Yongkai Liu - Publications, H-index & Citations

Yongkai Liu

Stanford University

11H指数

44论文数

638被引数

收录论文 17

发表时间

Dynamical Multi-order Responses and Global Semantic-Infused Adversarial Learning: A Robust Airway Segmentation Method 动态多阶响应与全局语义注入的对抗学习：一种鲁棒气道分割方法

Medical Image Analysis

IF11.8

2025-11-15

OAAI

Sheng Zhang; Yang Nan; Yingying Fang; Shiyi Wang; Yongkai Liu; Giorgos Papanastasiou; Zhifan Gao; Shuo Li; Simon Walsh; Guang Yang

Both Infarcted and Noninfarcted Brain Regions Contribute to Deep Learning?Based MRI Prediction of Acute Stroke Outcome 梗死和非梗死脑区均有助于基于深度学习的急性卒中结局的MRI预测

AMERICAN JOURNAL OF NEURORADIOLOGY

IF3.7

2025-11-01

PREAI

Liu, Yongkai; Jiang, Bin; Van Voorst, Henk; Yu, Yannan; Li, Shuo; Feng, Helena; Zhang, Zhaosu; Luo, Sally; Liebeskind, David S.; Moseley, Michael E.; Albers, Greg; Wintermark, Max; Lansberg, Maarten G.; Heit, Jeremy J.; Zaharchuk, Greg

Deep Learning Applications in Imaging of Acute Ischemic Stroke: A Systematic Review and Narrative Summary 深度学习在急性缺血性卒中影像中的应用：系统综述与叙述性总结

RADIOLOGY

IF15.2

2025-04-01

PREAI

Jiang, Bin; Pham, Nancy; Staalduinen, Eric K. van; Liu, Yongkai; Nazari-Farsani, Sanaz; Sanaat, Amirhossein; van Voorst, Henk; Fettahoglu, Ates; Kim, Donghoon; Ouyang, Jiahong; Kumar, Ashwin; Srivatsan, Aditya; Hussein, Ramy; Lansberg, Maarten G.; Boada, Fernando; Zaharchuck, Gerg

Both Infarct and Non-infarcted Brain Regions Drive Acute Deep Learning Based MRI Prediction of Stroke Outcome 梗死和非梗死脑区均驱动急性深度学习基于MRI的卒中预后预测

STROKE

IF8.9

2025-02-01

PREAI

Liu, Yongkai; Voorst, Henk; Jiang, Bin; Yu, Yannan; Zaharchuk, Greg

Low-Carbon Transformation of Polysilicon Park Energy Systems: Optimal Economic Strategy with TD3 Reinforcement Learning 多晶硅园区能源系统的低碳转型：基于TD3强化学习的最优经济策略

PROCESSES

IF2.8

2025-01-18

OAAI

Hu, Shurui; Zhao, Chengwenxuan; Wu, Jialu; Bian, Haiyang; Liu, Yongkai

Prediction of Ischemic Stroke Functional Outcomes from Acute-Phase Noncontrast CT and Clinical Information

RADIOLOGY

IF15.2

2024-10-01

PREAI

Liu, Yongkai; Yu, Yannan; Ouyang, Jiahong; Jiang, Bin; Ostmeier, Sophie; Wang, Jia; Lu-Liang, Sarah; Yang, Yirong; Yang, Guang; Michel, Patrik; Liebeskind, David S.; Lansberg, Maarten; Moseley, Michael E.; Heit, Jeremy J.; Wintermark, Max; Albers, Gregory; Zaharchuk, Greg

A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes

AMERICAN JOURNAL OF NEURORADIOLOGY

IF3.7

2024-02-08

PREAI

Liu, Yongkai; Shah, Preya; Yu, Yannan; Horsey, Jai; Ouyang, Jiahong; Jiang, Bin; Yang, Guang; Heit, Jeremy J.; McCullough-Hicks, Margy E.; Hugdal, Stephen M.; Wintermark, Max; Michel, Patrik; Liebeskind, David S.; Lansberg, Maarten G.; Albers, Gregory W.; Zaharchuk, Greg

Non-inferiority of deep learning ischemic stroke segmentation on non-contrast CT within 16-hours compared to expert neuroradiologists

SCIENTIFIC REPORTS

IF3.9

2023-09-26

OAAI

Ostmeier, Sophie; Axelrod, Brian; Verhaaren, Benjamin F. J.; Christensen, Soren; Mahammedi, Abdelkader; Liu, Yongkai; Pulli, Benjamin; Li, Li-Jia; Zaharchuk, Greg; Heit, Jeremy J.

