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Randall K. Ten Haken

University of Michigan(US)

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555

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28.2K

Citations

84

h-index

252

i10-index

Randall K. Ten Haken is an academic researcher from University of Michigan. The author has contributed to research in topics: Advanced Radiotherapy Techniques & Lung Cancer Diagnosis and Treatment & Radiation Therapy and Dosimetry. The author has an h-index of 84, co-authored 472 publications.

ORCID: 0000-0003-1331-0297

Research Topics

Advanced Radiotherapy Techniques Lung Cancer Diagnosis and Treatment Radiation Therapy and Dosimetry Medical Imaging Techniques and Applications Radiomics and Machine Learning in Medical Imaging

Papers by this author

works

Dose, volume, and function relationships in parotid salivary glands following conformal and intensity-modulated irradiation of head and neck cancer

1999 · International Journal of Radiation Oncology*Biology*Physics · 915 citations

https://doi.org/10.1016/s0360-3016(99)00247-3

Avraham Eisbruch Randall K. Ten Haken Hyungjin Myra Kim Lon H. Marsh

Improving Normal Tissue Complication Probability Models: The Need to Adopt a “Data-Pooling” Culture

2010 · International Journal of Radiation Oncology*Biology*Physics · 119 citations

https://doi.org/10.1016/j.ijrobp.2009.06.094

Joseph O. Deasy Søren M. Bentzen Andrew Jackson Randall K. Ten Haken

Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling

2019 · BJR|Open · 107 citations

https://doi.org/10.1259/bjro.20190021

Yi Luo H. Eric Tseng Sunan Cui Lise Wei

The big data effort in radiation oncology: Data mining or data farming?

2016 · Advances in Radiation Oncology · 69 citations

https://doi.org/10.1016/j.adro.2016.10.001

Charles S. Mayo Marc L. Kessler Avraham Eisbruch Grant Weyburne

Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy

2021 · International Journal of Radiation Oncology*Biology*Physics · 65 citations

https://doi.org/10.1016/j.ijrobp.2021.01.042

Sunan Cui Randall K. Ten Haken Issam El Naqa

Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy

2021 · Scientific Reports · 52 citations

https://doi.org/10.1038/s41598-021-02910-y

Dipesh Niraula Jamalina Jamaluddin M.M. Matuszak Randall K. Ten Haken

Research topics

topics

Advanced Radiotherapy Techniques

Lung Cancer Diagnosis and Treatment

Radiation Therapy and Dosimetry

Medical Imaging Techniques and Applications

Radiomics and Machine Learning in Medical Imaging

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