Alireza Sedghi

According to our database, Alireza Sedghi authored at least 31 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

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

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

Deep image clustering for standardization of radiological workflows.

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

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

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

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, Ami Wang, Gabor Fichtinger, John F. Rudan, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., 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

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 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

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 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, Parvin Mousavi

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Spatial Decomposition For Robust Domain Adaptation In Prostate Cancer Detection.

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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Theoretical and Practical Considerations of Learning Algorithms in Image-guided Interventions

Alireza Sedghi

PhD thesis, 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, Purang Abolmaesumi, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., 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

Proceedings of the Medical Imaging 2020: 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

Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 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

Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Deep Information Theoretic Registration.

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

CoRR, 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, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Robert Rohling, Purang Abolmaesumi, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., 2019

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

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

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Semi-supervised image registration using deep learning.

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

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 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, Tina Kapur, Parvin Mousavi

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty.

Alireza Sedghi, Tina Kapur, Jie Luo, Parvin Mousavi, William M. Wells III

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

On the Applicability of Registration Uncertainty.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

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

Brandon Chan, Alireza Sedghi, Philip Laird, David Maslove, Parvin Mousavi

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

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

Mohammed Gasmallah, Farhana H. Zulkernine, François Rivest, Parvin Mousavi, Alireza Sedghi

Proceedings of the Advances in Artificial Intelligence, 2019

2018

Semi-Supervised Deep Metrics for Image Registration.

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

CoRR, 2018

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

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

Int. J. Comput. Assist. Radiol. Surg., 2018

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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

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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017