| 3D APA-Net: 3D adversarial pyramid anisotropic convolutional network for prostate segmentation in MR images H Jia, Y Xia, Y Song, D Zhang, H Huang, Y Zhang, W Cai IEEE transactions on medical imaging 39 (2), 447-457, 2019 | 113 | 2019 |
| Thorax-net: an attention regularized deep neural network for classification of thoracic diseases on chest radiography H Wang, H Jia, L Lu, Y Xia IEEE journal of biomedical and health informatics 24 (2), 475-485, 2019 | 100 | 2019 |
| Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging H Jia, Y Xia, Y Song, W Cai, M Fulham, DD Feng Neurocomputing 275, 1358-1369, 2018 | 96 | 2018 |
| HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images H Jia, Y Song, H Huang, W Cai, Y Xia MICCAI Grand Challenge: Prostate MR Image Segmentation (PROMISE12), HD-Net …, 2019 | 64 | 2019 |
| Panoptic segmentation with an end-to-end cell r-cnn for pathology image analysis D Zhang, Y Song, D Liu, H Jia, S Liu, Y Xia, H Huang, W Cai Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 62 | 2018 |
| H2NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task H Jia, W Cai, H Huang, Y Xia International MICCAI Brainlesion Workshop, 58-68, 2020 | 59 | 2020 |
| Learning high-resolution and efficient non-local features for brain glioma segmentation in MR images H Jia, Y Xia, W Cai, H Huang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 27 | 2020 |
| Prostate segmentation in MR images using ensemble deep convolutional neural networks H Jia, Y Xia, W Cai, M Fulham, DD Feng 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 27 | 2017 |
| Early identification of Alzheimer’s disease using an ensemble of 3D convolutional neural networks and magnetic resonance imaging Y Chen, H Jia, Z Huang, Y Xia Advances in Brain Inspired Cognitive Systems: 9th International Conference …, 2018 | 18 | 2018 |
| A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images H Jia, H Tang, G Ma, W Cai, H Huang, L Zhan, Y Xia Computers in Biology and Medicine 155, 106698, 2023 | 17 | 2023 |
| 3D global convolutional adversarial network\\for prostate MR volume segmentation H Jia, Y Song, D Zhang, H Huang, D Feng, M Fulham, Y Xia, W Cai arXiv preprint arXiv:1807.06742, 2018 | 17 | 2018 |
| Learning multi-scale synergic discriminative features for prostate image segmentation H Jia, W Cai, H Huang, Y Xia Pattern Recognition 126, 108556, 2022 | 16 | 2022 |
| HNF-Netv2 for brain tumor segmentation using multi-modal MR imaging H Jia, C Bai, W Cai, H Huang, Y Xia International MICCAI Brainlesion Workshop, 106-115, 2021 | 14 | 2021 |
| PSGR: Pixel-wise sparse graph reasoning for COVID-19 pneumonia segmentation in CT images H Jia, H Tang, G Ma, W Cai, H Huang, L Zhan, Y Xia arXiv preprint arXiv:2108.03809, 2021 | 10 | 2021 |
| Densely connected large kernel convolutional network for semantic membrane segmentation in microscopy images D Liu, D Zhang, S Liu, Y Song, H Jia, D Feng, Y Xia, W Cai 2018 25th IEEE International Conference on Image Processing (ICIP), 2461-2465, 2018 | 10 | 2018 |
| Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation L Li, H Zeng, C Yang, H Jia, D Xu arXiv preprint arXiv:2403.07500, 2024 | | 2024 |
| DisControlFace: Disentangled Control for Personalized Facial Image Editing H Jia, Y Li, H Cui, D Xu, C Yang, Y Wang, T Yu arXiv preprint arXiv:2312.06193, 2023 | | 2023 |
| Boundary-aware Graph Reasoning for Semantic Segmentation H Tang, H Jia, W Cai, H Huang, Y Xia, L Zhan arXiv preprint arXiv:2108.03791, 2021 | | 2021 |
| PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images (preprint) H Jia, H Tang, G Ma, W Cai, H Huang, L Zhan, Y Xia | | 2021 |
Yong XiaNorthwestern Polytechnical University在 nwpu.edu.cn 的电子邮件经过验证
