Zichen Wang 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	326	325
h 指数	8	8
i10 指数	8	8

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Corey W. ArnoldProfessor, Depts of Radiology, Pathology, Bioengineering, and Electrical & Computer Engineering在 ucla.edu 的电子邮件经过验证
William SpeierUCLA在 ucla.edu 的电子邮件经过验证
Wenyuan LiResearch Scientist, Facebook在 fb.com 的电子邮件经过验证
Mu ZhouStanford University; Rutgers University在 stanford.edu 的电子邮件经过验证
Jennifer PolsonPhD Student, Medical Imaging Informatics at UCLA在 g.ucla.edu 的电子邮件经过验证
Olivier GevaertStanford University在 stanford.edu 的电子邮件经过验证
Katie Shpanskaya, MDDuke University在 duke.edu 的电子邮件经过验证
Nicholas A. VitanzaAssociate Professor - Laboratory PI - CNS CAR T cell Lead - DIPG Research Lead, Seattle Children's在 seattlechildrens.org 的电子邮件经过验证
Sridhar Vajapeyamchildrens hospital在 childrens.harvard.edu 的电子邮件经过验证
Michael TaylorTexas Children's Hospital, Baylor College of Medicine在 bcm.edu 的电子邮件经过验证
Eric TranvinhClinical Assistant Professor, Stanford University在 stanford.edu 的电子邮件经过验证
Michael IvStanford University在 stanford.edu 的电子邮件经过验证
Vijay RamaswamyHospital for Sick Children, University of Toronto在 sickkids.ca 的电子邮件经过验证
Huihui YeCedars-Sinai Medical Center在 cshs.org 的电子邮件经过验证

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Zichen Wang

UCLA Biomedical Artificial Intelligence Research Lab

在 g.ucla.edu 的电子邮件经过验证 - 首页

Graph Deep Learning Computational Medicine


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	110	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	73	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	31	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	30	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	24	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	24	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	21	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	13	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		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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