| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2287 | 2018 |
| Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image L Xiang, Q Wang, D Nie, L Zhang, X Jin, Y Qiao, D Shen Medical image analysis 47, 31-44, 2018 | 196 | 2018 |
| Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification X Chen, H Zhang, L Zhang, C Shen, SW Lee, D Shen Human brain mapping 38 (10), 5019-5034, 2017 | 185 | 2017 |
| Segmentation and classification in digital pathology for glioma research: challenges and deep learning approaches T Kurc, S Bakas, X Ren, A Bagari, A Momeni, Y Huang, L Zhang, A Kumar, ... Frontiers in neuroscience 14, 27, 2020 | 86 | 2020 |
| Multi-class ASD classification based on functional connectivity and functional correlation tensor via multi-source domain adaptation and multi-view sparse representation J Wang, L Zhang, Q Wang, L Chen, J Shi, X Chen, Z Li, D Shen IEEE transactions on medical imaging 39 (10), 3137-3147, 2020 | 72 | 2020 |
| Rcps: Rectified contrastive pseudo supervision for semi-supervised medical image segmentation X Zhao, Z Qi, S Wang, Q Wang, X Wu, Y Mao, L Zhang IEEE Journal of Biomedical and Health Informatics 28 (1), 251-261, 2024 | 59 | 2024 |
| Hippocampal shape and asymmetry analysis by cascaded convolutional neural networks for Alzheimer’s disease diagnosis A Li, F Li, F Elahifasaee, M Liu, L Zhang, ... Brain Imaging and Behavior, 1-10, 2021 | 45 | 2021 |
| Automatic Brain Labeling via Multi-Atlas Guided Fully Convolutional Networks L Fang, L Zhang, D Nie, X Cao, I Rekik, SW Lee, H He, D Shen Medical Image Analysis, 2018 | 41 | 2018 |
| Multimodal MRI reconstruction assisted with spatial alignment network K Xuan, L Xiang, X Huang, L Zhang, S Liao, D Shen, Q Wang IEEE Transactions on Medical Imaging 41 (9), 2499-2509, 2022 | 36 | 2022 |
| Automatic labeling of MR brain images by hierarchical learning of atlas forests L Zhang, Q Wang, Y Gao, G Wu, D Shen Medical physics 43 (3), 1175-1186, 2016 | 35 | 2016 |
| Feature‐shared adaptive‐boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images J Wang, X Chen, H Lu, L Zhang, J Pan, Y Bao, J Su, D Qian Medical physics 47 (4), 1738-1749, 2020 | 34 | 2020 |
| Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning Y Qu, X Li, Z Yan, L Zhao, L Zhang, C Liu, S Xie, K Li, D Metaxas, W Wu, ... Medical Image Analysis, 101954, 2021 | 33 | 2021 |
| Task decomposition and synchronization for semantic biomedical image segmentation X Ren, S Ahmad, L Zhang, L Xiang, D Nie, F Yang, Q Wang, D Shen IEEE Transactions on Image Processing 29, 7497-7510, 2020 | 33 | 2020 |
| Using radiomic features of lumbar spine CT images to differentiate osteoporosis from normal bone density Z Xue, J Huo, X Sun, X Sun, S Ai, L Zhang, C Liu BMC musculoskeletal disorders 23 (1), 1-9, 2022 | 30 | 2022 |
| Graph convolutional network based point cloud for head and neck vessel labeling L Yao, P Jiang, Z Xue, Y Zhan, D Wu, L Zhang, Q Wang, F Shi, D Shen Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 26 | 2020 |
| Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images L Zhang, Q Wang, Y Gao, H Li, G Wu, D Shen Neurocomputing 229, 3-12, 2017 | 26 | 2017 |
| Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution J Zhang, L Zhang, L Xiang, Y Shao, G Wu, X Zhou, D Shen, Q Wang Pattern recognition 63, 531-541, 2017 | 23 | 2017 |
| Learning-based structurally-guided construction of resting-state functional correlation tensors L Zhang, H Zhang, X Chen, Q Wang, PT Yap, D Shen Magnetic resonance imaging 43, 110-121, 2017 | 21 | 2017 |
| Feature selection based on iterative canonical correlation analysis for automatic diagnosis of Parkinson’s disease L Liu, Q Wang, E Adeli, L Zhang, H Zhang, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 21 | 2016 |
| Hierarchical pathology screening for cervical abnormality M Zhou, L Zhang, X Du, X Ouyang, X Zhang, Q Shen, D Luo, X Fan, ... Computerized Medical Imaging and Graphics 89, 101892, 2021 | 20 | 2021 |
Qian WangSchool of Biomedical Engineering, ShanghaiTech UniversityEmail được xác minh tại shanghaitech.edu.cn
