Alumni Profile

Dr. Alireza Sedghi

School of Computing
Queen's University
Member Between 2015-2020
Biography
Alireza Sedghi is a postdoctoral fellow at the School of Computing, Queen's University. He received his BSc and MSc in Electrical Engineering and Biomedical Engineering from K.N.Toosi University of Technology, Iran in 2012 and 2015 respectively. His Master's research project was in assessment of visual pathways disorders in multiple sclerosis patients using functional magnetic resonance imaging. Alireza is currently involved with projects in the application of deep learning for medical image analysis and image-guided therapy. He completed his PhD at Queen's University in 2020. His PhD thesis was on application of deep learning for the integration of medical data.

Publications

2022

Patel, Dhruv; Ziegler, Erik; Lewis, Rob; Mousavi, Parvin; Sedghi, Alireza

Deep Image Clustering for Standardization of Radiological Workflows Conference

20th Annual Symposium of the Imaging Network of Ontario (ImNO) 2022, 2022.

BibTeX

Wu, Catherine O; Diao, Babacar; Groves, Leah; Ungi, Tamas; Sedghi, Alireza; Kikinis, Ron; Mousavi, Parvin; Fichtinger, Gabor

Visualization of the zonal anatomy for transrectal ultrasound guided prostate biopsy Conference

20th Annual Symposium of the Imaging Network of Ontario (ImNO) - BEST PITCH AWARD, 2022.

BibTeX

Patel, Dhruv; Ziegler, Erik; Lewis, Rob; Mousavi, Parvin; Sedghi, Alireza

Deep image clustering for standardization of radiological workflows Inproceedings

In: SPIE Medical Imaging, International Society for Optics and Photonics International Society for Optics and Photonics, 2022.

BibTeX

2021

Javadi, Golara; Bayat, Sharareh; Samadi, Samareh; Sedghi, Alireza; Sojoudi, Samira; Hurtado, Antonio; Chang, Silvia; Black, Peter; Mousavi, Parvin; Abolmaesumi, Purang

Towards Targeted Ultrasound-guided Prostate Biopsy by Incorporating Model and Label Uncertainty in Cancer Detection Journal Article Forthcoming

In: International Journal of Computer Assisted Radiology and Surgery, special issue of International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Forthcoming.

BibTeX

Santilli, Alice; Jamzad, Amoon; Sedghi, Alireza; Kaufmann, Martin; Logan, Kathryn; Wallis, Julie; Ren, Kevin YM; Janssen, Natasja; Merchant, Shaila; Engel, Jay; McKay, Doug; Varma, Sonal; Wang, Ami; Fichtinger, Gabor; Rudan, John F.; Mousavi, Parvin

Domain adaptation and self-supervised learning for surgical margin detection Journal Article

In: International Journal of Computer Assisted Radiology and Surgery (IPCAI), vol. 16, no. 5, pp. 861–869, 2021.

BibTeX

Grebenisan, Andrew; Sedghi, Alireza; Izard, Jason; Siemens, Robert; Menard, Alexandre; Mousavi, Parvin

Spatial Decomposition For Robust Domain Adaptation In Prostate Cancer Detection Inproceedings

In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp. 1218–1222, IEEE 2021.

BibTeX

Santilli, Alice; Jamzad, Amoon; Sedghi, Alireza; Kaufmann, Martin; Merchant, Shaila; Engel, Jay; Logan, Kathryn; Wallis, Julie; Janssen, Natasja; Varmak, Sonal; Fichtinger, Gabor; Rudan, John F.; Mousavi, Parvin

Self-Supervised Learning For Detection Of Breast Cancer In Surgical Margins With Limited Data Inproceedings

In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp. 980–984, IEEE 2021.

BibTeX

Sedghi, Alireza; O’Donnell, Lauren J; Kapur, Tina; Learned-Miller, Erik; Mousavi, Parvin; III, William M Wells

Image registration: Maximum likelihood, minimum entropy and deep learning Journal Article

In: Medical Image Analysis (MEDIA), vol. 69, pp. 101939, 2021.

BibTeX

Perera-Ortega, Andrea; Sedghi, Alireza; Isen, Jonah; Vos, Sjoerd B; Mousavi, Parvin; Winston, Gavin P

Machine Learning to Detect Brain Lesions in Focal Epilepsy Conference

The 19th Annual Symposium of the Imaging Network of Ontario (ImNO), no. BEST PITCH AWARD, 2021.

