Xiaoming Qi | Southeast University

About Me

I am a Ph.D. student in the Department of Computer Science at Southeast University, Nanjing. I am co-advised by Prof. Guanyu Yang, Prof. Shuo Li, and Prof. Yueming Jin. Prior to this, I achieved master’s degree at Nanjing University of Information Science & Technology.

My research lies at the intersection of Deep Learning and Artificial Intelligence in Medicine – with a special focus on dealing with the tough task in cardiac structure analysis that are prior-driven and motion-realted. My research interests include medical imaging, federated learning, semi-supervised learning, contrastive learning, foundation model, and Computer-assisted Intelligent Diagnosis, etc.

News

[Aug. 2024] Our paper about Multi-modality MRI fusion is accepted to ECCV 2024.
[Dec. 2023] Our paper about Spatio-temporal is accepted to JBHI 2023.
[Jul. 2023] Our paper about network design is accepted to ICCV 2023.
[May 2022] Our paper about federated learning is accepted to MICCAI 2022.
[May 2022] Our paper about contrastive learning is accepted to MICCAI 2022.

Publications

JBHI

STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation

Xiaoming Qi, Yuting He, Yaolei Qi, Youyong Kong, Guanyu Yang, Shuo Li

IEEE Journal of Biomedical and Health Informatics, 2023.

BibTex

ICCV

Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation

Yaolei Qi, Yuting He, Xiaoming Qi, Yuan Zhang, Guanyu Yang

International Conference on Computer Vision (ICCV), 2023.

Project Page BibTex

MICCAI

Contrastive Re-localization and History Distillation in Federated CMR Segmentation

Xiaoming Qi, Guanyu Yang, Yuting He, Wangyan Liu, Ali Islam, Shuo Li

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.

BibTex

JBHI

MVSGAN: Spatial-Aware Multi-View CMR Fusion for Accurate 3D Left Ventricular Myocardium Segmentation

Xiaoming Qi, Yuting He, Guanyu Yang, Yang Chen, Jian Yang, Wangyag Liu, Yinsu Zhu, Yi Xu, Huazhong Shu, Shuo Li

IEEE Journal of Biomedical and Health Informatics, 2022.

BibTex

MICCAI

SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-sequence MRI Diagnosis

Yuqiang Gao, Guanyu Yang, Xiaoming Qi, Yinsu Zhu, Shuo Li

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.

BibTex

Services

Journal Reviewers

IEEE Journal of Biomedical and Health Informatics (J-BHI)

Teaching assistant

Medical Robotics BN5211 - National University of Singapore

Contact

Address: Jiangsu, Nanjing, Sipailou
Lab Location: Sipailou 2
Email: qixiaoming12138 (at) 163.com
Phone: (86): 13770861974
Wechat: Qxm_2019_