We stand with Ukraine

We stand with Ukraine

Jianning Chi

Orcid: 0000-0002-9748-5619

According to our database¹, Jianning Chi authored at least 34 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

LGDNet: local feature coupling global representations network for pulmonary nodules detection.

[BibT_eX]

[DOI]

,

,

,

,

Medical Biol. Eng. Comput., July, 2024

Cross-modal collaborative propagation for RGB-T saliency detection.

[BibT_eX]

[DOI]

,

,

,

Vis. Comput., June, 2024

Generative facial prior embedded degradation adaption network for heterogeneous face hallucination.

[BibT_eX]

[DOI]

,

,

,

,

Multim. Tools Appl., May, 2024

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

[BibT_eX]

[DOI]

,

,

,

,

Multim. Tools Appl., January, 2024

A Retinal Vessel Segmentation Network Fusing Cross-Modal Features.

[BibT_eX]

[DOI]

,

,

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024

2023

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

[BibT_eX]

[DOI]

,

,

,

,

,

,

Medical Biol. Eng. Comput., December, 2023

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

[BibT_eX]

[DOI]

,

,

,

,

J. Digit. Imaging, August, 2023

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

[BibT_eX]

[DOI]

,

,

J. Digit. Imaging, August, 2023

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

[BibT_eX]

[DOI]

,

,

,

,

,

Comput. Methods Programs Biomed., April, 2023

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

[BibT_eX]

[DOI]

,

,

,

,

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

Hybrid transformer UNet for thyroid segmentation from ultrasound scans.

[BibT_eX]

[DOI]

,

,

,

,

Comput. Biol. Medicine, February, 2023

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

[BibT_eX]

[DOI]

,

,

,

,

,

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.

[BibT_eX]

[DOI]

,

,

,

,

,

Signal Process. Image Commun., 2022

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

[BibT_eX]

[DOI]

,

,

,

,

,

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

,

,

,

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

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

[BibT_eX]

[DOI]

,

,

,

,

,

Comput. Biol. Medicine, 2022

2021

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

[BibT_eX]

[DOI]

,

,

,

,

,

Knowl. Based Syst., 2021

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

[BibT_eX]

[DOI]

,

,

,

,

,

J. Vis. Commun. Image Represent., 2021

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

[BibT_eX]

[DOI]

,

,

,

,

,

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

,

,

,

,

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

,

,

,

,

,

Expert Syst. Appl., 2021

2020

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

[BibT_eX]

[DOI]

,

,

,

,

Walter J. Scheirer

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

IEEE Trans. Image Process., 2020

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

[BibT_eX]

[DOI]

,

,

,

,

Sensors, 2020

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

[BibT_eX]

[DOI]

,

,

,

J. Sensors, 2020

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

[BibT_eX]

[DOI]

,

,

,

,

IEEE Access, 2020

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

[BibT_eX]

[DOI]

,

,

,

,

IEEE Access, 2020

2019

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

[BibT_eX]

[DOI]

,

,

,

,

Sensors, 2019

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

[BibT_eX]

[DOI]

,

,

,

,

Neurocomputing, 2019

Deep Learning Based Noise Level Classification of Medical Images.

[BibT_eX]

[DOI]

,

,

,

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

2018

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

[BibT_eX]

[DOI]

,

,

J. Electronic Imaging, 2018

2017

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

[BibT_eX]

[DOI]

,

,

,

,

,

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.

[BibT_eX]

[DOI]

,

Mark G. Eramian

Comput. Vis. Image Underst., 2017

2016

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

[BibT_eX]

[DOI]

,

Mark G. Eramian

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

2015

Enhancement of Textural Differences Based on Morphological Component Analysis.

[BibT_eX]

[DOI]

,

Mark G. Eramian

IEEE Trans. Image Process., 2015

Loading...