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Medicine

D-Index
76
Citations
17440
World Ranking
18920
National Ranking
9430

Overview

Di Yan is a researcher affiliated with Beaumont Health in the United States, with a focus spanning medicine and engineering. Their extensive work addresses multiple subfields, including radiation, pulmonary and respiratory medicine, electrical and electronic engineering, radiology, nuclear medicine and imaging, and computer vision and pattern recognition.

The researcher's main topics of interest cover various aspects of radiotherapy and medical imaging. These include advanced radiotherapy techniques, radiation therapy and dosimetry, medical imaging techniques and applications, radiomics and machine learning in medical imaging, radiation effects in electronics, and prostate cancer diagnosis and treatment.

Several frequent coauthors have contributed to Di Yan's publications, among them Xuanfeng Ding, Craig Stevens, Lewei Zhao, An Qin, and Weili Zheng. These longstanding collaborations have supported research output across various domains of study.

Di Yan's recent published papers include:

  • Improve the dosimetric outcome in bilateral head and neck cancer (HNC) treatment using spot-scanning proton arc (SPArc) therapy: a feasibility study, 2020, Radiation Oncology
  • Feasibility study: spot-scanning proton arc therapy (SPArc) for left-sided whole breast radiotherapy, 2020, Radiation Oncology
  • A novel energy sequence optimization algorithm for efficient spot-scanning proton arc (SPArc) treatment delivery, 2020, Acta Oncologica
  • Association of meat consumption with the risk of gastrointestinal cancers: a systematic review and meta-analysis, 2023, BMC Cancer
  • A New Framework for Winter Wheat Yield Prediction Integrating Deep Learning and Bayesian Optimization, 2022, Agronomy

Di Yan regularly publishes in several venues, with the most frequent being:

  • International Journal of Radiation Oncology*Biology*Physics (15 publications)
  • arXiv (Cornell University) (10 publications)
  • Frontiers in Oncology (5 publications)
  • Radiotherapy and Oncology (5 publications)
  • Medical Physics (4 publications)

Their work demonstrates integration across the medical and engineering fields, often focusing on improving radiation therapy methods, optimizing imaging techniques, and applying machine learning to medical contexts.

Best Publications

  • Adaptive radiation therapy

    Di Yan;Frank Vicini;John Wong;Alvaro Martinez

  • An off-line strategy for constructing a patient-specific planning target volume in adaptive treatment process for prostate cancer.

    Di Yan;David Lockman;Donald Brabbins;Laura Tyburski

  • Intensity modulation to improve dose uniformity with tangential breast radiotherapy: initial clinical experience.

    Larry L Kestin;Michael B Sharpe;Robert C Frazier;Frank A Vicini

  • Potential for reduced toxicity and dose escalation in the treatment of inoperable non–small-cell lung cancer: A comparison of intensity-modulated radiation therapy (IMRT), 3D conformal radiation, and elective nodal irradiation

    Inga S Grills;Di Yan;Alvaro A Martinez;Frank A Vicini

  • Defining A radiotherapy target with positron emission tomography

    Quinten C. Black;Inga S. Grills;Larry L. Kestin;Ching Yee O. Wong

  • A model to accumulate fractionated dose in a deforming organ

    Di Yan;D.A. Jaffray;J.W. Wong

  • Evaluation of a 2D diode array for IMRT quality assurance

    Daniel Létourneau;Misbah Gulam;Di Yan;Mark Oldham

  • The dose-volume realationship of acute small bowel toxicity from concurrent 5-FU-based chemotherapy and radiation therapy for rectal cancer

    Kathy L Baglan;Robert C Frazier;Di Yan;Raywin R Huang

  • Adaptive modification of treatment planning to minimize the deleterious effects of treatment setup errors.

    Di Yan;John Wong;Frank Vicini;Jeff Michalski

  • Cone-beam-CT guided radiation therapy: A model for on-line application.

    Mark Oldham;Daniel Létourneau;Lindsay Watt;Geoffrey Hugo

  • Image-Guided Radiotherapy via Daily Online Cone-Beam CT Substantially Reduces Margin Requirements for Stereotactic Lung Radiotherapy

    Inga S. Grills;Geoffrey Hugo;Larry L. Kestin;Ana Paula Galerani

  • Adaptive Replanning Strategies Accounting for Shrinkage in Head and Neck IMRT

    Qiuwen Wu;Qiuwen Wu;Yuwei Chi;Peter Y. Chen;Daniel J. Krauss

  • Dose-volume analysis of predictors for chronic rectal toxicity after treatment of prostate cancer with adaptive image-guided radiotherapy.

    Carlos Vargas;Alvaro Martinez;Larry L. Kestin;Di Yan

  • A Collaborative Analysis of Stereotactic Lung Radiotherapy Outcomes for Early-Stage Non–Small-Cell Lung Cancer Using Daily Online Cone-Beam Computed Tomography Image-Guided Radiotherapy

    Inga Siiner Grills;Andrew J. Hope;Matthias Guckenberger;Larry L. Kestin

  • Improvement in dose escalation using the process of adaptive radiotherapy combined with three-dimensional conformal or intensity-modulated beams for prostate cancer

    Alvaro A Martinez;Di Yan;David Lockman;Donald Brabbins

  • Online image-guided intensity-modulated radiotherapy for prostate cancer: How much improvement can we expect? A theoretical assessment of clinical benefits and potential dose escalation by improving precision and accuracy of radiation delivery.

    Michel Ghilezan;Di Yan;Jian Liang;David Jaffray

  • Automatic Delineation of On-Line Head-And-Neck Computed Tomography Images: Toward On-Line Adaptive Radiotherapy

    Tiezhi Zhang;Yuwei Chi;Elisa Meldolesi;Di Yan

  • Computed tomography guided management of interfractional patient variation.

    Di Yan;David Lockman;Alvaro Martinez;John Wong

  • Assessment of residual error for online cone-beam CT-guided treatment of prostate cancer patients

    Daniel Létourneau;Alvaro A. Martinez;David Lockman;Di Yan

  • Setup error in radiotherapy: on-line correction using electronic kilovoltage and megavoltage radiographs

    Laura Pisani;Laura Pisani;David Lockman;David Jaffray;David Jaffray;Di Yan;Di Yan

Frequent Co-Authors

Alvaro Martinez
Alvaro Martinez Beaumont Health
Larry L. Kestin
Larry L. Kestin Beaumont Health
John Wong
John Wong Johns Hopkins University
Frank A. Vicini
Frank A. Vicini Beaumont Health
David A. Jaffray
David A. Jaffray The University of Texas MD Anderson Cancer Center
George D. Wilson
George D. Wilson Beaumont Health
Matthias Guckenberger
Matthias Guckenberger University of Zurich
Chirag Shah
Chirag Shah University of Washington
Jeff M. Michalski
Jeff M. Michalski Washington University in St. Louis
Jia Li
Jia Li Pennsylvania State University

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