Functional Outcome Prediction in Acute Ischemic Stroke Using a Fused Imaging and Clinical Deep Learning Model 使用融合的成像和临床深度学习模型预测急性缺血性卒中的功能结局

STROKE

IF8.9

2023-09-01

PREAI

Liu, Yongkai; Yu, Yannan; Ouyang, Jiahong; Jiang, Bin; Yang, Guang; Ostmeier, Sophie; Wintermark, Max; Michel, Patrik; Liebeskind, David S.; Lansberg, Maarten G.; Albers, Gregory W.; Zaharchuk, Greg

Evaluation of Spatial Attentive Deep Learning for Automatic Placental Segmentation on Longitudinal MRI

JOURNAL OF MAGNETIC RESONANCE IMAGING

IF3.5

2022-08-16

OAAI

Liu, Yongkai; Zabihollahy, Fatemeh; Yan, Ran; Lee, Brian; Janzen, Carla; Devaskar, Sherin U.; Sung, Kyunghyun

Deep Learning Enables Prostate MRI Segmentation: A Large Cohort Evaluation With Inter-Rater Variability Analysis

FRONTIERS IN ONCOLOGY

IF3.3

2021-12-21

OAAI

Liu, Yongkai; Miao, Qi; Surawech, Chuthaporn; Zheng, Haoxin; Nguyen, Dan; Yang, Guang; Raman, Steven S.; Sung, Kyunghyun

Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification

DIAGNOSTICS

IF3.3

2021-09-28

OAAI

Liu, Yongkai; Zheng, Haoxin; Liang, Zhengrong; Miao, Qi; Brisbane, Wayne G.; Marks, Leonard S.; Raman, Steven S.; Reiter, Robert E.; Yang, Guang; Sung, Kyunghyun

Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRI 阴性多参数MRI前列腺活检结果的综合机器学习预测

JOURNAL OF MAGNETIC RESONANCE IMAGING

IF3.5

2021-06-23

OAAI

Zheng, Haoxin; Miao, Qi; Liu, Yongkai; Raman, Steven S.; Scalzo, Fabien; Sung, Kyunghyun

ME-Net: Multi-encoder net framework for brain tumor segmentation ME-Net: 用于脑肿瘤分割的多编码器网络框架

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

IF2.5

2021-03-07

112

PREAI

Zhang, Wenbo; Yang, Guang; Huang, He; Yang, Weiji; Xu, Xiaomei; Liu, Yongkai; Lai, Xiaobo

3D PBV-Net: An automated prostate MRI data segmentation method

COMPUTERS IN BIOLOGY AND MEDICINE

IF6.3

2021-01-01

PREAI

Jin, Yao; Yang, Guang; Fang, Ying; Li, Ruipeng; Xu, Xiaomei; Liu, Yongkai; Lai, Xiaobo

Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation

IEEE ACCESS

IF3.6

2020-01-01

OAAI

Liu, Yongkai; Yang, Guang; Hosseiny, Melina; Azadikhah, Afshin; Mirak, Sohrab Afshari; Miao, Qi; Raman, Steven S.; Sung, Kyunghyun

Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention

IEEE ACCESS

IF3.6

2019-01-01

OAAI

Liu, Yongkai; Yang, Guang; Afshari Mirak, Sohrab; Hosseiny, Melina; Azadikhah, Afshin; Zhong, Xinran; Reiter, Robert E.; Lee, Yeejin; Raman, Steven S.; Sung, Kyunghyun

研究方向