Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. - Alireza Mehrtash; Alireza Sedghi; Mohsen Ghafoorian; Mehdi Taghipour; Clare M. Tempany; William M. Wells III; Tina Kapur; Parvin Mousavi; Purang Abolmaesumi; Andriy Fedorov (Computer-Aided Diagnosis, 2017)

Model-based registration of preprocedure MR and intraprocedure US of the lumbar spine. - Delaram Behnami; Alireza Sedghi; Emran Mohammad Abu Anas; Abtin Rasoulian; Alexander Seitel; Victoria A. Lessoway; Tamas Ungi; David Yen; Jill Osborn; Parvin Mousavi; Robert Rohling; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2017)

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. - Jie Luo 003; Matthew Toews; Inês Machado; Sarah F. Frisken; Miaomiao Zhang 002; Frank Preiswerk; Alireza Sedghi; Hongyi Ding; Steve Pieper 001; Polina Golland; Alexandra J. Golby; Masashi Sugiyama; et al. (MICCAI (4), 2018)

Using the variogram for vector outlier screening: application to feature-based image registration. - Jie Luo 003; Sarah F. Frisken; Inês Machado; Miaomiao Zhang 002; Steve Pieper 001; Polina Golland; Matthew Toews; Prashin Unadkat; Alireza Sedghi; Haoyin Zhou; Alireza Mehrtash; Frank Preiswerk; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Semi-Supervised Deep Metrics for Image Registration. - Alireza Sedghi; Jie Luo 003; Alireza Mehrtash; Steve Pieper 001; Clare M. Tempany; Tina Kapur; Parvin Mousavi; William M. Wells III (CoRR, 2018)

Fully End-To-End Super-Resolved Bone Age Estimation. - Mohammed Gasmallah; Farhana H. Zulkernine; François Rivest; Parvin Mousavi; Alireza Sedghi (Canadian AI, 2019)

Prediction of Patient-specific Acute Hypotensive Episodes in ICU Using Deep Models. - Brandon Chan; Alireza Sedghi; Philip Laird; David Maslove; Parvin Mousavi (EMBC, 2019)

Predictive Modeling using Intensive Care Unit Data: Considerations for Data Pre-processing and Analysis. - Brandon Chan; Alireza Sedghi; Philip Laird; David Maslove; Parvin Mousavi (EMBC, 2019)

On the Applicability of Registration Uncertainty. - Jie Luo 003; Alireza Sedghi; Karteek Popuri; Dana Cobzas; Miaomiao Zhang 002; Frank Preiswerk; Matthew Toews; Alexandra J. Golby; Masashi Sugiyama; William M. Wells III; Sarah F. Frisken (MICCAI (2), 2019)

Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty. - Alireza Sedghi; Tina Kapur; Jie Luo 003; Parvin Mousavi; William M. Wells III (UNSURE/CLIP@MICCAI, 2019)

Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging. - Alireza Sedghi; Soheil Hamidi; Alireza Mehrtash; Erik Ziegler; Clare M. Tempany; Steve Pieper 001; Tina Kapur; Parvin Mousavi (Image-Guided Procedures, 2019)

Semi-supervised image registration using deep learning. - Alireza Sedghi; Jie Luo 003; Alireza Mehrtash; Steve Pieper 001; Clare M. Tempany; Tina Kapur; Parvin Mousavi; William M. Wells III (Image-Guided Procedures, 2019)

Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier. - Blake Pyman; Alireza Sedghi; Shekoofeh Azizi; Kathrin Tyryshkin; Neil Renwick; Parvin Mousavi (PSB, 2019)

Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. - Alireza Sedghi; Mehran Pesteie; Golara Javadi; Shekoofeh Azizi; Pingkun Yan; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Robert Rohling; et al. (Int. J. Comput. Assist. Radiol. Surg., 2019)

Deep Information Theoretic Registration. - Alireza Sedghi; Jie Luo 003; Alireza Mehrtash; Steve Pieper 001; Clare M. Tempany; Tina Kapur; Parvin Mousavi; William M. Wells III (CoRR, 2019)

Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry. - Amoon Jamzad; Alireza Sedghi; Alice M. L. Santilli; Natasja N. Y. Janssen; Martin Kaufmann; Kevin Yi Mi Ren; Kaitlin Vanderbeck; Ami Wang; Doug McKay; John F. Rudan; Gabor Fichtinger; Parvin Mousavi (MICCAI (3), 2020)

Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study. - Laura Connolly; Amoon Jamzad; Martin Kaufmann; Rachel Rubino; Alireza Sedghi; Tamas Ungi; Mark Asselin; Scott Yam; John F. Rudan; Christopher Nicol; Gabor Fichtinger; Parvin Mousavi (Image-Guided Procedures, 2020)

Towards democratizing AI in MR-based prostate cancer diagnosis: 3.0 to 1.5 Tesla. - Andrew Grebenisan; Alireza Sedghi; Alexandre Menard; Jason Izard; Robert Siemens; Parvin Mousavi (Image-Guided Procedures, 2020)

Image registration with deep probabilistic classifiers: application in radiation therapy. - Alireza Sedghi; Gregory Salomons; Jean-David Jutras; Jim Gooding; L. John Schreiner; William M. Wells III; Parvin Mousavi (Image-Guided Procedures, 2020)

Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. - Alireza Sedghi; Alireza Mehrtash; Amoon Jamzad; Amel Amalou; William M. Wells III; Tina Kapur; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Sheng Xu 001; et al. (Int. J. Comput. Assist. Radiol. Surg., 2020)

Theoretical and Practical Considerations of Learning Algorithms in Image-guided Interventions - Alireza Sedghi (2020)

Spatial Decomposition For Robust Domain Adaptation In Prostate Cancer Detection. - Andrew Grebenisan; Alireza Sedghi; Jason Izard; Robert Siemens; Alexandre Menard; Parvin Mousavi (ISBI, 2021)

Self-Supervised Learning For Detection Of Breast Cancer In Surgical Margins With Limited Data. - Alice M. L. Santilli; Amoon Jamzad; Alireza Sedghi; Martin Kaufmann; Shaila Merchant; Cecil Jay Engel; Kathryn Logan; Julie Wallis; Natasja N. Y. Janssen; Sonal Varma; Gabor Fichtinger; John F. Rudan; et al. (ISBI, 2021)

Machine learning to detect brain lesions in focal epilepsy. - Andrea Perera-Ortega; Alireza Sedghi; Jonah Isen; Sjoerd B. Vos; Parvin Mousavi; Gavin P. Winston (Image-Guided Procedures, 2021)

Development of an open-source system for prostate biopsy training in Senegal. - Catherine O. Wu; Babacar Diao; Tamas Ungi; Alireza Sedghi; Ron Kikinis; Parvin Mousavi; Gabor Fichtinger (Image-Guided Procedures, 2021)

Domain adaptation and self-supervised learning for surgical margin detection. - Alice M. L. Santilli; Amoon Jamzad; Alireza Sedghi; Martin Kaufmann; Kathryn Logan; Julie Wallis; Kevin Yi Mi Ren; Natasja N. Y. Janssen; Shaila Merchant; Cecil Jay Engel; Doug McKay; Sonal Varma; et al. (Int. J. Comput. Assist. Radiol. Surg., 2021)

Image registration: Maximum likelihood, minimum entropy and deep learning. - Alireza Sedghi; Lauren J. O'Donnell; Tina Kapur; Erik G. Learned-Miller; Parvin Mousavi; William M. Wells III (Medical Image Anal., 2021)

Deep image clustering for standardization of radiological workflows. - Dhruv Patel; Erik Ziegler; Rob Lewis; Parvin Mousavi; Alireza Sedghi (Image-Guided Procedures, 2022)

Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures. - Emily Kaczmarek; Jina Nanayakkara; Alireza Sedghi; Mehran Pesteie; Thomas Tuschl; Neil Renwick; Parvin Mousavi (BMC Bioinform., 2022)

Towards targeted ultrasound-guided prostate biopsy by incorporating model and label uncertainty in cancer detection. - Golara Javadi; Sharareh Bayat; Mohammad Mahdi Kazemi Esfeh; Samareh Samadi; Alireza Sedghi; Samira Sojoudi; Antonio Hurtado; Silvia D. Chang; Peter C. Black; Parvin Mousavi; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2022)

Attention-based multi-instance learning for improved glioblastoma detection using mass spectrometry. - Dilakshan Srikanthan; Martin Kaufmann; Amoon Jamzad; Ayesha Syeda; Alice M. L. Santilli; Alireza Sedghi; Gabor Fichtinger; Jamie Purzner; John F. Rudan; Teresa Purzner; Parvin Mousavi (Image-Guided Procedures, 2023)