Zihao Wang

According to our database, Zihao Wang authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

Multi-Modal Enhanced Graph Transfer Learning for Digital Finance Fraud Detection.

Yuxin Liu, Stephen Chan, Jeffrey Chu, Yuanyuan Zhang, Chenguang Yang, Zihao Wang, Yulia R. Gel, Yuzhou Chen

Proceedings of the ACM Web Conference 2026, 2026

2025

Multi-Energy Quasi-Symplectic Langevin Inference for Latent Disentangled Learning.

Zihao Wang, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, Hervé Delingette

IEEE Trans. Image Process., 2025

Stochastic Flow Inference for Medical Image Digital Twins.

Zihao Wang, Yuzhou Chen, Herve Delingette

Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, 2025

2024

Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation.

Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Hervé Delingette, Ona Wu

IEEE Trans. Medical Imaging, August, 2024

Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation.

Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Herve Delingette, Ona Wu

CoRR, 2024

2023

Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion.

Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu

CoRR, 2023

2022

Bayesian logistic shape model inference: Application to cochlear image segmentation.

Zihao Wang, Thomas Demarcy, Clair Vandersteen, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette

Medical Image Anal., 2022

Unsupervised Echocardiography Registration Through Patch-Based MLPs and Transformers.

Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2021

Attention for Image Registration (AiR): an unsupervised Transformer approach.

Zihao Wang, Hervé Delingette

CoRR, 2021

Bayesian Logistic Shape Model Inference: application to cochlea image segmentation.

Zihao Wang, Thomas Demarcy, Clair Vandersteen, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette

CoRR, 2021

Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks.

Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette

Comput. Medical Imaging Graph., 2021

One-Shot Learning for Landmarks Detection.

Zihao Wang, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, François Patou, Hervé Delingette

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

2020

Quasi-symplectic Langevin Variational Autoencoder.

Zihao Wang, Hervé Delingette

CoRR, 2020

A Deep Learning based Fast Signed Distance Map Generation.

Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette

CoRR, 2020

2019

Deep Learning Based Metal Artifacts Reduction in Post-operative Cochlear Implant CT Imaging.

Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss.

Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, Maxime Sermesant

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018