| Deeply-supervised CNN for prostate segmentation Q Zhu, B Du, B Turkbey, PL Choyke, P Yan 2017 international joint conference on neural networks (IJCNN), 178-184, 2017 | 240 | 2017 |
| Boundary-weighted domain adaptive neural network for prostate MR image segmentation Q Zhu, B Du, P Yan IEEE transactions on medical imaging 39 (3), 753-763, 2019 | 213 | 2019 |
| Exploiting interslice correlation for MRI prostate image segmentation, from recursive neural networks aspect Q Zhu, B Du, B Turkbey, P Choyke, P Yan Complexity 2018 (1), 4185279, 2018 | 63 | 2018 |
| Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation. D Zou, Q Zhu, P Yan IJCAI, 3291-3298, 2020 | 57 | 2020 |
| Self-supervised training of graph convolutional networks Q Zhu, B Du, P Yan arXiv preprint arXiv:2006.02380, 2020 | 53 | 2020 |
| Shape prior constrained PSO model for bladder wall MRI segmentation Q Zhu, B Du, P Yan, H Lu, L Zhang Neurocomputing 294, 19-28, 2018 | 24 | 2018 |
| On a sparse shortcut topology of artificial neural networks FL Fan, D Wang, H Guo, Q Zhu, P Yan, G Wang, H Yu IEEE Transactions on Artificial Intelligence 3 (4), 595-608, 2021 | 22 | 2021 |
| Multi-hop convolutions on weighted graphs Q Zhu, B Du, P Yan arXiv preprint arXiv:1911.04978, 2019 | 21 | 2019 |
| A knowledge-guided framework for fine-grained classification of liver lesions based on multi-phase CT images X Xu, Q Zhu, H Ying, J Li, X Cai, S Li, X Liu, Y Yu IEEE Journal of Biomedical and Health Informatics 27 (1), 386-396, 2022 | 20 | 2022 |
| A deep learning health data analysis approach: automatic 3D prostate MR segmentation with densely-connected volumetric ConvNets Q Zhu, B Du, J Wu, P Yan 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018 | 20 | 2018 |
| Selfmix: a self-adaptive data augmentation method for lesion segmentation Q Zhu, Y Wang, L Yin, J Yang, F Liao, S Li International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 14 | 2022 |
| OASIS: One-pass aligned atlas set for medical image segmentation Q Zhu, Y Wang, B Du, P Yan Neurocomputing 470, 130-138, 2022 | 14 | 2022 |
| Clinically oriented CBCT periapical lesion evaluation via 3D CNN algorithm WT Fu, QK Zhu, N Li, YQ Wang, SL Deng, HP Chen, J Shen, LY Meng, ... Journal of Dental Research 103 (1), 5-12, 2024 | 13 | 2024 |
| Multi-view coupled self-attention network for pulmonary nodules classification Q Zhu, Y Wang, X Chu, X Yang, W Zhong Proceedings of the Asian Conference on Computer Vision, 995-1009, 2022 | 11 | 2022 |
| Difference-deformable convolution with pseudo scale instance map for cell localization C Zhang, J Chen, B Li, M Feng, Y Yang, Q Zhu, HB Bu IEEE Journal of Biomedical and Health Informatics 28 (1), 355-366, 2023 | 7 | 2023 |
| Exponential distance transform maps for cell localization B Li, J Chen, H Yi, M Feng, Y Yang, Q Zhu, H Bu Engineering Applications of Artificial Intelligence 132, 107948, 2024 | 6 | 2024 |
| An updated meta-analysis of Chinese herbal medicine for the prevention of COVID-19 based on Western-Eastern medicine S Hu, D Luo, Q Zhu, J Pan, B Chen, M Furian, HV Harkare, S Sun, ... Frontiers in pharmacology 14, 1257345, 2023 | 6 | 2023 |
| Selective information passing for MR/CT image segmentation Q Zhu, L Li, J Hao, Y Zha, Y Zhang, Y Cheng, F Liao, P Li Neural Computing and Applications, 1-14, 2023 | 6 | 2023 |
| Neural annotation refinement: Development of a new 3d dataset for adrenal gland analysis J Yang, R Shi, U Wickramasinghe, Q Zhu, B Ni, P Fua International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 6 | 2022 |
| Self-supervised training of graph convolutional networks. arXiv Q Zhu, B Du, P Yan arXiv preprint arXiv:2006.02380, 2020 | 4 | 2020 |
Pingkun YanRensselaer Polytechnic InstituteVerified email at rpi.edu
