Qinquan Gao

Orcid: 0000-0003-0352-6027

According to our database1, Qinquan Gao authored at least 40 papers between 2009 and 2024.

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Bibliography

2024
HTC-Net: A hybrid CNN-transformer framework for medical image segmentation.
Biomed. Signal Process. Control., February, 2024

Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations.
CoRR, 2024

2023
Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning.
Biomed. Signal Process. Control., September, 2023

LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results.
Displays, July, 2023

Distance Guided Generative Adversarial Network for Explainable Binary Classifications.
CoRR, 2023

Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information.
CoRR, 2023

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification.
CoRR, 2023

Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation.
CoRR, 2023

PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification.
CoRR, 2023

A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images.
Biomed. Signal Process. Control., 2023

Dual-Encoder Unet for Single Image HDR Reconstruction with Denoising.
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Stereo Cross Global Learnable Attention Module for Stereo Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Super-resolution Guided Network for Improving Automated Thyroid Nodule Segmentation.
Comput. Methods Programs Biomed., 2022

2021
Multiclass diagnosis of stages of Alzheimer's disease using linear discriminant analysis scoring for multimodal data.
Comput. Biol. Medicine, 2021

Unpaired Stain Style Transfer Using Invertible Neural Networks Based on Channel Attention and Long-Range Residual.
IEEE Access, 2021

Graph Reasoning-Based Emotion Recognition Network.
IEEE Access, 2021

Multi-angle Dual-task Consistency for Semi-Supervised Medical Image Segmentation.
Proceedings of the ICIT 2021: IoT and Smart City, Guangzhou, China, December 22 - 25, 2021, 2021

2020
Compact StereoNet: Stereo Disparity Estimation via Knowledge Distillation and Compact Feature Extractor.
IEEE Access, 2020

Guided Frequency Separation Network for Real-World Super-Resolution.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Stain Style Transfer Using Transitive Adversarial Networks.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2018

Image Super-Resolution Using Knowledge Distillation.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2017

Multi-modal classification of Alzheimer's disease using nonlinear graph fusion.
Pattern Recognit., 2017

Image Super-Resolution Using Dense Skip Connections.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2015
Discriminative dictionary learning for abdominal multi-organ segmentation.
Medical Image Anal., 2015

Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Extraction of Features from Patch Based Graphs for the Prediction of Disease Progression in AD.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014
Segmentation of pelvic structures from preoperative images for surgical planning and guidance.
PhD thesis, 2014

Multiple instance learning for classification of dementia in brain MRI.
Medical Image Anal., 2014

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge.
Medical Image Anal., 2014

Multi-scale feature learning on pixels and super-pixels for seminal vesicles MRI segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Multi-atlas propagation via a manifold graph on a database of both labeled and unlabeled images.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy.
Comput. Medical Imaging Graph., 2013

Multiple Instance Learning for Classification of Dementia in Brain MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Automated atlas-based pelvimetry using hybrid registration.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2011
BP Neural Network Algorithm for Multi-sensor Trajectory Separation Based on Maximum Membership Degree.
Proceedings of the Applied Informatics and Communication - International Conference, 2011

2009
A new grey-rough set model based on interval-valued grey sets.
Proceedings of the IEEE International Conference on Systems, 2009


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