Students

PhD:

Ali Kafaee

PhD Student (2018-date)

8. 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.

7. 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.

6. 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.

5. A. Tehrani, M. Mirzaei, H. Rivaz,
Semi-Supervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography, MICCAI, 2020, in press, pdf.

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)

5. 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.

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.

Behnaz Gheflati

PhD Student (2020-date)

Md Ashikuzzaman

PhD Student (2019-date)

10. 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.

9. 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.

8. 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.

7. M. Ashikuzzaman*, T. Hall, H. Rivaz,
Adaptive Data Function for Robust Ultrasound Elastography, IEEE IUS, 2020, in press.

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)

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

Mostafa Sharifzadeh

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

M. Sharifzadeh, H. Benali, H. Rivaz,
Phase Aberration Correction: A Convolutional Neural Network Approach, IEEE Access, vol. 8, pp. 162252-162260, 2020.
Full Paper

Mumu Aktar

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

2. 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.

1. 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.

Nima Masoumi

PhD Student (Co-supervised by Dr. M. O. Ahmad) (2018-date)
3. 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.

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)

6. 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.

5. 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.

4. 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.

3. 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.

2. 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.

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.

Sepideh Khakzad

PhD Student (co-supervised by Dr. Brandon Helfield) (2021-date)

Sobhan Goudarzi

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

6. S. Goudarzi*, A. Asif, and H. Rivaz,
Plane-Wave Ultrasound Beamforming Through Independent Component Analysis, Computer Methods and Programs in Biomedicine, in press.
pdf.

5. S. Goudarzi*, A. Asif, and H. Rivaz,
Ultrasound Beamforming using MobileNetV2, IEEE IUS, 2020, in press.

4. S. Goudarzi*, A. Asif, and H. Rivaz,
Angular Apodization Estimation Using Independent Component Analysis in Coherent Plane- Wave Compounding, IEEE IUS, 2020, in press.

3. 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.

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.

MASc:

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)

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

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

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.