Y. Ge

发表

An Interpretable Machine Learning Framework for Accurate Severe vs Non-Severe COVID-19 Clinical Type Classification

Ying-ying Chen, L. Ouyang, F. S. Bao, 2020 .

Quantitative analysis of the factors which affect the interpatient organ-at-risk dose sparing variation in IMRT plans.

Y. Ge, F. Yin, W. Lee, 2012, Medical physics.

Standardized beam bouquets for lung IMRT planning

Y. Ge, F. Yin, C. Kelsey, 2015, Physics in Medicine and Biology.

The CardioVascular Research Grid ( CVRG ) Project

Michael I. Miller, Ian Foster, Donald Geman, 2012 .

A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis

Y. Ge, Shi Chen, D. Janies, 2021, Journal of Medical Internet Research.

From active shape model to active optical flow model: a shape-based approach to predicting voxel-level dose distributions in spine SBRT

Fang-Fang Yin, Yaorong Ge, Lulin Yuan, 2015, Physics in medicine and biology.

Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach.

L. Ouyang, F. S. Bao, Qian Li, 2021, Journal of medical Internet research.

Towards Obesity Surveillance Using Multifaceted Online Social Relational Factors in Reddit

Y. Ge, Albert Park, 2019, Online Journal of Public Health Informatics.

Lung IMRT planning with automatic determination of beam angle configurations

Fang-Fang Yin, Yaorong Ge, Yang Sheng, 2018, Physics in medicine and biology.

Incorporating single-side sparing in models for predicting parotid dose sparing in head and neck IMRT.

Fang-Fang Yin, Yaorong Ge, Yuliang Jiang, 2014, Medical physics.

Development of an Ultra-Fast, High-Quality Whole-Breast Radiation Therapy Treatment Planning System

Fang-Fang Yin, Yaorong Ge, Manisha Palta, 2016 .

Normal Tissue Toxicity Criteria in Radiation Therapy

Y. Ge, F. Yin, Lulin Yuan, 2013 .

Identifying Influential Factors in the Discussion Dynamics of Emerging Health Issues on Social Media: Computational Study

Y. Ge, Shi Chen, L. Safarnejad, 2020, JMIR public health and surveillance.

Machine learning and modeling: Data, validation, communication challenges

Todd McNutt, Yaorong Ge, Issam El Naqa, 2018, Medical physics.

Outlier identification in radiation therapy knowledge‐based planning: A study of pelvic cases

Yaorong Ge, Yang Sheng, Qingrong Jackie Wu, 2017, Medical physics.

DIR — A semantic information resource for healthcare datasets

Jingyi Shi, Yaorong Ge, Lixia Yao, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Multimodality Machine Learning Approach to Differentiate Severe and Nonsevere COVID-19: Model Development and Validation

F. S. Bao, L. Ouyang, Qian Li, 2021, Journal of Medical Internet Research.

A Multimodality Machine Learning Approach to Differentiate Severe and Nonsevere COVID-19: Model Development and Validation (Preprint)

F. S. Bao, L. Ouyang, Qian Li, 2020 .

An Interpretable Machine Learning Framework for Accurate Severe vs Non-severe COVID-19 Clinical Type Classification

Y. Chen, J. Liu, S. Chen, 2020, medRxiv.

Accurately Differentiating COVID-19, Other Viral Infection, and Healthy Individuals Using Multimodal Features via Late Fusion Learning

M. Xu, L. Ouyang, Y. Gao, 2020, medRxiv.

Predicting Neural Deterioration in Patients with Alzheimer’s Disease Using a Convolutional Neural Network

Mirsad Hadzikadic, Yaorong Ge, Tavakoli H. Maryam, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Modeling the dosimetry of organ-at-risk in head and neck IMRT planning: an intertechnique and interinstitutional study.

Yaorong Ge, Jun Lian, Bhishamjit S. Chera, 2013, Medical physics.

An Artificial Intelligence-Driven Agent for Real-Time Head-and-Neck IMRT Plan Generation using Conditional Generative Adversarial Network (cGAN).

Yaorong Ge, Xinyi Li, Jiahan Zhang, 2020, Medical physics.

