Yabo Fu

According to our database1, Yabo Fu authored at least 33 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Deformable image registration of chest CT using deep cycle network.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

2022
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy.
CoRR, 2022

Deep learning based volume-to-slice MRI registration via intentional overfitting.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

CT-based volumetric strain imaging via a deep learning registration framework.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Longitudinal deformable MRI registration via dual-feasible deep learning-based framework.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching.
Medical Image Anal., 2021

Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Prostate dose prediction in HDR Brachytherapy using unsupervised multi-atlas fusion.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Radiation dose prediction for pancreatic stereotactic body radiotherapy via convention neural networks.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

CT-MRI pelvic deformable registration via deep learning.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Multi-organ segmentation of male pelvic CT using dual attention networks.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Deep learning-based deformable MRI-CBCT registration of male pelvic region.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

A learning-based nonrigid MRI-CBCT image registration method for MRI-guided prostate cancer radiotherapy.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020
Deep Learning in Multi-organ Segmentation.
CoRR, 2020

Machine Learning in Quantitative PET Imaging.
CoRR, 2020

Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Multi-modality MRI arbitrary transformation using unified generative adversarial networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Super-resolution magnetic resonance imaging reconstruction using deep attention networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

An unsupervised deep learning approach for 4DCT lung deformable image registration.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Mask R-CNN based coronary artery segmentation in coronary computed tomography angiography.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019
Deep Learning in Medical Image Registration: A Review.
CoRR, 2019

CBCT-Based Synthetic MRI Generation for CBCT-Guided Adaptive Radiotherapy.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

2015
Modeling of human artery tissue with probabilistic approach.
Comput. Biol. Medicine, 2015


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