Post-Doctral Fellow:
Dr. Mina Amiri
7. 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.
6. 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.
5. 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.
4. 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.
3. M. Amiri, A. KZ. Tehrani, H. Rivaz,
Segmentation of Ultrasound Images based on Scatterer Density using U-Net, IEEE EMBC, 2020, in press.
2. 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.
1. 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
Dr. Yiming Xiao
Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles, European Spine Journal, 2018, in press Springer , pdf. 9- 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, in press sciencedirect, pdf. 8- 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, in press Springer, pdf. 7- 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. 6- 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, in press Springer, pdf. 5- 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. 4- 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. 3- 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. 2- 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 (accepted) Switch MICCAI, pdf. 1- 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.
Dr. Maryse Fortin
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 1- 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, pdf, BioMed Central, Code and instructions.
Dr. Mona Omidyeganeh
Accepted, pdf. 1- 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.
PhD:
Morteza Mirzaei
7. 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.
6. A. Tehrani, M. Mirzaei, H. Rivaz,
Semi-Supervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography, MICCAI, 2020, in press, pdf.
5. M. Mirzaei, A. Asif, H. Rivaz,
Synthetic aperture with high lateral sampling frequency for ultrasound elastography, IEEE EMBC, 2020, in press.
4. 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.
3. 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.
2. 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.
1. M. Mirzaei, A. Asif, H. Rivaz,
Ultrasound elastography utilizing pre-beamformed data, IEEE ISBI 2019, pp. 1725-1728
MASc:
Hamze Rasaee
2. 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.
1. 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.
Amir Pirhadi
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.
Sepehr Radmannia
Zhang Naiyuan
Clutter Suppression in Ultrasound: Performance Evaluation and Review of Low-Rank and Sparse Matrix Decomposition Methods, Springer Biomedical Engineering Online, in press, pdf.
Abdelrahman Zayed
4. A. Zayed, H. Rivaz,
Displacement Estimation in Ultrasound Elastography using Pyramidal Convolutional Neural Network, IEEE Trans. UFFC (TUFFC), in press
pdf, Supplementary Material, Code.
3. A. Zayed, G. Cloutier, H. Rivaz,
Automatic Frame Selection using CNN in Ultrasound Elastography, IEEE EMBC, 2020, in press.
2. A. Zayed, H. Rivaz,
Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography, ICIAR, Springer, Cham, 2019, pp 462-472
Springer, pdf.
1. A. Zayed, H. Rivaz,
Fast Approximate Time-Delay Estimation in Ultrasound Elastography Using Principal Component Analysis, IEEE EMBC 2019, pp. 6204-6207
IEEE Xplore.
Pouria Chalangari
1. P. Chalangari, T. Fevens, H. Rivaz,
3D Human Knee Flexion Angle Estimation using Deep Convolutional Neural Networks, IEEE EMBC, 2020, in press.
Golam Kibria
Low Rank and Sparse Decomposition of Ultrasound Color Flow Images for Suppressing Clutter in Real-Time, IEEE Trans. Medical Imaging (TMI), in press,
pdf, Supplementary Material, Code .
1. G. Kibria, H. Rivaz,Global Ultrasound Elastography Using Convolutional Neural Network, MICCAI POCUS 2018, pp 21-28
In press, pdf, short version on arXiv.
Md Ashikuzzaman
3. 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,
pdf, Supplementary Material, Code .
2. 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
1. 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
pdf,
supplementary material.
Zara Vajihi
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.
Parviz Khavari
pdf. 1- P. Khavari, A. Asif, H. Rivaz,
Non-local Super Resolution in Ultrasound Imaging, IEEE MMSP 2018
In press, pdf.
Nima Masoumi
Nima 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.
2. N. Masoumi, Y. Xiao*, H. Rivaz,
ARENA: Inter-modality affine registration using evolutionary strategy, International Journal of Computer Assisted Radiology and Surgery (Springer IJCARS), Vol 14, pp 441-450
Springer, pdf.
1. 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
BrainLes MICCAI, pdf.
Hoda Sadat Hashemi
Hoda 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.
5- 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. 4- 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, in press
sciencedirect, pdf. 3-H. S. Hashemi, S. Fallone, M. Boily, A. Towers, R. Kilgour, H. Rivaz,
Ultrasound Elastography of Breast Cancer-Related Lymphedema, IEEE ISBI 2018 In press,pdf. 2-H. Hashemi, H. Rivaz, Global Time-Delay Estimation in Ultrasound Elastography, IEEE Trans. Ultrasonics Ferroelectrics Frequency Control
Accepted, pdf, code 1- 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.
Mahmoud Derakhshan
2. 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.
Mohamad Ghasemi
pdf 1-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 (accepted),
IEEE GlobalSIP, pdf.
Roozbeh Shams
pdf. 1- Shams, R., Boily, M., Martineau, PA., Rivaz, H., Dynamic Programming on a Tree for Ultrasound Elastography, to be presented at SPIE Medical Imaging 2016. (Selected as a finalist for a Robert F. Wagner All Conference Best Student Paper Award)
SPIE Digital Lib, pdf
Hossein Khodadadi
Direct Strain Estimation in Ultrasound Elastography Using A Novel Dynamic Programming Approach, IEEE ISBI 2018 In press, pdf. 1- H. Khodadadi, A. Aghdam, H. Rivaz, Edge-Preserving Ultrasonic Strain Imaging with Uniform Precision, IEEE EMBC, 2015, pp 3835 – 3838
IEEE Xplore, pdf.
