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

News!

[2024/03]  One paper has been accepted by ICME2024.
[2023/10]  One paper has been accepted by Expert Systems with Applications.
[2023/10]  One paper has been accepted by BIBM 2023.
[2023/05]  One paper has been accepted by MICCAI 2023.
[2022/05]  One paper has been accepted by MICCAI 2022.

Bio

Qiangguo Jin is currently an associate professor@Northwestern Polytechnical University (NWPU), China. His research lies in medical image analysis and bioinformatics. Qiangguo Jin has published papers in highly regarded journals and conferences such as KNOSYS, ASOC, MICCAI.

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.

Our group has several Master positions. If you are a self-motivated student with proficient programming skills and strong interests in the research directions, please send me your CV.

Education

• [2019/09 - 2021/04]  Visiting scholar at Data61, CSIRO, Australia. (supervised by Prof. Changming Sun)

• [2017/09 - 2021/07]  Ph.D. in College of Intelligence and Computing, Tianjin University. (co- supervised by Prof. Zhaopeng Meng and Prof. Ran Su)

• [2014/09 - 2017/01]  M.S. in School of Computer Software, Tianjin University. (supervised by Prof. Zhaopeng Meng)

• [2010/09 - 2014/07]  B.S. in School of Computer Software, Tianjin University. (supervised by Prof. Zhaopeng Meng)

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:

• Association for the Advancement of Artificial Intelligence (AAAI 2023/2024)

• ACM International Conference on Multimedia (ACM MM202120222023/2024)

• International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2022/2023)

• IEEE Transactions on Medical Imaging (TMI)

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

• IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2023)

• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

• Expert Systems With Applications (ESWA)

• IEEE Journal of Biomedical and Health Informatics (JBHI)

• Biocybernetics and Biomedical Engineering (BBE)

• International Journal of Machine Learning and Cybernetics (JMLC)

• Machine Vision and Applications (MVAP)

• Informatics in Medicine Unlocked (IMU)

• Interdisciplinary Sciences: Computational Life Sciences (INSC)

• etc