| |
Awards Won by Students Under Thesis Supervision and Post-Doctoral Fellows
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Nima Masoumi received the MASc Convocation Award in recognition of the best MASc thesis in the ECE Department in 2019. ECE is home to ~150 thesis-based MASc students.
Hoda Hashemi received the MASc Convocation Award in recognition of the best MASc thesis in the ECE Department in 2018. ECE is home to ~150 thesis-based MASc students.
(Hashemi & Rivaz IEEE TUFFC 2017) among Editor's Selection of Articles in TUFFC (Dec 2018).
Dr. Yiming Xiao received the BrainsCAN postdoctoral scholarship. $110,000 over 2 years. 2018.
(Shams*, Boily, Martineau, Rivaz, SPIE 2016, San Diego, CA) selected as a finalist for the Robert F. Wagner All Conference Best Student Paper Award. Only 16 finalists among more than 1000 presentations. Paper presented by R Shams, MASc student.
(Zhou* & Rivaz, IEEE EMBC, Milan, Italy) invited for submission of full journal version. Only 10 invitations among 2948 submissions to IEEE EMBC. Paper presented by MASc student H Zhou. The IEEE JBHI paper (Zhou* & Rivaz 2016) is now published.
H. Khodadadi*, Best poster award, 3rd Annual PERFORM Conference. Sponsored by Biospective. $500. 2016
R. Shams*, Second place award in Graduate Student Research paper competition, MASc category. $300. 2016
R. Shams*, First place award in Graduate Student Research paper competition, MASc category. $300. 2015
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Selected Awards
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Concordia University Research Chair in Medical Image Analysis (New Scholar), 2018
Petro-Canada Young Innovator Award, 2016
NSERC Post-Doctoral Fellowship, 2012-2013 ($80,000 CAD)
Jeanne Timmins Costello Post-Doctoral Award, 2011, 2014 ($80,000 CAD)
DoD Pre-Doctoral Traineeship Award, 2008-2011 ($97,000 USD)
Advanced Simulation Fellowship from the Link Foundation, 2008 ($25,000 USD)
STACOM best paper award, 2012 ($400)
MICCAI travel award, 2009 ($700)
SPIE Medical Imaging second best paper award, 2009
UBC Graduate Entrance award and partial tuition Remission award, 2003
University of Toronto Connaught Scholarship (declined), 2003
Ranked 2 among >15,000, Iranian national university entrance exam for graduate studies, 2003
Ranked 5 among > 150,000, Iranian national university entrance exam for undergraduate studies, 1999
Silver medal, 12th National Physics Olympiad, 1998
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Selected Publications (Asterisk * indicates students under supervision)
See all publications on Google Scholar
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[Disclaimer: Posting of copies of papers is intended for
educational purposes only and adherence to copyright laws is assumed.]
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2020:
|
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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, pp 1272-1284
pdf , supplementary material, IEEE Xplore.
|
 |
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, in press
Full paper.
|
 |
99. 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.
|
 |
98. 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.
|
 |
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.
|
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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), vol 39, pp 777-786, 2020
IEEE Xplore, pdf.
|
| |
Conf. 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, and 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, and H. Rivaz,
Ultrasound Beamforming using MobileNetV2, IEEE IUS, 2020, in press.
|
 |
84. S. Goudarzi*, A. Asif, and 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, A 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, 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 and 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, and 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 and H. Rivaz,
Automatic Frame Selection using CNN in Ultrasound Elastography, IEEE EMBC, 2020, in press.
|
 |
74. M. Ashikuzzaman* and 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, S. Dempsey, 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, and 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, and 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.
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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), 2019, Vol 38, Issue 12, pp 2744-2754
IEEE Xplore, 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.
