Nina Cheng

16 papers Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
CIPHER: cross-modal integrated and pathology-aware embedded representation diffusion model with temporal consistency for brain MRI-to-PET translation.
Vis. Comput.
Kun Wu, Sichong Guan, Jun Pu, Nina Cheng, Xiao Lin, Nan Jiang
2026 J jnl
Early Alzheimer's disease classification via structure and feature-based graph attention network from multi-center data.
Neural Networks
Nina Cheng, Gai Li, Yu Liang, Yali Qiu, Xuegang Song, Huoyou Hu, Ee-Leng Tan, Tianfu Wang, Shuqiang Wang, Xiaohua Xiao, Shijie Zhao, Baiying Lei
2026 J jnl
Multi-attention-aware motion estimation for cardiac MR imaging based on a feature pyramid network.
Biomed. Signal Process. Control.
Kun Wu, Xiang Chen, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
2025 — conf
3D Multi-Modal Feature Interaction Fusion Network for Early Alzheimer's Disease Diagnosis.
ISBI
Gege Cai, Zhenghua Guan, Xiangwen Cai, Nina Cheng, Wenzheng Hu, Tengda Zhang, Yi Liu, Baiying Lei
2025 — conf
Multi-Modal Fusion Network Integrating Imaging and Clinical Tabular Data for Alzheimer's Disease Classification.
ISBI
Wenzheng Hu, Zhenghua Guan, Nina Cheng, Ao Zhang, Yi Liu, Tianfu Wang, Baiying Lei
2025 J jnl
SegMorph: Concurrent Motion Estimation and Segmentation for Cardiac MRI Sequences.
IEEE Trans. Medical Imaging
Ning Bi, Arezoo Zakeri, Yan Xia, Nina Cheng, Alejandro F. Frangi, Ali Gooya
2024 — conf
Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries.
ISBI
Yash Deo, Fengming Lin, Haoran Dou, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2024 — conf
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation.
ISBI
Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
2024 J jnl
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation.
CoRR
Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
2024 — conf
Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model.
ISBI
Nina Cheng, Zhengji Liu, Yash Deo, Haoran Dou, Ning Bi, Kun Wu, Fengming Lin, Zeike A. Taylor, Nishant Ravikumar, Alejandro F. Frangi
2022 — conf
A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging.
MIUA
Nina Cheng, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi
2021 J jnl
Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis.
Medical Image Anal.
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
2020 J jnl
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.
Medical Image Anal.
Baiying Lei, Nina Cheng, Alejandro F. Frangi, Ee-Leng Tan, Jiuwen Cao, Peng Yang, Ahmed Elazab, Jie Du, Yanwu Xu, Tianfu Wang
2020 — conf
Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis.
MICCAI (7)
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
2019 — conf
Low Rank Self-calibrated Brain Network Estimation and Autoweighted Centralized Multi-Task Learning for Early Mild Cognitive Impairment Diagnosis.
EMBC
Nina Cheng, Ahmed El-Azab, Peng Yang, Dongdong Liu, Shuangzhi Yu, Tianfu Wang, Baiying Lei
2019 — conf
MelanomaNet: An Effective Network for Melanoma Detection.
EMBC
Rian Huang, Jiajun Liang, Feng Jiang, Feng Zhou, Nina Cheng, Tianfu Wang, Baiying Lei