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Yong Yin

Shanghai Jiao Tong University(CN)

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320

Papers

2.6K

Citations

25

h-index

85

i10-index

Yong Yin is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Advanced Radiotherapy Techniques & Radiomics and Machine Learning in Medical Imaging & Medical Imaging Techniques and Applications. The author has an h-index of 25, co-authored 272 publications.

ORCID: 0000-0003-1090-4313

Research Topics

Advanced Radiotherapy Techniques Radiomics and Machine Learning in Medical Imaging Medical Imaging Techniques and Applications Lung Cancer Diagnosis and Treatment Medical Image Segmentation Techniques

Papers by this author

works

Radiomics signature extracted from diffusion-weighted magnetic resonance imaging predicts outcomes in osteosarcoma

2019 · Journal of bone oncology · 62 citations

https://doi.org/10.1016/j.jbo.2019.100263

Shuliang Zhao Yi Su Jinghao Duan Qingtao Qiu

Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures

2022 · Radiation Oncology · 39 citations

https://doi.org/10.1186/s13014-022-02186-0

Yongbin Cui Zhengjiang Li Mingyue Xiang Dali Han

Attention‐aware fully convolutional neural network with convolutional long short‐term memory network for ultrasound‐based motion tracking

2019 · Medical Physics · 31 citations

https://doi.org/10.1002/mp.13510

Pu Huang Gang Yu Hua Lü Danhua Liu

Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor

2020 · BMC Medical Imaging · 26 citations

https://doi.org/10.1186/s12880-020-00475-2

Chenlu Liu Changsheng Ma Jinghao Duan Qingtao Qiu

Gradient-based delineation of the primary GTV on FLT PET in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning

2015 · Radiation Oncology · 16 citations

https://doi.org/10.1186/s13014-014-0304-5

Guifang Zhang Dali Han Changsheng Ma Jie Lu

Development and validation of a 18F-FDG PET/CT radiomics nomogram for predicting progression free survival in locally advanced cervical cancer: a retrospective multicenter study

2024 · BMC Cancer · 15 citations

https://doi.org/10.1186/s12885-024-11917-3

Huiling Liu Yongbin Cui Cheng Chang Zichun Zhou

Research topics

topics

Advanced Radiotherapy Techniques

Radiomics and Machine Learning in Medical Imaging

Medical Imaging Techniques and Applications

Lung Cancer Diagnosis and Treatment

Medical Image Segmentation Techniques

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