Zihao Wang - RankMe

18 papers B 1Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multi-Energy Quasi-Symplectic Langevin Inference for Latent Disentangled Learning. IEEE Trans. Image Process. Zihao Wang, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, Hervé Delingette
2025	B	`conf`	Stochastic Flow Inference for Medical Image Digital Twins. CHASE Zihao Wang, Yuzhou Chen, Herve Delingette
2024	J	`jnl`	Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation. CoRR Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Herve Delingette, Ona Wu
2024	J	`jnl`	Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation. IEEE Trans. Medical Imaging Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Hervé Delingette, Ona Wu
2023	J	`jnl`	Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion. CoRR Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu
2022	J	`jnl`	Bayesian logistic shape model inference: Application to cochlear image segmentation. Medical Image Anal. Zihao Wang, Thomas Demarcy, Clair Vandersteen, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette
2022	—	`conf`	Unsupervised Echocardiography Registration Through Patch-Based MLPs and Transformers. STACOM@MICCAI Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette
2022	J	`jnl`	Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers. CoRR Zihao Wang, Yingyu Yang, Maxime Sermesant, Herve Delingette
2021	J	`jnl`	Attention for Image Registration (AiR): an unsupervised Transformer approach. CoRR Zihao Wang, Hervé Delingette
2021	J	`jnl`	Bayesian Logistic Shape Model Inference: application to cochlea image segmentation. CoRR Zihao Wang, Thomas Demarcy, Clair Vandersteen, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette
2021	J	`jnl`	Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks. CoRR Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Herve Delingette
2021	J	`jnl`	Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks. Comput. Medical Imaging Graph. Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette
2021	—	`conf`	One-Shot Learning for Landmarks Detection. DGM4MICCAI/DALI@MICCAI Zihao Wang, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, François Patou, Hervé Delingette
2020	J	`jnl`	A Deep Learning based Fast Signed Distance Map Generation. CoRR Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette
2020	J	`jnl`	Quasi-symplectic Langevin Variational Autoencoder. CoRR Zihao Wang, Hervé Delingette
2019	—	`conf`	Deep Learning Based Metal Artifacts Reduction in Post-operative Cochlear Implant CT Imaging. MICCAI (6) Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette
2018	—	`conf`	Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss. STACOM@MICCAI Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, Maxime Sermesant
2018	J	`jnl`	Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss. CoRR Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, Maxime Sermesant