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Hongxu Yang
Hongxu Yang
GE Healthcare
在 ge.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Deep q-network-driven catheter segmentation in 3d us by hybrid constrained semi-supervised learning and dual-unet
H Yang, C Shan, AF Kolen, PHN de With
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
272020
Efficient and robust instrument segmentation in 3D ultrasound using patch-of-interest-FuseNet with hybrid loss
H Yang, C Shan, A Bouwman, AF Kolen, PHN de With
Medical Image Analysis 67, 101842, 2021
232021
Catheter localization in 3D ultrasound using voxel-of-interest-based ConvNets for cardiac intervention
H Yang, C Shan, AF Kolen, PHN de With
International journal of computer assisted radiology and surgery 14, 1069-1077, 2019
222019
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists
T Tan, B Das, R Soni, M Fejes, H Yang, S Ranjan, DA Szabo, V Melapudi, ...
Neurocomputing 485, 36-46, 2022
202022
Medical instrument detection in ultrasound: a review
H Yang, C Shan, AF Kolen, PHN de With
Artificial Intelligence Review 56 (5), 4363-4402, 2023
18*2023
Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss
H Yang, C Shan, T Tan, AF Kolen, PHN de With
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
182019
Catheter detection in 3d ultrasound using triplanar-based convolutional neural networks
H Yang, C Shan, AF Kolen, PHN de With
2018 25th IEEE International Conference on Image Processing (ICIP), 371-375, 2018
182018
Improving catheter segmentation & localization in 3d cardiac ultrasound using direction-fused fcn
H Yang, C Shan, AF Kolen, PHN de With
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
172019
Medical instrument segmentation in 3D US by hybrid constrained semi-supervised learning
H Yang, C Shan, A Bouwman, LRC Dekker, AF Kolen, PHN de With
IEEE Journal of Biomedical and Health Informatics 26 (2), 762-773, 2021
112021
Efficient catheter segmentation in 3D cardiac ultrasound using slice-based FCN with deep supervision and f-score loss
H Yang, C Shan, AF Kolen, PHN de With
2019 IEEE International Conference on Image Processing (ICIP), 260-264, 2019
112019
Catheter segmentation in three-dimensional ultrasound images by feature fusion and model fitting
H Yang, C Shan, A Pourtaherian, AF Kolen, PHN de With
Journal of Medical Imaging 6 (1), 015001-015001, 2019
112019
Feature study on catheter detection in three-dimensional ultrasound
H Yang, A Pourtaherian, C Shan, AF Kolen
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and …, 2018
112018
Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound
H Yang, C Shan, AF Kolen, PHN de With
Computerized Medical Imaging and Graphics 96, 102037, 2022
82022
PHN de with,“
H Yang, C Shan, AF Kolen
Efficient and robust instrument segmentation in 3d ultrasound using patch-of …, 2020
72020
Automated catheter localization in volumetric ultrasound using 3d patch-wise u-net with focal loss
H Yang, C Shan, AF Kolen, PHN de With
2019 IEEE International Conference on Image Processing (ICIP), 1346-1350, 2019
72019
Identifying an intervntional device in medical images
H Yang, AF Kolen, C Shan
US Patent App. 17/290,792, 2021
52021
Feasibility study of catheter segmentation in 3d frustum ultrasounds by dcnn
L Min, H Yang, C Shan, AF Kolen
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and …, 2020
52020
Private authentication keys based on wearable device EEG recordings
H Yang, V Mihajlović, T Ignatenko
2017 25th European Signal Processing Conference (EUSIPCO), 956-960, 2017
52017
Efficient medical instrument detection in 3D volumetric ultrasound data
H Yang, C Shan, AF Kolen, PHN de With
IEEE Transactions on Biomedical Engineering 68 (3), 1034-1043, 2020
42020
Artificial Intelligence System and Method for Defining and Visualizing Placement of a Catheter in a Patient Coordinate System Together with an Assessment of Typical Complications
P Tegzes, Z Herczeg, H Yang, Z Kiss, BP Cziria, P Dalal, A Baenen, ...
US Patent App. 18/385,448, 2024
2024
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