Qiangguo Jin

Orcid: 0000-0002-1781-1067

According to our database1, Qiangguo Jin authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation.
Expert Syst. Appl., March, 2024

2023
Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation.
Appl. Soft Comput., January, 2023

Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Prototype as Query for Few Shot Semantic Segmentation.
CoRR, 2022

Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation.
Comput. Methods Programs Biomed., 2022

Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Identification of glioblastoma molecular subtype and prognosis based on deep MRI features.
Knowl. Based Syst., 2021

Free-form tumor synthesis in computed tomography images via richer generative adversarial network.
Knowl. Based Syst., 2021

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images.
Expert Syst. Appl., 2021

Cascade knowledge diffusion network for skin lesion diagnosis and segmentation.
Appl. Soft Comput., 2021

Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Construction of Retinal Vessel Segmentation Models Based on Convolutional Neural Network.
Neural Process. Lett., 2020

Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses.
Neurocomputing, 2020

2019
DUNet: A deformable network for retinal vessel segmentation.
Knowl. Based Syst., 2019

2018
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans.
CoRR, 2018

Encoded Texture Features to Characterize Bone Radiograph Images.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
SOMR: Towards a Security-Oriented MapReduce Infrastructure.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017


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