, H. Benali, H. Rivaz*, Phase Aberration Correction: A Convolutional Neural Network Approach, IEEE Access, vol. 8, pp. 162252-162260, 2020 Full Paper.
	99. M. Aktar, D. Tampieri, H. Rivaz*, M. Kersten-Oertel, Y. Xiao, Automatic Collateral Circulation Scoring in Ischemic Stroke using 4D CT Angiography with Low-Rank 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 Low-Rank and Sparse Matrix Decomposition Methods, Springer Biomedical Engineering Online, in press, pdf.
	96. M. Mirzaei, A. Asif, M. Fortin, H. Rivaz*, Accurate and Precise Time-Delay Estimation for Ultrasound Elastography with Pre-Beamformed Channel Data, IEEE Trans. UFFC (TUFFC), in press pdf, Code.
	95. A. Roy, H. Rivaz, A Rizk, S Frenette, M Boily, M Fortin, Seasonal Changes in Lumbar Multifidus Muscle in University Rugby Players, Medicine & Science in Sports & Exercise, in press. pdf.
	94. A. Grimwood, H. Rivaz, H Zhou H McNair, K Yakubowski, J Bamber, A Tree, E Harris, Improving 3D ultrasound prostate localisation in radiotherapy through increased automation of interfraction matching, adiotherapy and Oncology, in press pdf, Elsevier.
	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*, Low Rank and Sparse Decomposition of Ultrasound Color Flow Images for Suppressing Clutter in Real-Time, IEEE Trans. Medical Imaging (TMI), in press IEEE Xplore, pdf, Supplementary Material, Code.
	91. A. Schyver, H. Rivaz, A Rizk, S Frenette, M Boily, M Fortin Ultrasonography of Lumbar Multifidus Muscle in University American Football Players, Medicine and science in sports and exercise, in press, PubMed, pdf.
	90. M. Mirzaei, A. Asif, M. Fortin, H. Rivaz*, 3D normalized cross-correlation for estimation of the displacement field in ultrasound elastography, Ultrasonics, in press ScienceDirect, pdf, Supplementary Material, Code.
	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, Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge, IEEE Trans. Medical Imaging (TMI), in press. IEEE Xplore, pdf.
Conference Papers:
	87. A. Tehrani, M. Mirzaei, H. Rivaz, Semi-Supervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography, MICCAI, 2020, in press, pdf.
	86. N. Jafarpisheh, I. M. Rosado-Mendez, T. J. Hall, H. Rivaz*, Evaluation of Contrast-to-Noise 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. Kersten-Oertel, Radiomics-based Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Non-contrast Computed Tomography, MICCAI CLIP Workshop, 2020, in press.
	80. A. KZ. Tehrani, M. Amiri, I. Rosado-Mendez, 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, Real-time 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 U-Net, IEEE EMBC, 2020, in press.
	76. M. Amiri, A. KZ. Tehrani, H. Rivaz, Segmentation of Ultrasound Images based on Scatterer Density using U-Net, 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. Sadeghi-Naini, A Tissue Mechanics Based Method to Improve Tissue Displacement Estimation in Ultrasound Elastography, IEEE EMBC, 2020, in press.
	71. N. Jafarpisheh, I. M. Rosado-Mendez, 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 1834-1837, pdf.
2019:
Journal Papers:
	68. M. Mirzaei, A. Asif, H. Rivaz*, Combining Total Variation Regularization with Window-based Time Delay Estimation in Ultrasound Elastography, IEEE Trans. Medical Imaging (TMI), in press pdf, Supplementary Material, Code .
	67. M. Ashikuzzaman, C.J. Gauthier, H. Rivaz*, Global Ultrasound Elastography in Spatial and Temporal Domains, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), 2019, Vol 66, pp 876-887 IEEE Xplore,pdf, Supplementary Material, code.
	66. M. Fortin, A Rizk, S Frenette, M Boily, H. Rivaz, Ultrasonography of multifidus muscle morphology and function in ice hockey players with and without low back pain, Physical Therapy in Sport, May 2019, pp 77-85 Elsevier, pdf.
	65. M.D. Horeh, A. Asif, H. Rivaz*, Analytical Minimization-Based Regularized Sub-Pixel Shear Wave Tracking for Ultrasound Elastography, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), 2019, Vol 66, pp 285 – 296 IEEE Xplore, pdf, supplementary material.
	64. N. Masoumi, Y. Xiao, H. Rivaz, ARENA: Inter-modality affine registration using evolutionary strategy, International Journal of Computer Assisted Radiology and Surgery (Springer IJCARS), 2019, Vol 14, pp 441-450 Springer, pdf.
	63. HS Hashemi, S Fallone, M Boily, A Towers, RD Kilgour, H. Rivaz*, Assessment of Mechanical Properties of Tissue in Breast Cancer-Related Lymphedema Using Ultrasound Elastography, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), 2019, vol 66, pp 541-550 IEEE Xplore, pdf, supplementary material.

