Yabo Fu

3.6k citations

124 papers · 2.4k · 2 hit papers · h-index 23

Impact in

Radiation top 1%
- Advanced Radiotherapy Techniques
Radiology, Nuclear Medicine and Imaging top 1%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications

Papers in

Radiology, Nuclear Medicine and Imaging 34
- Medical Imaging Techniques and Applications 19
- Radiomics and Machine Learning in Medical Imaging 16
Radiation 32
- Advanced Radiotherapy Techniques 30

Co-authors: Xiaofeng Yang (49 shared papers)Yang Lei (48 shared papers)Walter J. Curran (42 shared papers)Tonghe Wang (42 shared papers)Tian Liu (5 shared papers)Tian Liu (10 shared papers)Pretesh Patel (25 shared papers)Tian Liu (23 shared papers)
Journals: Medical Physics (23 papers)Physics in Medicine and Biology (9 papers)Packaging Technology and Science (5 papers)Journal of Applied Clinical Medical Physics (4 papers)LWT (3 papers)
Partner nations: United States China Singapore

In The Last Decade

Yabo Fu

116 papers receiving 2.4k citations

Yabo Fu's Hit Papers

align trajectories log scale

A review of deep learning based methods for medical image multi-organ segmentation 2021 · 159 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Physica Medica
2020 Physics in Medicine and Biology

Peers

Countries citing papers authored by Yabo Fu

Since Specialization

Citations

This map shows the geographic impact of Yabo Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yabo Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yabo Fu more than expected).

Fields of papers citing papers by Yabo Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yabo Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yabo Fu. The network helps show where Yabo Fu may publish in the future.