Triaging moderate COVID-19 and other viral pneumonias from routine blood tests pdf

Ming Xu, Lei Han, Yaorong Ge, 2020, ArXiv.

Fluence Map Prediction Using Deep Learning Models – Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy

Yaorong Ge, Fang-Fang Yin, Jiahan Zhang, 2020, Frontiers in Artificial Intelligence.

Automatic IMRT planning via static field fluence prediction (AIP-SFFP): a deep learning algorithm for real-time prostate treatment planning

Fang-Fang Yin, Yaorong Ge, Yang Sheng, 2020, Physics in medicine and biology.

Knowledge‐based planning for intensity‐modulated radiation therapy: A review of data‐driven approaches

Yaorong Ge, Q Jackie Wu, Y. Ge, 2019, Medical physics.

Automatic Planning of Whole Breast Radiation Therapy Using Machine Learning Models

Yaorong Ge, Fang-Fang Yin, Yang Sheng, 2019, Front. Oncol..

A planning quality evaluation tool for prostate adaptive IMRT based on machine learning.

Fang-Fang Yin, Yaorong Ge, Danthai Thongphiew, 2011, Medical physics.

Artificial intelligence applications in intensity modulated radiation treatment planning: an overview.

Fang-Fang Yin, Yaorong Ge, Yang Sheng, 2021, Quantitative imaging in medicine and surgery.

An interpretable planning bot for pancreas stereotactic body radiation therapy.

Yaorong Ge, Jiang Zhang, Jiahan Zhang, 2020, International journal of radiation oncology, biology, physics.

Knowledge-based tradeoff hyperplanes for head-and-neck treatment planning.

Fang-Fang Yin, Yaorong Ge, Yang Sheng, 2020, International journal of radiation oncology, biology, physics.

Dose Prediction for Prostate Radiation Treatment: Feasibility of a Distance-Based Deep Learning Model

Mirsad Hadzikadic, Yaorong Ge, Boshu Ru, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Modeling of multiple planning target volumes for head and neck treatments in knowledge-based treatment planning.

Fang-Fang Yin, Yaorong Ge, Yang Sheng, 2019, Medical physics.

Representing Knowledge for Radiation Therapy Planning with Markov Logic Networks

Yi Zhen, Yaorong Ge, Lulin Yuan, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Analyzing the usage of standards in radiation therapy clinical studies

Lulin Yuan, Yuliang Jiang, Y. Ge, 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Atlas-guided prostate intensity modulated radiation therapy (IMRT) planning

Fang-Fang Yin, Yaorong Ge, Yang Sheng, 2015, Physics in medicine and biology.

Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): Architecture

Xiaobo Zhou, Keith Marsolo, George Hripcsak, 2014, J. Am. Medical Informatics Assoc..

Deep Learning–Based Fluence Map Prediction for Pancreas Stereotactic Body Radiation Therapy With Simultaneous Integrated Boost

Qiuwen Wu, Y. Ge, F. Yin, 2021, Advances in radiation oncology.

Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study

Yaorong Ge, Jing Cai, Fang-Fang Yin, 2020, Frontiers in Artificial Intelligence.

CASMI—An Entropic Feature Selection Method in Turing’s Perspective

Yaorong Ge, Jialin Zhang, Jingyi Shi, 2019, Entropy.

An entropic feature selection method in perspective of Turing formula pdf

Jingyi Shi, Jialin Zhang, Yaorong Ge, 2019, ArXiv.

Developing a healthcare dataset information resource (DIR) based on Semantic Web

Lixia Yao, Y. Ge, Jingyi Shi, 2018, BMC Medical Genomics.

An Association-Based Intrinsic Quality Index for Healthcare Dataset Ranking

Yaorong Ge, Jialin Zhang, Jingyi Shi, 2019, 2019 IEEE International Conference on Healthcare Informatics (ICHI).

A Publication-Based Popularity Index (PPI) for Healthcare Dataset Ranking

Jingyi Shi, Yaorong Ge, Lixia Yao, 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

Both intermuscular fat and LVEF decline promote heart failure symptoms in cancer survivors

Y. Ge, R. D'Agostino, Alexander R. Lucas, 2021, Cardio-Oncology.

Two Photon Dose Engines for Accurate and Fast Volumetric Modulated Arc Therapy

Yaorong Ge, Yang Sheng, Qiuwen Wu, 2019, 2019 Advances in Science and Engineering Technology International Conferences (ASET).

