Publications of Zihao Wang

1. Zihao Wang. Deep generative learning for medical data processing, analysis and modeling : application to cochlea CT imaging. Theses, Université Côte d'Azur, September 2021. Keyword(s): Generative learning, Bayesian learning, Stochastic flow, Deep learing, Generative learning, Apprentissage génératif, Apprentissage bayésien, Flux stochastique, Apprentissage profond, Apprentissage génératif. [bibtex-entry]

1. Raabid Hussain, Attila Frater, Roger Calixto, Chadlia Karoui, Jan Margeta, Zihao Wang, Michel Hoen, Hervé Delingette, François Patou, Charles Raffaelli, Clair Vandersteen, and Nicolas Guevara. Anatomical Variations of the Human Cochlea Using an Image Analysis Tool. Journal of Clinical Medicine, 12(2):509, January 2023. Keyword(s): Otology, Cochlea Modeling, Medical Image Analysis, cochlear morphology, cochlear implantation, statistical analysis. [bibtex-entry]



2. Zihao Wang, Zhifei Xu, Jiayi He, Herve Delingette, and Jun Fan. Long Short-Term Memory Neural Equalizer. IEEE Transactions on Signal and Power Integrity, 2:13-22, 2023. [bibtex-entry]



3. Jan Margeta, Raabid Hussain, Paula López Diez, Anika Morgenstern, Thomas Demarcy, Zihao Wang, Dan Gnansia, Octavio Martinez Manzanera, Clair Vandersteen, Hervé Delingette, Andreas Buechner, Thomas Lenarz, François Patou, and Nicolas Guevara. A Web-Based Automated Image Processing Research Platform for Cochlear Implantation-Related Studies. Journal of Clinical Medicine, 11(22):6640, November 2022. Keyword(s): cochlear implant, image analysis, computed tomography, machine learning, deep learning, image segmentation, 3D model, tonotopic mapping, visualization. [bibtex-entry]



4. Zihao Wang, Thomas Demarcy, Clair Vandersteen, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, and Hervé Delingette. Bayesian Logistic Shape Model Inference: application to cochlear image segmentation. Medical Image Analysis, 75:102268, October 2021. Keyword(s): Bayesian Inference, Image Segmentation, Shape Modeling. [bibtex-entry]



5. Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, and Hervé Delingette. Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks. Computerized Medical Imaging and Graphics, 93:101990, October 2021. Keyword(s): Artifact Reduction, Deep Learning, GAN. [bibtex-entry]



6. Zhifei Xu, Zihao Wang, Yin Sun, Chulsoon Hwang, Hervé Delingette, and Jun Fan. Jitter Aware Economic PDN Optimization with a Genetic Algorithm. IEEE Transactions on Microwave Theory and Techniques, June 2021. Note: Corresponding authors: Zihao Wang; Chulsoon Hwang. Keyword(s): PDN, Jitter, PSIJ, Decoupling capacitor, Genetic algorithm, Power integrity. [bibtex-entry]

1. Zihao Wang, Yingyu Yang, Maxime Sermesant, and Hervé Delingette. Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers. In STACOM 2022 - 13th workshop on Statistical Atlases and Computational Models of the Heart, Singapore, Singapore, September 2022. Keyword(s): Unsupervised Registration, MLP, Transformer, Echocardiography. [bibtex-entry]



2. Zihao Wang, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, François Patou, and Hervé Delingette. One-shot Learning Landmarks Detection. In MICCAI 2021 - Workshop on Data Augmentation, Labeling, and Imperfections, volume 13003 of Lecture Notes in Computer Science (LNCS), strasbourg, France, pages 163-172, October 2021. Springer. [bibtex-entry]



3. Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, and Hervé Delingette. A Deep Learning based Fast Signed Distance Map Generation. In MIDL 2020 - Medical Imaging with Deep Learning, Montréal, Canada, July 2020. [bibtex-entry]



4. Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, and Hervé Delingette. Deep Learning based Metal Artifacts Reduction in post-operative Cochlear Implant CT Imaging. In MICCAI 2019 - 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, Shenzhen, China, pages 121-129, October 2019. Keyword(s): Metal Artifacts Reduction, Generative adversarial networks. [bibtex-entry]



5. Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss. In STACOM: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, volume 11395 of LNCS, Granada, Spain, pages 221-229, September 2018. Keyword(s): distance map, ensemble prediction, loss function, contour loss, left atrium, deep learning, segmentation, 3D U-Net. [bibtex-entry]

1. Zihao Wang and Hervé Delingette. Attention for Image Registration (AiR): an unsupervised Transformer approach. Note: Working paper or preprint, May 2021. Keyword(s): Transformer, Images Registration, Deep Learning. [bibtex-entry]



2. Zihao Wang and Hervé Delingette. Quasi-Symplectic Langevin Variational Autoencoder. Note: Working paper or preprint, June 2021. [bibtex-entry]



3. Zihao Wang, Zhifei Xu, Jiayi He, Hervé Delingette, and Jun Fan. Long Short-Term Memory Neural Equalizer. Note: Working paper or preprint, November 2020. Keyword(s): decision feedback equalizer, neuromorphic computing, deep learning, LSTM. [bibtex-entry]

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