| Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading S Li, H Jiang, W Pang Computers in biology and medicine 84, 156-167, 2017 | 70 | 2017 |
| An effective computer aided diagnosis model for pancreas cancer on PET/CT images S Li, H Jiang, Z Wang, G Zhang, Y Yao Computer methods and programs in biomedicine 165, 205-214, 2018 | 61 | 2018 |
| Liver tumor segmentation based on multi-scale candidate generation and fractal residual network Z Bai, H Jiang, S Li, YD Yao Ieee Access 7, 82122-82133, 2019 | 55 | 2019 |
| DenseX-net: an end-to-end model for lymphoma segmentation in whole-body PET/CT images H Li, H Jiang, S Li, M Wang, Z Wang, G Lu, J Guo, Y Wang Ieee Access 8, 8004-8018, 2019 | 40 | 2019 |
| Nhl pathological image classification based on hierarchical local information and googlenet-based representations J Bai, H Jiang, S Li, X Ma BioMed research international 2019, 2019 | 36 | 2019 |
| Sparse contribution feature selection and classifiers optimized by concave-convex variation for HCC image recognition W Pang, H Jiang, S Li BioMed research international 2017, 2017 | 16 | 2017 |
| Stacked sparse autoencoder and case-based postprocessing method for nucleus detection S Li, H Jiang, J Bai, Y Liu, Y Yao Neurocomputing 359, 494-508, 2019 | 14 | 2019 |
| Deep kernel representation for image reconstruction in PET S Li, G Wang IEEE transactions on medical imaging 41 (11), 3029-3038, 2022 | 13 | 2022 |
| Modified kernel MLAA using autoencoder for PET-enabled dual-energy CT S Li, G Wang Philosophical Transactions of the Royal Society A 379 (2204), 20200204, 2021 | 12 | 2021 |
| AW-SDRLSE: Adaptive weighting and scalable distance regularized level set evolution for lymphoma segmentation on PET images S Li, H Jiang, H Li, Y Yao IEEE Journal of Biomedical and Health Informatics 25 (4), 1173-1184, 2020 | 12 | 2020 |
| Structure convolutional extreme learning machine and case-based shape template for HCC nucleus segmentation S Li, H Jiang, Y Yao, W Pang, Q Sun, L Kuang Neurocomputing 312, 9-26, 2018 | 11 | 2018 |
| An effective multi-classification method for NHL pathological images H Jiang, Z Li, S Li, F Zhou 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 11 | 2018 |
| Registration-based organ positioning and joint segmentation method for liver and tumor segmentation H Jiang, S Li, S Li BioMed Research International 2018, 2018 | 11 | 2018 |
| A novel multispace image reconstruction method for pathological image classification based on structural information H Zhu, H Jiang, S Li, H Li, Y Pei BioMed research international 2019, 2019 | 10 | 2019 |
| Organ location determination and contour sparse representation for multiorgan segmentation S Li, H Jiang, Y Yao, B Yang IEEE Journal of Biomedical and Health Informatics 22 (3), 852-861, 2017 | 9 | 2017 |
| A novel fusion framework based on adaptive PCNN in NSCT domain for whole-body PET and CT images Z Song, H Jiang, S Li Computational and mathematical methods in medicine 2017, 2017 | 9 | 2017 |
| Neural KEM: A kernel method with deep coefficient prior for PET image reconstruction S Li, K Gong, RD Badawi, EJ Kim, J Qi, G Wang IEEE transactions on medical imaging 42 (3), 785-796, 2022 | 8 | 2022 |
| Low-dose CT image denoising using parallel-clone networks S Li, G Wang arXiv preprint arXiv:2005.06724, 2020 | 8 | 2020 |
| Parallel ‘same’and ‘valid’convolutional block and input-collaboration strategy for histopathological image classification H Jiang, S Li, H Li Applied Soft Computing 117, 108417, 2022 | 5 | 2022 |
| Shape and boundary similarity features for accurate HCC image recognition X Duan, H Jiang, S Li BioMed Research International 2017, 2017 | 3 | 2017 |
Yudong YaoStevens Institute of TechnologyVerified email at stevens.edu
