( en | de | ru )

 

Disambiguation of "Zhang, Fan"

Author of the publication

copydeleteadd this publication to your clipboard
Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation.

, , , , , , , , , , , and . Medical Image Anal., (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Fan Zhang

Fan Zhang

Fan Zhang

Fan Zhang

Fan Zhang

 

Other publications of authors with the same name

coSense: Collaborative Urban-Scale Vehicle Sensing Based on Heterogeneous Fleets., , , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2 (4): 196:1-196:25 (2018)A segmentation network for smart weed management in wheat fields., , , , and . Comput. Electron. Agric., (2022)Precise maize detasseling base on oriented object detection for tassels., , , and . Comput. Electron. Agric., (2022)Moving Car Recognition and Removal for 3D Urban Modelling Using Oblique Images., , , , , and . Remote. Sens., 13 (17): 3458 (2021)Weakly Supervised Deep Soft Clustering for Flood Identification in SAR Images., , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Edge-guided single facial depth map super-resolution using CNN., , , , and . IET Image Process., 14 (17): 4708-4716 (2020)GAMFlow: Global Attention-Based Flow Model for Anomaly Detection and Localization., , , , and . IEEE Access, (2023)Instance Segmentation in Very High Resolution Remote Sensing Imagery Based on Hard-to-Segment Instance Learning and Boundary Shape Analysis., , , , , and . Remote. Sens., 14 (1): 23 (2022)Automated Simulation Framework for Urban Wind Environments Based on Aerial Point Clouds and Deep Learning., , , , , and . Remote. Sens., 13 (12): 2383 (2021)sharedCharging: Data-Driven Shared Charging for Large-Scale Heterogeneous Electric Vehicle Fleets., , , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3 (3): 108:1-108:25 (2019)