Weiwei Zong
Title
Cited by
Cited by
Year
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
6782018
Weighted extreme learning machine for imbalance learning
W Zong, GB Huang, Y Chen
Neurocomputing 101, 229-242, 2013
6102013
Face recognition based on extreme learning machine
W Zong, GB Huang
Neurocomputing 74 (16), 2541-2551, 2011
2332011
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
722013
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
442011
Learning to rank with extreme learning machine
W Zong, GB Huang
Neural processing letters 39 (2), 155-166, 2014
412014
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
272018
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
142020
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
International MICCAI Brainlesion Workshop, 406-418, 2018
112018
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, 63-73, 2018
62018
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
42018
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
32016
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
22020
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
22019
Prediction of Gleason Grade Group of Prostate Cancer on Multiparametric MRI using Deep Machine Learning Models
W Zong, J Lee, M Pantelic, N Wen
12020
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
12019
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
12012
Gleason grade group predictions from mp-MRI of prostate cancer patients using auto deep learning
W Zong, E Carver, A Feldman, J Lee, Z Sun, L Xu, A Dabaja, N Wen
Cancer Research 81 (13 Supplement), 186-186, 2021
2021
Utilizing Semi-Supervised Learning and Image Matting in Combination With Mask R-CNN for Accurate Dominant Intraprostatic Lesion Identification and Segmentation on …
AM Feldman, Z Dai, W Zong, M Pantelic, MA Elshaikh, N Wen
International Journal of Radiation Oncology, Biology, Physics 108 (3), e257, 2020
2020
Molecular subtype stratification for prostate cancer from mpMRI and histopathology images using convolutional neural networks and transfer learning
W Zong, EN Carver, A Feldman, N Palanisamy, N Wen
Cancer Research 80 (16 Supplement), 5302-5302, 2020
2020
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