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Qikui Zhu
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2020 – today
- 2024
- [j12]Bo Li
, Jie Chen, Hang Yi, Min Feng, Yongquan Yang
Exponential distance transform maps for cell localization. Eng. Appl. Artif. Intell. 132: 107948 (2024) - [j11]Qian Tang
Edge-and-Mask Integration-Driven Diffusion Models for Medical Image Segmentation. IEEE Signal Process. Lett. 31: 2665-2669 (2024) - [j10]Chengyang Zhang
Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization. IEEE J. Biomed. Health Informatics 28(1): 355-366 (2024) - [j9]Lei Hu
Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training. IEEE J. Biomed. Health Informatics 28(7): 3997-4009 (2024) - [c9]Qikui Zhu, Chuan Fu, Shuo Li:
Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification. IJCAI 2024: 1807-1815 - [c8]Qian Tang, Qikui Zhu, Yongchao Xu, Bo Du:
A Generalized Contrast-Adjustment Guided Growth Method for Medical Image Segmentation. PRCV (15) 2024: 91-106 - 2023
- [j8]Qikui Zhu
Selective information passing for MR/CT image segmentation. Neural Comput. Appl. 35(18): 13007-13020 (2023) - [j7]Xingxin Xu
A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images. IEEE J. Biomed. Health Informatics 27(1): 386-396 (2023) - [c7]Qikui Zhu, Lei Yin, Qian Tang, Yanqing Wang, Yanxiang Cheng, Shuo Li
DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation. MICCAI (5) 2023: 338-347 - [i9]Qikui Zhu, Yihui Bi, Danxin Wang, Xiangpeng Chu, Jie Chen, Yanqing Wang:
Coordinated Transformer with Position & Sample-aware Central Loss for Anatomical Landmark Detection. CoRR abs/2305.11338 (2023) - 2022
- [j6]Qikui Zhu
OASIS: One-pass aligned atlas set for medical image segmentation. Neurocomputing 470: 130-138 (2022) - [j5]Xiaofen Wang, Jun Chen
Real-Time Video Deraining via Global Motion Compensation and Hybrid Multi-Scale Temporal Correlations. IEEE Signal Process. Lett. 29: 672-676 (2022) - [j4]Feng-Lei Fan
On a Sparse Shortcut Topology of Artificial Neural Networks. IEEE Trans. Artif. Intell. 3(4): 595-608 (2022) - [c6]Qikui Zhu, Yanqing Wang, Xiangpeng Chu, Xiongwen Yang, Wenzhao Zhong:
Multi-View Coupled Self-Attention Network for Pulmonary Nodules Classification. ACCV (6) 2022: 37-51 - [c5]Jiancheng Yang
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. MICCAI (4) 2022: 503-513 - [c4]Qikui Zhu, Yanqing Wang, Lei Yin, Jiancheng Yang
SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation. MICCAI (4) 2022: 683-692 - [i8]Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua:
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. CoRR abs/2206.15328 (2022) - 2021
- [i7]Feng Sun, Ajith Kumar V, Guanci Yang, Qikui Zhu, Yiyun Zhang, Ansi Zhang, Dhruv Makwana:
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks. CoRR abs/2108.07481 (2021) - 2020
- [j3]Qikui Zhu, Bo Du
Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation. IEEE Trans. Medical Imaging 39(3): 753-763 (2020) - [c3]Danbing Zou, Qikui Zhu, Pingkun Yan:
Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation. IJCAI 2020: 3291-3298 - [i6]Qikui Zhu, Bo Du, Pingkun Yan:
Self-supervised Training of Graph Convolutional Networks. CoRR abs/2006.02380 (2020) - [i5]Qikui Zhu, Liang Li, Jiangnan Hao, Yunfei Zha, Yan Zhang, Yanxiang Cheng, Fei Liao, Pingxiang Li:
Selective Information Passing for MR/CT Image Segmentation. CoRR abs/2010.04920 (2020)
2010 – 2019
- 2019
- [i4]Qikui Zhu, Bo Du, Pingkun Yan:
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation. CoRR abs/1902.08128 (2019) - [i3]Qikui Zhu, Bo Du, Pingkun Yan:
Multi-hop Convolutions on Weighted Graphs. CoRR abs/1911.04978 (2019) - [i2]Qikui Zhu, Bo Du, Pingkun Yan:
OASIS: One-pass aligned Atlas Set for Image Segmentation. CoRR abs/1912.02417 (2019) - 2018
- [j2]Qikui Zhu, Bo Du
Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect. Complex. 2018: 4185279:1-4185279:10 (2018) - [j1]Qikui Zhu, Bo Du
Shape prior constrained PSO model for bladder wall MRI segmentation. Neurocomputing 294: 19-28 (2018) - [c2]Qikui Zhu, Bo Du, Jia Wu
A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets. IJCNN 2018: 1-6 - 2017
- [c1]Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan
Deeply-supervised CNN for prostate segmentation. IJCNN 2017: 178-184 - [i1]Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan:
Deeply-Supervised CNN for Prostate Segmentation. CoRR abs/1703.07523 (2017)
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