BibTeX

Santilli, Alice; Jamzad, Amoon; Sedghi, Alireza; Kaufmann, Martin; Logan, Kathryn; Wallis, Julie; Ren, Kevin; Janssen, Natasja; Merchant, Shaila; Engel, Jay; McKay, Doug; Varma, Sonal; Wang, Ami; Fichtinger, Gabor; Rudan, John F.; Mousavi, Parvin

Domain Adaptation and Self-Supervised Learning for Surgical Margin Detection Conference

The 19th Annual Symposium of the Imaging Network of Ontario (ImNO), no. BEST PITCH AWARD, 2021.

BibTeX

Wu, Catherine O; Diao, Babacar; Ungi, Tamas; Sedghi, Alireza; Kikinis, Ron; Mousavi, Parvin; Fichtinger, Gabor

Development of an open-source prostate biopsy imaging training system Conference

The 19th Annual Symposium of the Imaging Network of Ontario (ImNO), 2021.

BibTeX

Perera-Ortega, Andrea; Sedghi, Alireza; Isen, Jonah; Vos, Sjoerd B; Mousavi, Parvin; Winston, Gavin P

Machine learning to detect brain lesions in focal epilepsy Inproceedings

In: Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, pp. 1159814, International Society for Optics and Photonics SPIE, 2021.

BibTeX

Wu, Catherine O; Diao, Babacar; Ungi, Tamas; Sedghi, Alireza; Kikinis, Ron; Mousavi, Parvin; Fichtinger, Gabor

Development of an open-source system for prostate biopsy training in Senegal Inproceedings

In: Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, pp. 115982M, International Society for Optics and Photonics SPIE, 2021.

BibTeX

2020

Jamzad, Amoon; Santilli, Alice; Sedghi, Alireza; N.Y.Janssen, Natasja; Kaufmann, Martin; Ren, Kevin Y. M.; Vanderbeck, Kaitlin; Wang, Ami; McKay, Doug; Rudan, John F.; Fichtinger, Gabor; Mousavi, Parvin

Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry Inproceedings

In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 44–53, MICCAI 2020.

Abstract | BibTeX

Chan, Brandon; Chen, Brian; Sedghi, Alireza; Laird, Philip; Maslove, David; Mousavi, Parvin

Generalizable deep temporal models for predicting episodes of sudden hypotension in critically ill patients: a personalized approach Journal Article

In: Scientific Reports, vol. 10, no. 1, pp. 1–10, 2020.

BibTeX

Sedghi, Alireza; Mehrtash, Alireza; Jamzad, Amoon; Amalou, Amel; III, William M Wells; Kapur, Tina; Kwak, Jin Tae; Turkbey, Baris; Choyke, Peter; Pinto, Peter; Wood, Bradford; Xu, Sheng; Abolmaesumi, Purang; Mousavi, Parvin

Improving Detection of Prostate Cancer Foci via Information Fusion of MRI and Temporal Enhanced Ultrasound Journal Article

In: International Journal of Computer Assisted Radiology and Surgery, special issue of International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), vol. 15, no. 7, pp. 1215–1223, 2020.

BibTeX

Sedghi, Alireza; Mehrtash, Alireza; Jamzad, Amoon; Amalou, Amel; Kwak, Jin Tae; Turkbey, Baris; Choyke, Peter; Pinto, Peter; Wood, Bradford; Xu, Sheng; Abolmaesumi, Purang; Mousavi, Parvin

Visualization of Clinically Significant Prostate Cancer Using Multi-stream U-Nets Conference

The 18th Annual Symposium of the Imaging Network of Ontario (ImNO), 2020.

BibTeX

Connolly, Laura; Jamzad, Amoon; Kaufmann, Martin; Rubino, Rachel; Sedghi, Alireza; Ungi, Tamas; Asselin, Mark; Yam, Scott; Rudan, John; Nicol, Christopher; Fichtinger, Gabor; Mousavi, Parvin

Classification of primary cancer and surrounding tissue in breast cancer xenograft models Conference

The 18th Annual Symposium of the Imaging Network of Ontario (ImNO), 2020.

