Fang-Fang Yin

Fang-Fang Yin

Duke University

H-index: 72

North America-United States

About Fang-Fang Yin

Fang-Fang Yin, With an exceptional h-index of 72 and a recent h-index of 40 (since 2020), a distinguished researcher at Duke University, specializes in the field of medical physics, imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Prognostic value of different discretization parameters in 18fluorodeoxyglucose positron emission tomography radiomics of oropharyngeal squamous cell carcinoma

Quantifying U‐Net uncertainty in multi‐parametric MRI‐based Glioma segmentation by spherical image projection

Independent Monte Carlo dose calculation identifies single isocenter multi‐target radiosurgery targets most likely to fail pre‐treatment measurement

Dose-Incorporated Deep Ensemble Learning for Improving Brain Metastasis SRS Outcome Prediction

A Radiogenomic Deep Ensemble Learning Model for Identifying Radionecrosis Following Brain Metastasis Stereotactic Radiosurgery (SRS)

A Knowledge-Based Deep Learning Model of Synthetic CT Generation Using a Single MR Volume for Stereotactic Radiosurgery (SRS)

Radiomics on spatial‐temporal manifolds via Fokker–Planck dynamics

Generation, validation, and benchmarking of a commercial independent Monte Carlo calculation beam model for multi-target SRS

Fang-Fang Yin Information

University

Position

Professor of Radiation Oncology

Citations(all)

21754

Citations(since 2020)

8408

Cited By

16509

hIndex(all)

72

hIndex(since 2020)

40

i10Index(all)

284

i10Index(since 2020)

174

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

Fang-Fang Yin Skills & Research Interests

medical physics

imaging

Top articles of Fang-Fang Yin

Title

Journal

Author(s)

Publication Date

Prognostic value of different discretization parameters in 18fluorodeoxyglucose positron emission tomography radiomics of oropharyngeal squamous cell carcinoma

Journal of Medical Imaging

Breylon A Riley

Jack B Stevens

Xiang Li

Zhenyu Yang

Chunhao Wang

...

2024/3/1

Quantifying U‐Net uncertainty in multi‐parametric MRI‐based Glioma segmentation by spherical image projection

Medical Physics

Zhenyu Yang

Kyle Lafata

Eugene Vaios

Zongsheng Hu

Trey Mullikin

...

2024/3

Independent Monte Carlo dose calculation identifies single isocenter multi‐target radiosurgery targets most likely to fail pre‐treatment measurement

Journal of Applied Clinical Medical Physics

Brett Erickson

Yunfeng Cui

Markus Alber

Chunhao Wang

Fang Fang Yin

...

2024/1/30

Dose-Incorporated Deep Ensemble Learning for Improving Brain Metastasis SRS Outcome Prediction

International Journal of Radiation Oncology* Biology* Physics

Jingtong Zhao

Eugene Vaios

Yuqi Wang

Zhenyu Yang

Yunfeng Cui

...

2024/4/12

A Radiogenomic Deep Ensemble Learning Model for Identifying Radionecrosis Following Brain Metastasis Stereotactic Radiosurgery (SRS)

Cureus Journal of Medical Science

Jingtong Zhao

Eugene Vaios

Zhenyu Yang

Scott Robertson

Fang-Fang Yin

...

2024/3/6

A Knowledge-Based Deep Learning Model of Synthetic CT Generation Using a Single MR Volume for Stereotactic Radiosurgery (SRS)

Cureus Journal of Medical Science

Ke Lu

Fang-Fang Yin

John P Kirkpatrick

Chunhao Wang

2024/3/6

Radiomics on spatial‐temporal manifolds via Fokker–Planck dynamics

Medical Physics

Jack B Stevens

Breylon A Riley

Jihyeon Je

Yuan Gao

Chunhao Wang

...

2023

Generation, validation, and benchmarking of a commercial independent Monte Carlo calculation beam model for multi-target SRS

Zeitschrift für Medizinische Physik

Justus Adamson

Brett G Erickson

Chunhao Wang

Yunfeng Cui

Markus Alber

...

2023/9/14

Use of Secondary Monte Carlo Dose Calculation to Select SRS Targets for Pre-Treatment Measurement

Cureus Journal of Medical Science

Brett Erickson

Yunfeng Cui

Chunhao Wang

Markus L Alber

Fang-Fang Yin

...

2023/4/2

Are we ready for the SBRT option using proton beams?

Journal of Radiosurgery and SBRT

Kristin A Higgins

Fang-Fang Yin

2023

A radiomics-incorporated deep ensemble learning model for multi-parametric MRI-based glioma segmentation

Physics in Medicine & Biology

Yang Chen

Zhenyu Yang

Jingtong Zhao

Justus Adamson

Yang Sheng

...

2023/9/13

Post SBRT or Surgery Local Failure Prediction using Pre-treatment CT in Early-Stage NSCLC Patients Using a Novel Multi-Feature-Combined Model

Cureus Journal of Medical Science

Zhenyu Yang

Chunhao Wang

Kyle Lafata

Haozhao Zhang

Brad Ackerson

...

2023/4/2

Proton stereotactic body radiation therapy as a new treatment regimen: Technical development and limitation with initial clinical experience

Journal of Radiosurgery and SBRT

Liyong Lin

Fang Fang Yin

Kristin A Higgins

Samuel Ryu

Charles B Simone

2023

Single-Iso-Multiple-Targets (SIMT) Radiosurgery Plan Quality Control via a Novel Deep Neural Network with Spherical Convolutions

Cureus Journal of Medical Science

Zhenyu Yang

Mercedeh Khazaieli

Eugene Vaios

Trey Mullikin

Albert Yang

...

2023/4/2

A neural ordinary differential equation model for visualizing deep neural network behaviors in multi‐parametric MRI‐based glioma segmentation

Medical Physics

Zhenyu Yang

Zongsheng Hu

Hangjie Ji

Kyle Lafata

Eugene Vaios

...

2023/8

Development of a multi-feature-combined model: proof-of-concept with application to local failure prediction of post-SBRT or surgery early-stage NSCLC patients

Frontiers in Oncology

Zhenyu Yang

Chunhao Wang

Yuqi Wang

Kyle J Lafata

Haozhao Zhang

...

2023

Uncertainties in the dosimetric heterogeneity correction and its potential effect on local control in lung SBRT

Biomedical Physics & Engineering Express

Brett G Erickson

Yunfeng Cui

Bradley G Ackerson

Christopher R Kelsey

Fang-Fang Yin

...

2023/3/7

A Radiogenomic Machine Learning Model for Glioblastoma Post-Resection Overall Survival Group Prediction

International Journal of Radiation Oncology, Biology, Physics

L Wang

EJ Vaios

Z Yang

J Zhao

FF Yin

...

2023/10/1

Stereotactic radiosurgery vs conventional radiotherapy for localized vertebral metastases of the spine: phase 3 results of NRG Oncology/RTOG 0631 randomized clinical trial

JAMA oncology

Samuel Ryu

Snehal Deshmukh

Robert D Timmerman

Benjamin Movsas

Peter Gerszten

...

2023/6/1

Systems and methods for specifying treatment criteria and treatment parameters for patient specific radiation therapy planning

2020/4/9

See List of Professors in Fang-Fang Yin University(Duke University)