A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes. C Li, X Wang, S Eberl, M Fulham, Y Yin, J Chen, D Feng IEEE transactions on bio-medical engineering 60 (10), 2967-77, 2013 | 143 | 2013 |
Epileptic seizure detection with EEG textural features and imbalanced classification based on EasyEnsemble learning XWQY Chengfa Sun, Hui Cui, Weidong Zhou, Weiwei Nie International Journal of Neural Systems, 2019 | 77 | 2019 |
18F-FDG PET/CT radiomic predictors of pathologic complete response (pCR) to neoadjuvant chemotherapy in breast cancer patients GH 3. Panli Li #, Xiuying Wang #, Chongrui Xu#, Cheng Liu, Chaojie Zheng ... European Journal of Nuclear Medicine and Molecular Imaging, 2020 | 73 | 2020 |
Integrative Nomogram of CT Imaging, Clinical and Hematological Features for Survival Prediction of Patients with Locally Advanced Non-Small Cell Lung Cancer JY 9. Linlin Wang1#, Taotao Dong2#, Bowen Xin, Chongrui Xu3, Meiying Guo1,4 ... European Radiology, 2019 | 61 | 2019 |
A Unified Collaborative Multi-kernel Fuzzy Clustering for Multiview Data S Zeng, X Wang, H Cui, C Zheng, D Feng IEEE Transactions on Fuzzy Systems, 2017 | 61 | 2017 |
machine learning models for Multiparametric glioma grading with quantitative result interpretations YL 8. Xiuying Wang*, Zhigang Yao, Dingqian Wang, Bowen Xin, Dazhong He Frontiers in Neuroscience, 2019 | 60 | 2019 |
Long Noncoding RNA SChLAP1 Forms a Growth-Promoting Complex with HNRNPL in Human Glioblastoma through Stabilization of ACTN4 and Activation of NF-κB SignalingSChLAP1 Forms a … J Ji, R Xu, K Ding, G Bao, X Zhang, B Huang, X Wang, A Martinez, ... Clinical Cancer Research 25 (22), 6868-6881, 2019 | 58 | 2019 |
Dual-stage deep learning framework for pigment epithelium detachment segmentation in polypoidal choroidal vasculopathy DF Y Xu, K Yang, J Kim, X Wang, C Li, Li Su, S Yu, X Xu Biomedical Optics Express, 2017 | 58 | 2017 |
18F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia YZC Hebei Li1,2*, Chongrui Xu3*, Bowen Xin3, Chaojie Zheng3, Yunyun Zhao1 ... Theranostics 9 (16), 4730-4739, 2019 | 53 | 2019 |
Supervised Variational Model with Statistical Inference and its Application of Medical Image Segmentation C Li, X Wang, S Eberl, M Fulham, Y Yin, DD Feng IEEE Trans. Biomedical Engineering, 2014 | 51 | 2014 |
Lung tumor segmentation in PET images using graph cuts C Ballangan, X Wang, M Fulham, S Eberl, DD Feng Computer Methods and Programs in Biomedicine 109 (3), 260-268, 2013 | 49 | 2013 |
A Propagation-DNN: Deep Combination Learning of Multi-level Features for MR Prostate Segmentation DF 7. Y Ke, X. Wang*, Jinman Kim, Mohamed Khadra, Michael Fulham Computer Methods and Programs in Biomedicine 170, 11-21, 2019 | 43 | 2019 |
Learning deep spatial lung features by 3D convolutional neural network for early cancer detection T Jin, H Cui, S Zeng, X Wang 2017 international conference on digital image computing: techniques and …, 2017 | 42 | 2017 |
Multi-task deep learning for medical image computing and analysis: A review Y Zhao, X Wang, T Che, G Bao, S Li Computers in Biology and Medicine, 106496, 2022 | 37 | 2022 |
Kernelized Mahalanobis Distance for Fuzzy Clustering S Zeng, X Wang, X Duan, S Zeng, Z Xiao, D Feng IEEE Transactions on Fuzzy Systems, 2020 | 37 | 2020 |
Automated Delineation of Lung Tumors in PET Images Based on Monotonicity and a Tumor-Customized Criterion C Ballangan, X Wang, M Fulham, S Eberl, Y Yin, D Feng IEEE Transactions on Information Technology in Biomedicine 15 (5), 691-702, 2011 | 35 | 2011 |
Sex modifies APOE ε4 dose effect on brain tau deposition in cognitively impaired individuals S Yan, C Zheng, MD Paranjpe, Y Li, W Li, X Wang, TLS Benzinger, J Lu, ... Brain 144 (10), 3201-3211, 2021 | 32 | 2021 |
The adaptive FEM elastic model for medical image registration J Zhang, J Wang, X Wang, D Feng Physics in Medicine & Biology 59 (1), 97, 2013 | 31 | 2013 |
Topology polymorphism graph for lung tumor segmentation in PET-CT images DFMF H Cui, X Wang, J Zhou, S Eberl, Y Yin Physics in Medicine and Biology 60 (12), 4893-4914, 2015 | 30 | 2015 |
Automatic prostate segmentation on MR images with deep network and graph model K Yan, C Li, X Wang, A Li, Y Yuan, D Feng, M Khadra, J Kim 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 28 | 2016 |