Jianning Chi

According to our database, Jianning Chi authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Progressive local-to-global vision transformer for occluded face hallucination.

Huan Wang, Jianning Chi, Chengdong Wu, Xiaosheng Yu, Hao Wu

Multim. Tools Appl., January, 2024

2023

Optic disc detection based on fully convolutional network and weighted matrix recovery model.

Siqi Wang, Xiaosheng Yu, Wenzhuo Jia, Jianning Chi, Pengfei Lv, Junxiang Wang, Chengdong Wu

Medical Biol. Eng. Comput., December, 2023

Degradation Adaption Local-to-Global Transformer for Low-Dose CT Image Denoising.

Huan Wang, Jianning Chi, Chengdong Wu, Xiaosheng Yu, Hao Wu

J. Digit. Imaging, August, 2023

Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss.

Yang Jiang, Shuang Zhang, Jianning Chi

J. Digit. Imaging, August, 2023

PILN: A posterior information learning network for blind reconstruction of lung CT images.

Jianning Chi, Zhiyi Sun, Xiaoying Han, Xiaosheng Yu, Huan Wang, Chengdong Wu

Comput. Methods Programs Biomed., April, 2023

Cross-view information interaction and feedback network for face hallucination.

Huan Wang, Jianning Chi, Chengdong Wu, Xiaosheng Yu, Hao Wu

J. Vis. Commun. Image Represent., March, 2023

Hybrid transformer UNet for thyroid segmentation from ultrasound scans.

Jianning Chi, Zelan Li, Zhiyi Sun, Xiaosheng Yu, Huan Wang

Comput. Biol. Medicine, February, 2023

Low-Dose CT Image Super-Resolution Network with Dual-Guidance Feature Distillation and Dual-Path Content Communication.

Jianning Chi, Zhiyi Sun, Tianli Zhao, Huan Wang, Xiaosheng Yu, Chengdong Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

MID-UNet: Multi-input directional UNet for COVID-19 lung infection segmentation from CT images.

Jianning Chi, Shuang Zhang, Xiaoying Han, Huan Wang, Chengdong Wu, Xiaosheng Yu

Signal Process. Image Commun., 2022

Skeleton-based similar action recognition through integrating the salient image feature into a center-connected graph convolutional network.

Zhongyu Bai, Qichuan Ding, Hongli Xu, Jianning Chi, Xiangyue Zhang, Tiansheng Sun

Neurocomputing, 2022

Saliency Detection via Absorbing Markov Chain with Multi-Level Cues.

Pengfei Lv, Xiaosheng Yu, Jianning Chi, Chengdong Wu

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022

CT image super-resolution reconstruction based on global hybrid attention.

Jianning Chi, Zhiyi Sun, Huan Wang, Pengfei Lyu, Xiaosheng Yu, Chengdong Wu

Comput. Biol. Medicine, 2022

2021

DCLNet: Dual Closed-loop Networks for face super-resolution.

Huan Wang, Qian Hu, Chengdong Wu, Jianning Chi, Xiaosheng Yu, Hao Wu

Knowl. Based Syst., 2021

Underwater image super-resolution using multi-stage information distillation networks.

Huan Wang, Hao Wu, Qian Hu, Jianning Chi, Xiaosheng Yu, Chengdong Wu

J. Vis. Commun. Image Represent., 2021

Image super-resolution using multi-granularity perception and pyramid attention networks.

Huan Wang, Chengdong Wu, Jianning Chi, Xiaosheng Yu, Qian Hu, Hao Wu

Neurocomputing, 2021

X-Net: Multi-branch UNet-like network for liver and tumor segmentation from 3D abdominal CT scans.

Jianning Chi, Xiaoying Han, Chengdong Wu, Huan Wang, Peng Ji

Neurocomputing, 2021

Brain tumor segmentation in MR images using a sparse constrained level set algorithm.

Xiaoliang Lei, Xiaosheng Yu, Jianning Chi, Ying Wang, Jingsi Zhang, Chengdong Wu

Expert Syst. Appl., 2021

2020

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.

Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin

IEEE Trans. Image Process., 2020

A Novel Pulmonary Nodule Detection Model Based on Multi-Step Cascaded Networks.

Jianning Chi, Shuang Zhang, Xiaosheng Yu, Chengdong Wu, Yang Jiang

Sensors, 2020

Mean Shift-Based Multisource Localization Method in Wireless Binary Sensor Network.

Xiaosheng Yu, Jianning Chi, Ying Wang, Hao Chu

J. Sensors, 2020

Non-Locally up-Down Convolutional Attention Network for Remote Sensing Image Super-Resolution.

Huan Wang, Qian Hu, Chengdong Wu, Jianning Chi, Xiaosheng Yu

IEEE Access, 2020

Single Low-Dose CT Image Denoising Using a Generative Adversarial Network With Modified U-Net Generator and Multi-Level Discriminator.

Jianning Chi, Chengdong Wu, Xiaosheng Yu, Peng Ji, Hao Chu

IEEE Access, 2020

2019

Computed Tomography (CT) Image Quality Enhancement via a Uniform Framework Integrating Noise Estimation and Super-Resolution Networks.

Jianning Chi, Yifei Zhang, Xiaosheng Yu, Ying Wang, Chengdong Wu

Sensors, 2019

Saliency detection via integrating deep learning architecture and low-level features.

Jianning Chi, Chengdong Wu, Xiaosheng Yu, Hao Chu, Peng Ji

Neurocomputing, 2019

Deep Learning Based Noise Level Classification of Medical Images.

Yifei Zhang, Chengdong Wu, Jianning Chi, Xiaosheng Yu

Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

2018

Bag of local features for person re-identification on large-scale datasets.

Yixiu Liu, Yunzhou Zhang, Jianning Chi

J. Electronic Imaging, 2018

2017

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.

Jianning Chi, Ekta Walia, Paul S. Babyn, Jimmy Wang, Gary Groot, Mark G. Eramian

J. Digit. Imaging, 2017

Enhancing textural differences using wavelet-based texture characteristics morphological component analysis: A preprocessing method for improving image segmentation.

Jianning Chi, Mark G. Eramian

Comput. Vis. Image Underst., 2017

2016

Wavelet-based texture-characteristic morphological component analysis for colour image enhancement.

Jianning Chi, Mark G. Eramian

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Enhancement of Textural Differences Based on Morphological Component Analysis.

Jianning Chi, Mark G. Eramian

IEEE Trans. Image Process., 2015