Deep learning radiomics for assessment of gastroesophageal varices in people with compensated advanced chronic liver disease

no code implementations • 13 Jun 2023 • Lan Wang, Ruiling He, Lili Zhao, Jia Wang, Zhengzi Geng, Tao Ren, Guo Zhang, Peng Zhang, Kaiqiang Tang, Chaofei Gao, Fei Chen, Liting Zhang, Yonghe Zhou, Xin Li, Fanbin He, Hui Huan, Wenjuan Wang, Yunxiao Liang, Juan Tang, Fang Ai, Tingyu Wang, Liyun Zheng, Zhongwei Zhao, Jiansong Ji, Wei Liu, Jiaojiao Xu, Bo Liu, Xuemei Wang, Yao Zhang, Qiong Yan, Muhan Lv, Xiaomei Chen, Shuhua Zhang, Yihua Wang, Yang Liu, Li Yin, Yanni Liu, Yanqing Huang, Yunfang Liu, Kun Wang, Meiqin Su, Li Bian, Ping An, Xin Zhang, Linxue Qian, Shao Li, Xiaolong Qi

Validation analysis revealed that the AUCs of DLRP were 0. 91 for GEV (95% CI 0. 90 to 0. 93, p < 0. 05) and 0. 88 for HRV (95% CI 0. 86 to 0. 89, p < 0. 01), which were significantly and robustly better than canonical risk indicators, including the value of LSM and SSM.

TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning

1 code implementation • 10 Apr 2022 • Chao Tao, Ji Qia, Guo Zhang, Qing Zhu, Weipeng Lu, Haifeng Li

We believe that a general model which is trained by a label-free and task-independent way may be the next paradigm for RSIU and hope the insights distilled from this study can help to foster the development of an original vision model for RSIU.

General Knowledge object-detection +4

A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients

no code implementations • 27 Feb 2022 • Yuanxin Ye, Bai Zhu, Tengfeng Tang, Chao Yang, Qizhi Xu, Guo Zhang

In this paper, a robust matching method based on the Steerable filters is proposed consisting of two critical steps.

Computational Efficiency Image Registration +1

Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

1 code implementation • 20 Jun 2021 • Haifeng Li, Yi Li, Guo Zhang, Ruoyun Liu, Haozhe Huang, Qing Zhu, Chao Tao

Supervised learning for semantic segmentation requires a large number of labeled samples, which is difficult to obtain in the field of remote sensing.

Contrastive Learning Segmentation +2

Harnessing Structures for Value-Based Planning and Reinforcement Learning

1 code implementation • ICLR 2020 • Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi

In this paper, we propose to exploit the underlying structures of the state-action value function, i. e., Q function, for both planning and deep RL.

Atari Games reinforcement-learning +1

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

1 code implementation • 28 May 2019 • Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu

We show that this process destroys the adversarial structure of the noise, while re-enforcing the global structure in the original image.

Adversarial Robustness