no code implementations • 18 May 2023 • Qikui Zhu, Yihui Bi, Danxin Wang, Xiangpeng Chu, Jie Chen, Yanqing Wang
Heatmap-based anatomical landmark detection is still facing two unresolved challenges: 1) inability to accurately evaluate the distribution of heatmap; 2) inability to effectively exploit global spatial structure information.
1 code implementation • 30 Jun 2022 • Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua
Besides, we develop a new Adrenal gLand ANalysis (ALAN) dataset with the proposed NeAR, where each case consists of a 3D shape of adrenal gland and its diagnosis label (normal vs. abnormal) assigned by experts.
no code implementations • 17 Aug 2021 • Feng Sun, Ajith Kumar V, Guanci Yang, Qikui Zhu, Yiyun Zhang, Ansi Zhang, Dhruv Makwana
Graph Convolutional Networks (GCNs) are widely used in many applications yet still need large amounts of labelled data for training.
1 code implementation • 10 Oct 2020 • Qikui Zhu, Liang Li, Jiangnan Hao, Yunfei Zha, Yan Zhang, Yanxiang Cheng, Fei Liao, Pingxiang Li
However, not all the feature maps transmitted by those connections contribute positively to the network performance.
1 code implementation • 3 Jun 2020 • Qikui Zhu, Bo Du, Pingkun Yan
Furthermore, the adjacency matrix is usually pre-defined and stationary, which makes the data augmentation strategies cannot be employed on the constructed graph structures data to augment the amount of training data.
no code implementations • 5 Dec 2019 • Qikui Zhu, Bo Du, Pingkun Yan
Furthermore, instead of using image based similarity for label fusion, which can be distracted by the large background areas, we propose a novel strategy to compute the label similarity based weights for label fusion.
1 code implementation • 12 Nov 2019 • Qikui Zhu, Bo Du, Pingkun Yan
To address the above weaknesses, in this paper, we propose a new method of multi-hop convolutional network on weighted graphs.
1 code implementation • 21 Feb 2019 • Qikui Zhu, Bo Du, Pingkun Yan
To make the network more sensitive to the boundaries during segmentation, a boundary-weighted segmentation loss (BWL) is proposed.
1 code implementation • 22 Nov 2018 • Fenglei Fan, Dayang Wang, Hengtao Guo, Qikui Zhu, Pingkun Yan, Ge Wang, Hengyong Yu
In this paper, we investigate the expressivity and generalizability of a novel sparse shortcut topology.
no code implementations • 22 Mar 2017 • Qikui Zhu, Bo Du, Baris Turkbey, Peter L . Choyke, Pingkun Yan
Prostate segmentation from Magnetic Resonance (MR) images plays an important role in image guided interven- tion.