Shaoguo Cui
Orcid: 0009-0009-4462-7263
According to our database1,
Shaoguo Cui
authored at least 17 papers
between 2019 and 2025.
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Bibliography
2025
Biomed. Signal Process. Control., 2025
2024
Fast CU partition algorithm based on swin-transformer for depth intra coding in 3D-HEVC.
Multim. Tools Appl., December, 2024
IEEE J. Biomed. Health Informatics, March, 2024
J. Circuits Syst. Comput., February, 2024
J. Vis. Commun. Image Represent., 2024
Distance metric learning-based multi-granularity neighborhood rough sets for attribute reduction.
Appl. Soft Comput., 2024
GMoD: Graph-Driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
CM-HTNet: CNN-Mamba-based Framework for Predicting Hemorrhagic Transformation Risk of AIS Patients using Sequence Relationship Modeling and Multi-Modal Cross Attention.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Proceedings of the 3rd International Conference on Bioinformatics and Intelligent Computing, 2023
2022
IEEE Signal Process. Lett., 2022
GAN-segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation.
Int. J. Imaging Syst. Technol., 2022
ASPP-UNet: A New Semantic Segmentation Algorithm for Thyroid Nodule Ultrasonic Image.
Proceedings of the International Conference on Artificial Intelligence, 2022
2020
DsUnet: A New Network Structure for Detection and Segmentation of Ultrasound Breast Lesions.
J. Medical Imaging Health Informatics, 2020
2019
A Separate 3D Convolutional Neural Network Architecture for 3D Medical Image Semantic Segmentation.
J. Medical Imaging Health Informatics, 2019
Brain Tumor Semantic Segmentation from MRI Image Using Deep Generative Adversarial Segmentation Network.
J. Medical Imaging Health Informatics, 2019