Nina Cheng

According to our database, Nina Cheng authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation.

Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries.

Yash Deo, Fengming Lin, Haoran Dou, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model.

Nina Cheng, Zhengji Liu, Yash Deo, Haoran Dou, Ning Bi, Kun Wu, Fengming Lin, Zeike A. Taylor, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2022

A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging.

Nina Cheng, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021

Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis.

Baiying Lei, Nina Cheng, Alejandro F. Frangi, Yichen Wei, Bihan Yu, Lingyan Liang, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Tianfu Wang, Lihua Zhao, Demao Deng, Zhiguo Zhang

Medical Image Anal., 2021

2020

Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.

Baiying Lei, Nina Cheng, Alejandro F. Frangi, Ee-Leng Tan, Jiuwen Cao, Peng Yang, Ahmed Elazab, Jie Du, Yanwu Xu, Tianfu Wang

Medical Image Anal., 2020

Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis.

Nina Cheng, Alejandro Frangi, Zhiguo Zhang, Denao Deng, Lihua Zhao, Tianfu Wang, Yichen Wei, Bihan Yu, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Baiying Lei

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

MelanomaNet: An Effective Network for Melanoma Detection.

Rian Huang, Jiajun Liang, Feng Jiang, Feng Zhou, Nina Cheng, Tianfu Wang, Baiying Lei

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Low Rank Self-calibrated Brain Network Estimation and Autoweighted Centralized Multi-Task Learning for Early Mild Cognitive Impairment Diagnosis.

Nina Cheng, Ahmed El-Azab, Peng Yang, Dongdong Liu, Shuangzhi Yu, Tianfu Wang, Baiying Lei

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019