Co-authors

The 25 scholars most cited alongside Yabo Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yabo Fu Line = papers co-authored together Yabo Fu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep learning in medical image registration: a review Physics in Medicine and Biology ·Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang Hit paper breakdown →	2020	441
2	A review on medical imaging synthesis using deep learning and its clinical applications Journal of Applied Clinical Medical Physics ·Tonghe Wang, Yang Lei, Yabo Fu, Jacob Wynne, Walter J. Curran, Tian Liu, Xiaofeng Yang	2020	180
3	A review of deep learning based methods for medical image multi-organ segmentation Physica Medica ·Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang Hit paper breakdown →	2021	159
4	CBCT‐based synthetic CT generation using deep‐attention cycleGAN for pancreatic adaptive radiotherapy Medical Physics ·Yingzi Liu, Yang Lei, Tonghe Wang, Yabo Fu, Xiangyang Tang, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang	2020	155
5	A novel MRI segmentation method using CNN‐based correction network for MRI‐guided adaptive radiotherapy Medical Physics ·Yabo Fu, Thomas R. Mazur, Xuefeng Wu, Shi Liu, Chang Xiao, Yonggang Lu, H. Harold Li, Hyun Kim, Michael Roach, Lauren E. Henke, Deshan Yang	2018	108
6	LungRegNet: An unsupervised deformable image registration method for 4D‐CT lung Medical Physics ·Yabo Fu, Yang Lei, Tonghe Wang, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang	2020	92
7	Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods Physica Medica ·Tonghe Wang, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Jonathon A. Nye, Xiaofeng Yang	2020	72
8	4D-CT deformable image registration using multiscale unsupervised deep learning Physics in Medicine and Biology ·Yang Lei, Yabo Fu, Tonghe Wang, Yingzi Liu, Pretesh Patel, Walter J. Curran, Tian Liu, Xiaofeng Yang	2020	66
9	Knowledge‐based radiation treatment planning: A data‐driven method survey Journal of Applied Clinical Medical Physics ·Shadab Momin, Yabo Fu, Yang Lei, Justin Roper, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang	2021	58
10	Multimodal MRI synthesis using unified generative adversarial networks Medical Physics ·Xianjin Dai, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Hui Mao, Xiaofeng Yang	2020	54
11	Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching Medical Image Analysis ·Yabo Fu, Yang Lei, Tonghe Wang, Pretesh Patel, Ashesh B. Jani, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang	2020	47
12	Pelvic multi‐organ segmentation on cone‐beam CT for prostate adaptive radiotherapy Medical Physics ·Yabo Fu, Yang Lei, Tonghe Wang, Sibo Tian, Pretesh Patel, Ashesh B. Jani, Walter J. Curran, Tian Liu, Xiaofeng Yang	2020	45
13	CT‐based multi‐organ segmentation using a 3D self‐attention U‐net network for pancreatic radiotherapy Medical Physics ·Yingzi Liu, Yang Lei, Yabo Fu, Tonghe Wang, Xiangyang Tang, Xiaojun Jiang, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang	2020	41
14	Head and neck multi‐organ auto‐segmentation on CT images aided by synthetic MRI Medical Physics ·Yingzi Liu, Yang Lei, Yabo Fu, Tonghe Wang, Jun Zhou, Xiaojun Jiang, Mark W. McDonald, Jonathan J. Beitler, Walter J. Curran, Tian Liu, Xiaofeng Yang	2020	37
15	Automatic and hierarchical segmentation of the human skeleton in CT images Physics in Medicine and Biology ·Yabo Fu, Shi Liu, Harold Li, Deshan Yang	2017	36
16	NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions International Journal of Radiation OncologyBiologyPhysics ·Yi Rong, Quan Chen, Yabo Fu, Xiaofeng Yang, Hania Al‐Hallaq, Qiuwen Wu, (unknown), Ying Xiao, Bin Cai, Kujtim Latifi, Stanley Benedict, Jeffrey C. Buchsbaum, X. Sharon Qi	2023	31
17	Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy Physics in Medicine and Biology ·Qiulan Zeng, Yabo Fu, Zhen Tian, Yang Lei, Yupei Zhang, Tonghe Wang, Hui Mao, Tian Liu, Walter J. Curran, Ashesh B. Jani, Pretesh Patel, Xiaofeng Yang	2020	31
18	Design and application of a passive modified atmosphere packaging for maintaining the freshness of Chinese cabbage LWT ·Da Yang, Dongli Li, Wencai Xu, Ruijuan Liao, Jiazi Shi, Yabo Fu, Jigang Wang, Yajun Wang, Xiaohui He	2018	30
19	Artificial Intelligence in Radiation Therapy IEEE Transactions on Radiation and Plasma Medical Sciences ·Yabo Fu, Hao Zhang, Eric Morris, Carri Glide‐Hurst, Suraj Pai, Alberto Traverso, Leonard Wee, Ibrahim Hadžić, Per-Ivar Lønne, Chenyang Shen, Tian Liu, Xiaofeng Yang	2021	29
20	Deformable MR‐CBCT prostate registration using biomechanically constrained deep learning networks Medical Physics ·Yabo Fu, Tonghe Wang, Yang Lei, Pretesh Patel, Ashesh B. Jani, Walter J. Curran, Tian Liu, Xiaofeng Yang	2020	28

About Yabo Fu

Yabo Fu is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 124 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (30 papers), Medical Imaging Techniques and Applications (19 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Postharvest Quality and Shelf Life Management (13 papers), Nanocomposite Films for Food Packaging (12 papers), Advanced X-ray and CT Imaging (12 papers), Medical Image Segmentation Techniques (10 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Radiation (554 citations), Radiology, Nuclear Medicine and Imaging (958 citations), Health Informatics (49 citations), Computer Vision and Pattern Recognition (545 citations) and Neurology (92 citations). Yabo Fu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Xiaofeng Yang, Yang Lei, Walter J. Curran, Tonghe Wang, Tian Liu, Tian Liu, Pretesh Patel, Tian Liu, Yingzi Liu and Tian Liu. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Packaging Technology and Science, Journal of Applied Clinical Medical Physics and LWT.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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