Qiangguo Jin

According to our database, Qiangguo Jin authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation.

Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su

Expert Syst. Appl., March, 2024

TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes.

Ran Su, Rui Shi, Hui Cui, Ping Xuan, Chengyan Fang, Xikang Feng, Qiangguo Jin

CoRR, 2024

Evolving graph convolutional network with transformer for CT segmentation.

Hui Cui, Qiangguo Jin, Xixi Wu, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan, David Dagan Feng

Appl. Soft Comput., 2024

A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis.

Jianqiao Zhang, Hao Xiong, Qiangguo Jin, Tian Feng, Jiquan Ma, Ping Xuan, Peng Cheng, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Linlin Wang, Hui Cui

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones.

Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Retinal Vessel Segmentation via Cross-attention Feature Fusion.

Tian Feng, Jiaheng Wang, Junao Shen, Qiangguo Jin, Zhiyuan Zhu, Xinyu Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation.

Ping Xuan, Xixi Wu, Hui Cui, Qiangguo Jin, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Henry B. L. Duh

Appl. Soft Comput., January, 2023

Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction.

Ping Xuan, Yue Zhao, Hui Cui, Linyun Zhan, Qiangguo Jin, Tiangang Zhang, Toshiya Nakaguchi

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information.

Qiangguo Jin, Changjiang Zou, Hui Cui, Changming Sun, Shu-Wei Huang, Yi-Jie Kuo, Ping Xuan, Leilei Cao, Ran Su, Leyi Wei, Henry B. L. Duh, Yu-Pin Chen

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.

Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Prototype as Query for Few Shot Semantic Segmentation.

Leilei Cao, Yibo Guo, Ye Yuan, Qiangguo Jin

CoRR, 2022

Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation.

Ping Xuan, Bin Jiang, Hui Cui, Qiangguo Jin, Peng Cheng, Toshiya Nakaguchi, Tiangang Zhang, Changyang Li, Zhiyu Ning, Menghan Guo, Linlin Wang

Comput. Methods Programs Biomed., 2022

Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement.

Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su

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.

Ran Su, Xiaoying Liu, Qiangguo Jin, Xiaofeng Liu, Leyi Wei

Knowl. Based Syst., 2021

Free-form tumor synthesis in computed tomography images via richer generative adversarial network.

Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su

Knowl. Based Syst., 2021

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images.

Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su

Expert Syst. Appl., 2021

Cascade knowledge diffusion network for skin lesion diagnosis and segmentation.

Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su

Appl. Soft Comput., 2021

Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network.

Yulu Guan, Hui Cui, Yiyue Xu, Qiangguo Jin, Tian Feng, Huawei Tu, Ping Xuan, Wanlong Li, Linlin Wang, Henry Been-Lirn Duh

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.

Hui Cui, Ping Xuan, Qiangguo Jin, Mingjun Ding, Butuo Li, Bing Zou, Yiyue Xu, Bingjie Fan, Wanlong Li, Jinming Yu, Linlin Wang, Henry B. L. Duh

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.

Qiangguo Jin, Qi Chen, Zhaopeng Meng, Bing Wang, Ran Su

Neural Process. Lett., 2020

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

Ran Su, Tianling Liu, Changming Sun, Qiangguo Jin, Rachid Jennane, Leyi Wei

Neurocomputing, 2020

2019

DUNet: A deformable network for retinal vessel segmentation.

Qiangguo Jin, Zhaopeng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su

Knowl. Based Syst., 2019

2018

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

Qiangguo Jin, Zhao-Peng Meng, Changming Sun, Leyi Wei, Ran Su

CoRR, 2018

Encoded Texture Features to Characterize Bone Radiograph Images.

Ran Su, Weijun Chen, Leyi Wei, Xiuting Li, Qiangguo Jin, Wenyuan Tao

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

SOMR: Towards a Security-Oriented MapReduce Infrastructure.

Rui Zhao, Zhao-Peng Meng, Yan Zheng, Qiangguo Jin, Anbang Ruan, Hanglun Xie

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017