Xiuquan Du
Orcid: 0000-0001-7913-7605
According to our database1,
Xiuquan Du
authored at least 41 papers
between 2008 and 2023.
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Bibliography
2023
ASCRB: Multi-view based attentional feature selection for CircRNA-binding site prediction.
Comput. Biol. Medicine, August, 2023
Comput. Biol. Medicine, June, 2023
Multimodal adversarial representation learning for breast cancer prognosis prediction.
Comput. Biol. Medicine, May, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Constraint-Based Unsupervised Domain Adaptation Network for Multi-Modality Cardiac Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022
JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction.
J. Biomed. Informatics, 2022
J. Bioinform. Comput. Biol., 2022
Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images.
Comput. Medical Imaging Graph., 2022
Comput. Medical Imaging Graph., 2022
DFpin: Deep learning-based protein-binding site prediction with feature-based non-redundancy from RNA level.
Comput. Biol. Medicine, 2022
ICGNet: Integration Context-based Reverse-Contour Guidance Network for Polyp Segmentation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Predicting transcription factor binding sites by dual-stream multiple instance learning network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation.
Comput. Medical Imaging Graph., 2021
Incomplete data ensemble classification using imputation-revision framework with local spatial neighborhood information.
Appl. Soft Comput., 2021
2020
An integrated deep learning framework for joint segmentation of blood pool and myocardium.
Medical Image Anal., 2020
Automatic segmentation of left ventricle using parallel end-end deep convolutional neural networks framework.
Knowl. Based Syst., 2020
Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.
Future Gener. Comput. Syst., 2020
DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parameters.
Comput. Methods Programs Biomed., 2020
Segmentation and visualization of left atrium through a unified deep learning framework.
Int. J. Comput. Assist. Radiol. Surg., 2020
DUDA: Deep Unsupervised Domain Adaptation Learning for Multi-sequence Cardiac MR Image Segmentation.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020
2019
Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network.
IEEE J. Biomed. Health Informatics, 2019
Int. J. Approx. Reason., 2019
An end-to-end joint learning framework of artery-specific coronary calcium scoring in non-contrast cardiac CT.
Computing, 2019
A novel machine-learning algorithm to estimate the position and size of myocardial infarction for MRI sequence.
Computing, 2019
IEEE Access, 2019
2018
Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.
Medical Image Anal., 2018
DeepSS: Exploring Splice Site Motif Through Convolutional Neural Network Directly From DNA Sequence.
IEEE Access, 2018
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
DeepMVF-RBP: Deep Multi-view Fusion Representation Learning for RNA-binding Proteins Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
DeepPPI: Boosting Prediction of Protein-Protein Interactions with Deep Neural Networks.
J. Chem. Inf. Model., June, 2017
Int. J. Mach. Learn. Cybern., 2017
Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2015
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015
2014
Using the Multi-instance Learning Method to Predict Protein-Protein Interactions with Domain Information.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014
Predicting Protein-Protein Interaction Sites by Rotation Forests with Evolutionary Information.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014
2010
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010
2008
Prediction of Protein-Protein Interaction Sites Using Granularity Computing of Quotient Space Theory.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008