| Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks A Mehrtash, A Sedghi, M Ghafoorian, M Taghipour, CM Tempany, ... Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101342A, 2017 | 43 | 2017 |
| Using the variogram for vector outlier screening: application to feature-based image registration J Luo, S Frisken, I Machado, M Zhang, S Pieper, P Golland, M Toews, ... International journal of computer assisted radiology and surgery 13 (12 …, 2018 | 12 | 2018 |
| Structural and Functional Reorganization of the Brain in Migraine Without Aura S Soheili-Nezhad, A Sedghi, F Schweser, A Eslami Shahr Babaki, ... Frontiers in neurology 10, 442, 2019 | 10 | 2019 |
| A feature-driven active framework for ultrasound-based brain shift compensation J Luo, M Toews, I Machado, S Frisken, M Zhang, F Preiswerk, A Sedghi, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 10 | 2018 |
| Semi-Supervised Deep Metrics for Image Registration A Sedghi, J Luo, A Mehrtash, S Pieper, CM Tempany, T Kapur, P Mousavi, ... arXiv preprint arXiv:1804.01565, 2018 | 10 | 2018 |
| Model-based registration of preprocedure MR and intraprocedure US of the lumbar spine D Behnami, A Sedghi, EMA Anas, A Rasoulian, A Seitel, V Lessoway, ... International journal of computer assisted radiology and surgery 12 (6), 973-982, 2017 | 9 | 2017 |
| On the Applicability of Registration Uncertainty J Luo, A Sedghi, K Popuri, D Cobzas, M Zhang, F Preiswerk, M Toews, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 6 | 2019 |
| Semi-supervised image registration using deep learning A Sedghi, J Luo, A Mehrtash, S Pieper, CM Tempany, T Kapur, P Mousavi, ... Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and …, 2019 | 6 | 2019 |
| Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies A Sedghi, M Pesteie, G Javadi, S Azizi, P Yan, JT Kwak, S Xu, B Turkbey, ... International Journal of Computer Assisted Radiology and Surgery, 1-8, 2019 | 6 | 2019 |
| Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty A Sedghi, T Kapur, J Luo, P Mousavi, WM Wells Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019 | 4 | 2019 |
| Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging A Sedghi, S Hamidi, A Mehrtash, E Ziegler, C Tempany, S Pieper, T Kapur, ... Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and …, 2019 | 4 | 2019 |
| Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier B Pyman, A Sedghi, S Azizi, K Tyryshkin, N Renwick, P Mousavi | 4 | 2019 |
| Generalizable deep temporal models for predicting episodes of sudden hypotension in critically ill patients: a personalized approach B Chan, B Chen, A Sedghi, P Laird, D Maslove, P Mousavi Scientific Reports 10 (1), 1-10, 2020 | 1 | 2020 |
| Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. A Sedghi, A Mehrtash, A Jamzad, A Amalou, WMW III, T Kapur, JT Kwak, ... International journal of computer assisted radiology and surgery, 2020 | 1 | 2020 |
| Fully End-To-End Super-Resolved Bone Age Estimation M Gasmallah, F Zulkernine, F Rivest, P Mousavi, A Sedghi Canadian Conference on Artificial Intelligence, 498-504, 2019 | 1 | 2019 |
| Deep Information Theoretic Registration A Sedghi, J Luo, A Mehrtash, S Pieper, CM Tempany, T Kapur, P Mousavi, ... arXiv preprint arXiv:1901.00040, 2018 | 1 | 2018 |
| Image Registration: Maximum Likelihood, Minimum Entropy and Deep Learning A Sedghi, LJ O’Donnell, T Kapur, E Learned-Miller, P Mousavi, ... Medical Image Analysis, 101939, 2020 | | 2020 |
| Attitudes and experience of urology trainees in interpreting prostate magnetic resonance imaging C Rodrigues, K Visram, A Sedghi, P Mousavi, DR Siemens Canadian Urological Association Journal 15 (5), 2020 | | 2020 |
| Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry A Jamzad, A Sedghi, AML Santilli, NNY Janssen, M Kaufmann, KYM Ren, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | | 2020 |
| Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study L Connolly, A Jamzad, M Kaufmann, R Rubino, A Sedghi, T Ungi, ... Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and …, 2020 | | 2020 |
Tina KapurBrigham and Women's Hospital, Harvard Medical SchoolVerified email at bwh.harvard.edu
