Qiangguo Jin

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Ph.D., Tenure-track Associate Professor,
School of Software,
Northwestern Polytechnical University (NWPU)
No. 127 Taicang Ave., Taicang City, Jiangsu Province, P.R. China.
E-mail: qgking@nwpu.edu.cn

[GitHub] [Google] [Linkedin]

News!

[2024/08]  Two papers have been accepted by IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[2024/06]  "Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones" has been accepted by International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI).
[2024/05]  "A Multi-Information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis" has been accepted by Medical Image Computing and Computer Assisted Intervention (MICCAI).
[2024/03]  "Retinal Vessel Segmentation via Cross-Attention Feature Fusion" has been accepted by IEEE International Conference on Multimedia and Expo (ICME).
[2024/02]  "Mutually enhanced multi-view information learning for segmentation of lung tumor in CT images" has been published on Physics in Medicine & Biology.
[2023/10]  "Inter-and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation" has been published on Expert Systems with Applications.
[2023/10]  "Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans" has been accepted by IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[2023/05]  "Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information" has been accepted by Medical Image Computing and Computer Assisted Intervention (MICCAI).

Bio

Qiangguo Jin is currently an associate professor@Northwestern Polytechnical University (NWPU), China. He received BA, ME, and Ph.D degrees from Tianjin University. His research lies in medical image analysis and bioinformatics. Qiangguo Jin has published papers in highly regarded journals and conferences.

Research Interests

Medical Image Analysis: Mainly focusing on improving lesion detection and anatomical structure analysis.
Bioinformatics: Mainly focusing on drug development, complex disease diagnosis and treatment.

Call for graduate and undergraduate students! Hope you are hardworking, determined, and have basic programming skills and mathematics knowledge. You can receive detailed supervision on research and would have a promising career. Feel free to contact me via email.

Education

Publication

Some selected papers are listed, visit Google Scholar for more publications.
Journal:

[ESWA]  
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Expert Systems with Applications (2023).
Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, et al.
[PDF] [Code]

[ESWA]  
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
Expert Systems with Applications (2021).
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, and Ran Su.
[PDF] [Code]

[KNOSYS]  
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Knowledge-Based Systems (2021).
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, and Ran Su.
[PDF] [Code]

[ASOC]  
Cascade knowledge diffusion network for skin lesion diagnosis and segmentation
Applied Soft Computing (2021).
Qiangguo Jin, Hui Cui, Zhaopeng Meng, Changming Sun, and Ran Su.
[PDF] [Code]

[FBIOE]  
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Frontiers in Bioengineering and Biotechnology (2020).
Qiangguo Jin, Zhaopeng Meng, Changming Sun, Hui Cui, and Ran Su.
[PDF] [Code]

[KNOSYS]  
DUNet: A deformable network for retinal vessel segmentation.
Knowledge-Based Systems (2019)
Qiangguo Jin, Zhaopeng Meng, Tuan D Pham, Qi Chen, Leyi Wei, and Ran Su.
[PDF] [Code]

[NEUCOM]  
Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses
Neurocomputing (2020).
Ran Su, Tianling Liu, Changming Sun, Qiangguo Jin, Rachid Jennane, and Leyi Wei.
[PDF]

Conference:

[BIBM]  
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans
IEEE International Conference on Bioinformatics and Biomedicines (2023).
Qiangguo Jin, Hui Cui, Changming Sun, et al.
[PDF]

[MICCAI]  
Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information
International Conference on Medical Image Computing and Computer-Assisted Intervention (2023).
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, et al.
[PDF] [Code]

[MICCAI]  
Semi-supervised histological image segmentation via hierarchical consistency enforcement
International Conference on Medical Image Computing and Computer-Assisted Intervention (2022).
Qiangguo Jin, Hui Cui, Changming Sun, et al.
[PDF]

[MICCAI]  
Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network
International Conference on Medical Image Computing and Computer-Assisted Intervention (2021).
Yulu Guan, Hui Cui, Yiyue Xu, Qiangguo Jin, et al.
[PDF]

[MICCAI]  
Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction
International Conference on Medical Image Computing and Computer-Assisted Intervention (2021).
Hui Cui, Ping Xuan, Qiangguo Jin, et al.
[PDF]

Service

I serve as a reviewer of:

Social media

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© Qiangguo Jin | Last updated: Aug. 2024