Qinquan Gao

About Qinquan Gao

Qinquan Gao, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at Fuzhou University, specializes in the field of Computer Vision, Biomedical image analysis, Machine Learning, Image Super-resolution, Computer Technology.

His recent articles reflect a diverse array of research interests and contributions to the field:

NTIRE 2024 challenge on low light image enhancement: Methods and results

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classifications

Two-stage image colorization via color codebook

HTC-Net: A hybrid CNN-transformer framework for medical image segmentation

DEUNet: Dual-encoder UNet for simultaneous denosing and reconstruction of single HDR image

A blind image super-resolution network guided by kernel estimation and structural prior knowledge

Distance Guided Generative Adversarial Network for Explainable Binary Classifications

Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information

Qinquan Gao Information

University

Position

; Imperial Vision Technology

Citations(all)

3958

Citations(since 2020)

3451

Cited By

1766

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Qinquan Gao Skills & Research Interests

Computer Vision

Biomedical image analysis

Machine Learning

Image Super-resolution

Computer Technology

Top articles of Qinquan Gao

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classifications

2024/4/14

Two-stage image colorization via color codebook

Expert Systems with Applications

2024/4/9

HTC-Net: A hybrid CNN-transformer framework for medical image segmentation

Biomedical Signal Processing and Control

2024/2/1

DEUNet: Dual-encoder UNet for simultaneous denosing and reconstruction of single HDR image

Computers & Graphics

2024/1/28

A blind image super-resolution network guided by kernel estimation and structural prior knowledge

Scientific Reports

2024/4/25

Distance Guided Generative Adversarial Network for Explainable Binary Classifications

arXiv preprint arXiv:2312.17538

2023/12/29

Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information

arXiv preprint arXiv:2312.07934

2023/12/13

EAFNet: Feature Enhancement and Self-Adaptive Guided Feature Fusion for Object Detection in Haze Conditions

2023/11/17

Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation

arXiv preprint arXiv:2311.10349

2023/11/17

KESPKSR: A Blind Image Super-resolution Network Combined Kernel Estimation and Structural Prior Knowledge

2023/9/11

Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning

Biomedical Signal Processing and Control

2023/9/1

CoTrFuse: a novel framework by fusing CNN and transformer for medical image segmentation

Physics in Medicine & Biology

2023/8/22

LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results

Displays

2023/7/1

PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification

arXiv preprint arXiv:2306.16918

2023/6/29

Dual-Encoder Unet for Single Image HDR Reconstruction with Denoising

2023/3/17

Stereo cross global learnable attention module for stereo image super-resolution

2023

A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images

Biomedical Signal Processing and Control

2023/1/1

A deep learning quantification algorithm for HER2 scoring of gastric cancer

Frontiers in Neuroscience

2022/5/30

See List of Professors in Qinquan Gao University(Fuzhou University)

Co-Authors

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