Students

Post-Doctoral Fellow:

Ali Kafaee

PhD Student (2023-date)

PhD:

Bahareh Behboodi

PhD Student (2018-date)

6. B. Behboodi*, H. Rivaz, S. Lalondrelle, E. Harris,
Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning, IEEE International Ultrasonics Symposium (IUS), 2021, IEEE Xplore, arXiv.

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)

B. Gheflati*, H. Rivaz,
Vision Transformer for Classification of Breast Ultrasound Images, IEEE EMBC, Glasgow, Scotland, 2022, arXiv.

Maedeh Kafiyan

PhD Student (2023-date)

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.

Sepideh Khakzad

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

S. Gharamaleki*, B. Helfield, H. Rivaz,
Transformer-based Microbubble Localization, IEEE IUS 2022, Venice, Italy, arXiv.

Aryan Morteza

PhD Student (co-supervised by Dr. Mirco Ravanelli) (2022-date)

Hojat Asgarian

PhD Student (2022-date)

Mostafa Sharifzadeh

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

7. M. Sharifzadeh*, H. Benali, H. Rivaz,
Investigating Shift-Variance of Convolutional Neural Networks in Ultrasound Image Segmentation, IEEE Trans. UFFC (TUFFC), 2022, IEEE Xplore, arXiv.

6. M. Sharifzadeh*, H. Benali, H. Rivaz,
Segmentation of Intraoperative 3D Ultrasound Images Using a Pyramidal Blur-Pooled 2D U-Net, MICCAI CuRIOUS, Singapore, 2022, pp 69-75, Springer

5. A. Tehrani*, M. Sharifzadeh*, E. Boctor, H. Rivaz,
Bi-Directional Semi-Supervised Training of Convolutional Neural Networks for Ultrasound Elastography Displacement Estimation, IEEE Trans. UFFC (TUFFC), 2022, IEEE Xplore, arXiv.

4. M. Sharifzadeh*, H. Benali, H. Rivaz,
An Ultra-Fast Method for Simulation of Realistic Ultrasound Images, IEEE International Ultrasonics Symposium (IUS), 2021, IEEE Xplore, arXiv.

3. M. Sharifzadeh*, A. Tehrani*, H. Benali, H. Rivaz,
Ultrasound Domain Adaptation Using Frequency Domain Analysis, IEEE International Ultrasonics Symposium (IUS), 2021, IEEE Xplore, arXiv.

2. M. Sharifzadeh*, H. Benali, H. Rivaz,
Shift-invariant segmentation in breast ultrasound images, IEEE International Ultrasonics Symposium (IUS), 2021, IEEE Xplore.

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

Soorena Salari

PhD Student (co-supervised by Dr. Xiao) (2022-date)

MASc:

Dorsa Ameri

MASc Student (2023-date)

Parinaz Roshan

MASc Student (co-supervised by Dr. Xiao) (2022-date)

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.

Ali Nasiri Sarvi

MASc Student (co-supervised by Dr. Mahdi Hossein) (2023-date)

Taha Koleilat

MASc Student (co-supervised by Dr. Xiao) (2023-date)

Zirui Qiu

MASc Student (co-supervised by Dr. Xiao) (2022-date)