Transfer learning for fluence map prediction in adrenal stereotactic body radiation therapy

Qiuwen Wu, Y. Ge, F. Yin, 2021, Physics in medicine and biology.

Predictive Models for Assuring Quality and Consistency of Lung IMRT Plans Across Institutions in Cooperative Group Trials

R. Mohan, Qiuwen Wu, J. Galvin, 2014 .

Input feature design and its impact on the performance of deep learning models for predicting fluence maps in intensity-modulated radiation therapy

Qiuwen Wu, Y. Ge, F. Yin, 2022, Physics in medicine and biology.

Contrasting Misinformation and Real-Information Dissemination Network Structures on Social Media During a Health Emergency.

Qian Xu, Yaorong Ge, Lida Safarnejad, 2020, American journal of public health.

An Ensemble Approach to Knowledge-Based Intensity-Modulated Radiation Therapy Planning

Fang-Fang Yin, Yaorong Ge, Jiahan Zhang, 2018, Front. Oncol..

Temporal lobe injury patterns following intensity modulated radiotherapy in a large cohort of nasopharyngeal carcinoma patients.

Y. Ge, Hui Chang, Y. Sheng, 2018, Oral oncology.

Incorporating Case-Based Reasoning for Radiation Therapy Knowledge Modeling: A Pelvic Case Study

Fang-Fang Yin, Yaorong Ge, Yang Sheng, 2019, Technology in cancer research & treatment.

Knowledge-Based Treatment Planning

Y. Ge, Jiahan Zhang, Q. J. Wu, 2022, Machine and Deep Learning in Oncology, Medical Physics and Radiology.

Knowledge based Automatic Beam Angle Determination for Lung IMRT Planning

Fang-Fang Yin, Yaorong Ge, Lulin Yuan, 2015 .

A deep-learning based system for accurate extraction of blood pressure data in clinical narratives.

Yi Zhen, Yaorong Ge, Tianyi Xie, 2020, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

A data-driven approach to optimal beam/arc angle selection for liver stereotactic body radiation therapy treatment planning.

Yaorong Ge, Yang Sheng, Lulin Yuan, 2021, Quantitative imaging in medicine and surgery.

Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): Architecture

Joshua C. Mandel, Jeffrey G. Klann, Jonathan P. Bickel, 2014, Journal of the American Medical Informatics Association : JAMIA.

A reinforcement learning agent for head and neck intensity-modulated radiation therapy

Y. Ge, Y. Sheng, H. Stephens, 2024, Frontiers in Physics.

A Rapid Learning Approach to the Knowledge Modeling of Radiation Therapy Planning

Qiuwen Wu, Y. Ge, F. Yin, 2015 .

Quantitative comparison of automatic and manual IMRT optimization for prostate cancer: the benefits of DVH prediction

Yaorong Ge, Lulin Yuan, Taoran Li, 2015, Journal of applied clinical medical physics.

Modeling the dosimetry of organ-at-risk in head and neck IMRT planning: an intertechnique and interinstitutional study.

Sha X. Chang, Y. Ge, J. Lian, 2013, Medical physics.

Response to “Comment on ‘A planning quality evaluation tool for prostate adaptive IMRT based on machine learning’ ” [Med. Phys. 38, 719 (2011)]: Response to

Fang-Fang Yin, Yaorong Ge, Q. Jackie Wu, 2011 .

Knowledge Modeling for Computer Aided Treatment Planning

Qiuwen Wu, Y. Ge, F. Yin, 2015 .

Knowledge-Based Statistical Inference Method for Plan Quality Quantification

Fang-Fang Yin, Yaorong Ge, Yang Sheng, 2019, Technology in cancer research & treatment.

A Multimodality Machine Learning Approach to Differentiate Severe and Nonsevere COVID-19: Model Development and Validation

F. S. Bao, L. Ouyang, Qian Li, 2021, Journal of medical Internet research.

Knowledge-Based Treatment Planning

Y. Ge, Jiahan Zhang, Q. J. Wu, 2022, Machine and Deep Learning in Oncology, Medical Physics and Radiology.