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Jianning Chi
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2020 – today
- 2024
- [j31]Xiaosheng Yu, Jianning Chi, Ming Xu:
A Retinal Vessel Segmentation Network Fusing Cross-Modal Features. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(7): 1071-1075 (2024) - [j30]Jianning Chi
, Jin Zhao, Siqi Wang, Xiaosheng Yu, Chengdong Wu:
LGDNet: local feature coupling global representations network for pulmonary nodules detection. Medical Biol. Eng. Comput. 62(7): 1991-2004 (2024) - [j29]Huan Wang, Jianning Chi, Chengdong Wu, Xiaosheng Yu, Hao Wu:
Progressive local-to-global vision transformer for occluded face hallucination. Multim. Tools Appl. 83(3): 8219-8240 (2024) - [j28]Huan Wang, Jianning Chi, Xiaoqiang Li, Chengdong Wu, Hao Wu:
Generative facial prior embedded degradation adaption network for heterogeneous face hallucination. Multim. Tools Appl. 83(15): 43955-43981 (2024) - [j27]Xiaosheng Yu, Yu Pang, Jianning Chi, Qi Qi:
Cross-modal collaborative propagation for RGB-T saliency detection. Vis. Comput. 40(6): 4337-4354 (2024) - [i1]Jianning Chi, Zelan Li, Huixuan Wu, Wenjun Zhang, Ying Huang:
Beyond Point Annotation: A Weakly Supervised Network Guided by Multi-Level Labels Generated from Four-Point Annotation for Thyroid Nodule Segmentation in Ultrasound Image. CoRR abs/2410.19332 (2024) - 2023
- [j26]Jianning Chi
Hybrid transformer UNet for thyroid segmentation from ultrasound scans. Comput. Biol. Medicine 153: 106453 (2023) - [j25]Jianning Chi
PILN: A posterior information learning network for blind reconstruction of lung CT images. Comput. Methods Programs Biomed. 232: 107449 (2023) - [j24]Yang Jiang, Shuang Zhang, Jianning Chi
Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss. J. Digit. Imaging 36(4): 1794-1807 (2023) - [j23]Huan Wang, Jianning Chi, Chengdong Wu, Xiaosheng Yu, Hao Wu:
Degradation Adaption Local-to-Global Transformer for Low-Dose CT Image Denoising. J. Digit. Imaging 36(4): 1894-1909 (2023) - [j22]Huan Wang, Jianning Chi, Chengdong Wu, Xiaosheng Yu, Hao Wu:
Cross-view information interaction and feedback network for face hallucination. J. Vis. Commun. Image Represent. 91: 103758 (2023) - [j21]Siqi Wang, Xiaosheng Yu, Wenzhuo Jia, Jianning Chi, Pengfei Lv, Junxiang Wang, Chengdong Wu:
Optic disc detection based on fully convolutional network and weighted matrix recovery model. Medical Biol. Eng. Comput. 61(12): 3319-3333 (2023) - [c3]Jianning Chi, Zhiyi Sun, Tianli Zhao, Huan Wang, Xiaosheng Yu, Chengdong Wu:
Low-Dose CT Image Super-Resolution Network with Dual-Guidance Feature Distillation and Dual-Path Content Communication. MICCAI (10) 2023: 98-108 - 2022
- [j20]Jianning Chi
CT image super-resolution reconstruction based on global hybrid attention. Comput. Biol. Medicine 150: 106112 (2022) - [j19]Pengfei Lv, Xiaosheng Yu, Jianning Chi, Chengdong Wu:
Saliency Detection via Absorbing Markov Chain with Multi-Level Cues. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(6): 1010-1014 (2022) - [j18]Zhongyu Bai
Skeleton-based similar action recognition through integrating the salient image feature into a center-connected graph convolutional network. Neurocomputing 507: 40-53 (2022) - [j17]Jianning Chi
MID-UNet: Multi-input directional UNet for COVID-19 lung infection segmentation from CT images. Signal Process. Image Commun. 108: 116835 (2022) - 2021
- [j16]Xiaoliang Lei, Xiaosheng Yu, Jianning Chi
Brain tumor segmentation in MR images using a sparse constrained level set algorithm. Expert Syst. Appl. 168: 114262 (2021) - [j15]Huan Wang, Chengdong Wu, Jianning Chi
Image super-resolution using multi-granularity perception and pyramid attention networks. Neurocomputing 443: 247-261 (2021) - [j14]Jianning Chi
X-Net: Multi-branch UNet-like network for liver and tumor segmentation from 3D abdominal CT scans. Neurocomputing 459: 81-96 (2021) - [j13]Huan Wang, Hao Wu, Qian Hu, Jianning Chi
Underwater image super-resolution using multi-stage information distillation networks. J. Vis. Commun. Image Represent. 77: 103136 (2021) - [j12]Huan Wang, Qian Hu, Chengdong Wu
DCLNet: Dual Closed-loop Networks for face super-resolution. Knowl. Based Syst. 222: 106987 (2021) - 2020
- [j11]Jianning Chi
Single Low-Dose CT Image Denoising Using a Generative Adversarial Network With Modified U-Net Generator and Multi-Level Discriminator. IEEE Access 8: 133470-133487 (2020) - [j10]Huan Wang
Non-Locally up-Down Convolutional Attention Network for Remote Sensing Image Super-Resolution. IEEE Access 8: 166304-166319 (2020) - [j9]Xiaosheng Yu
Mean Shift-Based Multisource Localization Method in Wireless Binary Sensor Network. J. Sensors 2020: 4052409:1-4052409:9 (2020) - [j8]Jianning Chi
A Novel Pulmonary Nodule Detection Model Based on Multi-Step Cascaded Networks. Sensors 20(15): 4301 (2020) - [j7]Wenhan Yang
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans. Image Process. 29: 5737-5752 (2020)
2010 – 2019
- 2019
- [j6]Jianning Chi
Saliency detection via integrating deep learning architecture and low-level features. Neurocomputing 352: 75-92 (2019) - [j5]Jianning Chi
Computed Tomography (CT) Image Quality Enhancement via a Uniform Framework Integrating Noise Estimation and Super-Resolution Networks. Sensors 19(15): 3348 (2019) - [c2]Yifei Zhang, Chengdong Wu, Jianning Chi
Deep Learning Based Noise Level Classification of Medical Images. ICIRA (1) 2019: 535-546 - 2018
- [j4]Yixiu Liu, Yunzhou Zhang, Jianning Chi
Bag of local features for person re-identification on large-scale datasets. J. Electronic Imaging 27(05): 053041 (2018) - 2017
- [j3]Jianning Chi
Enhancing textural differences using wavelet-based texture characteristics morphological component analysis: A preprocessing method for improving image segmentation. Comput. Vis. Image Underst. 158: 49-61 (2017) - [j2]Jianning Chi
Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network. J. Digit. Imaging 30(4): 477-486 (2017) - 2016
- [c1]Jianning Chi
Wavelet-based texture-characteristic morphological component analysis for colour image enhancement. ICIP 2016: 4097-4101 - 2015
- [j1]Jianning Chi
Enhancement of Textural Differences Based on Morphological Component Analysis. IEEE Trans. Image Process. 24(9): 2671-2684 (2015)
Coauthor Index
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