| Fast YOLO: A fast you only look once system for real-time embedded object detection in video MJ Shafiee, B Chywl, F Li, A Wong arXiv preprint arXiv:1709.05943, 2017 | 393 | 2017 |
| Tiny SSD: A tiny single-shot detection deep convolutional neural network for real-time embedded object detection A Womg, MJ Shafiee, F Li, B Chwyl 2018 15th Conference on computer and robot vision (CRV), 95-101, 2018 | 214 | 2018 |
| YOLO nano: A highly compact you only look once convolutional neural network for object detection A Wong, M Famuori, MJ Shafiee, F Li, B Chwyl, J Chung 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive …, 2019 | 157 | 2019 |
| Do explanations reflect decisions? A machine-centric strategy to quantify the performance of explainability algorithms ZQ Lin, MJ Shafiee, S Bochkarev, MS Jules, XY Wang, A Wong arXiv preprint arXiv:1910.07387, 2019 | 108 | 2019 |
| Discovery radiomics for pathologically-proven computed tomography lung cancer prediction D Kumar, AG Chung, MJ Shaifee, F Khalvati, MA Haider, A Wong Image Analysis and Recognition: 14th International Conference, ICIAR 2017 …, 2017 | 93 | 2017 |
| Learn2perturb: an end-to-end feature perturbation learning to improve adversarial robustness A Jeddi, MJ Shafiee, M Karg, C Scharfenberger, A Wong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 84 | 2020 |
| Ferminets: Learning generative machines to generate efficient neural networks via generative synthesis A Wong, MJ Shafiee, B Chwyl, F Li arXiv preprint arXiv:1809.05989, 2018 | 74 | 2018 |
| MicronNet: A highly compact deep convolutional neural network architecture for real-time embedded traffic sign classification A Wong, MJ Shafiee, MS Jules IEEE Access 6, 59803-59810, 2018 | 70 | 2018 |
| Fluorescence microscopy image noise reduction using a stochastically-connected random field model SA Haider, A Cameron, P Siva, D Lui, MJ Shafiee, A Boroomand, ... Scientific reports 6 (1), 20640, 2016 | 56 | 2016 |
| MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection F Khalvati, J Zhang, AG Chung, MJ Shafiee, A Wong, MA Haider BMC medical imaging 18, 1-14, 2018 | 49 | 2018 |
| Prostate cancer detection via a quantitative radiomics-driven conditional random field framework AG Chung, F Khalvati, MJ Shafiee, MA Haider, A Wong Ieee Access 3, 2531-2541, 2015 | 45 | 2015 |
| Document image binarization using a discriminative structural classifier E Ahmadi, Z Azimifar, M Shams, M Famouri, MJ Shafiee Pattern recognition letters 63, 36-42, 2015 | 44 | 2015 |
| Deep learning with Darwin: Evolutionary synthesis of deep neural networks MJ Shafiee, A Mishra, A Wong Neural processing letters 48 (1), 603-613, 2018 | 43 | 2018 |
| A simple fine-tuning is all you need: Towards robust deep learning via adversarial fine-tuning A Jeddi, MJ Shafiee, A Wong arXiv preprint arXiv:2012.13628, 2020 | 42 | 2020 |
| Covid-net cxr-s: Deep convolutional neural network for severity assessment of covid-19 cases from chest x-ray images H Aboutalebi, M Pavlova, MJ Shafiee, A Sabri, A Alaref, A Wong Diagnostics 12 (1), 25, 2021 | 39 | 2021 |
| Estimating oxygen uptake and energy expenditure during treadmill walking by neural network analysis of easy-to-obtain inputs T Beltrame, R Amelard, R Villar, MJ Shafiee, A Wong, RL Hughson Journal of Applied Physiology 121 (5), 1226-1233, 2016 | 38 | 2016 |
| Fast YOLO: A fast you only look once system for real-time embedded object detection in video. arXiv 2017 MJ Shafiee, B Chywl, F Li, A Wong arXiv preprint arXiv:1709.05943, 0 | 38 | |
| Stochasticnet: Forming deep neural networks via stochastic connectivity MJ Shafiee, P Siva, A Wong IEEE Access 4, 1915-1924, 2016 | 36 | 2016 |
| Attendnets: tiny deep image recognition neural networks for the edge via visual attention condensers A Wong, M Famouri, MJ Shafiee arXiv preprint arXiv:2009.14385, 2020 | 32 | 2020 |
| Embedded Motion Detection via Neural Response Mixture Background Modeling MJ Shafiee, P Siva, P Fieguth, A Wong Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 32 | 2016 |
