no code implementations • 25 Nov 2024 • BoHao Chen, Yanchao Zhang, Yanan Lv, Hua Han, Xi Chen
The model is then applied slice-by-slice in the lateral direction of low-resolution volume, recovering slices while preserving inherent lateral continuity.
no code implementations • 3 Jan 2024 • Hua Han, Cheng Li, Lei Xie, Yuanjing Feng, Alou Diakite, Shanshan Wang
Secondly, we propose a cross-fusion module that further enhances the fusion of information between the two modalities.
no code implementations • 3 Jan 2024 • Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Hua Han, Shanshan Wang
Recent research has shown the potential of deep learning in multi-parametric MRI-based visual pathway (VP) segmentation.
no code implementations • 9 Mar 2023 • Zejin Wang, Jiazheng Liu, Hao Zhai, Hua Han
Self-supervised blind denoising for Poisson-Gaussian noise remains a challenging task.
no code implementations • 16 Nov 2022 • Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang
Multi-parametric magnetic resonance (MR) imaging is an indispensable tool in the clinic.
1 code implementation • CVPR 2022 • Zejin Wang, Jiazheng Liu, Guoqing Li, Hua Han
Self-supervised denoisers, which learn only from single noisy images, solve the data collection problem.
no code implementations • 17 Jan 2021 • Zejin Wang, Guodong Sun, Lina Zhang, Guoqing Li, Hua Han
The TSA interpolation module aggregates temporal contexts and then adaptively samples the spatial-related features with the proposed residual spatial adaptive block.
no code implementations • 11 May 2020 • Chang Shu, Xi Chen, Qiwei Xie, Chi Xiao, Hua Han
In this paper, we propose a novel non-iterative algorithm to simultaneously estimate optimal rigid transformation for serial section images, which is a key component in volume reconstruction of serial sections of biological tissue.
no code implementations • 23 Apr 2020 • Zejin Wang, Guoqing Li, Xi Chen, Hua Han
The continuity of biological tissue between consecutive biomedical images makes it possible for the video interpolation algorithm, to recover large area defects and tears that are common in biomedical images.
no code implementations • 9 Nov 2018 • Youru Li, Zhenfeng Zhu, Deqiang Kong, Hua Han, Yao Zhao
To address this issue, an evolutionary attention-based LSTM training with competitive random search is proposed for multivariate time series prediction.
no code implementations • 29 Jan 2018 • Chang Shu, Xi Chen, Qiwei Xie, Hua Han
Computer vision researchers have been expecting that neural networks have spatial transformation ability to eliminate the interference caused by geometric distortion for a long time.