| Adaptive noise variance estimation in BayesShrink M Hashemi, S Beheshti IEEE Signal Processing Letters 17 (1), 12-15, 2009 | 102 | 2009 |
| PUMA: Performance Unchanged Model Augmentation for Training Data Removal G Wu, M Hashemi, C and Srinivasa AAAI22, 2022 | 68 | 2022 |
| PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards M Hashemi, A Fathi https://arxiv.org/abs/2008.10138, 2020 | 49 | 2020 |
| On estimating the directionality distribution in pedicle trabecular bone from micro-CT images. C Gdyczynski, A Manbachi, SM Hashemi, B Lashkari, RSC Cobbold Physiological Measurements 35 (12), 2415-2428, 2014 | 46 | 2014 |
| Adaptively Tuned Iterative Low Dose CT Image Denoising SM Hashemi, NS Paul, S Beheshti, RSC Cobbold Computational and Mathematical Methods in Medicine 2015, 2015 | 40 | 2015 |
| Technical principles of dual-energy cone beam computed tomography and clinical applications for radiation therapy S Sajja, Y Lee, M Eriksson, H Nordström, A Sahgal, M Hashemi, ... Advances in radiation oncology 5 (1), 1-16, 2020 | 38 | 2020 |
| MRI-based automated detection of implanted low dose rate (LDR) brachytherapy seeds using quantitative susceptibility mapping (QSM) and unsupervised machine learning (ML) R Nosrati, A Soliman, H Safigholi, M Hashemi, M Wronski, G Morton, ... Radiotherapy and Oncology 129 (3), 540-547, 2018 | 35 | 2018 |
| Noise invalidation denoising S Beheshti, M Hashemi, XP Zhang, N Nikvand IEEE Transactions on Signal Processing 58 (12), 6007-6016, 2010 | 33 | 2010 |
| Adaptive Bayesian Denoising for General Gaussian Distributed (GGD) Signals M Hashemi, S Beheshti Signal Processing, IEEE Transaction 62 (5), 1147-1156, 0 | 33* | |
| Accelerated Compressed Sensing Based CT Image Reconstruction SM Hashemi, S Beheshti, PR Gill, NS Paul, RSC Cobbold Computational and Mathematical Methods in Medicine 2015, 2015 | 25 | 2015 |
| Similarity Validation Based Nonlocal Means Image Denoising M Sharifymoghaddam, S Beheshti, P Elahi, M Hashemi IEEE Signal Processing Letters 22 (12), 2185 - 2188, 2015 | 20 | 2015 |
| Fast fan/parallel beam CS-based low-dose CT reconstruction M Hashemi, S Beheshti, P Gill, N Paul, R Cobbold ICASSP 2013, 1099 - 1103, 2013 | 18 | 2013 |
| Method and system for compressed sensing image reconstruction SMH Amroabadi, PR Gill US Patent 9,373,159, 2016 | 17 | 2016 |
| Adaptive image denoising by rigorous Bayesshrink thresholding SM Hashemi, S Beheshti Statistical Signal Processing Workshop (SSP), 2011 IEEE, 713-716, 2011 | 16 | 2011 |
| Simultaneous deblurring and iterative reconstruction of CBCT for image guided brain radiosurgery SM Hashemi, WY Song, A Sahgal, Y Lee, C Huynh, V Grouza, ... Physics in Medicine and Biology 62 (7), 2521, 2017 | 14 | 2017 |
| Optimal image reconstruction for detection and characterization of small pulmonary nodules during low-dose CT SM Hashemi, H Mehrez, SCR Cobbold, SN Paul European Radiology, 2014 | 14 | 2014 |
| Adaptive updating of regularization parameters SM Hashemi, S Beheshti, RSC Cobbold, N Paul Signal Processing 113, 228-233, 2015 | 8 | 2015 |
| Non-local total variation based low-dose Computed Tomography denoising SM Hashemi, S Beheshti, RSC Cobbold, NS Paul 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 8 | 2014 |
| Machine Learning for Yield Curve Feature Extraction: Application to Illiquid Corporate Bonds G Kirczenow, M Hashemi, A Fathi, M Davison Arxiv, 2018 | 7 | 2018 |
| Subband-dependent compressed sensing in local CT reconstruction SM Hashemi, S Beheshti, RSC Cobbold, NS Paul Signal, Image and Video Processing 10, 1009-1015, 2016 | 6 | 2016 |
Arjun SahgalRadiation Oncology, Sunnybrook Health Sciences CentreVerified email at sunnybrook.ca