| Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge BM Spyridon Bakas, Mauricio Reyes, et Int arXiv preprint arXiv:1811.02629, 2018 | 1614 | 2018 |
| Weighted extreme learning machine for imbalance learning W Zong, GB Huang, Y Chen Neurocomputing 101, 229-242, 2013 | 780 | 2013 |
| Face recognition based on extreme learning machine W Zong, GB Huang Neurocomputing 74 (16), 2541-2551, 2011 | 267 | 2011 |
| Liver tumor detection and segmentation using kernel-based extreme learning machine W Huang, N Li, Z Lin, GB Huang, W Zong, J Zhou, Y Duan 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 97 | 2013 |
| Face recognition based on kernelized extreme learning machine W Zong, H Zhou, GB Huang, Z Lin International Conference on Autonomous and Intelligent Systems, 263-272, 2011 | 53 | 2011 |
| Segmentation of the prostatic gland and the intraprostatic lesions on multiparametic magnetic resonance imaging using mask region-based convolutional neural networks Z Dai, E Carver, C Liu, J Lee, A Feldman, W Zong, M Pantelic, M Elshaikh, ... Advances in radiation oncology 5 (3), 473-481, 2020 | 43 | 2020 |
| Learning to rank with extreme learning machine W Zong, GB Huang Neural processing letters 39, 155-166, 2014 | 43 | 2014 |
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC … A Crimi, S Bakas, H Kuijf, B Menze, M Reyes Springer, 2018 | 32 | 2018 |
| Automatic brain tumor segmentation and overall survival prediction using machine learning algorithms E Carver, C Liu, W Zong, Z Dai, JM Snyder, J Lee, N Wen Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 27 | 2019 |
| Automatic brain tumor segmentation using a U-net neural network E Caver, L Chang, W Zong, Z Dai, N Wen Pre-conference proceedings of the 7th MICCAI BraTS challenge 63, 2018 | 18 | 2018 |
| A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network W Zong, JK Lee, C Liu, EN Carver, AM Feldman, B Janic, MA Elshaikh, ... Medical physics 47 (9), 4077-4086, 2020 | 15 | 2020 |
| Two-step fault diagnosis framework for rolling element bearings with imbalanced data based on GSA-WELM and GSA-ELM Y Lan, X Han, W Zong, X Ding, X Xiong, J Huang, B Ma Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2018 | 10 | 2018 |
| Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic MRI Using Mask-RCNN Z Dai, E Carver, C Liu, J Lee, A Feldman, W Zong, M Pantelic, M Elshaikh, ... arXiv preprint arXiv:1904.02575, 2019 | 5 | 2019 |
| A two-step fault diagnosis framework for rolling element bearings with imbalanced data Y Lan, W Zong, X Ding, X Xiong, X Han, J Huang, B Ma 2016 13th International Conference on Ubiquitous Robots and Ambient …, 2016 | 4 | 2016 |
| Prostate cancer malignancy detection and localization from mpMRI using auto-deep learning as one step closer to clinical utilization W Zong, E Carver, S Zhu, E Schaff, D Chapman, J Lee, ... Scientific Reports 12 (1), 22430, 2022 | 3 | 2022 |
| Ovarian reserve in premenopausal women with breast cancer X Zong, Y Yu, W Chen, W Zong, H Yang, X Chen The Breast 64, 143-150, 2022 | 2 | 2022 |
| Prediction of Gleason grade group of prostate cancer on multiparametric MRI using deep machine learning models W Zong, J Lee, M Pantelic, N Wen International Journal of Radiation Oncology, Biology, Physics 108 (2), E9-E10, 2020 | 2 | 2020 |
| Overall survival prediction of glioblastoma patients combining clinical factors with texture features extracted from 3-D convolutional neural networks W Zong, J Lee, C Liu, J Snyder, N Wen Cancer Research 79 (13_Supplement), 3351-3351, 2019 | 2 | 2019 |
| Overall Survival Prediction in Glioblastoma Using Clinical Factors Combined with Texture Features Extracted from 3D Convolutional Neural Networks JK Lee, WW Zong, Z Dai, C Liu, J Snyder, NW Wen | 1 | 2019 |
| Online Sequential Learning based on Enhanced Extreme Learning Machine using Left or Right Pseudo-inverse W Zong, Y Lan, G Huang International Conference on Pattern Recognition Applications and Methods …, 2012 | 1 | 2012 |
Guang-Bin HuangFull Professor, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
