Zichen Wang

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Corey W. ArnoldProfessor, Depts of Radiology, Pathology, Bioengineering, and Electrical & Computer EngineeringVerified email at ucla.edu
William SpeierUCLAVerified email at ucla.edu
Wenyuan LiResearch Scientist, FacebookVerified email at fb.com
Mu ZhouStanford University; Rutgers UniversityVerified email at stanford.edu
Jennifer PolsonPhD Student, Medical Imaging Informatics at UCLAVerified email at g.ucla.edu
Olivier GevaertStanford UniversityVerified email at stanford.edu
Katie Shpanskaya, MDDuke UniversityVerified email at duke.edu
Nicholas A. VitanzaAssociate Professor - Laboratory PI - CNS CAR T cell Lead - DIPG Research Lead, Seattle Children'sVerified email at seattlechildrens.org
Sridhar Vajapeyamchildrens hospitalVerified email at childrens.harvard.edu
Michael TaylorTexas Children's Hospital, Baylor College of MedicineVerified email at bcm.edu
Eric TranvinhClinical Assistant Professor, Stanford UniversityVerified email at stanford.edu
Michael IvStanford UniversityVerified email at stanford.edu
Vijay RamaswamyHospital for Sick Children, University of TorontoVerified email at sickkids.ca
Huihui YeCedars-Sinai Medical CenterVerified email at cshs.org

Zichen Wang

UCLA Biomedical Artificial Intelligence Research Lab

Verified email at g.ucla.edu - Homepage

Graph Deep Learning Computational Medicine


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MR imaging–based radiomic signatures of distinct molecular subgroups of medulloblastoma M Iv, M Zhou, K Shpanskaya, S Perreault, Z Wang, E Tranvinh, ... American Journal of Neuroradiology 40 (1), 154-161, 2019	112	2019
Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing Z Wang, M Zhou, C Arnold Bioinformatics 36, i525-i533, 2020	78	2020
High resolution histopathology image generation and segmentation through adversarial training W Li, J Li, J Polson, Z Wang, W Speier, C Arnold Medical Image Analysis 75, 102251, 2022	34	2022
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach. W Li, Z Wang, J Li, J Polson, W Speier, CW Arnold CVPR Workshops, 1-11, 2019	34	2019
Pathal: An active learning framework for histopathology image analysis W Li, J Li, Z Wang, J Polson, AE Sisk, DP Sajed, W Speier, CW Arnold IEEE transactions on medical imaging 41 (5), 1176-1187, 2021	29	2021
Semi-supervised learning using adversarial training with good and bad samples W Li, Z Wang, Y Yue, J Li, W Speier, M Zhou, C Arnold Machine Vision and Applications 31, 1-11, 2020	25	2020
Graph convolutional networks for multi-modality medical imaging: Methods, architectures, and clinical applications K Ding, M Zhou, Z Wang, Q Liu, CW Arnold, S Zhang, DN Metaxas arXiv preprint arXiv:2202.08916, 2022	22	2022
Hierarchical graph pathomic network for progression free survival prediction Z Wang, J Li, Z Pan, W Li, A Sisk, H Ye, W Speier, CW Arnold Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021	14	2021
Codebook VQ-VAE Approach for Prostate Cancer Diagnosis using Multiparametric MRI E Redekop, M Pleasure, Z Wang, KV Sarma, A Kinnaird, W Speier, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	1	2024
Integration of Graph Neural Network and Neural-ODEs for Tumor Dynamic Prediction O Bazgir, Z Wang, M Hafner, J Lu arXiv preprint arXiv:2310.00926, 2023		2023
Deep Learning for Tumor-Associated Stroma Identification in Prostate Histopathology Slides Z Wang, M Pleasure, H Zhang, K Flores, A Sisk, W Speier, CW Arnold International Conference on Medical Image Computing and Computer-Assisted …, 2023		2023

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