Dengqiang Jia

According to our database, Dengqiang Jia authored at least 14 papers between 2016 and 2025.

Collaborative distances:

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

2025

Transferring Adult-Like Phase Images for Robust Multi-View Isointense Infant Brain Segmentation.

Huabing Liu, Jiawei Huang, Dengqiang Jia, Qian Wang, Jun Xu, Dinggang Shen

IEEE Trans. Medical Imaging, January, 2025

2024

Multi-Organ Registration With Continual Learning.

Wangbin Ding, Haoran Sun, Chenhao Pei, Dengqiang Jia, Liqin Huang

IEEE Signal Process. Lett., 2024

DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels.

Dengqiang Jia, Xinnian Yang, Xiaosong Xiong, Shijie Huang, Feiyu Hou, Li Qin, Kaicong Sun, Kannie W. Y. Chan, Dinggang Shen

CoRR, 2024

Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution.

Zilong Wang, Xinyang Ge, Xiaorong Chen, Lei Li, Wangbin Ding, Yuanye Liu, Fuping Wu, Dengqiang Jia

Proceedings of the Shape in Medical Imaging - International Workshop, 2024

SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis.

Runqi Meng, Zonglin Liu, Yiqun Sun, Dengqiang Jia, Lin Teng, Qiong Ma, Tong Tong, Kaicong Sun, Dinggang Shen

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net.

Anglin Liu, Dengqiang Jia, Kaicong Sun, Runqi Meng, Meixin Zhao, Yongluo Jiang, Zhijian Dong, Yaozong Gao, Dinggang Shen

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

2023

Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding.

Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang

Medical Image Anal., October, 2023

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge.

Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Shihao Ma, Adamo Young, Cheng Zhu, Kangkang Meng, Xin Yang, Ziyan Huang, Fan Zhang, Wentao Liu, YuanKe Pan, Shoujin Huang, Jiacheng Wang, Mingze Sun, Weixin Xu, Dengqiang Jia, Jae Won Choi, Natália Alves, Bram De Wilde, Gregor Köhler, Yajun Wu, Manuel Wiesenfarth, Qiongjie Zhu, Guoqiang Dong, Jian He, the FLARE Challenge Consortium, Bo Wang

CoRR, 2023

Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior.

Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang

CoRR, 2023

2022

Semi-supervised Multi-organ Segmentation with Cross Supervision Using Siamese Network.

Dengqiang Jia

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

2021

A low-rank representation for unsupervised registration of medical images.

Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang

CoRR, 2021

Learning-based algorithms for vessel tracking: A review.

Dengqiang Jia, Xiahai Zhuang

Comput. Medical Imaging Graph., 2021

2019

Directional fast-marching and multi-model strategy to extract coronary artery centerlines.

Dengqiang Jia, Xiahai Zhuang

Comput. Biol. Medicine, 2019

2016

A Multi-resolution Multi-model Method for Coronary Centerline Extraction Based on Minimal Path.

Dengqiang Jia, Wenzhe Shi, Daniel Rueckert, Liu Liu, Sébastien Ourselin, Xiahai Zhuang

Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016