BibTeX

Wang, Jenny; Morse, Nicole; Jamaspishvili, Tamara; Kaufmann, Martin; Ren, Kevin; Sedghi, Alireza; Jamzad, Amoon; Mousavi, Parvin; Berman, David

Desorptive Electrospray Ionization Mass Spectrometry Imaging (DESI-MSI) in the Application of Cancer Identification in Prostate Journal Article

In: The 18th Annual Symposium of the Imaging Network of Ontario (ImNO), 2020.

BibTeX

Grebenisan, Andrew; Sedghi, Alireza; Menard, Alexandre; Izard, Jason; Siemens, Robert; Mousavi, Parvin

Transfer Learning for Prostate Cancer Diagnosis Conference

The 18th Annual Symposium of the Imaging Network of Ontario (ImNO), 2020.

BibTeX

Sedghi, Alireza; Salomons, Gregory; Jutras, Jean-David; Gooding, Jim; Schreiner, John; III, William Wells M; Mousavi, Parvin

Image registration with deep probabilistic classifiers: application in radiation therapy Inproceedings

In: Fei, Baowei; Linte, Cristian A (Ed.): Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, pp. 61 – 66, International Society for Optics and Photonics SPIE, 2020.

Links | BibTeX

Connolly, Laura; Jamzad, Amoon; Kaufmann, Martin; Rubino, Rachel; Sedghi, Alireza; Ungi, Tamas; Asselin, Mark; Yam, Scott; Rudan, John; Nicol, Christopher; Fichtinger, Gabor; Mousavi, Parvin

Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study Inproceedings

In: Fei, Baowei; Linte, Cristian A (Ed.): Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, pp. 175 – 183, International Society for Optics and Photonics SPIE, 2020.

Links | BibTeX

Grebenisan, Andrew; Sedghi, Alireza; Menard, Alexandre; Izard, Jason; Siemens, Robert; Mousavi, Parvin

Towards democratizing AI in MR-based prostate cancer diagnosis: 3.0 to 1.5 Tesla Inproceedings

In: Fei, Baowei; Linte, Cristian A (Ed.): Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, pp. 184–189, International Society for Optics and Photonics SPIE, 2020.

Links | BibTeX

2019

Sedghi, Alireza; Pesteie, Mehran; Javadi, Golara; Azizi, Shekoofeh; Yan, Pingkun; Kwak, Jin Tae; Xu, Sheng; Turkbey, Baris; Choyke, Peter; Pinto, Peter; Wood, Bradford; Rohling, Robert; Abolmaesumi, Purang; Mousavi, Parvin

Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. Journal Article

In: Int J Comput Assist Radiol Surg, 2019, ISSN: 1861-6429.

Abstract | Links | BibTeX

Luo, J; Frisken, S; Popuri, K; Cobzas, D; Zhang, M; Preiswerk, F; Sedghi, A; Toews, M; Golby, A; Sugiyama, M; Wells, M

On the Applicability of Registration Uncertainty Proceeding

2019.

BibTeX

Chan, B; Sedghi, A; Laird, P; Maslove, D; Mousavi, P

Prediction of Patient-specific Acute Hypotensive Episodes in ICU Using Deep Models Proceeding

2019.

BibTeX

Chan, B; Sedghi, A; Laird, P; Maslove, D; Mousavi, P

Predictive Modeling using Intensive Care Unit Data: Considerations for Data Pre-processing and Analysis Proceeding

2019.

BibTeX

Pyman, Blake; Sedghi, Alireza; Azizi, Shekoofeh; Tyryshkin, Kathrin; Renwick, Neil; Mousavi, Parvin

Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier Conference

2019.

Links | BibTeX

Gasmallah, Mohammed; Zulkernine, Farhana; Rivest, Francois; Mousavi, Parvin; Sedghi, Alireza

Fully End-To-End Super-Resolved Bone Age Estimation Conference

Advances in Artificial Intelligence, Springer International Publishing Springer International Publishing, Cham, 2019, ISBN: 978-3-030-18305-9.

Abstract | BibTeX

Sedghi, Alireza; Luo, Jie; Mehrtash, Alireza; Pieper, Steve; Tempany, Clare; Kapur, Tina; Mousavi, Parvin; Wells, William

Semi-supervised image registration using deep learning Conference

2019.

