Post-Doctral Fellow:
Dr. Mina Amiri
Dr. Yiming Xiao
Dr. Maryse Fortin
Dr. Mona Omidyeganeh
PhD:
Ali Kafaee
Nima Masoumi
Md Ashikuzzaman
Sobhan Goudarzi
Morteza Mirzaei
MASc:
Parinaz Roshan
P. Roshanzamir*, H. Rivaz , J. 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.
Clyde Belasso
4. 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.
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
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
2. 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.
1. 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.
