Students

Post-Doctral Fellow:

Dr. Mina Amiri

Post-Doctoral Fellow (2018-date)

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

Graduate Students:

Ali Kafaee

PhD Student (2018-date)

4. 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.

3. 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.

2. M. Amiri, A. KZ. Tehrani, H. Rivaz,
Segmentation of Ultrasound Images based on Scatterer Density using U-Net, IEEE EMBC, 2020, in press.

1. 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.

Bahareh Behboodi

PhD Student (2018-date)

4. 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.

3. 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.

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. 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.

Md Ashikuzzaman

PhD Student (2019-date)

6. 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.

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

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

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.

Morteza Mirzaei

PhD Student (co-supervised by Dr. Amir Asif) (2017-date)

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

Mostafa Sharifzadeh

PhD Student (Co-supervised by Dr. Habib Benali) (2018-date)

Mumu Aktar

PhD Student (co-supervised by Dr. M. Kersten) (2018-date)

Nima Masoumi

PhD Student (Co-supervised by Dr. M. O. Ahmad) (2018-date)

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.

Noushin Jafarpisheh

PhD Student (2018-Date)

1. 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.

Sobhan Goudarzi

PhD student (co-supervised by Dr. Amir Asif) (2018-date)

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

1. S. Goudarzi, A. Asif, H. Rivaz,
Multi-focus ultrasound imaging using generative adversarial networks, IEEE ISBI 2019, pp. 1118-1121
IEEE Xplore, pdf.

Amir Pirhadi

MASc Student (co-supervised by Dr. M. O. Ahmad) (2018-date)

Clyde Belasso

MASc Student (co-supervised by Dr. Habib Benali)(2020-date)

3. 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.

2. 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 materials, code.

1. 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

Golam Kibria

MASc Student (co-supervised by Dr. A. Bergdahl) (2017-date)
2. 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 .

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.

Hamze Rasaee

MASc Student (co-supervised by Dr. Fuzhan Nasiri)(2020-date)

Pouria Chalangari

MASc Student (co-supervised by Dr. Thomas Fevens)(2018-date)

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

Sepehr Radmannia

MASc Student (co-supervised by Dr. Habib Benali) (2018-date)

Alumni:

Abdelrahman Zayed

(MASc at IMPACT, 2018-2020)

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.

Hang Zhou

(MASc at IMPACT, 2014-2016)
Present position: Junior Researcher at Shimadzu Corp, Montreal
2- 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 IEEE Xplore, pdf,   supplementary material.

1- 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.

Hoda Sadat Hashemi

(MASc at IMPACT, 2015-2017)
Present position: PhD student at UBC, Vancouver

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.

Hossein Khodadadi

(MASc at IMPACT, co-supervised with A Aghdam, 2014-2017)
Present position: PhD student at ETH Zurich
2- H. Khodadadi, A. Aghdam, H. Rivaz,
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.

Mahmoud Derakhshan

(MASc at IMPACT, co-supervided with A Asif, 2015-2017)
Present position: Image processing data analyst at matrixspec.ai

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.

1. 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, pdf, supplementary material.

Dr. Maryse Fortin

(Post-doc at IMPACT, 2015-2017)
Present position: Tenure-track Assistant Professor at Concordia University, Montreal
2- 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

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.

Md Ashikuzzaman

(MASc at Impact, co-supervised with Dr. C. Gauthier, 2017-2019)
Present position: PhD student at Concordia

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.

Mohamad Ghasemi

(MASc at IMPACT, co-supervised with M O Ahmad, 2015-2017)
Present position: Data Scientist at Uzinakod, Montreal
2-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
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.

Dr. Mona Omidyeganeh

(Post-doc at IMPACT, co-supervided with M O Ahmad, 2015-2016)
Present position: Research associate at McGill University, Montreal
2- M. Omidyeganeh, Y. Xiao, M. O. Ahmad, H. Rivaz, Regularized Tracking of Shear-Wave in Ultrasound Elastography, IEEE Trans. Medical Imaging
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.

Parviz Khavari

(MASc at IMPACT, co-supervised with A. Asif, 2016-2018)
Present position: Electrical Engineer Intern at GE, Montreal
2- 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.

1- P. Khavari, A. Asif, H. Rivaz,
Non-local Super Resolution in Ultrasound Imaging, IEEE MMSP 2018
In press, pdf.

Nima Masoumi

(MASc at IMPACT, 2016-2018)
Present position: PhD student at Concordia

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.

Roozbeh Shams

(MASc at IMPACT, 2015-2017)
Present position: Research Associate at Polytechnique, Montreal
2- 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
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

Dr. Yiming Xiao

(Post-doc at IMPACT, 2016-2017)
Present position: BrainsCAN postdoctoral researcher at Western, London ON
10- 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, 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.

Zara Vajihi

MASc at IMPACT (2017-2018)
Present position: Research Associate at Jewish General Hospital
2. 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, in press

1. 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.

Zhang Naiyuan

(MASc at IMPACT, 2018-2020)
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.