Links | BibTeX

Sedghi, Alireza; Hamidi, Soheil; Mehrtash, Alireza; Ziegler, Erik; Tempany, Clare; Pieper, Steve; Kapur, Tina; Mousavi, Parvin

Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging Conference

2019.

Links | BibTeX

2018

Luo, Jie; Frisken, Sarah; Machado, Ines; Zhang, Miaomiao; Pieper, Steve; Golland, Polina; Toews, Matthew; Unadkat, Prashin; Sedghi, Alireza; Zhou, Haoyin; Mehrtash, Alireza; Preiswerk, Frank; Cheng, Cheng-Chieh; Golby, Alexandra; Sugiyama, Masashi; Wells, William M

Using the variogram for vector outlier screening: application to feature-based image registration. Journal Article

In: Int J Comput Assist Radiol Surg, vol. 13, pp. 1871-1880, 2018, ISSN: 1861-6429.

Abstract | Links | BibTeX

Sedghi, Alireza; Hamidi, Soheil; Mehrtash, Alireza; Ziegler, Erik; Tempany, Clare; Pieper, Steve; Kapur, Tina; Mousavi, Parvin

PI-RADS Trainer: An open-source prostate mpMRI web viewer and reporting platform for educational training Conference

Third Global Summit on Precision Diagnosis and Treatment of Prostate Cancer, 2018, 2018.

BibTeX

Sedghi, Alireza; Luo, Jie; Mehrtash, Alireza; Pieper, Steve; Tempany, Clare; Kapur, Tina; Mousavi, Parvin; Wells, William

Deep Information Theoretic Registration Booklet

2018.

BibTeX

Luo, Jie; Toews, Matthew; Machado, Ines; Frisken, Sarah; Zhang, Miaomiao; Preiswerk, Frank; Sedghi, Alireza; Ding, Hongyi; Pieper, Steve; Golland, Polina; Golby, Alexandra; Sugiyama, Masashi; III, William M Wells

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation Conference

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Springer International Publishing Springer International Publishing, Cham, 2018, ISBN: 978-3-030-00937-3.

Abstract | BibTeX

2017

Sedghi, Alireza; Azizi, Shekoofeh; Yan, Pingkun; Kwak, Jin Tae; Xu, Sheng; Turkbey, Baris; Choyke, Peter; Pinto, Peter; Wood, Bradford; Abolmaesumi, Purang; Mousavi, Parvin

A Deep Learning Model for Detection of PCa in Cores with Noisy Labels Conference

Second Global Summit on Precision Diagnosis for Prostate Cancer, 2017, 2017.

BibTeX

Behnami, Delaram; Sedghi, Alireza; Anas, Emran Mohammad Abu; Rasoulian, Abtin; Seitel, Alexander; Lessoway, Victoria; Ungi, Tamas; Yen, David; Osborn, Jill; Mousavi, Parvin; Rohling, Robert; Abolmaesumi, Purang

Model-based registration of preprocedure MR and intraprocedure US of the lumbar spine. Journal Article

In: Int J Comput Assist Radiol Surg, vol. 12, pp. 973-982, 2017, ISSN: 1861-6429.

Abstract | Links | BibTeX

Mehrtash, Alireza; Sedghi, Alireza; Ghafoorian, Mohsen; Taghipour, Mehdi; Tempany, Clare M; Wells, William M; Kapur, Tina; Mousavi, Parvin; Abolmaesumi, Purang; Fedorov, Andriy

Classification of Clinical Significance of MRI Prostate Findings Using 3D Convolutional Neural Networks. Journal Article

In: Proc SPIE Int Soc Opt Eng, vol. 10134, 2017, ISSN: 0277-786X.

Abstract | Links | BibTeX

Behnami, Delaram; Sedghi, Alireza; Anas, Emran Mohammad Abu; Rasoulian, Abtin; Seitel, Alexander; Lessoway, Victoria; Ungi, Tamas; Yen, David; Osborn, Jill; Mousavi, Parvin; others,

Model-based registration of preprocedure MR and intraprocedure US of the lumbar spine Journal Article

In: International journal of computer assisted radiology and surgery, vol. 12, pp. 973–982, 2017.

BibTeX