Conference Papers:
	62. M. Amiri, R. Brooks, H. Rivaz*, Fine tuning U-Net 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 462-472
	59. B. Behboodi, H. Rivaz*, Ultrasound segmentation using U-Net: learning from simulated data and testing on real data, IEEE EMBC, pp 6628-6631 IEEE Xplore
	58. A. Zayed, H. Rivaz*, Fast Approximate Time-Delay Estimation in Ultrasound Elastography Using Principal Component Analysis, IEEE EMBC, pp. 6204-6207 IEEE Xplore
	57. S. Goudarzi, A. Asif, H. Rivaz*, Multi-focus ultrasound imaging using generative adversarial networks, IEEE ISBI 2019, pp. 1118-1121
	56. Z. Vajihi, I. Rosado-Mendez, T.J. Hall, H. Rivaz*, L1 and L2 Norm Regularization of Acoustic Attenuation And Backscatter Coefficients Using Dynamic Programming, IEEE ISBI 2019, pp. 1749-1752
	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. 745-749
	54. M. Mirzaei, A. Asif, H. Rivaz*, Ultrasound elastography utilizing pre-beamformed data, IEEE ISBI 2019, pp. 1725-1728
2018:
Journal Papers:
	53. Z. Vajihi, I. Rosado-Mendez, 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 2042-2053, IEEE Xplore, pdf.
	52. R Shams, Y Xiao, F Hebert, M Abramowitz, R Brooks, H Rivaz, Assessment of Rigid Registration Quality Measures in Ultrasound-Guided Radiotherapy, IEEE Trans. Medical Imaging, 2018, vol 37, pp 428-437 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 21-29 IEEE Xplore, pdf.
	50. P Khavari, A Asif, M Boily,H. Rivaz*, Non-Local 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, Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles, European Spine Journal, 2018, Vol 27, Issue 10, pp 2442-2448 Springer, pdf.
	48. Y. Xiao, M. Boily, H. S. Hashemi, H. Rivaz*, High-Dynamic-Range Ultrasound: Application for Imaging Tendon Pathology, Ultrasound in Medicine and Biology (UMB), 2018, Vol 44, Issue 7, Pages 1525-1532 sciencedirect, pdf.
	47. Y. Xiao, L. Eikenes, I. Reinertsen, H. Rivaz*, Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection, International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2018, Vol 13, Issue 3, pp 457-467 Springer, pdf.
	46. Y Xiao, H Rivaz*, H Kasuya, S Yokosako, C Mindru, J Teitelbaum, D Sirhan, D Sinclair, M Angle, B Lo, Intra-operative 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 452-458 Springer, pdf.

Conference Papers:
	45. G. Kibria, H. Rivaz*, Global Ultrasound Elastography Using Convolutional Neural Network, MICCAI POCUS 2018, pp 21-28 Springer, pdf, short version on arXiv.
	44. P. Khavari, A. Asif, H. Rivaz*, Non-local 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*, Ultrasound Elastography of Breast Cancer-Related Lymphedema, IEEE ISBI 2018, pp 1491-1495 IEEE Xplore, pdf.
	42. H. Khodadadi, A. Aghdam, H. Rivaz*, Direct Strain Estimation in Ultrasound Elastography Using A Novel Dynamic Programming Approach, IEEE ISBI 2018, pp 1182-1186 IEEE Xplore, pdf.
2017:
Journal Papers:
	41. H. Hashemi, H. Rivaz, Global Time-Delay Estimation in Ultrasound Elastography, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control (TUFFC), Oct. 2017, vol 64, pp 1625-1636, (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 Radio-Frequency Data by Utilizing Analytic Gradient of the Similarity Metric, IEEE Trans. Medical Imaging, 2017, vol 36, pp 1347-1358 IEEE Xplore, pdf.
	39. S. R. Mousavi, H. Rivaz, A. Sadeghi-Naini, G. Czarnota, A. Samani, Breast Ultrasound Elastography using Full Inversion Based Elastic Modulus Reconstruction, IEEE Trans. Computational Imaging, 2017, vol 3, pp 774-782 IEEE Xplore, pdf.
	38. Y. Xiao, M. Fortin, G. Unsgard, H. Rivaz, I. Reinertsen, REtroSpective Evaluation of Cerebral Tumors (RESECT): a clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries, Medical Physics, 2017, vol 44, pp 3875-3882 MedPhys, pdf, Ultrasound, MRI and landmarks, Direct Link.
	37. S. R. Mousavi, H. Rivaz, G. Czarnota, A. Samani, A. Sadeghi-Naini, Ultrasound Elastography of Prostate Using an Unconstrained Modulus Reconstruction Technique: A Pilot Clinical Study, Translational Oncology, 2017, vol 10, pp 744-751 Translational Oncology, pdf.