|
| |
Conf. Papers: |
 |
62. M. Amiri*, R. Brooks, H. Rivaz,
Fine tuning U-Net for ultrasound image segmentation: which layers?,
MICCAI MIL3ID Workshop, 2019, pp 235-242
Springer, 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, pp 318-325 Springer, pdf
|
 |
60. A. Zayed*, H. Rivaz,
Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography,
ICIAR, Springer, Cham, 2019, pp 462-472
Springer, pdf
|
 |
59. B. Behboodi*, H. Rivaz,
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data,
IEEE EMBC, 2019, pp 6628-6631
IEEE Xplore
|
 |
58. A. Zayed*, H. Rivaz,
Fast Approximate Time-Delay Estimation in Ultrasound Elastography Using Principal Component Analysis,
IEEE EMBC 2019, pp. 6204-6207
IEEE Xplore,
|
 |
57. 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
IEEE Xplore, pdf
|
 |
56. 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
|
 |
55. M. Mirzaei*, A. Asif, H. Rivaz,
Ultrasound elastography utilizing pre-beamformed data, IEEE ISBI 2019, pp. 1725-1728
|
|
54. S. Goudarzi*, A. Asif, H. Rivaz,
Multi-focus ultrasound imaging using generative adversarial networks, IEEE ISBI 2019, pp. 1118-1121
IEEE Xplore, pdf
|
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, H. Rivaz,
NonLocal Coherent Denoising Of RF Data For Ultrasound Elastography,
Journal of Healthcare Engineering, (Invited manuscript, APC waived), 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), July 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, 2018, Vol 9, Issue 5, pp 452-458
Springer, pdf.
|
| |
Conf. Papers: |
 |
45. G. Kibria*, H. Rivaz,
GLUENet: 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:
|
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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.
|
| |
Conf. 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. R. Shams*, M. Boily, P. Martineau, H. Rivaz,
Dynamic Programing 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, Data ReadMe text file,
Ultrasound, MRI and manually selected landmarks (591MB zip file).
|
 |
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 (IJCARS), 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.
|
| |
Conf. 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 - 3838
IEEE 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., H. Rivaz, 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. H. Rivaz, 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. H. Rivaz, 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. H. Rivaz, 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. H. Rivaz, 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., H. Rivaz, 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. H. Rivaz, 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. H. Rivaz, 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.
|
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9. H. Rivaz, 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.
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8. H. Rivaz, Shinagawa, Y., Liang, J., Physical Priors in Virtual Colonoscopy, SPIE Medical Imaging 2009, pp 7260191-72601912 pdf.
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7. H. Rivaz, 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.
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6. H. Rivaz, 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.
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5. H. Rivaz, Rohling, R., An Active Dynamic Vibration Absorber for a Hand-Held Vibro-Elastography Probe, ASME Journal of Vibration Acoustics
pdf.
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4. H. Rivaz, 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.
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3. H. Rivaz, 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.
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2. H. Rivaz, Rohling, R., A Hand-Held Probe for Vibro-Elastography, Medical Image Computing and Computer Assisted
Intervention, MICCAI, 2006, pp 613-620 pdf.
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1. H. Rivaz, Boctor, E., Fichtinger, G., Ultrasound Speckle Detection
using Low Order Statistics, IEEE Int. Ultrasonics Symposium, Vancouver, Canada,
Oct. 2006, pp 2092-2095 pdf.
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Patents
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P3. H. Rivaz, Boctor, E., Hager, G. and Fichtinger, G., Robust and Accurate
Freehand 3D ultrasound, US patent 8,559,685 (Awarded)
pdf
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P2. H. Rivaz, Hager, G. Boctor, E., and Fleming, I. Method and System
for Processing Ultrasound Data, US patent US 8,824,762 (Awarded)
pdf
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P1. Boctor, E., Fichtinger, G., Hager, G. and H. Rivaz, Apparatus and
Method for Computing 3D Ultrasound Elasticity Images, US 0306384 (Pending)
pdf
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Rejections
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Congrats if you made it this far on my page. Now to see some of my rejections, click here!
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Teaching
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COEN 243, C++ Programming Methodology I (Fall 2014)
ENGR 371, Probability & Statistics (Winter 2015)
ENCS 6161 (in pdf), Stochastic Process (Fall 2015)
ELEC 498/691 , Medical Image Processing (Winter 2016)
ELEC 498/691 , Medical Image Processing (Fall 2016)
ENGR 371, Probability & Statistics (Summer 2017)
ELEC 444/6661, Medical Image Processing (Fall 2017)
ENGR 371, Probability & Statistics (Winter 2018)
ELEC 444/6661, Medical Image Processing (Fall 2018)
ENGR 371, Probability & Statistics (Winter 2019)
ELEC 444/6661, Medical Image Processing (Fall 2019)
ENGR 371, Probability & Statistics (Winter 2020)
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