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ORCIDAlireza Sedghi
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2020 – today
- 2023
[c20]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:
Attention-based multi-instance learning for improved glioblastoma detection using mass spectrometry. Image-Guided Procedures 2023- 2022
- [j8]Emily Kaczmarek, Jina Nanayakkara, Alireza Sedghi, Mehran Pesteie, Thomas Tuschl, Neil Renwick, Parvin Mousavi:
Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures. BMC Bioinform. 23(1): 38 (2022) - [j7]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:
Towards targeted ultrasound-guided prostate biopsy by incorporating model and label uncertainty in cancer detection. Int. J. Comput. Assist. Radiol. Surg. 17(1): 121-128 (2022) - [c19]Dhruv Patel, Erik Ziegler, Rob Lewis, Parvin Mousavi, Alireza Sedghi:
Deep image clustering for standardization of radiological workflows. Image-Guided Procedures 2022 - 2021
- [j6]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, Ami Wang, Gabor Fichtinger, John F. Rudan, Parvin Mousavi:
Domain adaptation and self-supervised learning for surgical margin detection. Int. J. Comput. Assist. Radiol. Surg. 16(5): 861-869 (2021) - [j5]Alireza Sedghi, Lauren J. O'Donnell, Tina Kapur, Erik G. Learned-Miller, Parvin Mousavi, William M. Wells III:
Image registration: Maximum likelihood, minimum entropy and deep learning. Medical Image Anal. 69: 101939 (2021) - [c18]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, Parvin Mousavi:
Self-Supervised Learning For Detection Of Breast Cancer In Surgical Margins With Limited Data. ISBI 2021: 980-984 - [c17]Andrew Grebenisan, Alireza Sedghi, Jason Izard, Robert Siemens, Alexandre Menard, Parvin Mousavi:
Spatial Decomposition For Robust Domain Adaptation In Prostate Cancer Detection. ISBI 2021: 1218-1222 - [c16]Andrea Perera-Ortega, Alireza Sedghi, Jonah Isen, Sjoerd B. Vos, Parvin Mousavi, Gavin P. Winston:
Machine learning to detect brain lesions in focal epilepsy. Image-Guided Procedures 2021 - [c15]Catherine O. Wu, Babacar Diao, Tamas Ungi, Alireza Sedghi, Ron Kikinis, Parvin Mousavi, Gabor Fichtinger:
Development of an open-source system for prostate biopsy training in Senegal. Image-Guided Procedures 2021 - 2020
- [b1]Alireza Sedghi:
Theoretical and Practical Considerations of Learning Algorithms in Image-guided Interventions. Queen's University at Kingston, Ontario, Canada, 2020 - [j4]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, Purang Abolmaesumi, Parvin Mousavi:
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1215-1223 (2020) - [c14]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:
Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry. MICCAI (3) 2020: 44-53 - [c13]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:
Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study. Image-Guided Procedures 2020: 113150Q - [c12]Andrew Grebenisan, Alireza Sedghi, Alexandre Menard, Jason Izard, Robert Siemens, Parvin Mousavi:
Towards democratizing AI in MR-based prostate cancer diagnosis: 3.0 to 1.5 Tesla. Image-Guided Procedures 2020: 113150R - [c11]Alireza Sedghi, Gregory Salomons, Jean-David Jutras, Jim Gooding, L. John Schreiner, William M. Wells III, Parvin Mousavi:
Image registration with deep probabilistic classifiers: application in radiation therapy. Image-Guided Procedures 2020: 1131509
2010 – 2019
- 2019
- [j3]Alireza Sedghi, Mehran Pesteie, Golara Javadi, Shekoofeh Azizi, Pingkun Yan, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Robert Rohling, Purang Abolmaesumi, Parvin Mousavi:
Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1009-1016 (2019) - [c10]Mohammed Gasmallah, Farhana H. Zulkernine, François Rivest, Parvin Mousavi, Alireza Sedghi:
Fully End-To-End Super-Resolved Bone Age Estimation. Canadian AI 2019: 498-504 - [c9]Brandon Chan, Alireza Sedghi, Philip Laird, David Maslove, Parvin Mousavi:
Prediction of Patient-specific Acute Hypotensive Episodes in ICU Using Deep Models. EMBC 2019: 566-569 - [c8]Brandon Chan, Alireza Sedghi, Philip Laird, David Maslove, Parvin Mousavi:
Predictive Modeling using Intensive Care Unit Data: Considerations for Data Pre-processing and Analysis. EMBC 2019: 3429-3432 - [c7]Alireza Sedghi, Tina Kapur, Jie Luo, Parvin Mousavi, William M. Wells III:
Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty. UNSURE/CLIP@MICCAI 2019: 12-22 - [c6]Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Matthew Toews, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III, Sarah F. Frisken:
On the Applicability of Registration Uncertainty. MICCAI (2) 2019: 410-419 - [c5]Alireza Sedghi, Soheil Hamidi, Alireza Mehrtash, Erik Ziegler, Clare M. Tempany, Steve Pieper, Tina Kapur, Parvin Mousavi:
Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging. Image-Guided Procedures 2019: 109511R - [c4]Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III:
Semi-supervised image registration using deep learning. Image-Guided Procedures 2019: 109511G - [c3]Blake Pyman, Alireza Sedghi, Shekoofeh Azizi, Kathrin Tyryshkin, Neil Renwick, Parvin Mousavi:
Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier. PSB 2019: 160-171 - [i3]Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III:
Deep Information Theoretic Registration. CoRR abs/1901.00040 (2019) - 2018
- [j2]Jie Luo, Sarah F. Frisken, Inês Machado, Miaomiao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashin Unadkat, Alireza Sedghi, Haoyin Zhou, Alireza Mehrtash, Frank Preiswerk, Cheng-Chieh Cheng, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
Using the variogram for vector outlier screening: application to feature-based image registration. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1871-1880 (2018) - [c2]Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. MICCAI (4) 2018: 30-38 - [i2]Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. CoRR abs/1803.07682 (2018) - [i1]Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III:
Semi-Supervised Deep Metrics for Image Registration. CoRR abs/1804.01565 (2018) - 2017
- [j1]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:
Model-based registration of preprocedure MR and intraprocedure US of the lumbar spine. Int. J. Comput. Assist. Radiol. Surg. 12(6): 973-982 (2017) - [c1]Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov:
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. Computer-Aided Diagnosis 2017: 101342A
Coauthor Index
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