Qinquan Gao
Orcid: 0000-0003-0352-6027
According to our database1,
Qinquan Gao
authored at least 50 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Biomed. Signal Process. Control., February, 2024
ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation.
Virtual Real. Intell. Hardw., 2024
Towards real world stereo image super-resolution via hybrid degradation model and discriminator for implied stereo image information.
Expert Syst. Appl., 2024
DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution.
CoRR, 2024
ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolution.
CoRR, 2024
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations.
CoRR, 2024
Distance guided generative adversarial network for explainable medical image classifications.
Comput. Medical Imaging Graph., 2024
DEUNet: Dual-encoder UNet for simultaneous denoising and reconstruction of single HDR image.
Comput. Graph., 2024
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classifications.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
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
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
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
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
Pattern Recognit., 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
2015
Medical Image Anal., 2015
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
Medical Image Anal., 2014
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
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
Proceedings of the IEEE International Conference on Systems, 2009