	36. M. Fortin, M. Omidyeganeh, M. O. Ahmad, M. Crites-Battie, 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 (inter-Modality Affine Registration with CorELation ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection, BrainLes MICCAI workshop, Springer LNCS, 2018, pp 55-63 Springer, pdf.
	34. Y. Xiao, A. Alamer V. Fonov, B. Lo, D Tampieri, D.L. Collins, H. Rivaz* M. Kersten-Oertl, Towards automatic collateral circulation score evaluation in ischemic stroke using image decompositions and support vector machines, Switch 2017 MICCAI workshop , pp 158-167 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 755-759 IEEE GlobalSIP, pdf.
	31. M. D. Horeh, A. Asif, H. Rivaz*, Regularized Tracking of Shear-Wave in Ultrasound Elastography, The 42nd IEEE Int. Conference on Acoustic, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017, pp 6264-6268 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 Post-resection Ultrasound Volumes with Non-corresponding Regions in Neurosurgery, IEEE Journal Biomedical Health Informatics JBHI, 2016, vol 20, pp 1240-1249 (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 MR-Ultrasound Registration for Image-Guided Neurosurgery, IEEE Trans. Medical Imaging, 2015, vol 34, pp 366-380 (IEEE Xplore), pdf.
	26. H. Rivaz, Collins, DL., Deformable Registration of Pre-Operative MR, Pre-Resection Ultrasound and Post-Resection Ultrasound Images of Neurosurgery, International Journal of Computer Assisted Radiology and Surgery, 2015, vol 10, pp 1017-1028 Springer, pdf.
	25. H. Rivaz, Collins, DL., Near Real-Time Robust Nonrigid Registration of Volumetric Ultrasound Images For Neurosurgery, Ultrasound in Medicine and Biology, 2015, vol 41, pp 574-587 ScienceDirect, pdf.
	24. Karimaghaloo, Z, H. Rivaz, Arnold, D, Collins, DL. Arbel, T, Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI, IEEE Trans. Medical Imaging, 2015, vol 34, pp 1227-1241 IEEE Xplore, pdf.

Conference Papers:
	23. H. Zhou, H. Rivaz, Robust Deformable Registration of Pre- and Post-resection 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*, Edge-Preserving 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 708-725 (IEEE Xplore), pdf.
	20. H. Rivaz, Karimaghaloo, Z, Collins, DL., Self-Similarity Weighted Mutual Information: a New Non-rigid Image Registration Metric, Medical Image Analysis, 2014, vol. 18 pp 343-358 (ScienceDirect), pdf.
	19. H. Rivaz, Boctor, E., Choti, M., Hager, G., Ultrasound Elastography Using Multiple Images, Medical Image Analysis, February 2014, vol. 18 pp 314-329 (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 23-32 (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 543-550 [Acceptance rate: 32%] pdf.
	16. Rivaz, H., Collins, D.L., Self-Similarity Weighted Mutual Information: a New Non-rigid Image Registration Metric, Medical Image Computing and Computer Assisted Intervention, MICCAI, Oct 2012, pp 91-98 [Acceptance rate: 30%]. pdf.
	15. Rivaz, H, Boctor, E., Choti, M., Hager, G., Real-Time Regularized Ultrasound Elastography, IEEE Trans. Medical Imaging, April 2011, vol. 30 pp 928-945 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 1373-1377 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 371-378 [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 9-16 [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 762911-762919 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, 7629131-7629138 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 507-515 [Acceptance rate: 33%] pdf.
	8. Rivaz, H., Shinagawa, Y., Liang, J., Physical Priors in Virtual Colonoscopy, SPIE Medical Imaging 2009, pp 7260191-72601912 pdf.
	7. Rivaz, H., Fleming, I., Assumpcao, L., Fichtinger, G., Hamper, U., Choti, M., Hager, G., Boctor, E., Ablation Monitoring with Elastography: 2D In-vivo and 3D Ex-vivo Studies, Medical Image Computing and Computer Assisted Intervention, MICCAI, New York, NY, Sept. 2008, pp 458-466 [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 308-312 pdf.
	5. Rivaz, H., Rohling, R., An Active Dynamic Vibration Absorber for a Hand-Held Vibro-Elastography 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 Out-of-Plane Motion Estimation in Real Tissue, IEEE Int. Ultrasonics Symposium, New York, NY, Oct. 2007 pp 781-784 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 181-188 pdf.
	2. Rivaz, H., Rohling, R., A Hand-Held Probe for Vibro-Elastography, Medical Image Computing and Computer Assisted Intervention, MICCAI, 2006, pp 613-620 pdf.
	1. Rivaz, H., Boctor, E., Fichtinger, G., Ultrasound Speckle Detection using Low Order Statistics, IEEE Int. Ultrasonics Symposium, Vancouver, Canada, Oct. 2006, pp 2092-2095 pdf.